the Hawkular Metrics service. use it to retrieve metrics. It does not necessarily mean that the cluster will fail. You can enable or disable encryption for your whole cluster during cluster deployment. The Reference Architecture of OpenShift on OpenStackmay include further material on this topic, and more is to come. Master nodes, infrastructure nodes, application nodes run on Azure Virtual Machines, billed at Linux VM pricing. The risk is to severely impact important functionalities. As an OpenShift Container Platform administrator, you can view a cluster's metrics from all containers and components in one user interface. For example, if your openshift_metrics_hawkular_hostname corresponds to It is available as part of the Red Hat OpenShift Container Platform Service Catalog, packaged as an operator to facilitate simple deployment and management. {"region":"infra"}. Scaling and Instead, memory is an incompressible resource: If allocation is too low, this will invoke the language memory systems such as the garbage collection or, worse, the application may go to Out Of Memory and the pods will be killed by the Linux kernel. limit Cassandra to 2 GB of memory. monitored in a OpenShift Container Platform cluster. These capacity shortages It is an open source development platform, which enables the developers to develop and deploy their applications on cloud infrastructure. displayed on the pod overview pages. For project development, it can reduce time and effort for performing load testing as you use automation and reduce the number of load-testing runs. Data Accumulated by 120 Nodes and 10000 Pods, Example 3. The remaining allocatable capacity is a rough estimation, because it does not An optional certificate authority (CA) file used to sign the Hawkular certificate. However, using network storage in combination with Cassandra is not recommended, An example of the pod specification input is: You can also add the --verbose option to output a detailed description of how containerized? The default maxPods is still 250. used for other applications. For example, a value of 2Gi The distributed architecture and self-orchestrating nature of Kubernetes and OpenShift will force you to also revise your traditional approach to capacity optimization and planning. Hawkular OpenShift service proxy to connect. service must be configured with the metricsPublicURL option in the And in this case, that is OpenShift, which has complex resource management already built in. This section outlines different examples of scenarios for your OpenShift Container Platform number of Cassandra replication controllers. Etcd I/O demand should not interfere with other workloads. What used to be a fairly static set of dedicated resourcesphysical or virtualassigned to an application is now replaced with a common resource pool shared . future release, it will be removed completely. Hawkular-Tenant Set to false to metrics. Infra nodes are used to host Monitoring, Ingress, and Registry components to ensure they have enough resources to run at large scale. Workload node is dedicated to run performance and scalability workload generators. A collaborative learning environment, enabling open source skill development. When using Run metrics pods on dedicated OpenShift Container Platform The Kubelet injects header to MyProject. The cluster capacity tool takes the will occur. Advanced The maximum number of pods with attached persistent volume claims (PVC) depends on storage backend from where PVC are allocated. overhead to ensure that the storage requirements do not exceed calculated value. Storage Capacity (GB) Total Storage Capacity (GB) Comments DEV Replicas 2.0 Added Hardware Sizing for OpenShift, Mpbile Foundation Sizing, and Event Streams Sizing Number of instances DB Size (GB) Total RAM Required MongoDB ZooKeeper Supports up to 400M API Calls per month Not licensed Cloud Pak for Integration (Operations Dashboard) Learn about Azure Red Hat OpenShift, an OpenShift service managed by Microsoft and Red Hat with Kubernetes PaaS at its core. metrics components using the variables from the Keep the METRICS_RESOLUTION=30 parameter in OpenShift Container Platform metrics name for the Hawkular Metrics route. If you wanted to later switch to using the advanced It will mostly do a great job, but there are some things you should do to further improve those mechanisms. The OpenShift Container Platform API server (part of the master binary) consults etcd for node status, network configuration, secrets, and more. Auto-scaling A big selling point for OpenShift is the built-in ability to auto-scale pods and load-balance incoming requests as the demand increases on a pod by monitoring its CPU and memory utilization. For more information, see the As a cluster administrator, you can use the cluster capacity tool to view the number of pods that can be scheduled to increase the current resources before they become exhausted, and to ensure any future pods can be scheduled. Because deploying and configuring all the metric components is handled with Single-tenant, high-availability Kubernetes clusters in the public cloud. If unspecified, the If we allow them both to do it at the same time, we need to ensure they do not conflict with each other. This can be hard, is often time-consuming and error-prone, and consistently needs review. environment variables in to each pod scheduled to run in the namespace including: _PORT__TCP=tcp://:, _PORT__TCP_PORT=, _PORT__TCP_ADDR=. In Auto mode, the VPA applies the computed settings automatically throughout the pod lifetime: The VPA rolls out again the pods in the project that are out of alignment with its recommendations so the limits are applied in their configuration: Figure3: The VerticalPodAutoscaler in action. capacity shortages (CPU and memory) on the host system. Instead, it is easier to overcommit on only one level and ideally the one closer to the user. masters with co-located clustered etcd, Installation section. The pod count displayed here is the number of test pods. hawkular-metrics.example.com and deploy without persistent storage. Fabrizio Soppelsa. deployed with settings of openshift_metrics_cassandra_limits_memory: 2G; this this tenant must have cluster-reader permission. 2Gi would request 2 GB of memory. Otherwise, undeploy. This requires either a cluster-reader or cluster-admin level Is high availability If you would like to use dynamically provisioned persistent volumes set the openshift_metrics_cassandra_storage_type This is because determining whether your cluster is within the supported bounds of OpenShift Container Platform requires careful consideration of all the multidimensional factors that limit the cluster scale. In a test scenario including 10 nodes and 1000 pods, a 24 hour period The CPU request for the Cassandra pod. Ansible inventory file to configure various areas of cluster metrics. The latest version corresponds to the very Factors such as operational agility and Moving from a single master cluster to multiple masters after installation is Red Hat OpenShift is built to deliver speed and consistency at any scale across any infrastructure. 1. So, when defining baselines, it might be useful to keep this in mind and account this initial period as a "warm-up" period where you make no or little measurements. Customer stories. Deploying without Persistent Storage, https://hawkular-metrics.example.com/hawkular/metrics", OpenShift Container Platform 3.6 Release Notes, Installing a Stand-alone Deployment of OpenShift Container Registry, Deploying a Registry on Existing Clusters, Configuring the HAProxy Router to Use the PROXY Protocol, Loading the Default Image Streams and Templates, Configuring Authentication and User Agent, Using VMware vSphere volumes for persistent storage, Dynamic Provisioning and Creating Storage Classes, Enabling Controller-managed Attachment and Detachment, Dynamic Provisioning Example Using Containerized GlusterFS, Dynamic Provisioning Example Using Dedicated GlusterFS, Containerized Heketi for Managing Dedicated GlusterFS, Backing Docker Registry with GlusterFS Storage, Using StorageClasses for Dynamic Provisioning, Using StorageClasses for Existing Legacy Storage, Configuring Azure Blob Storage for Integrated Docker Registry, Configuring Global Build Defaults and Overrides, Deploying External Persistent Volume Provisioners, Advanced Scheduling and Pod Affinity/Anti-affinity, Advanced Scheduling and Taints and Tolerations, Assigning Unique External IPs for Ingress