Chapter 10. Setting up graphical representation of PCP metrics


Using a combination of pcp, grafana, pcp redis, pcp bpftrace, and pcp vector provides graphical representation of the live data or data collected by Performance Co-Pilot (PCP).

10.1. Setting up PCP with pcp-zeroconf

This procedure describes how to set up PCP on a system with the pcp-zeroconf package. Once the pcp-zeroconf package is installed, the system records the default set of metrics into archived files.

Procedure

  • Install the pcp-zeroconf package:

    Copy to Clipboard Toggle word wrap
    # yum install pcp-zeroconf

Verification

  • Ensure that the pmlogger service is active, and starts archiving the metrics:

    Copy to Clipboard Toggle word wrap
    # pcp | grep pmlogger
     pmlogger: primary logger: /var/log/pcp/pmlogger/localhost.localdomain/20200401.00.12

Additional resources

10.2. Setting up a grafana-server

Grafana generates graphs that are accessible from a browser. The grafana-server is a back-end server for the Grafana dashboard. It listens, by default, on all interfaces, and provides web services accessed through the web browser. The grafana-pcp plugin interacts with the pmproxy daemon in the backend.

This procedure describes how to set up a grafana-server.

Prerequisites

Procedure

  1. Install the following packages:

    Copy to Clipboard Toggle word wrap
    # yum install grafana grafana-pcp
  2. Restart and enable the following service:

    Copy to Clipboard Toggle word wrap
    # systemctl restart grafana-server
    # systemctl enable grafana-server
  3. Open the server’s firewall for network traffic to the Grafana service.

    Copy to Clipboard Toggle word wrap
    # firewall-cmd --permanent --add-service=grafana
    success
    
    # firewall-cmd --reload
    success

Verification

  • Ensure that the grafana-server is listening and responding to requests:

    Copy to Clipboard Toggle word wrap
    # ss -ntlp | grep 3000
    LISTEN  0  128  *:3000  *:*  users:(("grafana-server",pid=19522,fd=7))
  • Ensure that the grafana-pcp plugin is installed:

    Copy to Clipboard Toggle word wrap
    # grafana-cli plugins ls | grep performancecopilot-pcp-app
    
    performancecopilot-pcp-app @ 3.1.0

Additional resources

  • pmproxy(1) and grafana-server man pages on your system

10.3. Accessing the Grafana web UI

This procedure describes how to access the Grafana web interface.

Using the Grafana web interface, you can:

  • add PCP Redis, PCP bpftrace, and PCP Vector data sources
  • create dashboard
  • view an overview of any useful metrics
  • create alerts in PCP Redis

Prerequisites

  1. PCP is configured. For more information, see Setting up PCP with pcp-zeroconf.
  2. The grafana-server is configured. For more information, see Setting up a grafana-server.

Procedure

  1. On the client system, open a browser and access the grafana-server on port 3000, using http://192.0.2.0:3000 link.

    Replace 192.0.2.0 with your machine IP when accessing Grafana web UI from a remote machine, or with localhost when accessing the web UI locally.

  2. For the first login, enter admin in both the Email or username and Password field.

    Grafana prompts to set a New password to create a secured account. If you want to set it later, click Skip.

  3. From the menu, hover over the grafana gear icon Configuration icon and then click Plugins.
  4. In the Plugins tab, type performance co-pilot in the Search by name or type text box and then click Performance Co-Pilot (PCP) plugin.
  5. In the Plugins / Performance Co-Pilot pane, click Enable.
  6. Click Grafana grafana home page whirl icon icon. The Grafana Home page is displayed.

    Figure 10.1. Home Dashboard

    grafana home dashboard
    Note

    The top corner of the screen has a similar grafana top corner settings icon icon, but it controls the general Dashboard settings.

  7. In the Grafana Home page, click Add your first data source to add PCP Redis, PCP bpftrace, and PCP Vector data sources. For more information about adding data source, see:

  8. Optional: From the menu, hover over the admin profile grafana logout option icon icon to change the Preferences including Edit Profile, Change Password, or to Sign out.

Additional resources

  • grafana-cli and grafana-server man pages on your system

10.4. Configuring PCP Redis

Use the PCP Redis data source to:

  • View data archives
  • Query time series using pmseries language
  • Analyze data across multiple hosts

Prerequisites

  1. PCP is configured. For more information, see Setting up PCP with pcp-zeroconf.
  2. The grafana-server is configured. For more information, see Setting up a grafana-server.
  3. Mail transfer agent, for example, sendmail or postfix is installed and configured.

