Red Hat Enterprise Linux 4

Cluster Suite Overview

Red Hat Cluster Suite for Red Hat Enterprise Linux

Edition 1.0

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Abstract

Red Hat Cluster Suite Overview provides an overview of Red Hat Cluster Suite for Red Hat Enterprise Linux 4.

Introduction

1. Document Conventions

1.1. Typographic Conventions
1.2. Pull-quote Conventions
1.3. Notes and Warnings

2. Feedback

1. Red Hat Cluster Suite Overview

1.1. Cluster Basics

1.2. Red Hat Cluster Suite Introduction

1.3. Cluster Infrastructure

1.3.1. Cluster Management
1.3.2. Lock Management
1.3.3. Fencing
1.3.4. Cluster Configuration System

1.4. High-availability Service Management

1.5. Red Hat GFS

1.5.1. Superior Performance and Scalability
1.5.2. Performance, Scalability, Moderate Price
1.5.3. Economy and Performance

1.6. Cluster Logical Volume Manager

1.7. Global Network Block Device

1.8. Linux Virtual Server

1.8.1. Two-Tier LVS Topology
1.8.2. Three-Tier LVS Topology
1.8.3. Routing Methods
1.8.4. Persistence and Firewall Marks

1.9. Cluster Administration Tools

1.9.1. Conga
1.9.2. Cluster Administration GUI
1.9.3. Command Line Administration Tools

1.10. Linux Virtual Server Administration GUI

1.10.1. CONTROL/MONITORING
1.10.2. GLOBAL SETTINGS
1.10.3. REDUNDANCY
1.10.4. VIRTUAL SERVERS

2. Red Hat Cluster Suite Component Summary

2.1. Cluster Components
2.2. Man Pages
2.3. Compatible Hardware

A. Revision History

Index

Introduction

This document provides a high-level overview of Red Hat Cluster Suite for Red Hat Enterprise Linux 4. Although the information in this document is an overview, you should have advanced working knowledge of Red Hat Enterprise Linux and understand the concepts of server computing to gain a good comprehension of the information. For more information about using Red Hat Enterprise Linux, refer to the following resources:

Red Hat Enterprise Linux Installation Guide — Provides information regarding installation.
Red Hat Enterprise Linux Introduction to System Administration — Provides introductory information for new Red Hat Enterprise Linux system administrators.
Red Hat Enterprise Linux System Administration Guide — Provides more detailed information about configuring Red Hat Enterprise Linux to suit your particular needs as a user.
Red Hat Enterprise Linux Reference Guide — Provides detailed information suited for more experienced users to reference when needed, as opposed to step-by-step instructions.
Red Hat Enterprise Linux Security Guide — Details the planning and the tools involved in creating a secured computing environment for the data center, workplace, and home.

This document contains overview information about Red Hat Cluster Suite for Red Hat Enterprise Linux 4 and is part of a documentation set that provides conceptual, procedural, and reference information about Red Hat Cluster Suite for Red Hat Enterprise Linux 4.

Red Hat Cluster Suite documentation and other Red Hat documents are available in HTML, PDF, and RPM versions on the Red Hat Enterprise Linux Documentation CD and online at http://www.redhat.com/docs/.

For more information about Red Hat Cluster Suite for Red Hat Enterprise Linux 4, refer to the following resources:

Configuring and Managing a Red Hat Cluster — Provides information about installing, configuring and managing Red Hat Cluster components.
LVM Administrator's Guide: Configuration and Administration — Provides a description of the Logical Volume Manager (LVM), including information on running LVM in a clustered environment.
Global File System: Configuration and Administration — Provides information about installing, configuring, and maintaining Red Hat GFS (Red Hat Global File System).
Using Device-Mapper Multipath — Provides information about using the Device-Mapper Multipath feature of Red Hat Enterprise Linux 4.
Using GNBD with Global File System — Provides an overview on using Global Network Block Device (GNBD) with Red Hat GFS.
Linux Virtual Server Administration — Provides information on configuring high-performance systems and services with the Linux Virtual Server (LVS).
Red Hat Cluster Suite Release Notes — Provides information about the current release of Red Hat Cluster Suite.

1. Document Conventions

This manual uses several conventions to highlight certain words and phrases and draw attention to specific pieces of information.

In PDF and paper editions, this manual uses typefaces drawn from the Liberation Fonts set. The Liberation Fonts set is also used in HTML editions if the set is installed on your system. If not, alternative but equivalent typefaces are displayed. Note: Red Hat Enterprise Linux 5 and later includes the Liberation Fonts set by default.

1.1. Typographic Conventions

Four typographic conventions are used to call attention to specific words and phrases. These conventions, and the circumstances they apply to, are as follows.

Mono-spaced Bold

Used to highlight system input, including shell commands, file names and paths. Also used to highlight keycaps and key combinations. For example:

To see the contents of the file my_next_bestselling_novel in your current working directory, enter the cat my_next_bestselling_novel command at the shell prompt and press Enter to execute the command.

The above includes a file name, a shell command and a keycap, all presented in mono-spaced bold and all distinguishable thanks to context.

Key combinations can be distinguished from keycaps by the hyphen connecting each part of a key combination. For example:

Press Enter to execute the command.
Press Ctrl+Alt+F2 to switch to the first virtual terminal. Press Ctrl+Alt+F1 to return to your X-Windows session.

The first paragraph highlights the particular keycap to press. The second highlights two key combinations (each a set of three keycaps with each set pressed simultaneously).

If source code is discussed, class names, methods, functions, variable names and returned values mentioned within a paragraph will be presented as above, in mono-spaced bold. For example:

File-related classes include filesystem for file systems, file for files, and dir for directories. Each class has its own associated set of permissions.

Proportional Bold

This denotes words or phrases encountered on a system, including application names; dialog box text; labeled buttons; check-box and radio button labels; menu titles and sub-menu titles. For example:

Choose System → Preferences → Mouse from the main menu bar to launch Mouse Preferences. In the Buttons tab, click the Left-handed mouse check box and click Close to switch the primary mouse button from the left to the right (making the mouse suitable for use in the left hand).
To insert a special character into a gedit file, choose Applications → Accessories → Character Map from the main menu bar. Next, choose Search → Find… from the Character Map menu bar, type the name of the character in the Search field and click Next. The character you sought will be highlighted in the Character Table. Double-click this highlighted character to place it in the Text to copy field and then click the Copy button. Now switch back to your document and choose Edit → Paste from the gedit menu bar.

The above text includes application names; system-wide menu names and items; application-specific menu names; and buttons and text found within a GUI interface, all presented in proportional bold and all distinguishable by context.

Mono-spaced Bold Italic or Proportional Bold Italic

Whether mono-spaced bold or proportional bold, the addition of italics indicates replaceable or variable text. Italics denotes text you do not input literally or displayed text that changes depending on circumstance. For example:

To connect to a remote machine using ssh, type ssh username@domain.name at a shell prompt. If the remote machine is example.com and your username on that machine is john, type ssh john@example.com.
The mount -o remount file-system command remounts the named file system. For example, to remount the /home file system, the command is mount -o remount /home.
To see the version of a currently installed package, use the rpm -q package command. It will return a result as follows: package-version-release.

Note the words in bold italics above — username, domain.name, file-system, package, version and release. Each word is a placeholder, either for text you enter when issuing a command or for text displayed by the system.

Aside from standard usage for presenting the title of a work, italics denotes the first use of a new and important term. For example:

Publican is a DocBook publishing system.

1.2. Pull-quote Conventions

Terminal output and source code listings are set off visually from the surrounding text.

Output sent to a terminal is set in mono-spaced roman and presented thus:

books        Desktop   documentation  drafts  mss    photos   stuff  svn
books_tests  Desktop1  downloads      images  notes  scripts  svgs

Source-code listings are also set in mono-spaced roman but add syntax highlighting as follows:

package org.jboss.book.jca.ex1;

import javax.naming.InitialContext;

public class ExClient
{
   public static void main(String args[]) 
       throws Exception
   {
      InitialContext iniCtx = new InitialContext();
      Object         ref    = iniCtx.lookup("EchoBean");
      EchoHome       home   = (EchoHome) ref;
      Echo           echo   = home.create();

      System.out.println("Created Echo");

      System.out.println("Echo.echo('Hello') = " + echo.echo("Hello"));
   }
}

1.3. Notes and Warnings

Finally, we use three visual styles to draw attention to information that might otherwise be overlooked.

Note

Notes are tips, shortcuts or alternative approaches to the task at hand. Ignoring a note should have no negative consequences, but you might miss out on a trick that makes your life easier.

Important

Important boxes detail things that are easily missed: configuration changes that only apply to the current session, or services that need restarting before an update will apply. Ignoring a box labeled 'Important' will not cause data loss but may cause irritation and frustration.

Warning

Warnings should not be ignored. Ignoring warnings will most likely cause data loss.

2. Feedback

If you spot a typo, or if you have thought of a way to make this document better, we would love to hear from you. Please submit a report in Bugzilla (http://bugzilla.redhat.com/bugzilla/) against the component rh-cs-en.

Be sure to mention the document's identifier:

Cluster_Suite_Overview(EN)-4.8 (2009-04-24:T15:25)

By mentioning this document's identifier, we know exactly which version of the guide you have.

If you have a suggestion for improving the documentation, try to be as specific as possible. If you have found an error, please include the section number and some of the surrounding text so we can find it easily.

Chapter 1. Red Hat Cluster Suite Overview

Clustered systems provide reliability, scalability, and availability to critical production services. Using Red Hat Cluster Suite, you can create a cluster to suit your needs for performance, high availability, load balancing, scalability, file sharing, and economy. This chapter provides an overview of Red Hat Cluster Suite components and functions, and consists of the following sections:

Section 1.1, “Cluster Basics”
Section 1.2, “Red Hat Cluster Suite Introduction”
Section 1.3, “Cluster Infrastructure”
Section 1.4, “High-availability Service Management”
Section 1.5, “Red Hat GFS”
Section 1.6, “Cluster Logical Volume Manager”
Section 1.7, “Global Network Block Device”
Section 1.8, “Linux Virtual Server”
Section 1.9, “Cluster Administration Tools”
Section 1.10, “Linux Virtual Server Administration GUI”

1.1. Cluster Basics

A cluster is two or more computers (called nodes or members) that work together to perform a task. There are four major types of clusters:

Storage
High availability
Load balancing
High performance

Storage clusters provide a consistent file system image across servers in a cluster, allowing the servers to simultaneously read and write to a single shared file system. A storage cluster simplifies storage administration by limiting the installation and patching of applications to one file system. Also, with a cluster-wide file system, a storage cluster eliminates the need for redundant copies of application data and simplifies backup and disaster recovery. Red Hat Cluster Suite provides storage clustering through Red Hat GFS.