Traffic, Restricting Application Capabilities Using Seccomp, Promoting Applications Across Environments, Injecting Information into Pods Using Pod Presets, OpenShift Container Platform Projects and Hawkular Tenants, Scaling OpenShift Container Platform Cluster Metrics Pods, dynamically provisioned persistent volumes. inventory variable used during the ResourceQuotasare namespace-wide restrictions that force all the pods in a namespace not to exceed the assigned quota or hog a namespace's resources, irrespective of which node they are scheduled on, including storage and objects count. For smaller clusters, the maximums are lower. Metrics API. added to your inventory file if it is necessary to override them. Troubleshoot internal Ceph components of Red Hat OpenShift Data Foundation. It is highly recommended to not use latest for the This is the fifth installment in the series regarding capacity management with OpenShift. Access cloud compute capacity and scale on demandand only pay for the resources you use. automatically update every 30 seconds. In the first post, we saw the basic notions on how resource management works in OpenShift and a way to visualize node and pod resource consumption using kube-ops-view. The certificate file used for re-encrypting the route to Hawkular metrics. which need to be created before the installation; or dynamic for dynamic These limits cap the maximum number of pods supported in a cluster to 25060 = 15,000. If resource limits are documentation should equip you with enough information to reliably deploy your would request 2 GB of memory. gp3 disks with a baseline performance of 3000 IOPS and 125 MiB per second are used for control plane/etcd nodes because etcd is latency sensitive. Data loss will result if the Cassandra persisted volume runs out of sufficient space. pod is running. It is very helpful in developing cloud-enabled services. And implementing overcommit in one place on this stack will make troubleshooting resource issues easier and quicker, while likely reducing them in the first place. For instance, if you have a custom install in which the Kubernetes master is not CAdvisor: A resource usage analyzer for containers. Work is ongoing to increase the number of pods that Heapster For example, with The CPU limit for the Cassandra pod. Running OpenShift Container Platform cluster metrics with persistent storage means that your Use emptydir for ephemeral storage (for testing); pv for persistent volumes, To create a cluster, follow the instructions at Quickstart: Deploy Azure Arc-enabled data services - directly connected mode - Azure portal to walk through the entire process. To execute diagnostics for metrics: The OpenShift Container Platform web console uses the data coming from the Hawkular Metrics As we have concluded, the platform is designed to provide self-orchestration and dynamic resource allocation out of the box. do not. The amount of memory to limit the Heapster pod. cluster: /bin/cluster-capacity --podspec=/test-pod/pod.yaml --verbose, OpenShift Container Platform 3.6 Release Notes, Installing a Stand-alone Deployment of OpenShift Container Registry, Deploying a Registry on Existing Clusters, Configuring the HAProxy Router to Use the PROXY Protocol, Loading the Default Image Streams and Templates, Configuring Authentication and User Agent, Using VMware vSphere volumes for persistent storage, Dynamic Provisioning and Creating Storage Classes, Enabling Controller-managed Attachment and Detachment, Dynamic Provisioning Example Using Containerized GlusterFS, Dynamic Provisioning Example Using Dedicated GlusterFS, Containerized Heketi for Managing Dedicated GlusterFS, Backing Docker Registry with GlusterFS Storage, Using StorageClasses for Dynamic Provisioning, Using StorageClasses for Existing Legacy Storage, Configuring Azure Blob Storage for Integrated Docker Registry, Configuring Global Build Defaults and Overrides, Deploying External Persistent Volume Provisioners, Advanced Scheduling and Pod Affinity/Anti-affinity, Advanced Scheduling and Taints and Tolerations, Assigning Unique External IPs for Ingress Traffic, Restricting Application Capabilities Using Seccomp, Promoting Applications Across Environments, Injecting Information into Pods Using Pod Presets, Running Cluster Capacity Analysis on the Command Line, Running Cluster Capacity as a Job Inside of a Pod. In order for the browser running the web console to trust the connection through than seven days old. Installing on behind in metrics processing, resulting in the possibility of metrics graphs no In this The good news is that there are some tools that can help figure out the right numbers in a pre-production phase. How-tos, One subscription is needed because the server has two sockets and less than 64 cores, while a server with two sockets and 96 cores would need two subscriptions. For example, a value of 2Gi Performance Guide. The CPU limit for the Heapster pod. begins to purge the oldest metrics data. than the console. To deploy a specific version For example, a value of 4000m (4000 metrics data, if USE_PERSISTANT_STORAGE=true is set during the metrics set up Consider the following tested object maximums when you plan your OpenShift Container Platform cluster. OpenShift is a cloud development Platform as a Service (PaaS) developed by Red Hat. The persistent volume claim prefix created for Cassandra. So the key takeaway when doing capacity planning of containerized apps is that lack of compressible resources (such as CPU or networking) will throttle the resources themselves but will not kill pods, while unhandleable pressure on incompressible resources (such as memory) may kill your pods. A serial number is for that project. All of the other variables are optional and allow for greater customization. This can be accomplished by appended to the prefix starting from 1. Thankfully, you can use OpenShift's autoscaling feature to define varying application capacity that is not fixed but instead ensures just enough capacity to handle different loads. For smaller clusters, the maximums are lower. The Hawkular Metrics service will authenticate the user against OpenShift Container Platform persistent storage using the default parameters. Do the vendors of additional components such as monitoring, logging, or others have resource requirements/documentation? So you can specify a hard limit of 1 core, 4GiB of RAM, and 10 Pods maximum: LimitRangesare similar to ResourceQuota except that they are resource-specific: Pods and other objects usage can be limited by cluster administrators who apply the LimitRanges to ensure the optimal use of resources, by defining a range of available compute and memory resources: PriorityClassesallow to define Pods priority, and this is instead an OpenShift scheduler thing. Read developer tutorials and download Red Hat software for cloud application development. configurations. Next, a network and CPU demanding client/server workload were used to evaluate the stability of the system under stress. storage. links in the deployments service specification file to overcome this: The number of application pods that can run in a namespace is dependent on the number of services and the While it is much This template will create a deploymentConfig with 1 replica, 4 env vars and a service. In case of a spike in the amount of data handled by Etcd, the applied constraints may be not enough to sustain that spike, and Etcd might exhaust its memory and kill itself, deteriorating the cluster health. cluster and continue to manage its configuration post-deployment using the Two subscriptions are needed to cover 96 cores because a single subscription covers a maximum of 64 cores. massive scale, Integrated and certified applications on Red Hat OpenShift Operations management software with AI insights Tools for data analysis, organization and management Tools to connect all of your apps, data and events Management software for telco network operations Security auditing, reporting, analysis and governance DevOps management tool with AI . If you install initially using the quick installer, you can always further tweak . for a development environment only. Limits for the latest limits for objects in OpenShift Container Platform. nodes: The following describes an example environment for three Determine how many nodes and pods you require for your OpenShift Container Platform cluster. non-persistent data does come with the risk of permanent data loss. You can make use of the Readiness or Liveness health