Procedure

  1. Install the redis package:

    Copy to Clipboard Toggle word wrap
    # yum module install redis:6
    Note

    From Red Hat Enterprise Linux 8.4, Redis 6 is supported but the yum update command does not update Redis 5 to Redis 6. To update from Redis 5 to Redis 6, run:

    # yum module switch-to redis:6

  2. Start and enable the following services:

    Copy to Clipboard Toggle word wrap
    # systemctl start pmproxy redis
    # systemctl enable pmproxy redis
  3. Restart the grafana-server:

    Copy to Clipboard Toggle word wrap
    # systemctl restart grafana-server

Verification

  • Ensure that the pmproxy and redis are working:

    Copy to Clipboard Toggle word wrap
    # pmseries disk.dev.read
    2eb3e58d8f1e231361fb15cf1aa26fe534b4d9df

    This command does not return any data if the redis package is not installed.

Additional resources

  • pmseries(1) man page on your system

10.5. Creating panels and alerts in PCP Redis data source

After adding the PCP Redis data source, you can view the dashboard with an overview of useful metrics, add a query to visualize the load graph, and create alerts that help you to view the system issues after they occur.

Prerequisites

  1. The PCP Redis is configured. For more information, see Configuring PCP Redis.
  2. The grafana-server is accessible. For more information, see Accessing the Grafana web UI.

Procedure

  1. Log into the Grafana web UI.
  2. In the Grafana Home page, click Add your first data source.
  3. In the Add data source pane, type redis in the Filter by name or type text box and then click PCP Redis.
  4. In the Data Sources / PCP Redis pane, perform the following:

    1. Add http://localhost:44322 in the URL field and then click Save & Test.
    2. Click Dashboards tab Import PCP Redis: Host Overview to see a dashboard with an overview of any useful metrics.

      Figure 10.2. PCP Redis: Host Overview

      pcp redis host overview
  5. Add a new panel:

    1. From the menu, hover over the grafana plus sign Create icon Dashboard Add new panel icon to add a panel.
    2. In the Query tab, select the PCP Redis from the query list instead of the selected default option and in the text field of A, enter metric, for example, kernel.all.load to visualize the kernel load graph.
    3. Optional: Add Panel title and Description, and update other options from the Settings.
    4. Click Save to apply changes and save the dashboard. Add Dashboard name.
    5. Click Apply to apply changes and go back to the dashboard.

      Figure 10.3. PCP Redis query panel

      pcp redis query panel
  6. Create an alert rule:

    1. In the PCP Redis query panel, click redis alert icon Alert and then click Create Alert.
    2. Edit the Name, Evaluate query, and For fields from the Rule, and specify the Conditions for your alert.
    3. Click Save to apply changes and save the dashboard. Click Apply to apply changes and go back to the dashboard.

      Figure 10.4. Creating alerts in the PCP Redis panel

      pcp redis query alert panel
    4. Optional: In the same panel, scroll down and click Delete icon to delete the created rule.
    5. Optional: From the menu, click alerting bell icon Alerting icon to view the created alert rules with different alert statuses, to edit the alert rule, or to pause the existing rule from the Alert Rules tab.

      To add a notification channel for the created alert rule to receive an alert notification from Grafana, see Adding notification channels for alerts.

10.6. Adding notification channels for alerts

By adding notification channels, you can receive an alert notification from Grafana whenever the alert rule conditions are met and the system needs further monitoring.

You can receive these alerts after selecting any one type from the supported list of notifiers, which includes DingDing, Discord, Email, Google Hangouts Chat, HipChat, Kafka REST Proxy, LINE, Microsoft Teams, OpsGenie, PagerDuty, Prometheus Alertmanager, Pushover, Sensu, Slack, Telegram, Threema Gateway, VictorOps, and webhook.

Prerequisites

  1. The grafana-server is accessible. For more information, see Accessing the Grafana web UI.
  2. An alert rule is created. For more information, see Creating panels and alert in PCP Redis data source.
  3. Configure SMTP and add a valid sender’s email address in the grafana/grafana.ini file:

    Copy to Clipboard Toggle word wrap
    # vi /etc/grafana/grafana.ini
    
    [smtp]
    enabled = true
    from_address = abc@gmail.com

    Replace abc@gmail.com by a valid email address.