High-availability clusters provide continuous availability of services by eliminating single points of failure and by failing over services from one cluster node to another in case a node becomes inoperative. Typically, services in a high-availability cluster read and write data (via read-write mounted file systems). Therefore, a high-availability cluster must maintain data integrity as one cluster node takes over control of a service from another cluster node. Node failures in a high-availability cluster are not visible from clients outside the cluster. (High-availability clusters are sometimes referred to as failover clusters.) Red Hat Cluster Suite provides high-availability clustering through its High-availability Service Management component.

Load-balancing clusters dispatch network service requests to multiple cluster nodes to balance the request load among the cluster nodes. Load balancing provides cost-effective scalability because you can match the number of nodes according to load requirements. If a node in a load-balancing cluster becomes inoperative, the load-balancing software detects the failure and redirects requests to other cluster nodes. Node failures in a load-balancing cluster are not visible from clients outside the cluster. Red Hat Cluster Suite provides load-balancing through LVS (Linux Virtual Server).

High-performance clusters use cluster nodes to perform concurrent calculations. A high-performance cluster allows applications to work in parallel, therefore enhancing the performance of the applications. (High performance clusters are also referred to as computational clusters or grid computing.)

Note

The cluster types summarized in the preceding text reflect basic configurations; your needs might require a combination of the clusters described.

1.2. Red Hat Cluster Suite Introduction

Red Hat Cluster Suite (RHCS) is an integrated set of software components that can be deployed in a variety of configurations to suit your needs for performance, high-availability, load balancing, scalability, file sharing, and economy.

RHCS consists of the following major components (refer to Figure 1.1, “Red Hat Cluster Suite Introduction”):

Cluster infrastructure — Provides fundamental functions for nodes to work together as a cluster: configuration-file management, membership management, lock management, and fencing.
High-availability Service Management — Provides failover of services from one cluster node to another in case a node becomes inoperative.
Cluster administration tools — Configuration and management tools for setting up, configuring, and managing a Red Hat cluster. The tools are for use with the Cluster Infrastructure components, the High-availability and Service Management components, and storage.
Linux Virtual Server (LVS) — Routing software that provides IP-Load-balancing. LVS runs in a pair of redundant servers that distributes client requests evenly to real servers that are behind the LVS servers.

You can supplement Red Hat Cluster Suite with the following components, which are part of an optional package (and not part of Red Hat Cluster Suite):

Red Hat GFS (Global File System) — Provides a cluster file system for use with Red Hat Cluster Suite. GFS allows multiple nodes to share storage at a block level as if the storage were connected locally to each cluster node.
Cluster Logical Volume Manager (CLVM) — Provides volume management of cluster storage.
Note
When you create or modify a CLVM volume for a clustered environment, you must ensure that you are running the clvmd daemon. For further information, refer to Section 1.6, “Cluster Logical Volume Manager”.
Global Network Block Device (GNBD) — An ancillary component of GFS that exports block-level storage to Ethernet. This is an economical way to make block-level storage available to Red Hat GFS.

For a lower level summary of Red Hat Cluster Suite components and optional software, refer to Chapter 2, Red Hat Cluster Suite Component Summary.

Red Hat Cluster Suite Introduction

Figure 1.1. Red Hat Cluster Suite Introduction

Note

Figure 1.1, “Red Hat Cluster Suite Introduction” includes GFS, CLVM, and GNBD, which are components that are part of an optional package and not part of Red Hat Cluster Suite.

1.3. Cluster Infrastructure

The Red Hat Cluster Suite cluster infrastructure provides the basic functions for a group of computers (called nodes or members) to work together as a cluster. Once a cluster is formed using the cluster infrastructure, you can use other Red Hat Cluster Suite components to suit your clustering needs (for example, setting up a cluster for sharing files on a GFS file system or setting up service failover). The cluster infrastructure performs the following functions:

Cluster management
Lock management
Fencing
Cluster configuration management

1.3.1. Cluster Management

Cluster management manages cluster quorum and cluster membership. One of the following Red Hat Cluster Suite components performs cluster management: CMAN (an abbreviation for cluster manager) or GULM (Grand Unified Lock Manager). CMAN operates as the cluster manager if a cluster is configured to use DLM (Distributed Lock Manager) as the lock manager. GULM operates as the cluster manager if a cluster is configured to use GULM as the lock manager. The major difference between the two cluster managers is that CMAN is a distributed cluster manager and GULM is a client-server cluster manager. CMAN runs in each cluster node; cluster management is distributed across all nodes in the cluster (refer to Figure 1.2, “CMAN/DLM Overview”). GULM runs in nodes designated as GULM server nodes; cluster management is centralized in the nodes designated as GULM server nodes (refer to Figure 1.3, “GULM Overview”). GULM server nodes manage the cluster through GULM clients in the cluster nodes. With GULM, cluster management operates in a limited number of nodes: either one, three, or five nodes configured as GULM servers.

The cluster manager keeps track of cluster quorum by monitoring the count of cluster nodes that run cluster manager. (In a CMAN cluster, all cluster nodes run cluster manager; in a GULM cluster only the GULM servers run cluster manager.) If more than half the nodes that run cluster manager are active, the cluster has quorum. If half the nodes that run cluster manager (or fewer) are active, the cluster does not have quorum, and all cluster activity is stopped. Cluster quorum prevents the occurrence of a "split-brain" condition — a condition where two instances of the same cluster are running. A split-brain condition would allow each cluster instance to access cluster resources without knowledge of the other cluster instance, resulting in corrupted cluster integrity.

In a CMAN cluster, quorum is determined by communication of heartbeats among cluster nodes via Ethernet. Optionally, quorum can be determined by a combination of communicating heartbeats via Ethernet and through a quorum disk. For quorum via Ethernet, quorum consists of 50 percent of the node votes plus 1. For quorum via quorum disk, quorum consists of user-specified conditions.

Note

In a CMAN cluster, by default each node has one quorum vote for establishing quorum. Optionally, you can configure each node to have more than one vote.

In a GULM cluster, the quorum consists of a majority of nodes designated as GULM servers according to the number of GULM servers configured:

Configured with one GULM server — Quorum equals one GULM server.
Configured with three GULM servers — Quorum equals two GULM servers.
Configured with five GULM servers — Quorum equals three GULM servers.

The cluster manager keeps track of membership by monitoring heartbeat messages from other cluster nodes. When cluster membership changes, the cluster manager notifies the other infrastructure components, which then take appropriate action. For example, if node A joins a cluster and mounts a GFS file system that nodes B and C have already mounted, then an additional journal and lock management is required for node A to use that GFS file system. If a cluster node does not transmit a heartbeat message within a prescribed amount of time, the cluster manager removes the node from the cluster and communicates to other cluster infrastructure components that the node is not a member. Again, other cluster infrastructure components determine what actions to take upon notification that node is no longer a cluster member. For example, Fencing would fence the node that is no longer a member.

CMAN/DLM Overview

Figure 1.2. CMAN/DLM Overview

GULM Overview

Figure 1.3. GULM Overview

1.3.2. Lock Management

Lock management is a common cluster-infrastructure service that provides a mechanism for other cluster infrastructure components to synchronize their access to shared resources. In a Red Hat cluster, one of the following Red Hat Cluster Suite components operates as the lock manager: DLM (Distributed Lock Manager) or GULM (Grand Unified Lock Manager). The major difference between the two lock managers is that DLM is a distributed lock manager and GULM is a client-server lock manager. DLM runs in each cluster node; lock management is distributed across all nodes in the cluster (refer to Figure 1.2, “CMAN/DLM Overview”). DLM can be the lock manager only in a cluster configured with CMAN as its cluster manager. GULM runs in nodes designated as GULM server nodes; lock management is centralized in the nodes designated as GULM server nodes. GULM server nodes manage locks through GULM clients in the cluster nodes (refer to Figure 1.3, “GULM Overview”). With GULM, lock management operates in a limited number of nodes: either one, three, or five nodes configured as GULM servers. GFS and CLVM use locks from the lock manager. GFS uses locks from the lock manager to synchronize access to file system metadata (on shared storage). CLVM uses locks from the lock manager to synchronize updates to LVM volumes and volume groups (also on shared storage).

1.3.3. Fencing

Fencing is the disconnection of a node from the cluster's shared storage. Fencing cuts off I/O from shared storage, thus ensuring data integrity.

The cluster infrastructure performs fencing through one of the following programs according to the type of cluster manager and lock manager that is configured:

Configured with CMAN/DLM — fenced, the fence daemon, performs fencing.
Configured with GULM servers — GULM performs fencing.

When the cluster manager determines that a node has failed, it communicates to other cluster-infrastructure components that the node has failed. The fencing program (either fenced or GULM), when notified of the failure, fences the failed node. Other cluster-infrastructure components determine what actions to take — that is, they perform any recovery that needs to done. For example, DLM and GFS (in a cluster configured with CMAN/DLM), when notified of a node failure, suspend activity until they detect that the fencing program has completed fencing the failed node. Upon confirmation that the failed node is fenced, DLM and GFS perform recovery. DLM releases locks of the failed node; GFS recovers the journal of the failed node.

The fencing program determines from the cluster configuration file which fencing method to use. Two key elements in the cluster configuration file define a fencing method: fencing agent and fencing device. The fencing program makes a call to a fencing agent specified in the cluster configuration file. The fencing agent, in turn, fences the node via a fencing device. When fencing is complete, the fencing program notifies the cluster manager.