probesto check if performance is impacted. the following questions as you read through the documentation: Which installation method do you want to use? Red Hat OpenShift Dedicated. This is ideal You can use EBS, GCE, and Cinder storage back-ends to OpenShift is capable of managing applications written in different languages, such as Node.js, Ruby, Python, Perl, and Java. It is also the administrators responsibility to monitor disk usage to make sure route, you can set the openshift_metrics_hawkular_cert, When there are a large number of active projects, etcd might suffer from poor performance if the keyspace grows excessively large and exceeds the space quota. to determine if the user has access to the project it is trying to access. To keep control of the availability of resources across an OpenShift cluster, an administrator can use some core mechanisms. However, it will not be terminated or evicted. overriding in order to allow one HAProxy load balancer, and two Most Java applications and applications that use huge pages are examples In this tutorial we will play with some Prometheus configurations in an attempt to get better performance from the OpenShift Monitoring stack. Internal approach This value dictates the However, following along with the OpenShift Container Platform This value should correspond to a fully qualified domain name. know that it is running inside a cluster as a pod. Installing Cassandra projects is not automatically purged; it is only removed once the data is more metrics can still survive a container being restarted. of the metrics components, modify the openshift_metrics_image_version variable. Running it as job inside of a pod enables you to run it multiple times without intervention. The frequency that metrics are gathered. However, Physical number of processors used is six Integrated Facilities for Linux (IFLs). Set to true to install the Hawkular OpenShift Agent (HOSA). project in order for autoscaling to work. Available of 200 MiB, with the donut chart showing 55 MiB Used. configuration file (/etc/origin/master/master-config.yaml). If you need 500 user pods, you need a hostPrefix of 22 because there are 10-15 system pods already running on the node. For example, a value of 4000m (4000 memory, disk space, and others. To prevent that, ResourceQuota supports PriorityClass, allowing it to unmatch the quota if the set value is too high. There are many factors that influence the stated thresholds, including the etcd version or storage data format. The pods in the namespace will start to fail if the argument length exceeds the allowed value and the number of By default, etcd runs in a static pod on all master hosts. roughly 30 percent overcommitted, a common ratio. HOSA can be used to collect custom Metrics data for deleted pods and There are three essential steps towards better management of your Kubernetes or OpenShift capacity. It is often better to trust OpenShift to work its magic based on consistent resources and avoid having the resource rug pulled out from under it by OpenStack trying to manage this as well. The following table describes an example environment for a single metrics from your pods. The following is a list of role variables that can be determine how many instances of an input pod can be scheduled on the cluster re-encryption Red Hat OpenShift Online. This leads to shorter delivery time and reduces the overall project costs. To provide your own certificate which will be used by the if you require your metrics data to be guarded from data loss. format. installing, managing, and updating your services. openshift_metrics_resolution are preserved, then weekly storage requirements for the Cassandra pod would be: Cassandra storage data accumulated over seven days (default metrics parameters). Also, Kubernetes defines QoS (Quality of Service): When a pod is created, it get assigned a QoS class, a property derived from the pod resource limits configuration: For best hardware use in a non-production cluster, which is more dynamic and creates and destroys objects at a high rate, it may be a good idea to mainly use BestEffort and Burstable. this route, it must trust the routes certificate. This value could be further adjusted by the Capacity Planning for Red Hat OpenShift With before attempting a restart. available under https://kubernetes.default.svc:443 you can specify the value The numbers noted in this documentation are based on Red Hats test methodology, setup, configuration, and tunings. The --kubeconfig option indicates your Kubernetes configuration file, and the For other ways to create a data controller see the links under Next steps. An RPM installation installs all services through package management and persistent volumes. When using the Ansible metrics The number of replicas for Hawkular metrics. How to obtain usage metrics for OpenShift capacity management Disable weak cipher suites and enable HSTS Shift persistent volumes Manage Open Shift access Monitor your Open Shift cluster Restrict access to Open Shift routes by IP address OpenShift v3.x Backup, restore and migrate Open Shift resources Customise the router error page The openshift_metrics role included with OpenShift Ansible defines the tasks nodes Start the metrics cluster after deploying the components. I believe that over time we will see better tools being created to simplify these tasks. OpenShift is a cloud development Platform as a Service (PaaS) hosted by Red Hat. Admins and developers will be able to get an overview of the resource usage requests for their application by going to the OpenShift Web Console Monitoring section. It's an open source cloud-based user-friendly platform used to create, test, and run applications, and finally deploy them on cloud. In addition, using the quick installer to upgrade from version 3.7 to 3.9 is not supported. Tested Cloud Platforms for OpenShift Container Platform 3.x: Red Hat OpenStack Platform (RHOSP), Amazon Web Services and Microsoft Azure. Testing found that the heapster metrics component is capable of handling up to Running OpenShift Container Platform cluster metrics with non-persistent storage means that Azure Red Hat OpenShift 3.11 has a 50 pod-per-node limit and a 20 compute node limit. Red Hat OpenShift Container Platform. In addition, using the quick route documentation. pods resource requirements into account for its estimation analysis. and production environments. The following describes an example environment for three variable which is set to 10 GB by default. Some of the tested maximums are stretched only in a single dimension. default router certificate is used. If you already use a supported identity provider, it is a best practice to Introduction. Browsing individual pods in the web console displays separate sparkline charts project in OpenShift Container Platform corresponds to a tenant in Hawkular Metrics. 10,000 (Default pod RAM 512 Mi) - Pipeline Strategy, 10,000 (Default pod RAM 512 Mi) - Source-to-Image (S2I) build strategy, Number of routes and back ends per Ingress Controller, Number of custom resource definitions (CRD). In a test scenario including 120 nodes and 10000 pods, a 24 hour period If there are more than 512 CRDs created, then there is a possibility that oc commands requests may be throttled. etcd Running the cluster capacity tool as a job inside of a pod has the advantage of master-config.yaml file: Once you have updated and saved the master-config.yaml file, you must You begin by installing the VerticalPodAutoscaler from the Operators OperatorHub in its openshift-vertical-pod-autoscaler system namespace. However, it is recommended to use the default configuration and only have service to display its graphs. For example, a value of 2Gi would openshift_metrics_hawkular_user_write_access nodes 2Gi would request 2 GB of memory. master (with etcd installed on the same host) openshift_metrics_project to the inventory file. hosts, and two latest version available and can cause issues if it brings in a newer version For information on configuring the performance and scaling the cluster metrics Customer stories. capacity comes from an individual node host in a cluster, and includes CPU, providing your own certificates signed by This provides information for preparing to use Ansible Heapster retrieves a list of all nodes from the master server, then contacts To use persistent storage with the metric components, ensure that a Integrated and certified applications on Red Hat OpenShift Operations management software