  4. Restart grafana-server

    Copy to Clipboard Toggle word wrap
    # systemctl restart grafana-server.service

Procedure

  1. From the menu, hover over the alerting bell icon Alerting icon click Notification channels Add channel.
  2. In the Add notification channel details pane, perform the following:

    1. Enter your name in the Name text box
    2. Select the communication Type, for example, Email and enter the email address. You can add multiple email addresses using the ; separator.
    3. Optional: Configure Optional Email settings and Notification settings.
  3. Click Save.
  4. Select a notification channel in the alert rule:

    1. From the menu, hover over the alerting bell icon Alerting icon and then click Alert rules.
    2. From the Alert Rules tab, click the created alert rule.
    3. On the Notifications tab, select your notification channel name from the Send to option, and then add an alert message.
    4. Click Apply.

10.7. Setting up authentication between PCP components

You can setup authentication using the scram-sha-256 authentication mechanism, which is supported by PCP through the Simple Authentication Security Layer (SASL) framework.

Note

From Red Hat Enterprise Linux 8.3, PCP supports the scram-sha-256 authentication mechanism.

Procedure

  1. Install the sasl framework for the scram-sha-256 authentication mechanism:

    Copy to Clipboard Toggle word wrap
    # yum install cyrus-sasl-scram cyrus-sasl-lib
  2. Specify the supported authentication mechanism and the user database path in the pmcd.conf file:

    Copy to Clipboard Toggle word wrap
    # vi /etc/sasl2/pmcd.conf
    
    mech_list: scram-sha-256
    
    sasldb_path: /etc/pcp/passwd.db
  3. Create a new user:

    Copy to Clipboard Toggle word wrap
    # useradd -r metrics

    Replace metrics by your user name.

  4. Add the created user in the user database:

    Copy to Clipboard Toggle word wrap
    # saslpasswd2 -a pmcd metrics
    
    Password:
    Again (for verification):

    To add the created user, you are required to enter the metrics account password.

  5. Set the permissions of the user database:

    Copy to Clipboard Toggle word wrap
    # chown root:pcp /etc/pcp/passwd.db
    # chmod 640 /etc/pcp/passwd.db
  6. Restart the pmcd service:

    Copy to Clipboard Toggle word wrap
    # systemctl restart pmcd

Verification

  • Verify the sasl configuration:

    Copy to Clipboard Toggle word wrap
    # pminfo -f -h "pcp://127.0.0.1?username=metrics" disk.dev.read
    Password:
    disk.dev.read
    inst [0 or "sda"] value 19540

Additional resources

10.8. Installing PCP bpftrace

The pcp-bpftrace package in Red Hat Enterprise Linux is the combination of Performance Co-Pilot (PCP) and bpftrace to create custom tracing tools that use the extended Berkeley Packet Filter (eBPF) technology within the kernel. With pcp-bpftrace, you can optimize the system behaviour from the performance data gathered by bpftrace scripts.

The bpftrace scripts use the enhanced Berkeley Packet Filter (eBPF).

Prerequisites

  1. PCP is configured. For more information, see Setting up PCP with pcp-zeroconf.
  2. The grafana-server is configured. For more information, see Setting up a grafana-server.
  3. The scram-sha-256 authentication mechanism is configured. For more information, see Setting up authentication between PCP components.

Procedure

  1. Install the pcp-pmda-bpftrace package:

    Copy to Clipboard Toggle word wrap
    # yum install pcp-pmda-bpftrace
  2. Edit the bpftrace.conf file and add the user that you have created in Setting up authentication between PCP components:

    Copy to Clipboard Toggle word wrap
    # vi /var/lib/pcp/pmdas/bpftrace/bpftrace.conf
    
    [dynamic_scripts]
    enabled = true
    auth_enabled = true
    allowed_users = root,metrics

    Replace metrics by your user name.

  3. Install bpftrace PMDA:

    Copy to Clipboard Toggle word wrap
    # cd /var/lib/pcp/pmdas/bpftrace/
    # ./Install
    Updating the Performance Metrics Name Space (PMNS) ...
    Terminate PMDA if already installed ...
    Updating the PMCD control file, and notifying PMCD ...
    Check bpftrace metrics have appeared ... 7 metrics and 6 values

    The pmda-bpftrace is now installed, and can only be used after authenticating your user. For more information, see Viewing the PCP bpftrace System Analysis dashboard.

Additional resources

  • pmdabpftrace(1) and bpftrace man pages on your system

10.9. Viewing the PCP bpftrace System Analysis dashboard

Using the PCP bpftrace data source, you can access the live data from sources which are not available as normal data from the pmlogger or archives

In the PCP bpftrace data source, you can view the dashboard with an overview of useful metrics.

Prerequisites

  1. The PCP bpftrace is installed. For more information, see Installing PCP bpftrace.
  2. The grafana-server is accessible. For more information, see Accessing the Grafana web UI.