Red Hat Cluster Suite provides a variety of fencing methods:

Power fencing — A fencing method that uses a power controller to power off an inoperable node
Fibre Channel switch fencing — A fencing method that disables the Fibre Channel port that connects storage to an inoperable node
GNBD fencing — A fencing method that disables an inoperable node's access to a GNBD server
Other fencing — Several other fencing methods that disable I/O or power of an inoperable node, including IBM Bladecenters, PAP, DRAC/MC, HP ILO, IPMI, IBM RSA II, and others

Figure 1.4, “Power Fencing Example” shows an example of power fencing. In the example, the fencing program in node A causes the power controller to power off node D. Figure 1.5, “Fibre Channel Switch Fencing Example” shows an example of Fibre Channel switch fencing. In the example, the fencing program in node A causes the Fibre Channel switch to disable the port for node D, disconnecting node D from storage.

Power Fencing Example

Figure 1.4. Power Fencing Example

Fibre Channel Switch Fencing Example

Figure 1.5. Fibre Channel Switch Fencing Example

Specifying a fencing method consists of editing a cluster configuration file to assign a fencing-method name, the fencing agent, and the fencing device for each node in the cluster.

Note

Other fencing parameters may be necessary depending on the type of cluster manager (either CMAN or GULM) selected in a cluster.

The way in which a fencing method is specified depends on if a node has either dual power supplies or multiple paths to storage. If a node has dual power supplies, then the fencing method for the node must specify at least two fencing devices — one fencing device for each power supply (refer to Figure 1.6, “Fencing a Node with Dual Power Supplies”). Similarly, if a node has multiple paths to Fibre Channel storage, then the fencing method for the node must specify one fencing device for each path to Fibre Channel storage. For example, if a node has two paths to Fibre Channel storage, the fencing method should specify two fencing devices — one for each path to Fibre Channel storage (refer to Figure 1.7, “Fencing a Node with Dual Fibre Channel Connections”).

Fencing a Node with Dual Power Supplies

Figure 1.6. Fencing a Node with Dual Power Supplies

Fencing a Node with Dual Fibre Channel Connections

Figure 1.7. Fencing a Node with Dual Fibre Channel Connections

You can configure a node with one fencing method or multiple fencing methods. When you configure a node for one fencing method, that is the only fencing method available for fencing that node. When you configure a node for multiple fencing methods, the fencing methods are cascaded from one fencing method to another according to the order of the fencing methods specified in the cluster configuration file. If a node fails, it is fenced using the first fencing method specified in the cluster configuration file for that node. If the first fencing method is not successful, the next fencing method specified for that node is used. If none of the fencing methods is successful, then fencing starts again with the first fencing method specified, and continues looping through the fencing methods in the order specified in the cluster configuration file until the node has been fenced.

1.3.4. Cluster Configuration System

The Cluster Configuration System (CCS) manages the cluster configuration and provides configuration information to other cluster components in a Red Hat cluster. CCS runs in each cluster node and makes sure that the cluster configuration file in each cluster node is up to date. For example, if a cluster system administrator updates the configuration file in Node A, CCS propagates the update from Node A to the other nodes in the cluster (refer to Figure 1.8, “CCS Overview”).

CCS Overview

Figure 1.8. CCS Overview

Other cluster components (for example, CMAN) access configuration information from the configuration file through CCS (refer to Figure 1.8, “CCS Overview”).

Accessing Configuration Information

Figure 1.9. Accessing Configuration Information

The cluster configuration file (/etc/cluster/cluster.conf) is an XML file that describes the following cluster characteristics:

Cluster name — Displays the cluster name, cluster configuration file revision level, locking type (either DLM or GULM), and basic fence timing properties used when a node joins a cluster or is fenced from the cluster.
Cluster — Displays each node of the cluster, specifying node name, node ID, number of quorum votes, and fencing method for that node.
Fence Device — Displays fence devices in the cluster. Parameters vary according to the type of fence device. For example for a power controller used as a fence device, the cluster configuration defines the name of the power controller, its IP address, login, and password.
Managed Resources — Displays resources required to create cluster services. Managed resources includes the definition of failover domains, resources (for example an IP address), and services. Together the managed resources define cluster services and failover behavior of the cluster services.

1.4. High-availability Service Management

High-availability service management provides the ability to create and manage high-availability cluster services in a Red Hat cluster. The key component for high-availability service management in a Red Hat cluster, rgmanager, implements cold failover for off-the-shelf applications. In a Red Hat cluster, an application is configured with other cluster resources to form a high-availability cluster service. A high-availability cluster service can fail over from one cluster node to another with no apparent interruption to cluster clients. Cluster-service failover can occur if a cluster node fails or if a cluster system administrator moves the service from one cluster node to another (for example, for a planned outage of a cluster node).

To create a high-availability service, you must configure it in the cluster configuration file. A cluster service comprises cluster resources. Cluster resources are building blocks that you create and manage in the cluster configuration file — for example, an IP address, an application initialization script, or a Red Hat GFS shared partition.

You can associate a cluster service with a failover domain. A failover domain is a subset of cluster nodes that are eligible to run a particular cluster service (refer to Figure 1.10, “Failover Domains”).

Note

Failover domains are not required for operation.

A cluster service can run on only one cluster node at a time to maintain data integrity. You can specify failover priority in a failover domain. Specifying failover priority consists of assigning a priority level to each node in a failover domain. The priority level determines the failover order — determining which node that a cluster service should fail over to. If you do not specify failover priority, a cluster service can fail over to any node in its failover domain. Also, you can specify if a cluster service is restricted to run only on nodes of its associated failover domain. (When associated with an unrestricted failover domain, a cluster service can start on any cluster node in the event no member of the failover domain is available.)

In Figure 1.10, “Failover Domains”, Failover Domain 1 is configured to restrict failover within that domain; therefore, Cluster Service X can only fail over between Node A and Node B. Failover Domain 2 is also configured to restrict failover with its domain; additionally, it is configured for failover priority. Failover Domain 2 priority is configured with Node C as priority 1, Node B as priority 2, and Node D as priority 3. If Node C fails, Cluster Service Y fails over to Node B next. If it cannot fail over to Node B, it tries failing over to Node D. Failover Domain 3 is configured with no priority and no restrictions. If the node that Cluster Service Z is running on fails, Cluster Service Z tries failing over to one of the nodes in Failover Domain 3. However, if none of those nodes is available, Cluster Service Z can fail over to any node in the cluster.

Failover domains

Figure 1.10. Failover Domains

Figure 1.11, “Web Server Cluster Service Example” shows an example of a high-availability cluster service that is a web server named "content-webserver". It is running in cluster node B and is in a failover domain that consists of nodes A, B, and D. In addition, the failover domain is configured with a failover priority to fail over to node D before node A and to restrict failover to nodes only in that failover domain. The cluster service comprises these cluster resources:

IP address resource — IP address 10.10.10.201.
An application resource named "httpd-content" — a web server application init script /etc/init.d/httpd (specifying httpd).
A file system resource — Red Hat GFS named "gfs-content-webserver".

Web Server Cluster Service Example

Figure 1.11. Web Server Cluster Service Example

Clients access the cluster service through the IP address 10.10.10.201, enabling interaction with the web server application, httpd-content. The httpd-content application uses the gfs-content-webserver file system. If node B were to fail, the content-webserver cluster service would fail over to node D. If node D were not available or also failed, the service would fail over to node A. Failover would occur with no apparent interruption to the cluster clients. The cluster service would be accessible from another cluster node via the same IP address as it was before failover.

1.5. Red Hat GFS

Red Hat GFS is a cluster file system that allows a cluster of nodes to simultaneously access a block device that is shared among the nodes. GFS is a native file system that interfaces directly with the VFS layer of the Linux kernel file-system interface. GFS employs distributed metadata and multiple journals for optimal operation in a cluster. To maintain file system integrity, GFS uses a lock manager to coordinate I/O. When one node changes data on a GFS file system, that change is immediately visible to the other cluster nodes using that file system.

Using Red Hat GFS, you can achieve maximum application uptime through the following benefits:

Simplifying your data infrastructure
- Install and patch applications once for the entire cluster.
- Eliminates the need for redundant copies of application data (duplication).
- Enables concurrent read/write access to data by many clients.
- Simplifies backup and disaster recovery (only one file system to back up or recover).
Maximize the use of storage resources; minimize storage administration costs.
- Manage storage as a whole instead of by partition.
- Decrease overall storage needs by eliminating the need for data replications.
Scale the cluster seamlessly by adding servers or storage on the fly.
- No more partitioning storage through complicated techniques.
- Add servers to the cluster on the fly by mounting them to the common file system.

Nodes that run Red Hat GFS are configured and managed with Red Hat Cluster Suite configuration and management tools. Volume management is managed through CLVM (Cluster Logical Volume Manager). Red Hat GFS provides data sharing among GFS nodes in a Red Hat cluster. GFS provides a single, consistent view of the file-system name space across the GFS nodes in a Red Hat cluster. GFS allows applications to install and run without much knowledge of the underlying storage infrastructure. Also, GFS provides features that are typically required in enterprise environments, such as quotas, multiple journals, and multipath support.

GFS provides a versatile method of networking storage according to the performance, scalability, and economic needs of your storage environment. This chapter provides some very basic, abbreviated information as background to help you understand GFS.

You can deploy GFS in a variety of configurations to suit your needs for performance, scalability, and economy. For superior performance and scalability, you can deploy GFS in a cluster that is connected directly to a SAN. For more economical needs, you can deploy GFS in a cluster that is connected to a LAN with servers that use GNBD (Global Network Block Device) or to iSCSI (Internet Small Computer System Interface) devices. (For more information about GNBD, refer to Section 1.7, “Global Network Block Device”.)

The following sections provide examples of how GFS can be deployed to suit your needs for performance, scalability, and economy:

Section 1.5.1, “Superior Performance and Scalability”
Section 1.5.2, “Performance, Scalability, Moderate Price”
Section 1.5.3, “Economy and Performance”

Note

The GFS deployment examples reflect basic configurations; your needs might require a combination of configurations shown in the examples.

1.5.1. Superior Performance and Scalability

You can obtain the highest shared-file performance when applications access storage directly. The GFS SAN configuration in Figure 1.12, “GFS with a SAN” provides superior file performance for shared files and file systems. Linux applications run directly on cluster nodes using GFS. Without file protocols or storage servers to slow data access, performance is similar to individual Linux servers with directly connected storage; yet, each GFS application node has equal access to all data files. GFS supports over 300 GFS nodes.