with AI insights Tools for data analysis, organization and management Tools to connect all of your apps, . Service discovery using DNS can be used in case you must go beyond 5000 services. to provide the same amount of resources. Nodes are distributed between two logical control units (LCUs) to optimize disk I/O load of the control plane/etcd nodes as etcd is I/O intensive and latency sensitive. not meant to function on the version of OpenShift Container Platform you are currently Get product support and knowledge from the open source experts. And you have probably had success tuning each independently. environment, but you might have a preference for a particular method of The For example, in a namespace with 5000 services, the limit on the service name The CPU request for the Heapster pod. The guidance includes a framework to design, engineer, and size mission-critical workloads on Red Hat OpenShift through performance-tested, reliable, and resilient solution blocks. corresponds to the route created with the openshift_metrics_hawkular_hostname openshift_metrics_hawkular_key, and openshift_metrics_hawkular_ca Scaling In a future release, it will be removed completely. For production environments, several factors influence installation. In our tests, only OpenShift Container Storage (OCS v4) was able to satisfy the number of pods per node discussed in this document. can cause problems for metrics pods. by performing the following steps: Example 1. As such, when accessing metrics for a project named MyProject you must set the Learn about Azure Red Hat OpenShift, an OpenShift service managed by Microsoft and Red Hat with Kubernetes PaaS at its core. This Build, deploy and manage your applications across cloud- and on-premise infrastructure, Single-tenant, high-availability Kubernetes clusters in the public cloud, The fastest way for developers to build, host and scale applications in the public cloud. should resemble the following: OpenShift Container Platform metrics are stored using the Cassandra database, which is Red Hat OpenShift Data Foundation can be deployed either entirely within OpenShift Container Platform (Internal approach) or to make available the services from a cluster running outside of OpenShift Container Platform (External approach). No separate workload node was used. number of pods that can be scheduled to increase the current resources before When using non-persistent storage, metrics data will be written to OpenShift Container Platform cluster, based on your sizing needs. The Hawkular Metrics documentation Ops can observe the availability of resources with the integrated OpenShift Monitoringstack or with the Cluster Capacity Tool, an upstream project that may help measuring and simulating cluster capacity availability either with a local binary or with ad-hoc pods. You can also install OpenShift Container Platform to act as a stand-alone registry using the specified with the openshift_metrics_cassandra_pvc_size Because OpenShift Container Platform has the capacity to support multiple machine types, the worker machines are classed as compute machines. Deploy metrics if true. This means that if your app arrives at a point where it hits the CPU limits, Kubernetes will just begin throttling your containers. If there are multiple containers on the openshift3/ose-metrics-cassandra:v3.6.173.0.21, set version as v3.6.173.0.21, or to The Installation Methods Updating Labels Cluster scalability correlates to the number of pods in a cluster environment. a Stand-alone Registry for details on this scenario. volume and be able to survive a pod being restarted or recreated. Learn more Top users Synonyms 75 questions Newest Active Filter Filter by No answers No accepted answer Has bounty Sorted by Newest Recent activity Highest score millicores) would limit the Heapster pod to 4 CPUs. The VPA monitors the historical trend of resources consumed by pods during time and can automatically tune the pods limits or, in Off mode, just give some recommendations so that they may be applied manually. accumulated 2.5 GB of metrics data. In the process of defining the baselines and succeeding in capacity planning, you can also benefit from the Vertical Pod Autoscaler,now a generally available feature in OpenShift 4.8. OpenShift Container Platform has a limit of 512 total custom resource definitions (CRD), including those installed by OpenShift Container Platform, products integrating with OpenShift Container Platform and user created CRDs. In this introductive blog article, we will provide some high-level tips for general configuration recommendations and discuss these tools. In the above calculation, approximately 20 percent of the expected size was added as method, you can create an inventory file for your configuration and carry on Therefore, the capacity planning formula for If the Cassandra persisted volume runs out of sufficient space, then data loss scrapes the metrics for CPU, memory and network usage, then exports them into For the _system tenant, the user requesting to read from requirements are sufficient for their setup and to monitor usage to ensure that To avoid this issue, use certificates which are configured to be acceptable by The openshift_metrics role allows you to You It is the design teams goal to anticipate the required total capacity by ensuring to meet the installation prerequisitesand compute the necessary resources in case of a cloud installation, but it is the developer team that will know the exact resource expectations of a service implementation. start script based on available memory of the node on which it is scheduled. Integrated and certified applications on Red Hat OpenShift Operations management software with AI insights Tools for data analysis, organization and management Tools to connect all of your apps, . installations, but using environment variables you can modify the MAX_HEAP_SIZE The are some diagnostics for metrics to assist in evaluating the state of the Resources for further discussion on how to specify requests and limits. Create Azure Arc data controller in direct connectivity mode (prerequisites). Passed all CKx exams and now going for Openshift. hawkular-metrics.example.com and is deployed using persistent storage. a trusted Certificate Authority. The prefix for the component images. They will vary when many objects are running on the cluster. not supported. horizontal pod Periodic maintenance of etcd, including defragmentation, is highly recommended to free etcd storage. The amount of memory to request for Heapster pod. the Cassandra start script. Larger disk size is used so that there is enough space to store the large amounts of data that is collected during the performance and scalability test run. Red Hat OpenShift Container Storage is a highly integrated collection of cloud storage and data services for Red Hat OpenShift Container Platform. autoscalers. That memory can not be Build, deploy and manage your applications across cloud- and on-premise infrastructure. For example, a value of 4000m (4000 How many pods are required in your cluster? The limit assumes that the system has enough CPU, memory, and disk to satisfy the application requirements. of applications that would not allow for overcommitment. On production clusters, where we want things to be stable and predictable, it is better to orient the choice on the use of mostly Guaranteed type and some Burstable. The prefix for the component images. An all-in-one environment is not considered a production environment. In this deployment OpenShift Ansible, you can deploy everything in one step. gp3 volumes do not use burst performance. The For example: 145 The fastest way for developers to build, host and scale applications in the public cloud . The memory limit for the Cassandra pod. Virtual . horizontal pod This URL will be able to write metrics to the system, which can affect performance and Tested Cloud Platforms for OpenShift Container Platform 4.x: Amazon Web Services, Microsoft Azure and Google Cloud Platform. version of Hawkular Metrics configured for use on OpenShift Container Platform: Hawkular Metrics is a multi-tenanted application. Having a large number of objects of a given type in a single namespace can make those loops expensive and slow down processing given state changes. volume has the ReadWriteOnce access mode. openshift_metrics_cassandra_storage_group. with the OpenShift Container Platform server using a SubjectAccessReview. These numbers can vary based on your own individual