Procedure

  1. Log into the Grafana web UI.
  2. In the Grafana Home page, click Add your first data source.
  3. In the Add data source pane, type bpftrace in the Filter by name or type text box and then click PCP bpftrace.
  4. In the Data Sources / PCP bpftrace pane, perform the following:

    1. Add http://localhost:44322 in the URL field.
    2. Toggle the Basic Auth option and add the created user credentials in the User and Password field.
    3. Click Save & Test.

      Figure 10.5. Adding PCP bpftrace in the data source

      bpftrace auth
    4. Click Dashboards tab Import PCP bpftrace: System Analysis to see a dashboard with an overview of any useful metrics.

      Figure 10.6. PCP bpftrace: System Analysis

      pcp bpftrace bpftrace system analysis

10.10. Installing PCP Vector

Install a pcp vector data source to show live, on-host metrics from the real-time pmwebapi interfaces. This data source is intended for on-demand performance monitoring of an individual host and includes container support.

Prerequisites

  1. PCP is configured. For more information, see Setting up PCP with pcp-zeroconf.
  2. The grafana-server is configured. For more information, see Setting up a grafana-server.

Procedure

  1. Install the pcp-pmda-bcc package:

    Copy to Clipboard Toggle word wrap
    # yum install pcp-pmda-bcc
  2. Install the bcc PMDA:

    Copy to Clipboard Toggle word wrap
    # cd /var/lib/pcp/pmdas/bcc
    # ./Install
    [Wed Apr  1 00:27:48] pmdabcc(22341) Info: Initializing, currently in 'notready' state.
    [Wed Apr  1 00:27:48] pmdabcc(22341) Info: Enabled modules:
    [Wed Apr  1 00:27:48] pmdabcc(22341) Info: ['biolatency', 'sysfork',
    [...]
    Updating the Performance Metrics Name Space (PMNS) ...
    Terminate PMDA if already installed ...
    Updating the PMCD control file, and notifying PMCD ...
    Check bcc metrics have appeared ... 1 warnings, 1 metrics and 0 values

Additional resources

  • pmdabcc(1) man page on your system

10.11. Viewing the PCP Vector Checklist

The PCP Vector data source displays live metrics and uses the pcp metrics. It analyzes data for individual hosts.

After adding the PCP Vector data source, you can view the dashboard with an overview of useful metrics and view the related troubleshooting or reference links in the checklist.

Prerequisites

  1. The PCP Vector is installed. For more information, see Installing PCP Vector.
  2. The grafana-server is accessible. For more information, see Accessing the Grafana web UI.

Procedure

  1. Log into the Grafana web UI.
  2. In the Grafana Home page, click Add your first data source.
  3. In the Add data source pane, type vector in the Filter by name or type text box and then click PCP Vector.
  4. In the Data Sources / PCP Vector pane, perform the following:

    1. Add http://localhost:44322 in the URL field and then click Save & Test.
    2. Click Dashboards tab Import PCP Vector: Host Overview to see a dashboard with an overview of any useful metrics.

      Figure 10.7. PCP Vector: Host Overview

      pcp vector host overview
  5. From the menu, hover over the pcp plugin in grafana Performance Co-Pilot plugin and then click PCP Vector Checklist.

    In the PCP checklist, click pcp vector checklist troubleshooting doc help or pcp vector checklist warning warning icon to view the related troubleshooting or reference links.

    Figure 10.8. Performance Co-Pilot / PCP Vector Checklist

    pcp vector checklist

10.12. Using heatmaps in Grafana

You can use heatmaps in Grafana to view histograms of your data over time, identify trends and patterns in your data, and see how they change over time. Each column within a heatmap represents a single histogram with different colored cells representing the different densities of observation of a given value within that histogram.

Important

This specific workflow is for the heatmaps in Grafana version 9.2.10 and later on RHEL8.

Prerequisites

Procedure

  1. Hover the cursor over the Dashboards tab and click + New dashboard.
  2. In the Add panel menu, click Add a new panel.
  3. In the Query tab:

    1. Select PCP Redis from the query list instead of the selected default option.
    2. In the text field of A, enter a metric, for example, kernel.all.load to visualize the kernel load graph.
  4. Click the visualization dropdown menu, which is set to Time series by default, and then click Heatmap.
  5. Optional: In the Panel Options dropdown menu, add a Panel Title and Description.
  6. In the Heatmap dropdown menu, under the Calculate from data setting, click Yes.