GFS with a SAN

Figure 1.12. GFS with a SAN

1.5.2. Performance, Scalability, Moderate Price

Multiple Linux client applications on a LAN can share the same SAN-based data as shown in Figure 1.13, “GFS and GNBD with a SAN”. SAN block storage is presented to network clients as block storage devices by GNBD servers. From the perspective of a client application, storage is accessed as if it were directly attached to the server in which the application is running. Stored data is actually on the SAN. Storage devices and data can be equally shared by network client applications. File locking and sharing functions are handled by GFS for each network client.

GFS and GNBD with a SAN

Figure 1.13. GFS and GNBD with a SAN

1.5.3. Economy and Performance

Figure 1.14, “GFS and GNBD with Directly Connected Storage” shows how Linux client applications can take advantage of an existing Ethernet topology to gain shared access to all block storage devices. Client data files and file systems can be shared with GFS on each client. Application failover can be fully automated with Red Hat Cluster Suite.

GFS and GNBD with Direct-Attached Storage

Figure 1.14. GFS and GNBD with Directly Connected Storage

1.6. Cluster Logical Volume Manager

The Cluster Logical Volume Manager (CLVM) provides a cluster-wide version of LVM2. CLVM provides the same capabilities as LVM2 on a single node, but makes the volumes available to all nodes in a Red Hat cluster. The logical volumes created with CLVM make logical volumes available to all nodes in a cluster.

The key component in CLVM is clvmd. clvmd is a daemon that provides clustering extensions to the standard LVM2 tool set and allows LVM2 commands to manage shared storage. clvmd runs in each cluster node and distributes LVM metadata updates in a cluster, thereby presenting each cluster node with the same view of the logical volumes (refer to Figure 1.15, “CLVM Overview”). Logical volumes created with CLVM on shared storage are visible to all nodes that have access to the shared storage. CLVM allows a user to configure logical volumes on shared storage by locking access to physical storage while a logical volume is being configured. CLVM uses the lock-management service provided by the cluster infrastructure (refer to Section 1.3, “Cluster Infrastructure”).

Note

Shared storage for use in Red Hat Cluster Suite requires that you be running the cluster logical volume manager daemon (clvmd) or the High Availability Logical Volume Management agents (HA-LVM). If you are not able to use either the clvmd daemon or HA-LVM for operational reasons or because you do not have the correct entitlements, you must not use single-instance LVM on the shared disk as this may result in data corruption. If you have any concerns please contact your Red Hat service representative.

Note

Using CLVM requires minor changes to /etc/lvm/lvm.conf for cluster-wide locking.

CLVM Overview

Figure 1.15. CLVM Overview

You can configure CLVM using the same commands as LVM2, using the LVM graphical user interface (refer to Figure 1.16, “LVM Graphical User Interface”), or using the storage configuration function of the Conga cluster configuration graphical user interface (refer to Figure 1.17, “Conga LVM Graphical User Interface”) . Figure 1.18, “Creating Logical Volumes” shows the basic concept of creating logical volumes from Linux partitions and shows the commands used to create logical volumes.

LVM Graphical User Interface

Figure 1.16. LVM Graphical User Interface

Conga LVM Graphical User Interface

Figure 1.17. Conga LVM Graphical User Interface

Creating Logical Volumes

Figure 1.18. Creating Logical Volumes

1.7. Global Network Block Device

Global Network Block Device (GNBD) provides block-device access to Red Hat GFS over TCP/IP. GNBD is similar in concept to NBD; however, GNBD is GFS-specific and tuned solely for use with GFS. GNBD is useful when the need for more robust technologies — Fibre Channel or single-initiator SCSI — are not necessary or are cost-prohibitive.

GNBD consists of two major components: a GNBD client and a GNBD server. A GNBD client runs in a node with GFS and imports a block device exported by a GNBD server. A GNBD server runs in another node and exports block-level storage from its local storage (either directly attached storage or SAN storage). Refer to Figure 1.19, “GNBD Overview”. Multiple GNBD clients can access a device exported by a GNBD server, thus making a GNBD suitable for use by a group of nodes running GFS.

CLVM Overview

Figure 1.19. GNBD Overview

1.8. Linux Virtual Server

Linux Virtual Server (LVS) is a set of integrated software components for balancing the IP load across a set of real servers. LVS runs on a pair of equally configured computers: one that is an active LVS router and one that is a backup LVS router. The active LVS router serves two roles:

To balance the load across the real servers.
To check the integrity of the services on each real server.

The backup LVS router monitors the active LVS router and takes over from it in case the active LVS router fails.

Figure 1.20, “Components of a Running LVS Cluster” provides an overview of the LVS components and their interrelationship.

Components of a Running LVS Cluster

Figure 1.20. Components of a Running LVS Cluster

The pulse daemon runs on both the active and passive LVS routers. On the backup LVS router, pulse sends a heartbeat to the public interface of the active router to make sure the active LVS router is properly functioning. On the active LVS router, pulse starts the lvs daemon and responds to heartbeat queries from the backup LVS router.

Once started, the lvs daemon calls the ipvsadm utility to configure and maintain the IPVS (IP Virtual Server) routing table in the kernel and starts a nanny process for each configured virtual server on each real server. Each nanny process checks the state of one configured service on one real server, and tells the lvs daemon if the service on that real server is malfunctioning. If a malfunction is detected, the lvs daemon instructs ipvsadm to remove that real server from the IPVS routing table.

If the backup LVS router does not receive a response from the active LVS router, it initiates failover by calling send_arp to reassign all virtual IP addresses to the NIC hardware addresses (MAC address) of the backup LVS router, sends a command to the active LVS router via both the public and private network interfaces to shut down the lvs daemon on the active LVS router, and starts the lvs daemon on the backup LVS router to accept requests for the configured virtual servers.

To an outside user accessing a hosted service (such as a website or database application), LVS appears as one server. However, the user is actually accessing real servers behind the LVS routers.

Because there is no built-in component in LVS to share the data among real servers, you have have two basic options:

Synchronize the data across the real servers.
Add a third layer to the topology for shared data access.

The first option is preferred for servers that do not allow large numbers of users to upload or change data on the real servers. If the real servers allow large numbers of users to modify data, such as an e-commerce website, adding a third layer is preferable.

There are many ways to synchronize data among real servers. For example, you can use shell scripts to post updated web pages to the real servers simultaneously. Also, you can use programs such as rsync to replicate changed data across all nodes at a set interval. However, in environments where users frequently upload files or issue database transactions, using scripts or the rsync command for data synchronization does not function optimally. Therefore, for real servers with a high amount of uploads, database transactions, or similar traffic, a three-tiered topology is more appropriate for data synchronization.

1.8.1. Two-Tier LVS Topology

Figure 1.21, “Two-Tier LVS Topology” shows a simple LVS configuration consisting of two tiers: LVS routers and real servers. The LVS-router tier consists of one active LVS router and one backup LVS router. The real-server tier consists of real servers connected to the private network. Each LVS router has two network interfaces: one connected to a public network (Internet) and one connected to a private network. A network interface connected to each network allows the LVS routers to regulate traffic between clients on the public network and the real servers on the private network. In Figure 1.21, “Two-Tier LVS Topology”, the active LVS router uses Network Address Translation (NAT) to direct traffic from the public network to real servers on the private network, which in turn provide services as requested. The real servers pass all public traffic through the active LVS router. From the perspective of clients on the public network, the LVS router appears as one entity.

Two-Tier LVS Topology

Figure 1.21. Two-Tier LVS Topology

Service requests arriving at an LVS router are addressed to a virtual IP address or VIP. This is a publicly-routable address that the administrator of the site associates with a fully-qualified domain name, such as www.example.com, and which is assigned to one or more virtual servers^[1]. Note that a VIP address migrates from one LVS router to the other during a failover, thus maintaining a presence at that IP address, also known as floating IP addresses.

VIP addresses may be aliased to the same device that connects the LVS router to the public network. For instance, if eth0 is connected to the Internet, then multiple virtual servers can be aliased to eth0:1. Alternatively, each virtual server can be associated with a separate device per service. For example, HTTP traffic can be handled on eth0:1, and FTP traffic can be handled on eth0:2.

Only one LVS router is active at a time. The role of the active LVS router is to redirect service requests from virtual IP addresses to the real servers. The redirection is based on one of eight load-balancing algorithms:

Round-Robin Scheduling — Distributes each request sequentially around a pool of real servers. Using this algorithm, all the real servers are treated as equals without regard to capacity or load.
Weighted Round-Robin Scheduling — Distributes each request sequentially around a pool of real servers but gives more jobs to servers with greater capacity. Capacity is indicated by a user-assigned weight factor, which is then adjusted up or down by dynamic load information. This is a preferred choice if there are significant differences in the capacity of real servers in a server pool. However, if the request load varies dramatically, a more heavily weighted server may answer more than its share of requests.
Least-Connection — Distributes more requests to real servers with fewer active connections. This is a type of dynamic scheduling algorithm, making it a better choice if there is a high degree of variation in the request load. It is best suited for a real server pool where each server node has roughly the same capacity. If the real servers have varying capabilities, weighted least-connection scheduling is a better choice.
Weighted Least-Connections (default) — Distributes more requests to servers with fewer active connections relative to their capacities. Capacity is indicated by a user-assigned weight, which is then adjusted up or down by dynamic load information. The addition of weighting makes this algorithm ideal when the real server pool contains hardware of varying capacity.
Locality-Based Least-Connection Scheduling — Distributes more requests to servers with fewer active connections relative to their destination IPs. This algorithm is for use in a proxy-cache server cluster. It routes the packets for an IP address to the server for that address unless that server is above its capacity and has a server in its half load, in which case it assigns the IP address to the least loaded real server.
Locality-Based Least-Connection Scheduling with Replication Scheduling — Distributes more requests to servers with fewer active connections relative to their destination IPs. This algorithm is also for use in a proxy-cache server cluster. It differs from Locality-Based Least-Connection Scheduling by mapping the target IP address to a subset of real server nodes. Requests are then routed to the server in this subset with the lowest number of connections. If all the nodes for the destination IP are above capacity, it replicates a new server for that destination IP address by adding the real server with the least connections from the overall pool of real servers to the subset of real servers for that destination IP. The most-loaded node is then dropped from the real server subset to prevent over-replication.
Source Hash Scheduling — Distributes requests to the pool of real servers by looking up the source IP in a static hash table. This algorithm is for LVS routers with multiple firewalls.