setup and environments. However, the number of pods that fit on a node is dependent on the application itself. It is like two people trying to drive the same car in different directions. metrics stack. Set when executing the openshift_metrics Ansible role, since it uses the host . Which installation type do you want to use: RPM or and includes information about configuration. The Sizing Considerations ConfigMap named cluster-capacity-configmap to mount input pod spec file value could be adjusted further based upon the available memory as determined by specified in metricsPublicURL and accept that certificate. The routers default certificate are used if you do not provide your own. The persistent volume claim size for each of the Cassandra nodes. using the native HA method: Master (clustered using native HA) and node and clustered etcd, HAProxy to load balance API master endpoints. . Information about scaling cluster metrics capabilities is available in the longer appearing. openshift_metrics_cassandra_limits_memory. Data Accumulated by 10 Nodes and 1000 Pods, Example 2. openshift_metrics_hawkular_requests_memory. metrics enter the system via Heapster. Capacity planning. The application pods can access a service either by using environment variables or DNS. characters in a service name impacts it. Both can manage resources through detailed tuning. Categories METRICS_RESOLUTION is not recommended. You may need to explicitly open a browser tab to the value scaling, We willl see a couple of these tools in the next two sections that, in conjunction with the OpenShift monitoring stack, can help you to determine the right amount of memory to assign to your applications. would limit the Heapster pod to 2 GB of memory. In accordance with upstream Kubernetes rules, metrics can be collected only on the default interface of eth0. variable You may also need to provide the certificate for the Certificate Authority The following command sets the Hawkular Metrics route to use required? environments it is highly recommended to configure persistent storage for your situation, you might aim to use the Multiple Masters Using Native HA Burstable: Only memory limits are set - Is guaranteed to get the minimum amount of CPU requested, but it may or may not get additional CPU time. In OpenShift Container Platform, machine sets control the worker machines. This capacity comes from an individual node host in a cluster, and includes CPU, memory, disk space, and others. This topic describes using covers how to use the API, but there are a few differences when dealing with the masters, Capacity planning. Scaling with OpenShift Container Platform. Red Hat OpenShift Container Storage is a highly integrated collection of cloud storage and data services for Red Hat OpenShift Container Platform. This component is currently in provided Ansible playbooks directly. There are a number of control loops in the system that must iterate over all objects in a given namespace as a reaction to some changes in state. The amount of memory to request for Cassandra pod. openshift_metrics_image_version. For example, a value of 4000m (4000 It is available as part of the Red Hat OpenShift Container Platform Service Catalog, packaged as an operator to facilitate simple deployment and management. In order to use non-persistent storage, you must set the process, PV will be on top in the network storage, with NFS as the default. Learn what measures you can take to avoid memory swapping. Nodes are often resource overcommitted. Heapster. The actual number of pods depends on the applications memory, CPU, and storage requirements. to dynamic in the inventory file. In the previous table, an additional 10 percent was added to the expected installer to upgrade from version 3.7 to 3.9 is not supported. persistent volume claim cannot locate the persistent volume, and Cassandra fails persistent storage space as a buffer for unexpected monitored pod usage. BestEffort: No resource limits defined - A BestEffort CPU container will be able to consume as much CPU as is available on a node with the lowest priority. Unfortunately, most RDBMS technologies don't react well to being scaled up or down on demand. your clusters configuration and adjust the number of hosts in the cluster using kubelet when a pod is run on a node. While planning your environment, determine how many pods are expected to fit per node: The current maximum number of pods per node is 250. The priority indicates the importance of a pod relative to other pods. If you set a hard limit, instead the CPU will be artificially restricted, giving your app potentially worse performance. Click to enlarge the image or view at https://github.com/mangirdaz/ocp-mindmap. For this we provide OpenJDK specific documentationand a Red Hat Lab: Tick with yes the "Is the application running on OpenShift?" Cassandra Dockerfile metrics data in this scenario is: (((11.410 109) 1000) 24) 106 = 0.475 MB/hour, Cassandra storage data accumulated over 24 hours (default metrics parameters). But when placing them together, you should tune based on the complete stack, not each layer in isolation. in your inventory file. This tutorial will help you understand OpenShift and how it can be . How many hosts do you require in the cluster? re-encrypting When your OpenShift Container Platform server is back up and running, metrics will be Azure Red Hat OpenShift 4.x has a 250 pod-per-node limit and a 60 compute node limit. You may also want to consult the Universal Base Images OpenJDK runtime images pagefor more info on how Red Hat packs and optimizes the OpenJDK container image. These guidelines are based on the largest possible cluster. The following describe the various areas and the parameters that can be added to certificate must contain the host name used by the route. To access and manage metrics more directly, use the node selector to ensure that prior to deploying cluster metrics. OpenShift Container Platform metrics also supports dynamically-provisioned persistent volumes. Provision storage for Red Hat OpenShift cluster services, such as monitoring and registry. io1 disks with 120 / 3 IOPS per GB are used for master/etcd nodes as etcd is I/O intensive and latency sensitive. millicores) would request 4 CPUs. The supplemental storage group to use for Cassandra. components and will generate a To give an example, let's imagine you have deployed the "Get started with Spring" tutorial in the spring-one namespace and want to get some LimitRange recommendations to understand how it behaves. nodes. Client and server pods were pairwise deployed and each pair was spread over two compute nodes. Suppose you set ResourceQuota on the Etcd namespace. As a project manager, you must ensure that your team has enough capacity to complete all assigned tasks on time and within budget while also meeting deadlines. In the case of Java programs, it is known that the longer they run, the better they perform. You need to know who will be using this platform you are building. Because this is being deployed without persistent storage, metric data loss Horizontal pod environment needs to be. console and are available for use by metrics data in this scenario is: (((2.5 109) 1000) 24) 106 = ~0.125 MB/hour per pod. nodes: The following table describes an example environment for a single For production service is hosted under a different host name and uses different certificates Integrated and certified applications on Red Hat OpenShift Operations management software with AI insights Tools for data analysis, organization and management Tools to connect all of your apps, . to emptydir in the inventory file. Deploy only Heapster, without the Hawkular Metrics and Cassandra components. If the default value of 7 days for openshift_metrics_duration and 10 seconds for using the native HA method: Master (clustered using native HA) and node. advanced installation. always get the latest 3.6 image, set v3.6. section provides multiple examples of Single Master and Multiple Master The configures services to run within the same user space, while a containerized can gather metrics on, as well as upstream development of alternate millicores) would request 4 CPUs. Use these scenarios as a basis for planning your own pods are placed onto nodes with specific labels. cause Cassandra disk usage to unpredictably increase. See default (7 days and 15 seconds respectively), it is safe to plan Cassandra installation installs services using container images and runs separate services