    Heatmap

    A configured Grafana heatmap

  7. Optional: In the Colors dropdown menu, change the Scheme from the default Orange and select the number of steps (color shades).
  8. Optional: In the Tooltip dropdown menu, under the Show histogram (Y Axis) setting, click the toggle to display a cell’s position within its specific histogram when hovering your cursor over a cell in the heatmap. For example:

    Show histogram (Y Axis) cell display

    A cell’s specific position within its histogram

10.13. Troubleshooting Grafana issues

It is sometimes neccesary to troubleshoot Grafana issues, such as, Grafana does not display any data, the dashboard is black, or similar issues.

Procedure

  • Verify that the pmlogger service is up and running by executing the following command:

    Copy to Clipboard Toggle word wrap
    $ systemctl status pmlogger
  • Verify if files were created or modified to the disk by executing the following command:

    Copy to Clipboard Toggle word wrap
    $ ls /var/log/pcp/pmlogger/$(hostname)/ -rlt
    total 4024
    -rw-r--r--. 1 pcp pcp   45996 Oct 13  2019 20191013.20.07.meta.xz
    -rw-r--r--. 1 pcp pcp     412 Oct 13  2019 20191013.20.07.index
    -rw-r--r--. 1 pcp pcp   32188 Oct 13  2019 20191013.20.07.0.xz
    -rw-r--r--. 1 pcp pcp   44756 Oct 13  2019 20191013.20.30-00.meta.xz
    [..]
  • Verify that the pmproxy service is running by executing the following command:

    Copy to Clipboard Toggle word wrap
    $ systemctl status pmproxy
  • Verify that pmproxy is running, time series support is enabled, and a connection to Redis is established by viewing the /var/log/pcp/pmproxy/pmproxy.log file and ensure that it contains the following text:

    Copy to Clipboard Toggle word wrap
    pmproxy(1716) Info: Redis slots, command keys, schema version setup

    Here, 1716 is the PID of pmproxy, which will be different for every invocation of pmproxy.

  • Verify if the Redis database contains any keys by executing the following command:

    Copy to Clipboard Toggle word wrap
    $ redis-cli dbsize
    (integer) 34837
  • Verify if any PCP metrics are in the Redis database and pmproxy is able to access them by executing the following commands:

    Copy to Clipboard Toggle word wrap
    $ pmseries disk.dev.read
    2eb3e58d8f1e231361fb15cf1aa26fe534b4d9df
    
    $ pmseries "disk.dev.read[count:10]"
    2eb3e58d8f1e231361fb15cf1aa26fe534b4d9df
        [Mon Jul 26 12:21:10.085468000 2021] 117971 70e83e88d4e1857a3a31605c6d1333755f2dd17c
        [Mon Jul 26 12:21:00.087401000 2021] 117758 70e83e88d4e1857a3a31605c6d1333755f2dd17c
        [Mon Jul 26 12:20:50.085738000 2021] 116688 70e83e88d4e1857a3a31605c6d1333755f2dd17c
    [...]
    Copy to Clipboard Toggle word wrap
    $ redis-cli --scan --pattern "*$(pmseries 'disk.dev.read')"
    
    pcp:metric.name:series:2eb3e58d8f1e231361fb15cf1aa26fe534b4d9df
    pcp:values:series:2eb3e58d8f1e231361fb15cf1aa26fe534b4d9df
    pcp:desc:series:2eb3e58d8f1e231361fb15cf1aa26fe534b4d9df
    pcp:labelvalue:series:2eb3e58d8f1e231361fb15cf1aa26fe534b4d9df
    pcp:instances:series:2eb3e58d8f1e231361fb15cf1aa26fe534b4d9df
    pcp:labelflags:series:2eb3e58d8f1e231361fb15cf1aa26fe534b4d9df
  • Verify if there are any errors in the Grafana logs by executing the following command:

    Copy to Clipboard Toggle word wrap
    $ journalctl -e -u grafana-server
    -- Logs begin at Mon 2021-07-26 11:55:10 IST, end at Mon 2021-07-26 12:30:15 IST. --
    Jul 26 11:55:17 localhost.localdomain systemd[1]: Starting Grafana instance...
    Jul 26 11:55:17 localhost.localdomain grafana-server[1171]: t=2021-07-26T11:55:17+0530 lvl=info msg="Starting Grafana" logger=server version=7.3.6 c>
    Jul 26 11:55:17 localhost.localdomain grafana-server[1171]: t=2021-07-26T11:55:17+0530 lvl=info msg="Config loaded from" logger=settings file=/usr/s>
    Jul 26 11:55:17 localhost.localdomain grafana-server[1171]: t=2021-07-26T11:55:17+0530 lvl=info msg="Config loaded from" logger=settings file=/etc/g>
    [...]
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