Also, the active LVS router dynamically monitors the overall health of the specific services on the real servers through simple send/expect scripts. To aid in detecting the health of services that require dynamic data, such as HTTPS or SSL, you can also call external executables. If a service on a real server malfunctions, the active LVS router stops sending jobs to that server until it returns to normal operation.

The backup LVS router performs the role of a standby system. Periodically, the LVS routers exchange heartbeat messages through the primary external public interface and, in a failover situation, the private interface. Should the backup LVS router fail to receive a heartbeat message within an expected interval, it initiates a failover and assumes the role of the active LVS router. During failover, the backup LVS router takes over the VIP addresses serviced by the failed router using a technique known as ARP spoofing — where the backup LVS router announces itself as the destination for IP packets addressed to the failed node. When the failed node returns to active service, the backup LVS router assumes its backup role again.

The simple, two-tier configuration in Figure 1.21, “Two-Tier LVS Topology” is suited best for clusters serving data that does not change very frequently — such as static web pages — because the individual real servers do not automatically synchronize data among themselves.

1.8.2. Three-Tier LVS Topology

Figure 1.22, “Three-Tier LVS Topology” shows a typical three-tier LVS configuration. In the example, the active LVS router routes the requests from the public network (Internet) to the second tier — real servers. Each real server then accesses a shared data source of a Red Hat cluster in the third tier over the private network.

Three-Tier LVS Topology

Figure 1.22. Three-Tier LVS Topology

This topology is suited well for busy FTP servers, where accessible data is stored on a central, highly available server and accessed by each real server via an exported NFS directory or Samba share. This topology is also recommended for websites that access a central, high-availability database for transactions. Additionally, using an active-active configuration with a Red Hat cluster, you can configure one high-availability cluster to serve both of these roles simultaneously.

1.8.3. Routing Methods

You can use Network Address Translation (NAT) routing or direct routing with LVS. The following sections briefly describe NAT routing and direct routing with LVS.

1.8.3.1. NAT Routing

Figure 1.23, “LVS Implemented with NAT Routing”, illustrates LVS using NAT routing to move requests between the Internet and a private network.

LVS Implemented with NAT Routing

Figure 1.23. LVS Implemented with NAT Routing

In the example, there are two NICs in the active LVS router. The NIC for the Internet has a real IP address on eth0 and has a floating IP address aliased to eth0:1. The NIC for the private network interface has a real IP address on eth1 and has a floating IP address aliased to eth1:1. In the event of failover, the virtual interface facing the Internet and the private facing virtual interface are taken over by the backup LVS router simultaneously. All the real servers on the private network use the floating IP for the NAT router as their default route to communicate with the active LVS router so that their abilities to respond to requests from the Internet is not impaired.

In the example, the LVS router's public LVS floating IP address and private NAT floating IP address are aliased to two physical NICs. While it is possible to associate each floating IP address to its physical device on the LVS router nodes, having more than two NICs is not a requirement.

Using this topology, the active LVS router receives the request and routes it to the appropriate server. The real server then processes the request and returns the packets to the LVS router. The LVS router uses network address translation to replace the address of the real server in the packets with the LVS routers public VIP address. This process is called IP masquerading because the actual IP addresses of the real servers is hidden from the requesting clients.

Using NAT routing, the real servers can be any kind of computers running a variety operating systems. The main disadvantage of NAT routing is that the LVS router may become a bottleneck in large deployments because it must process outgoing and incoming requests.

1.8.3.2. Direct Routing

Direct routing provides increased performance benefits compared to NAT routing. Direct routing allows the real servers to process and route packets directly to a requesting user rather than passing outgoing packets through the LVS router. Direct routing reduces the possibility of network performance issues by relegating the job of the LVS router to processing incoming packets only.

LVS Implemented with Direct Routing

Figure 1.24. LVS Implemented with Direct Routing

In a typical direct-routing LVS configuration, an LVS router receives incoming server requests through a virtual IP (VIP) and uses a scheduling algorithm to route the request to real servers. Each real server processes requests and sends responses directly to clients, bypassing the LVS routers. Direct routing allows for scalability in that real servers can be added without the added burden on the LVS router to route outgoing packets from the real server to the client, which can become a bottleneck under heavy network load.

While there are many advantages to using direct routing in LVS, there are limitations. The most common issue with direct routing and LVS is with Address Resolution Protocol (ARP).

In typical situations, a client on the Internet sends a request to an IP address. Network routers typically send requests to their destination by relating IP addresses to a machine's MAC address with ARP. ARP requests are broadcast to all connected machines on a network, and the machine with the correct IP/MAC address combination receives the packet. The IP/MAC associations are stored in an ARP cache, which is cleared periodically (usually every 15 minutes) and refilled with IP/MAC associations.

The issue with ARP requests in a direct-routing LVS configuration is that because a client request to an IP address must be associated with a MAC address for the request to be handled, the virtual IP address of the LVS router must also be associated to a MAC. However, because both the LVS router and the real servers have the same VIP, the ARP request is broadcast to all the nodes associated with the VIP. This can cause several problems, such as the VIP being associated directly to one of the real servers and processing requests directly, bypassing the LVS router completely and defeating the purpose of the LVS configuration. Using an LVS router with a powerful CPU that can respond quickly to client requests does not necessarily remedy this issue. If the LVS router is under heavy load, it may respond to the ARP request more slowly than an underutilized real server, which responds more quickly and is assigned the VIP in the ARP cache of the requesting client.

To solve this issue, the incoming requests should only associate the VIP to the LVS router, which will properly process the requests and send them to the real server pool. This can be done by using the arptables packet-filtering tool.

1.8.4. Persistence and Firewall Marks

In certain situations, it may be desirable for a client to reconnect repeatedly to the same real server, rather than have an LVS load-balancing algorithm send that request to the best available server. Examples of such situations include multi-screen web forms, cookies, SSL, and FTP connections. In those cases, a client may not work properly unless the transactions are being handled by the same server to retain context. LVS provides two different features to handle this: persistence and firewall marks.

1.8.4.1. Persistence

When enabled, persistence acts like a timer. When a client connects to a service, LVS remembers the last connection for a specified period of time. If that same client IP address connects again within that period, it is sent to the same server it connected to previously — bypassing the load-balancing mechanisms. When a connection occurs outside the time window, it is handled according to the scheduling rules in place.

Persistence also allows you to specify a subnet mask to apply to the client IP address test as a tool for controlling what addresses have a higher level of persistence, thereby grouping connections to that subnet.

Grouping connections destined for different ports can be important for protocols that use more than one port to communicate, such as FTP. However, persistence is not the most efficient way to deal with the problem of grouping together connections destined for different ports. For these situations, it is best to use firewall marks.

1.8.4.2. Firewall Marks

Firewall marks are an easy and efficient way to a group ports used for a protocol or group of related protocols. For example, if LVS is deployed to run an e-commerce site, firewall marks can be used to bundle HTTP connections on port 80 and secure, HTTPS connections on port 443. By assigning the same firewall mark to the virtual server for each protocol, state information for the transaction can be preserved because the LVS router forwards all requests to the same real server after a connection is opened.

Because of its efficiency and ease-of-use, administrators of LVS should use firewall marks instead of persistence whenever possible for grouping connections. However, you should still add persistence to the virtual servers in conjunction with firewall marks to ensure the clients are reconnected to the same server for an adequate period of time.

1.9. Cluster Administration Tools

Red Hat Cluster Suite provides a variety of tools to configure and manage your Red Hat Cluster. This section provides an overview of the administration tools available with Red Hat Cluster Suite:

Section 1.9.1, “Conga”
Section 1.9.2, “Cluster Administration GUI”
Section 1.9.3, “Command Line Administration Tools”

1.9.1. Conga

Conga is an integrated set of software components that provides centralized configuration and management of Red Hat clusters and storage. Conga provides the following major features:

One Web interface for managing cluster and storage
Automated Deployment of Cluster Data and Supporting Packages
Easy Integration with Existing Clusters
No Need to Re-Authenticate
Integration of Cluster Status and Logs
Fine-Grained Control over User Permissions

The primary components in Conga are luci and ricci, which are separately installable. luci is a server that runs on one computer and communicates with multiple clusters and computers via ricci. ricci is an agent that runs on each computer (either a cluster member or a standalone computer) managed by Conga.

luci is accessible through a Web browser and provides three major functions that are accessible through the following tabs:

homebase — Provides tools for adding and deleting computers, adding and deleting users, and configuring user privileges. Only a system administrator is allowed to access this tab.
cluster — Provides tools for creating and configuring clusters. Each instance of luci lists clusters that have been set up with that luci. A system administrator can administer all clusters listed on this tab. Other users can administer only clusters that the user has permission to manage (granted by an administrator).
storage — Provides tools for remote administration of storage. With the tools on this tab, you can manage storage on computers whether they belong to a cluster or not.

To administer a cluster or storage, an administrator adds (or registers) a cluster or a computer to a luci server. When a cluster or a computer is registered with luci, the FQDN hostname or IP address of each computer is stored in a luci database.

You can populate the database of one luci instance from another luciinstance. That capability provides a means of replicating a luci server instance and provides an efficient upgrade and testing path. When you install an instance of luci, its database is empty. However, you can import part or all of a luci database from an existing luci server when deploying a new luci server.

Each luci instance has one user at initial installation — admin. Only the admin user may add systems to a luci server. Also, the admin user can create additional user accounts and determine which users are allowed to access clusters and computers registered in the luci database. It is possible to import users as a batch operation in a new luci server, just as it is possible to import clusters and computers.

When a computer is added to a luci server to be administered, authentication is done once. No authentication is necessary from then on (unless the certificate used is revoked by a CA). After that, you can remotely configure and manage clusters and storage through the luci user interface. luci and ricci communicate with each other via XML.