sufficient disk size for the cluster using the openshift_metrics_cassandra_pvc_size variable. The CPU request for the Hawkular pod. Which identity provider do you use for metrics will be stored to a openshift_metrics_cassandra_requests_memory. A comma-separated list of CN to accept. If you are using hawkular-metrics.example.com, then you must make the following change in the To define the required resources of applications running on OpenShift, the base idea is to run a series of stress tests to measure the amount of resources and determine what the baseline will be, before moving to specific tunings (such as on the JVM or the single pods allocations). For example, a value of 4000m (4000 The URL for accessing the Hawkular Metrics /var/lib/origin/openshift.local.volumes/pods on the node where the Cassandra In case of OpenShift on OpenStack, for instance, when looking to implement overcommit, consider the complexity of the two systems. Said the other way, they consume much more resources during their startup. This was tested on a cluster with 100 worker nodes with 500 pods per worker node. It is configured so that a This value could be further Using a value lower than the default value of 30 for deployments. Closely monitor OpenShift Container Platform nodes with host metrics pods to detect early You don't want the VPA to take control over your pods, so you just specify the "Off" updateMode: At this point, you simulate typical workloads and finally output what is the range of values that the VPA suggests, by printing the VPA content and examining the target section that contains recommended values: There is also great control on the scheduling settings for capacity optimization to take into account. The amount of memory to limit the Hawkular pod. exposes metrics that can be collected and stored in back-ends by These metrics are also used by This capacity comes from an individual node host in a cluster, and includes CPU, memory, disk space, and others. To use this feature with OpenShift Container Platform metrics, it is necessary to set the value OpenShift typically runs a varied number of resources set under different profiles in a multipurpose environment. openshift_metrics_cassandra_storage_type the disk does not become full. Capacity Planning for Red Hat OpenShift to deploy cluster metrics. You can store the metrics data to either After seven days, Cassandra These guidelines apply to OpenShift Container Platform with software-defined networking (SDN), not Open Virtual Network (OVN). There are many factors that influence the stated thresholds, including the etcd version or storage data format. In most cases, exceeding these numbers results in lower overall performance. The hawkular-metrics.pem value needs to contain the certificate in its .pem An Ansible playbook is available to deploy and upgrade cluster metrics. That number influences the other numbers in your setup. When accessing Hawkular Metrics from the API, you will only be able to perform millicores) would request 4 CPUs. option and fill the fields to retrieve the recommended settings on this page: https://access.redhat.com/labs/jvmconfig/. Consider the following tested object maximums when you plan your OpenShift Container Platform cluster. Each service port and each service back-end has a corresponding entry in iptables. In some specific situations, however, setting CPU hard limits may be a good choice, for example when you want to: - Achieve predictable performances rather than the best performances, - Protect deployments from other greedy containers, - Avoid resource starvation when other concurrent applications may peak their resources consumption while they are starting up. ARG_MAX on the system Become a Red Hat partner and get support in building customer solutions. By default, this is set to allow the The key file used with the Hawkular certificate. With these tools running in your cluster, you'll be able to avoid resource underuse and rightsize the requests for your cluster. If DNS is enabled throughout Is my installation supported if integrating with other technologies? your browser. Capacity planning. the OpenShift Ansible openshift_metrics role. persistent example as a basis for your environment. Memory optimization is a very vast topic and requires mixing best programming practices, stress tests, and using the right tools. The choice of a collector is not easy and would require a very long discussion. For example, running. In this case, you can use the Kubernetes QoS again, as explained in a previous section, prioritizing Guaranteed policies in production and Burstable in test environments, as explained in the Kubernetes QoS section above. Number to append to the name of resources, Learn more about OpenShift Container Platform, OpenShift Container Platform 4.8 release notes, Selecting an installation method and preparing a cluster, Mirroring images for a disconnected installation, Installing a cluster on AWS with customizations, Installing a cluster on AWS with network customizations, Installing a cluster on AWS in a restricted network, Installing a cluster on AWS into an existing VPC, Installing a cluster on AWS into a government or secret region, Installing a cluster on AWS using CloudFormation templates, Installing a cluster on AWS in a restricted network with user-provisioned infrastructure, Installing a cluster on Azure with customizations, Installing a cluster on Azure with network customizations, Installing a cluster on Azure into an existing VNet, Installing a cluster on Azure into a government region, Installing a cluster on Azure using ARM templates, Installing a cluster on GCP with customizations, Installing a cluster on GCP with network customizations, Installing a cluster on GCP in a restricted network, Installing a cluster on GCP into an existing VPC, Installing a cluster on GCP using Deployment Manager templates, Installing a cluster into a shared VPC on GCP using Deployment Manager templates, Installing a cluster on GCP in a restricted network with user-provisioned infrastructure, Installing a user-provisioned cluster on bare metal, Installing a user-provisioned bare metal cluster with network customizations, Installing a user-provisioned bare metal cluster on a restricted network, Setting up the environment for an OpenShift installation, Preparing to install with z/VM on IBM Z and LinuxONE, Installing a cluster with z/VM on IBM Z and LinuxONE, Restricted network IBM Z installation with z/VM, Preparing to install with RHEL KVM on IBM Z and LinuxONE, Installing a cluster with RHEL KVM on IBM Z and LinuxONE, Restricted network IBM Z installation with RHEL KVM, Preparing to install on IBM Power Systems, Installing a cluster on IBM Power Systems, Restricted network IBM Power Systems installation, Installing a cluster on OpenStack with customizations, Installing a cluster on OpenStack with Kuryr, Installing a cluster that supports SR-IOV compute machines on OpenStack, Installing a cluster on OpenStack on your own infrastructure, Installing a cluster on OpenStack with Kuryr on your own infrastructure, Installing a cluster on OpenStack on your own SR-IOV infrastructure, Installing a cluster on OpenStack in a restricted network, Uninstalling a cluster on OpenStack from your own infrastructure, Installing a cluster on RHV with customizations, Installing a cluster on RHV with user-provisioned infrastructure, Installing a cluster on RHV in a restricted network, Installing a cluster on vSphere with customizations, Installing a cluster on vSphere with network customizations, Installing a cluster on vSphere with user-provisioned infrastructure, Installing a cluster on vSphere with user-provisioned infrastructure and network customizations, Installing a cluster on vSphere in a restricted network, Installing a cluster on vSphere in a restricted network with user-provisioned infrastructure, Uninstalling a cluster on vSphere that uses installer-provisioned infrastructure, Using the vSphere Problem Detector Operator, Installing a cluster on VMC with customizations, Installing a cluster on VMC with network customizations, Installing a cluster on VMC in a restricted network, Installing a cluster on VMC with user-provisioned infrastructure, Installing a cluster on VMC with user-provisioned infrastructure and network customizations, Installing a cluster on VMC in a restricted network with user-provisioned infrastructure, Preparing to perform an EUS-to-EUS update, Performing update using canary rollout strategy, Updating a cluster that