Red Hat Summit 红帽全球峰会支持控制台（Console）开发人员开始试用联系人

此内容没有您所选择的语言版本。

Chapter 4. 3scale AMP 2.0 On-Premises Operations and Scaling Guide

4.1. 1. Introduction
复制链接

This document describes operations and scaling tasks of a Red Hat 3scale AMP 2.0 On-Premises installation.

4.1.1. 1.1. Prerequisites
复制链接

Before you can perform the steps in this guide, you must have installed and initially configured AMP On-Premises on OpenShift 3.3 or 3.4.

This document is not intended for local installations on laptops or similar end user equipment.

4.1.1.1. Further Reading
复制链接

4.2. 2. Re-deploying APIcast
复制链接

Once you have deployed AMP On-Premises and your chosen APIcast deployment method, you can test and promote system changes through your AMP dashboard. By default, APIcast deployments on OpenShift, both built-in and on other OpenShift clusters, are configured to allow you to publish changes to your staging and production gateways through the AMP UI.

Redeploy APIcast on OpenShift:

  1. Make system changes
  2. In the UI, deploy to staging and test
  3. In the UI, promote to production
  4. By default, APIcast retrieves and publishes the promoted update once every 5 minutes

If you are using APIcast on the Docker containerized environment or a native installation, you must configure your staging and production gateways, as well as configure how often your gateway retrieves published changes. Once you have configured your APIcast gateways, you can redeploy APIcast through the AMP UI.

To redeploy APIcast on the Docker containerized environment or a native installations:

  1. Configure your APIcast gateway and connect it to AMP On-Premises
  2. Make system changes
  3. In the UI, deploy to staging and test
  4. In the UI, promote to production
  5. APIcast will retrieve and publish the promoted update at the configured frequency

4.3. 3 Scaling up AMP On Premises
复制链接

4.3.1. 3.1. Scaling up Storage
复制链接

As your APIcast deployment grows, you may need to increase the amount of storage available. How you scale up storage depends on which type of file system you are using for your persistent storage.

If you are using a network file system (NFS), you can scale up your persistent volume using the oc edit pv command: 

oc edit pv <pv_name>
Copy to Clipboard Toggle word wrap

If you are using any other storage method, you must scale up your persistent volume manually using either of the following methods:

  1. Back up the data on your existing persistent volume
  2. Create and attach a target persistent volume, scaled for your new size requirements
  3. Create a pre-bound persistent volume claim, specify: The size of your new PVC The persistent volume name using the volumeName field
  4. Restore data from your backup onto your newly created PV

  5. Modify your deployment configuration with the name of your new PV: 

    oc edit dc/system-app
    Copy to Clipboard Toggle word wrap
  6. Verify your new PV is configured and working correctly
  7. Delete your previous PVC to release its claimed resources

4.3.1.2. 3.1.2. Method 2. Back up and Redeploy AMP
复制链接

  1. Back up the data on your existing persistent volume
  2. Shut down your 3scale pods
  3. Create and attach a target persistent volume, scaled for your new size requirements
  4. Restore data from your backup onto your newly created PV

  5. Create a pre-bound persistent volume claim. Specify:

    • The size of your new PVC
    • The persistent volume name using the volumeName field
  6. Deploy your AMP.yml
  7. Verify your new PV is configured and working correctly.
  8. Delete your previous PVC to release its claimed resources.

4.3.2. 3.2. Scaling up Performance
复制链接

4.3.2.1. 3.2.1. Configuring 3scale On-Premises Deployments
复制链接

By default, 3scale deployments run 1 process per pod. You can increase performance by running more processes per pod. Red Hat recommends running 1-2 processes per core on each node.

Perform the following steps to add more processes to a pod:

  1. Log in to your OpenShift cluster 

    oc login
    Copy to Clipboard Toggle word wrap

  2. Switch to your 3scale project 

    oc project <project_name>
    Copy to Clipboard Toggle word wrap

  3. Set the appropriate environment variable to the the desired number of processes per pod

    • APICAST_WORKERS for APIcast pods (Red Hat recommends no more than 2 per deployment)
    • PUMA_WORKERS for backend pods

    • UNICORN_WORKERS for system pods 

      oc env dc/apicast --overwrite APICAST_WORKERS=<number_of_processes>
      Copy to Clipboard Toggle word wrap 
      oc env dc/backend --overwrite PUMA_WORKERS=<number_of_processes>
      Copy to Clipboard Toggle word wrap 
      oc env dc/system-app --overwrite UNICORN_WORKERS=<number_of_processes>
      Copy to Clipboard Toggle word wrap

4.3.2.2. 3.2.2. Vertical and Horizontal Hardware Scaling
复制链接

You can increase the performance of your AMP deployment on OpenShift by adding resources. You can add more compute nodes as pods to your OpenShift cluster (horizontal scaling), or you can allocate more resources to existing compute nodes (vertical scaling).

Horizontal Scaling

You can add more compute nodes as pods to your OpenShift. As long as your additional compute nodes match the existing nodes in your cluster, you do not have to reconfigure any environment variables.

Vertical Scaling

You can allocate more resources to existing compute nodes. If you allocate more resources, you must add additional processes to your pods to increase performance.

Note

Red Hat does not recommend mixing compute nodes of a different specification or configuration on your 3scale deployment.

4.3.2.3. 3.2.3. Scaling Up Routers
复制链接

As your traffic increases, you must ensure your OCP routers can adequately handle requests. If your routers are limiting the throughput of your requests, you must scale up your router nodes.

4.3.2.4. 3.2.4. Further Reading
复制链接

  • Scaling tasks, adding hardware compute nodes to OpenShift
  • Adding Compute Nodes
  • Routers

4.4. 4. Operations Troubleshooting
复制链接

4.4.1. 4.1. Access Your Logs
复制链接

Each component’s deployment configuration contains logs for access and exceptions. If you encounter issues with your deployment, check these logs for details.

Follow these steps to access logs in 3scale:

  1. Find the ID of the pod you want logs for: 

    oc get pods
    Copy to Clipboard Toggle word wrap

  2. Enter oc logs and the ID of your chosen pod: 

    oc logs <pod>
    Copy to Clipboard Toggle word wrap

The system pod has 2 containers, each with a separate log. To access a container’s log, specify the --container parameter with the system-provider and system-developer: 

oc logs <pod> --container=system-provider
oc logs <pod> --container=system-developer
Copy to Clipboard Toggle word wrap

4.4.2. 4.2. Job Queues
复制链接

Job Queues contain logs of information sent from the system-resque and system-sidekiq pods. Use these logs to check if your cluster is processing data. You can query the logs using the OpenShift CLI: 

oc get jobs
Copy to Clipboard Toggle word wrap 
oc logs <job>
Copy to Clipboard Toggle word wrap
返回顶部
Red Hat logoGithubredditYoutubeTwitter

学习

尝试、购买和销售

社区

关于红帽文档

通过我们的产品和服务，以及可以信赖的内容，帮助红帽用户创新并实现他们的目标。 了解我们当前的更新.

让开源更具包容性

红帽致力于替换我们的代码、文档和 Web 属性中存在问题的语言。欲了解更多详情，请参阅红帽博客.

關於紅帽

我们提供强化的解决方案，使企业能够更轻松地跨平台和环境（从核心数据中心到网络边缘）工作。

Theme

© 2025 Red Hat