The following figures show sample displays of the three major luci tabs: homebase, cluster, and storage.

For more information about Conga, refer to Configuring and Managing a Red Hat Cluster and the online help available with the luci server.

cluster status tool

Figure 1.25. luci homebase Tab

cluster status tool

Figure 1.26. luci cluster Tab

cluster status tool

Figure 1.27. luci storage Tab

1.9.2. Cluster Administration GUI

This section provides an overview of the system-config-cluster cluster administration graphical user interface (GUI) available with Red Hat Cluster Suite. The GUI is for use with the cluster infrastructure and the high-availability service management components (refer to Section 1.3, “Cluster Infrastructure” and Section 1.4, “High-availability Service Management”). The GUI consists of two major functions: the Cluster Configuration Tool and the Cluster Status Tool. The Cluster Configuration Tool provides the capability to create, edit, and propagate the cluster configuration file (/etc/cluster/cluster.conf). The Cluster Status Tool provides the capability to manage high-availability services. The following sections summarize those functions.

Section 1.9.2.1, “Cluster Configuration Tool”
Section 1.9.2.2, “Cluster Status Tool”

1.9.2.1. Cluster Configuration Tool

You can access the Cluster Configuration Tool (Figure 1.28, “Cluster Configuration Tool”) through the Cluster Configuration tab in the Cluster Administration GUI.

cluster tool

Figure 1.28. Cluster Configuration Tool

The Cluster Configuration Tool represents cluster configuration components in the configuration file (/etc/cluster/cluster.conf) with a hierarchical graphical display in the left panel. A triangle icon to the left of a component name indicates that the component has one or more subordinate components assigned to it. Clicking the triangle icon expands and collapses the portion of the tree below a component. The components displayed in the GUI are summarized as follows:

Cluster Nodes — Displays cluster nodes. Nodes are represented by name as subordinate elements under Cluster Nodes. Using configuration buttons at the bottom of the right frame (below Properties), you can add nodes, delete nodes, edit node properties, and configure fencing methods for each node.
Fence Devices — Displays fence devices. Fence devices are represented as subordinate elements under Fence Devices. Using configuration buttons at the bottom of the right frame (below Properties), you can add fence devices, delete fence devices, and edit fence-device properties. Fence devices must be defined before you can configure fencing (with the Manage Fencing For This Node button) for each node.
Managed Resources — Displays failover domains, resources, and services.
- Failover Domains — For configuring one or more subsets of cluster nodes used to run a high-availability service in the event of a node failure. Failover domains are represented as subordinate elements under Failover Domains. Using configuration buttons at the bottom of the right frame (below Properties), you can create failover domains (when Failover Domains is selected) or edit failover domain properties (when a failover domain is selected).
- Resources — For configuring shared resources to be used by high-availability services. Shared resources consist of file systems, IP addresses, NFS mounts and exports, and user-created scripts that are available to any high-availability service in the cluster. Resources are represented as subordinate elements under Resources. Using configuration buttons at the bottom of the right frame (below Properties), you can create resources (when Resources is selected) or edit resource properties (when a resource is selected).
  Note
  The Cluster Configuration Tool provides the capability to configure private resources, also. A private resource is a resource that is configured for use with only one service. You can configure a private resource within a Service component in the GUI.
- Services — For creating and configuring high-availability services. A service is configured by assigning resources (shared or private), assigning a failover domain, and defining a recovery policy for the service. Services are represented as subordinate elements under Services. Using configuration buttons at the bottom of the right frame (below Properties), you can create services (when Services is selected) or edit service properties (when a service is selected).

1.9.2.2. Cluster Status Tool

You can access the Cluster Status Tool (Figure 1.29, “Cluster Status Tool”) through the Cluster Management tab in Cluster Administration GUI.

cluster status tool

Figure 1.29. Cluster Status Tool

The nodes and services displayed in the Cluster Status Tool are determined by the cluster configuration file (/etc/cluster/cluster.conf). You can use the Cluster Status Tool to enable, disable, restart, or relocate a high-availability service.

1.9.3. Command Line Administration Tools

In addition to Conga and the system-config-cluster Cluster Administration GUI, command line tools are available for administering the cluster infrastructure and the high-availability service management components. The command line tools are used by the Cluster Administration GUI and init scripts supplied by Red Hat. Table 1.1, “Command Line Tools” summarizes the command line tools.

Table 1.1. Command Line Tools

Command Line Tool	Used With	Purpose
`ccs_tool` — Cluster Configuration System Tool	Cluster Infrastructure	`ccs_tool` is a program for making online updates to the cluster configuration file. It provides the capability to create and modify cluster infrastructure components (for example, creating a cluster, adding and removing a node). For more information about this tool, refer to the ccs_tool(8) man page.
`cman_tool` — Cluster Management Tool	Cluster Infrastructure	`cman_tool` is a program that manages the CMAN cluster manager. It provides the capability to join a cluster, leave a cluster, kill a node, or change the expected quorum votes of a node in a cluster. `cman_tool` is available with DLM clusters only. For more information about this tool, refer to the cman_tool(8) man page.
`gulm_tool` — Cluster Management Tool	Cluster Infrastructure	`gulm_tool` is a program used to manage GULM. It provides an interface to `lock_gulmd`, the GULM lock manager. `gulm_tool` is available with GULM clusters only. For more information about this tool, refer to the gulm_tool(8) man page.
`fence_tool` — Fence Tool	Cluster Infrastructure	`fence_tool` is a program used to join or leave the default fence domain. Specifically, it starts the fence daemon (`fenced`) to join the domain and kills `fenced` to leave the domain. `fence_tool` is available with DLM clusters only. For more information about this tool, refer to the fence_tool(8) man page.
`clustat` — Cluster Status Utility	High-availability Service Management Components	The `clustat` command displays the status of the cluster. It shows membership information, quorum view, and the state of all configured user services. For more information about this tool, refer to the clustat(8) man page.
`clusvcadm` — Cluster User Service Administration Utility	High-availability Service Management Components	The `clusvcadm` command allows you to enable, disable, relocate, and restart high-availability services in a cluster. For more information about this tool, refer to the clusvcadm(8) man page.

1.10. Linux Virtual Server Administration GUI

This section provides an overview of the LVS configuration tool available with Red Hat Cluster Suite — the Piranha Configuration Tool. The Piranha Configuration Tool is a Web-browser graphical user interface (GUI) that provides a structured approach to creating the configuration file for LVS — /etc/sysconfig/ha/lvs.cf.

To access the Piranha Configuration Tool you need the piranha-gui service running on the active LVS router. You can access the Piranha Configuration Tool locally or remotely with a Web browser. You can access it locally with this URL: http://localhost:3636. You can access it remotely with either the hostname or the real IP address followed by :3636. If you are accessing the Piranha Configuration Tool remotely, you need an ssh connection to the active LVS router as the root user.

Starting the Piranha Configuration Tool causes the Piranha Configuration Tool welcome page to be displayed (refer to Figure 1.30, “The Welcome Panel”). Logging in to the welcome page provides access to the four main screens or panels: CONTROL/MONITORING, GLOBAL SETTINGS, REDUNDANCY, and VIRTUAL SERVERS. In addition, the VIRTUAL SERVERS panel contains four subsections. The CONTROL/MONITORING panel is the first panel displayed after you log in at the welcome screen.

The following sections provide a brief description of the Piranha Configuration Tool configuration pages.

1.10.1. CONTROL/MONITORING

The CONTROL/MONITORING Panel displays runtime status. It displays the status of the pulse daemon, the LVS routing table, and the LVS-spawned nanny processes.

The CONTROL/MONITORING Panel

Figure 1.31. The CONTROL/MONITORING Panel

Auto update: Enables the status display to be updated automatically at a user-configurable interval set in the Update frequency in seconds text box (the default value is 10 seconds).
It is not recommended that you set the automatic update to an interval less than 10 seconds. Doing so may make it difficult to reconfigure the Auto update interval because the page will update too frequently. If you encounter this issue, simply click on another panel and then back on CONTROL/MONITORING.
Update information now: Provides manual update of the status information.
CHANGE PASSWORD: Clicking this button takes you to a help screen with information on how to change the administrative password for the Piranha Configuration Tool.

1.10.2. GLOBAL SETTINGS

The GLOBAL SETTINGS panel is where the LVS administrator defines the networking details for the primary LVS router's public and private network interfaces.

The GLOBAL SETTINGS Panel

Figure 1.32. The GLOBAL SETTINGS Panel

The top half of this panel sets up the primary LVS router's public and private network interfaces.

Primary server public IP: The publicly routable real IP address for the primary LVS node.
Primary server private IP: The real IP address for an alternative network interface on the primary LVS node. This address is used solely as an alternative heartbeat channel for the backup router.
Use network type: Selects select NAT routing.

The next three fields are specifically for the NAT router's virtual network interface connected the private network with the real servers.

NAT Router IP: The private floating IP in this text field. This floating IP should be used as the gateway for the real servers.
NAT Router netmask: If the NAT router's floating IP needs a particular netmask, select it from drop-down list.
NAT Router device: Defines the device name of the network interface for the floating IP address, such as eth1:1.

1.10.3. REDUNDANCY

The REDUNDANCY panel allows you to configure of the backup LVS router node and set various heartbeat monitoring options.

The REDUNDANCY Panel

Figure 1.33. The REDUNDANCY Panel

Redundant server public IP: The public real IP address for the backup LVS router.
Redundant server private IP: The backup router's private real IP address.

The rest of the panel is for configuring the heartbeat channel, which is used by the backup node to monitor the primary node for failure.

Heartbeat Interval (seconds): Sets the number of seconds between heartbeats — the interval that the backup node will check the functional status of the primary LVS node.
Assume dead after (seconds): If the primary LVS node does not respond after this number of seconds, then the backup LVS router node will initiate failover.
Heartbeat runs on port: Sets the port at which the heartbeat communicates with the primary LVS node. The default is set to 539 if this field is left blank.

1.10.4. VIRTUAL SERVERS

The VIRTUAL SERVERS panel displays information for each currently defined virtual server. Each table entry shows the status of the virtual server, the server name, the virtual IP assigned to the server, the netmask of the virtual IP, the port number to which the service communicates, the protocol used, and the virtual device interface.

The VIRTUAL SERVERS Panel

Figure 1.34. The VIRTUAL SERVERS Panel

Each server displayed in the VIRTUAL SERVERS panel can be configured on subsequent screens or subsections.

To add a service, click the ADD button. To remove a service, select it by clicking the radio button next to the virtual server and click the DELETE button.

To enable or disable a virtual server in the table click its radio button and click the (DE)ACTIVATE button.

After adding a virtual server, you can configure it by clicking the radio button to its left and clicking the EDIT button to display the VIRTUAL SERVER subsection.

1.10.4.1. The VIRTUAL SERVER Subsection

The VIRTUAL SERVER subsection panel shown in Figure 1.35, “The VIRTUAL SERVERS Subsection” allows you to configure an individual virtual server. Links to subsections related specifically to this virtual server are located along the top of the page. But before configuring any of the subsections related to this virtual server, complete this page and click on the ACCEPT button.

The VIRTUAL SERVERS Subsection

Figure 1.35. The VIRTUAL SERVERS Subsection

Name: A descriptive name to identify the virtual server. This name is not the hostname for the machine, so make it descriptive and easily identifiable. You can even reference the protocol used by the virtual server, such as HTTP.
Application port: The port number through which the service application will listen.
Protocol: Provides a choice of UDP or TCP, in a drop-down menu.
Virtual IP Address: The virtual server's floating IP address.
Virtual IP Network Mask: The netmask for this virtual server, in the drop-down menu.
Firewall Mark: For entering a firewall mark integer value when bundling multi-port protocols or creating a multi-port virtual server for separate, but related protocols.
Device: The name of the network device to which you want the floating IP address defined in the Virtual IP Address field to bind.
You should alias the public floating IP address to the Ethernet interface connected to the public network.

Re-entry Time: An integer value that defines the number of seconds before the active LVS router attempts to use a real server after the real server failed.
Service Timeout: An integer value that defines the number of seconds before a real server is considered dead and not available.
Quiesce server: When the Quiesce server radio button is selected, anytime a new real server node comes online, the least-connections table is reset to zero so the active LVS router routes requests as if all the real servers were freshly added to the cluster. This option prevents the a new server from becoming bogged down with a high number of connections upon entering the cluster.
Load monitoring tool: The LVS router can monitor the load on the various real servers by using either rup or ruptime. If you select rup from the drop-down menu, each real server must run the rstatd service. If you select ruptime, each real server must run the rwhod service.
Scheduling: The preferred scheduling algorithm from the drop-down menu. The default is Weighted least-connection.
Persistence: Used if you need persistent connections to the virtual server during client transactions. Specifies the number of seconds of inactivity allowed to lapse before a connection times out in this text field.
Persistence Network Mask: To limit persistence to particular subnet, select the appropriate network mask from the drop-down menu.

1.10.4.2. REAL SERVER Subsection

Clicking on the REAL SERVER subsection link at the top of the panel displays the EDIT REAL SERVER subsection. It displays the status of the physical server hosts for a particular virtual service.

The REAL SERVER Subsection

Figure 1.36. The REAL SERVER Subsection

Click the ADD button to add a new server. To delete an existing server, select the radio button beside it and click the DELETE button. Click the EDIT button to load the EDIT REAL SERVER panel, as seen in Figure 1.37, “The REAL SERVER Configuration Panel”.

The REAL SERVER Configuration Panel

Figure 1.37. The REAL SERVER Configuration Panel

This panel consists of three entry fields:

Name: A descriptive name for the real server.
Note
This name is not the hostname for the machine, so make it descriptive and easily identifiable.
Address: The real server's IP address. Since the listening port is already specified for the associated virtual server, do not add a port number.
Weight: An integer value indicating this host's capacity relative to that of other hosts in the pool. The value can be arbitrary, but treat it as a ratio in relation to other real servers.

1.10.4.3. EDIT MONITORING SCRIPTS Subsection

Click on the MONITORING SCRIPTS link at the top of the page. The EDIT MONITORING SCRIPTS subsection allows the administrator to specify a send/expect string sequence to verify that the service for the virtual server is functional on each real server. It is also the place where the administrator can specify customized scripts to check services requiring dynamically changing data.

The EDIT MONITORING SCRIPTS Subsection

Figure 1.38. The EDIT MONITORING SCRIPTS Subsection

Sending Program

For more advanced service verification, you can use this field to specify the path to a service-checking script. This function is especially helpful for services that require dynamically changing data, such as HTTPS or SSL.

To use this function, you must write a script that returns a textual response, set it to be executable, and type the path to it in the Sending Program field.

Note

If an external program is entered in the Sending Program field, then the Send field is ignored.

Send

A string for the nanny daemon to send to each real server in this field. By default the send field is completed for HTTP. You can alter this value depending on your needs. If you leave this field blank, the nanny daemon attempts to open the port and assume the service is running if it succeeds.

Only one send sequence is allowed in this field, and it can only contain printable, ASCII characters as well as the following escape characters:

\n for new line.
\r for carriage return.
\t for tab.
\ to escape the next character which follows it.

Expect

The textual response the server should return if it is functioning properly. If you wrote your own sending program, enter the response you told it to send if it was successful.

^[1] A virtual server is a service configured to listen on a specific virtual IP.

Chapter 2. Red Hat Cluster Suite Component Summary

2.1. Cluster Components
2.2. Man Pages
2.3. Compatible Hardware

This chapter provides a summary of Red Hat Cluster Suite components and consists of the following sections:

Section 2.1, “Cluster Components”
Section 2.2, “Man Pages”
Section 2.3, “Compatible Hardware”

2.1. Cluster Components

Table 2.1, “Red Hat Cluster Manager Software Subsystem Components” summarizes Red Hat Cluster Suite components.

Table 2.1. Red Hat Cluster Manager Software Subsystem Components

Function	Components	Description
Conga	`luci`	Remote Management System - Management Station
	`ricci`	Remote Management System - Managed Station
Cluster Configuration Tool	`system-config-cluster`	Command used to manage cluster configuration in a graphical setting.
Cluster Logical Volume Manager (CLVM)	`clvmd`	The daemon that distributes LVM metadata updates around a cluster. It must be running on all nodes in the cluster and will give an error if a node in the cluster does not have this daemon running.
	`lvm`	LVM2 tools. Provides the command-line tools for LVM2..
	`system-config-lvm`	Provides graphical user interface for LVM2.
	`lvm.conf`	The LVM configuration file. The full path is `/etc/lvm/lvm.conf.`.
Cluster Configuration System (CCS)	`ccs_tool`	`ccs_tool` is part of the Cluster Configuration System (CCS). It is used to make online updates of CCS configuration files. Additionally, it can be used to upgrade cluster configuration files from CCS archives created with GFS 6.0 (and earlier) to the XML format configuration format used with this release of Red Hat Cluster Suite.
	`ccs_test`	Diagnostic and testing command that is used to retrieve information from configuration files through `ccsd`.
	`ccsd`	CCS daemon that runs on all cluster nodes and provides configuration file data to cluster software.
	`cluster.conf`	This is the cluster configuration file. The full path is `/etc/cluster/cluster.conf`.
Cluster Manager (CMAN)	`cman.ko`	The kernel module for CMAN.
	`cman_tool`	This is the administrative front end to CMAN. It starts and stops CMAN and can change some internal parameters such as votes.
	`libcman.so.<version number>`	Library for programs that need to interact with `cman.ko`.
Resource Group Manager (rgmanager)	`clusvcadm`	Command used to manually enable, disable, relocate, and restart user services in a cluster
	`clustat`	Command used to display the status of the cluster, including node membership and services running.
	`clurgmgrd`	Daemon used to handle user service requests including service start, service disable, service relocate, and service restart
	`clurmtabd`	Daemon used to handle Clustered NFS mount tables
Fence	`fence_apc`	Fence agent for APC power switch.
	`fence_bladecenter`	Fence agent for for IBM Bladecenters with Telnet interface.
	`fence_bullpap`	Fence agent for Bull Novascale Platform Administration Processor (PAP) Interface.
	`fence_drac`	Fencing agent for Dell Remote Access Card
	`fence_ipmilan`	Fence agent for machines controlled by IPMI (Intelligent Platform Management Interface) over LAN.
	`fence_wti`	Fence agent for WTI power switch.
	`fence_brocade`	Fence agent for Brocade Fibre Channel switch.
	`fence_mcdata`	Fence agent for McData Fibre Channel switch.
	`fence_vixel`	Fence agent for Vixel Fibre Channel switch.
	`fence_sanbox2`	Fence agent for SANBox2 Fibre Channel switch.
	`fence_ilo`	Fence agent for HP ILO interfaces (formerly fence_rib).
	`fence_rsa`	I/O Fencing agent for IBM RSA II.
	`fence_gnbd`	Fence agent used with GNBD storage.
	`fence_scsi`	I/O fencing agent for SCSI persistent reservations
	`fence_egenera`	Fence agent used with Egenera BladeFrame system.
	`fence_manual`	Fence agent for manual interaction. NOTE This component is not supported for production environments.
	`fence_ack_manual`	User interface for `fence_manual` agent.
	`fence_node`	A program which performs I/O fencing on a single node.
	`fence_xvm`	I/O Fencing agent for Xen virtual machines.
	`fence_xvmd`	I/O Fencing agent host for Xen virtual machines.
	`fence_tool`	A program to join and leave the fence domain.
	`fenced`	The I/O Fencing daemon.
DLM	`libdlm.so.<version number>`	Library for Distributed Lock Manager (DLM) support.
	`dlm.ko`	Kernel module that is installed on cluster nodes for Distributed Lock Manager (DLM) support.
GULM	`lock_gulmd`	Server/daemon that runs on each node and communicates with all nodes in GFS cluster.
	`libgulm.so.xxx`	Library for GULM lock manager support
	`gulm_tool`	Command that configures and debugs the `lock_gulmd` server.
GFS	`gfs.ko`	Kernel module that implements the GFS file system and is loaded on GFS cluster nodes.
	`gfs_fsck`	Command that repairs an unmounted GFS file system.
	`gfs_grow`	Command that grows a mounted GFS file system.
	`gfs_jadd`	Command that adds journals to a mounted GFS file system.
	`gfs_mkfs`	Command that creates a GFS file system on a storage device.
	`gfs_quota`	Command that manages quotas on a mounted GFS file system.
	`gfs_tool`	Command that configures or tunes a GFS file system. This command can also gather a variety of information about the file system.
	`mount.gfs`	Mount helper called by `mount(8)`; not used by user.
	`lock_harness.ko`	Implements a pluggable lock module interface for GFS that allows for a variety of locking mechanisms to be used.
	`lock_dlm.ko`	A lock module that implements DLM locking for GFS. It plugs into the lock harness, `lock_harness.ko` and communicates with the DLM lock manager in Red Hat Cluster Suite.
	`lock_gulm.ko`	A lock module that implements GULM locking for GFS. It plugs into the lock harness, `lock_harness.ko` and communicates with the GULM lock manager in Red Hat Cluster Suite.
	`lock_nolock.ko`	A lock module for use when GFS is used as a local file system only. It plugs into the lock harness, `lock_harness.ko` and provides local locking.
GNBD	`gnbd.ko`	Kernel module that implements the GNBD device driver on clients.
	`gnbd_export`	Command to create, export and manage GNBDs on a GNBD server.
	`gnbd_import`	Command to import and manage GNBDs on a GNBD client.
	`gnbd_serv`	A server daemon that allows a node to export local storage over the network.
LVS	`pulse`	This is the controlling process which starts all other daemons related to LVS routers. At boot time, the daemon is started by the `/etc/rc.d/init.d/pulse` script. It then reads the configuration file `/etc/sysconfig/ha/lvs.cf`. On the active LVS router, `pulse` starts the LVS daemon. On the backup router, `pulse` determines the health of the active router by executing a simple heartbeat at a user-configurable interval. If the active LVS router fails to respond after a user-configurable interval, it initiates failover. During failover, `pulse` on the backup LVS router instructs the `pulse` daemon on the active LVS router to shut down all LVS services, starts the `send_arp` program to reassign the floating IP addresses to the backup LVS router's MAC address, and starts the `lvs` daemon.
	`lvsd`	The `lvs` daemon runs on the active LVS router once called by `pulse`. It reads the configuration file `/etc/sysconfig/ha/lvs.cf`, calls the `ipvsadm` utility to build and maintain the IPVS routing table, and assigns a `nanny` process for each configured LVS service. If `nanny` reports a real server is down, `lvs` instructs the `ipvsadm` utility to remove the real server from the IPVS routing table.
	`ipvsadm`	This service updates the IPVS routing table in the kernel. The `lvs` daemon sets up and administers LVS by calling `ipvsadm` to add, change, or delete entries in the IPVS routing table.
	`nanny`	The `nanny` monitoring daemon runs on the active LVS router. Through this daemon, the active LVS router determines the health of each real server and, optionally, monitors its workload. A separate process runs for each service defined on each real server.
	`lvs.cf`	This is the LVS configuration file. The full path for the file is `/etc/sysconfig/ha/lvs.cf`. Directly or indirectly, all daemons get their configuration information from this file.
	Piranha Configuration Tool	This is the Web-based tool for monitoring, configuring, and administering LVS. This is the default tool to maintain the `/etc/sysconfig/ha/lvs.cf` LVS configuration file.
	`send_arp`	This program sends out ARP broadcasts when the floating IP address changes from one node to another during failover.
Quorum Disk	`qdisk`	A disk-based quorum daemon for CMAN / Linux-Cluster.
	`mkqdisk`	Cluster Quorum Disk Utility
	`qdiskd`	Cluster Quorum Disk Daemon

2.2. Man Pages

This section lists man pages that are relevant to Red Hat Cluster Suite, as an additional resource.

Cluster Infrastructure
- ccs_tool (8) - The tool used to make online updates of CCS config files
- ccs_test (8) - The diagnostic tool for a running Cluster Configuration System
- ccsd (8) - The daemon used to access CCS cluster configuration files
- ccs (7) - Cluster Configuration System
- cman_tool (8) - Cluster Management Tool
- cluster.conf [cluster] (5) - The configuration file for cluster products
- qdisk (5) - a disk-based quorum daemon for CMAN / Linux-Cluster
- mkqdisk (8) - Cluster Quorum Disk Utility
- qdiskd (8) - Cluster Quorum Disk Daemon
- fence_ack_manual (8) - program run by an operator as a part of manual I/O Fencing
- fence_apc (8) - I/O Fencing agent for APC MasterSwitch
- fence_bladecenter (8) - I/O Fencing agent for IBM Bladecenter
- fence_brocade (8) - I/O Fencing agent for Brocade FC switches
- fence_bullpap (8) - I/O Fencing agent for Bull FAME architecture controlled by a PAP management console
- fence_drac (8) - fencing agent for Dell Remote Access Card
- fence_egenera (8) - I/O Fencing agent for the Egenera BladeFrame
- fence_gnbd (8) - I/O Fencing agent for GNBD-based GFS clusters
- fence_ilo (8) - I/O Fencing agent for HP Integrated Lights Out card
- fence_ipmilan (8) - I/O Fencing agent for machines controlled by IPMI over LAN
- fence_manual (8) - program run by fenced as a part of manual I/O Fencing
- fence_mcdata (8) - I/O Fencing agent for McData FC switches
- fence_node (8) - A program which performs I/O fencing on a single node
- fence_rib (8) - I/O Fencing agent for Compaq Remote Insight Lights Out card
- fence_rsa (8) - I/O Fencing agent for IBM RSA II
- fence_sanbox2 (8) - I/O Fencing agent for QLogic SANBox2 FC switches
- fence_scsi (8) - I/O fencing agent for SCSI persistent reservations
- fence_tool (8) - A program to join and leave the fence domain
- fence_vixel (8) - I/O Fencing agent for Vixel FC switches
- fence_wti (8) - I/O Fencing agent for WTI Network Power Switch
- fence_xvm (8) - I/O Fencing agent for Xen virtual machines
- fence_xvmd (8) - I/O Fencing agent host for Xen virtual machines
- fenced (8) - the I/O Fencing daemon
High-availability Service Management
- clusvcadm (8) - Cluster User Service Administration Utility
- clustat (8) - Cluster Status Utility
- Clurgmgrd [clurgmgrd] (8) - Resource Group (Cluster Service) Manager Daemon
- clurmtabd (8) - Cluster NFS Remote Mount Table Daemon
GFS
- gfs_fsck (8) - Offline GFS file system checker
- gfs_grow (8) - Expand a GFS filesystem
- gfs_jadd (8) - Add journals to a GFS filesystem
- gfs_mount (8) - GFS mount options
- gfs_quota (8) - Manipulate GFS disk quotas
- gfs_tool (8) - interface to gfs ioctl calls
Cluster Logical Volume Manager
- clvmd (8) - cluster LVM daemon
- lvm (8) - LVM2 tools
- lvm.conf [lvm] (5) - Configuration file for LVM2
- lvmchange (8) - change attributes of the logical volume manager
- pvcreate (8) - initialize a disk or partition for use by LVM
- lvs (8) - report information about logical volumes
Global Network Block Device
- gnbd_export (8) - the interface to export GNBDs
- gnbd_import (8) - manipulate GNBD block devices on a client
- gnbd_serv (8) - gnbd server daemon
LVS
- pulse (8) - heartbeating daemon for monitoring the health of cluster nodes
- lvs.cf [lvs] (5) - configuration file for lvs
- lvscan (8) - scan (all disks) for logical volumes
- lvsd (8) - daemon to control the Red Hat clustering services
- ipvsadm (8) - Linux Virtual Server administration
- ipvsadm-restore (8) - restore the IPVS table from stdin
- ipvsadm-save (8) - save the IPVS table to stdout
- nanny (8) - tool to monitor status of services in a cluster
- send_arp (8) - tool to notify network of a new IP address / MAC address mapping

2.3. Compatible Hardware

For information about hardware that is compatible with Red Hat Cluster Suite components (for example, supported fence devices, storage devices, and Fibre Channel switches), refer to the hardware configuration guidelines at http://www.redhat.com/cluster_suite/hardware/.

Revision History

Revision History

Revision 1.0

Fri Apr 24 2009

Index

A

about this document

other Red Hat Enterprise Linux documents, Introduction

C

cluster

displaying status, Cluster Status Tool

cluster administration

displaying cluster and service status, Cluster Status Tool

cluster component compatible hardware, Compatible Hardware

cluster components table, Cluster Components

Cluster Configuration Tool

accessing, Cluster Configuration Tool

cluster service

displaying status, Cluster Status Tool

command line tools table, Command Line Administration Tools

compatible hardware

cluster components, Compatible Hardware

Conga

overview, Conga

Conga overview, Conga

F

feedback, Feedback

I

introduction, Introduction

L

LVS

direct routing

requirements, hardware, Direct Routing
requirements, network, Direct Routing
requirements, software, Direct Routing

routing methods

NAT, Routing Methods

three tiered

high-availability cluster, Three-Tier LVS Topology

N

NAT

routing methods, LVS, Routing Methods

network address translation (see NAT)

O

overview

economy, Red Hat GFS
performance, Red Hat GFS
scalability, Red Hat GFS

P

Piranha Configuration Tool

CONTROL/MONITORING, CONTROL/MONITORING

EDIT MONITORING SCRIPTS Subsection, EDIT MONITORING SCRIPTS Subsection

GLOBAL SETTINGS, GLOBAL SETTINGS

login panel, Linux Virtual Server Administration GUI

necessary software, Linux Virtual Server Administration GUI

REAL SERVER subsection, REAL SERVER Subsection

REDUNDANCY, REDUNDANCY

VIRTUAL SERVER subsection, VIRTUAL SERVERS

Firewall Mark, The VIRTUAL SERVER Subsection
Persistence, The VIRTUAL SERVER Subsection
Scheduling, The VIRTUAL SERVER Subsection
Virtual IP Address, The VIRTUAL SERVER Subsection

VIRTUAL SERVERS, VIRTUAL SERVERS

R

Red Hat Cluster Manager

components, Cluster Components

T

table

command line tools, Command Line Administration Tools

tables

cluster components, Cluster Components