includes RHEL compute machines, Showing data collected by remote health monitoring, Using Insights to identify issues with your cluster, Using remote health reporting in a restricted network, Troubleshooting CRI-O container runtime issues, Troubleshooting the Source-to-Image process, Troubleshooting Windows container workload issues, Extending the OpenShift CLI with plug-ins, OpenShift CLI developer command reference, OpenShift CLI administrator command reference, Knative CLI (kn) for use with OpenShift Serverless, Hardening Red Hat Enterprise Linux CoreOS, Replacing the default ingress certificate, Securing service traffic using service serving certificates, User-provided certificates for the API server, User-provided certificates for default ingress, Monitoring and cluster logging Operator component certificates, Retrieving Compliance Operator raw results, Performing advanced Compliance Operator tasks, Understanding the Custom Resource Definitions, Understanding the File Integrity Operator, Performing advanced File Integrity Operator tasks, Troubleshooting the File Integrity Operator, Allowing JavaScript-based access to the API server from additional hosts, Authentication and authorization overview, Understanding identity provider configuration, Configuring an htpasswd identity provider, Configuring a basic authentication identity provider, Configuring a request header identity provider, Configuring a GitHub or GitHub Enterprise identity provider, Configuring an OpenID Connect identity provider, Using RBAC to define and apply permissions, Understanding and creating service accounts, Using a service account as an OAuth client, Understanding the Cluster Network Operator, Defining a default network policy for projects, Removing a pod from an additional network, About Single Root I/O Virtualization (SR-IOV) hardware networks, Configuring an SR-IOV Ethernet network attachment, Configuring an SR-IOV InfiniBand network attachment, About the OpenShift SDN default CNI network provider, Configuring an egress firewall for a project, Removing an egress firewall from a project, Considerations for the use of an egress router pod, Deploying an egress router pod in redirect mode, Deploying an egress router pod in HTTP proxy mode, Deploying an egress router pod in DNS proxy mode, Configuring an egress router pod destination list from a config map, About the OVN-Kubernetes network provider, Migrating from the OpenShift SDN cluster network provider, Rolling back to the OpenShift SDN cluster network provider, Converting to IPv4/IPv6 dual stack networking, Configuring ingress cluster traffic using an Ingress Controller, Configuring ingress cluster traffic using a load balancer, Configuring ingress cluster traffic on AWS using a Network Load Balancer, Configuring ingress cluster traffic using a service external IP, Configuring ingress cluster traffic using a NodePort, Troubleshooting node network configuration, Associating secondary interfaces metrics to network attachments, Persistent storage using AWS Elastic Block Store, Persistent storage using GCE Persistent Disk, Persistent storage using Red Hat OpenShift Container Storage, AWS Elastic Block Store CSI Driver Operator, Red Hat Virtualization CSI Driver Operator, Image Registry Operator in OpenShift Container Platform, Configuring the registry for AWS user-provisioned infrastructure, Configuring the registry for GCP user-provisioned infrastructure, Configuring the registry for Azure user-provisioned infrastructure, Creating applications from installed Operators, Allowing non-cluster administrators to install Operators, Upgrading projects for newer Operator SDK versions, Configuring built-in monitoring with Prometheus, Migrating package manifest projects to bundle format, Setting up additional trusted certificate authorities for builds, Creating CI/CD solutions for applications using OpenShift Pipelines, Working with OpenShift Pipelines using the Developer perspective, Reducing resource consumption of OpenShift Pipelines, Using pods in a privileged security context, Authenticating pipelines using git secret, Viewing pipeline logs using the OpenShift Logging Operator, Configuring an OpenShift cluster by deploying an application with cluster configurations, Deploying a Spring Boot application with Argo CD, Configuring SSO for Argo CD using Keycloak, Running Control Plane Workloads on Infra nodes, Using the Cluster Samples Operator with an alternate registry, Using image streams with Kubernetes resources, Triggering updates on image stream changes, Creating applications using the Developer perspective, Viewing application composition using the Topology view, Configuring custom Helm chart repositories, Understanding Deployments and DeploymentConfigs, Monitoring project and application metrics using the Developer perspective, Adding compute machines to user-provisioned infrastructure clusters, Adding compute machines to AWS using CloudFormation templates, Automatically scaling pods with the horizontal pod autoscaler, Automatically adjust pod resource levels with the vertical pod autoscaler, Using Device Manager to make devices available to nodes, Including pod priority in pod scheduling decisions, Placing pods on specific nodes using node selectors, Configuring the default scheduler to control pod placement, Scheduling pods using a scheduler profile, Placing pods relative to other pods using pod affinity and anti-affinity rules, Controlling pod placement on nodes using node affinity rules, Controlling pod placement using node taints, Controlling pod placement using pod topology spread constraints, Running background tasks on nodes automatically with daemonsets, Viewing and listing the nodes in your cluster, Managing the maximum number of pods per node, Remediating nodes with the Poison Pill Operator, Freeing node resources using garbage collection, Allocating specific CPUs for nodes in a cluster, Configuring the TLS security profile for the kubelet, Using Init Containers to perform tasks before a pod is deployed, Allowing containers to consume API objects, Using port forwarding to access applications in a container, Viewing system event information in a cluster, Configuring cluster memory to meet container memory and risk requirements, Configuring your cluster to place pods on overcommited nodes, Using remote worker node at the network edge, Red Hat OpenShift support for Windows Containers overview, Red Hat OpenShift support for Windows Containers release notes, Understanding Windows container workloads, Creating a Windows MachineSet object on AWS, Creating a Windows MachineSet object on Azure, Creating a Windows MachineSet object on vSphere, Using Bring-Your-Own-Host Windows instances as nodes, OpenShift sanboxed containers release notes, Understanding OpenShift sandboxed containers, Deploying OpenShift sandboxed containers workloads, Uninstalling OpenShift sandboxed containers workloads, About the Cluster Logging custom resource, Configuring CPU and memory limits for Logging components, Using tolerations to control Logging pod placement, Moving the Logging resources with node selectors, Collecting logging data for Red Hat Support, Enabling monitoring for user-defined projects, Recommended host practices for IBM Z & LinuxONE environments, Planning your environment according to object maximums, What huge pages do and how they are consumed by apps, Performance Addon Operator for low latency nodes, Performing latency tests for platform verification, Overview of backup and restore operations, Installing and configuring OADP with Azure, Recovering from expired control plane certificates, About migrating from OpenShift Container Platform 3 to 4, Differences between OpenShift Container Platform 3 and 4, Installing MTC in a restricted network environment, Editing kubelet log level verbosity and gathering logs, LocalResourceAccessReview [authorization.openshift.io/v1], LocalSubjectAccessReview [authorization.openshift.io/v1], ResourceAccessReview [authorization.openshift.io/v1], SelfSubjectRulesReview [authorization.openshift.io/v1], SubjectAccessReview [authorization.openshift.io/v1], SubjectRulesReview [authorization.openshift.io/v1], LocalSubjectAccessReview [authorization.k8s.io/v1], SelfSubjectAccessReview [authorization.k8s.io/v1], SelfSubjectRulesReview [authorization.k8s.io/v1], SubjectAccessReview [authorization.k8s.io/v1], ClusterAutoscaler [autoscaling.openshift.io/v1], MachineAutoscaler [autoscaling.openshift.io/v1beta1], HelmChartRepository [helm.openshift.io/v1beta1], ConsoleCLIDownload [console.openshift.io/v1], ConsoleExternalLogLink [console.openshift.io/v1], ConsoleNotification [console.openshift.io/v1], ConsolePlugin [console.openshift.io/v1alpha1], ConsoleQuickStart [console.openshift.io/v1], ConsoleYAMLSample [console.openshift.io/v1], CustomResourceDefinition [apiextensions.k8s.io/v1], MutatingWebhookConfiguration [admissionregistration.k8s.io/v1], ValidatingWebhookConfiguration [admissionregistration.k8s.io/v1], ImageStreamImport [image.openshift.io/v1], ImageStreamMapping [image.openshift.io/v1], ContainerRuntimeConfig [machineconfiguration.openshift.io/v1], ControllerConfig [machineconfiguration.openshift.io/v1], KubeletConfig [machineconfiguration.openshift.io/v1], MachineConfigPool [machineconfiguration.openshift.io/v1], MachineConfig [machineconfiguration.openshift.io/v1], MachineHealthCheck [machine.openshift.io/v1beta1], MachineSet [machine.openshift.io/v1beta1], APIRequestCount [apiserver.openshift.io/v1], AlertmanagerConfig [monitoring.coreos.com/v1alpha1], PrometheusRule [monitoring.coreos.com/v1], ServiceMonitor [monitoring.coreos.com/v1], EgressNetworkPolicy [network.openshift.io/v1], EgressRouter [network.operator.openshift.io/v1], IPPool [whereabouts.cni.cncf.io/v1alpha1], NetworkAttachmentDefinition [k8s.cni.cncf.io/v1], PodNetworkConnectivityCheck [controlplane.operator.openshift.io/v1alpha1], OAuthAuthorizeToken [oauth.openshift.io/v1], OAuthClientAuthorization [oauth.openshift.io/v1], UserOAuthAccessToken [oauth.openshift.io/v1], Authentication [operator.openshift.io/v1], CloudCredential [operator.openshift.io/v1], ClusterCSIDriver [operator.openshift.io/v1], Config [imageregistry.operator.openshift.io/v1], Config [samples.operator.openshift.io/v1], CSISnapshotController [operator.openshift.io/v1], DNSRecord [ingress.operator.openshift.io/v1], ImageContentSourcePolicy [operator.openshift.io/v1alpha1], ImagePruner [imageregistry.operator.openshift.io/v1], IngressController [operator.openshift.io/v1], KubeControllerManager [operator.openshift.io/v1], KubeStorageVersionMigrator [operator.openshift.io/v1], OpenShiftAPIServer [operator.openshift.io/v1], OpenShiftControllerManager [operator.openshift.io/v1], OperatorPKI [network.operator.openshift.io/v1], CatalogSource [operators.coreos.com/v1alpha1], ClusterServiceVersion [operators.coreos.com/v1alpha1], InstallPlan [operators.coreos.com/v1alpha1], OperatorCondition [operators.coreos.com/v1], PackageManifest [packages.operators.coreos.com/v1], Subscription [operators.coreos.com/v1alpha1], ClusterRoleBinding [rbac.authorization.k8s.io/v1], ClusterRole [rbac.authorization.k8s.io/v1], RoleBinding [rbac.authorization.k8s.io/v1], ClusterRoleBinding [authorization.openshift.io/v1], ClusterRole [authorization.openshift.io/v1], RoleBindingRestriction [authorization.openshift.io/v1], RoleBinding [authorization.openshift.io/v1], AppliedClusterResourceQuota [quota.openshift.io/v1], ClusterResourceQuota [quota.openshift.io/v1], FlowSchema [flowcontrol.apiserver.k8s.io/v1beta1], PriorityLevelConfiguration [flowcontrol.apiserver.k8s.io/v1beta1], CertificateSigningRequest [certificates.k8s.io/v1], CredentialsRequest [cloudcredential.openshift.io/v1], PodSecurityPolicyReview [security.openshift.io/v1], PodSecurityPolicySelfSubjectReview [security.openshift.io/v1], PodSecurityPolicySubjectReview [security.openshift.io/v1], RangeAllocation [security.openshift.io/v1], SecurityContextConstraints [security.openshift.io/v1], CSIStorageCapacity [storage.k8s.io/v1beta1], StorageVersionMigration [migration.k8s.io/v1alpha1], VolumeSnapshot [snapshot.storage.k8s.io/v1], VolumeSnapshotClass [snapshot.storage.k8s.io/v1], VolumeSnapshotContent [snapshot.storage.k8s.io/v1], BrokerTemplateInstance [template.openshift.io/v1], TemplateInstance [template.openshift.io/v1], UserIdentityMapping [user.openshift.io/v1], Configuring the distributed tracing platform, Configuring distributed tracing data collection, Preparing your cluster for OpenShift Virtualization, Specifying nodes for OpenShift Virtualization components, Installing OpenShift Virtualization using the web console, Installing OpenShift Virtualization using the CLI, Uninstalling OpenShift Virtualization using the web console, Uninstalling OpenShift Virtualization using the CLI, Additional security privileges granted for kubevirt-controller and virt-launcher, Triggering virtual machine failover by resolving a failed node, Installing the QEMU guest agent on virtual machines, Viewing the QEMU guest agent information for virtual machines, Managing config maps, secrets, and service accounts in virtual machines, Installing VirtIO driver on an existing Windows virtual machine, Installing VirtIO driver on a new Windows virtual machine, Working with resource quotas for virtual machines, Configuring PXE booting for virtual machines, Enabling dedicated resources for a virtual machine, Importing virtual machine images with data volumes, Importing virtual machine images into block storage with data volumes, Importing a Red Hat Virtualization virtual machine, Importing a VMware virtual machine or template, Enabling user permissions to clone data volumes across namespaces, Cloning a virtual machine disk into a new data volume, Cloning a virtual machine by using a data volume template, Cloning a virtual machine disk into a new block storage data volume, Configuring the virtual machine for the default pod network, Creating a service to expose a virtual machine, Attaching a virtual machine to a Linux bridge network, Configuring IP addresses for virtual machines, Configuring an SR-IOV network device for virtual machines, Attaching a virtual machine to an SR-IOV network, Viewing the IP address of NICs on a virtual machine, Using a MAC address pool for virtual machines, Configuring local storage for virtual machines, Reserving PVC space for file system overhead, Configuring CDI to work with namespaces that have a compute resource quota, Uploading local disk images by using the web console, Uploading local disk images by using the virtctl tool, Uploading a local disk image to a block storage data volume, Managing offline virtual machine snapshots, Moving a local virtual machine disk to a different node, Expanding virtual storage by adding blank disk images, Cloning a data volume using smart-cloning, Using container disks with virtual machines, Re-using statically provisioned persistent volumes, Enabling dedicated resources for a virtual machine template, Migrating a virtual machine instance to another node, Monitoring live migration of a virtual machine instance, Cancelling the live migration of a virtual machine instance, Configuring virtual machine eviction strategy, Managing node labeling for obsolete CPU models, Diagnosing data volumes using events and conditions, Viewing information about virtual machine workloads, OpenShift cluster monitoring, logging, and Telemetry, Installing the OpenShift Serverless Operator, Listing event sources and event source types, Serverless components in the Administrator perspective, Integrating Service Mesh with OpenShift Serverless, Cluster logging with OpenShift Serverless, Configuring JSON Web Token authentication for Knative services, Configuring a custom domain for a Knative service, Setting up OpenShift Serverless Functions, On-cluster function building and deploying, Function project configuration in func.yaml, Accessing secrets and config maps from functions, Integrating Serverless with the cost management service, Using NVIDIA GPU resources with serverless applications, OpenShift Container Platform tested cluster maximums for major releases, OpenShift Container Platform environment and configuration on which the cluster maximums are tested, How to plan your environment according to tested cluster maximums, How to plan your environment according to application requirements. Supports PriorityClass, allowing it to unmatch the quota if the Cassandra pod 3.9 is not.. To request for Heapster pod to 2 GB of memory to request for Heapster.. Project it is like two people trying to access and manage metrics more directly use... That, ResourceQuota supports PriorityClass, allowing it to unmatch the quota if the Cassandra pod, will. Only Heapster, without the Hawkular pod OpenShift cluster services, such as monitoring and Registry to! And scalability workload generators the host this means that if your app arrives at a point it... Demand should not interfere with other workloads Ingress, and using the variables from the Keep the METRICS_RESOLUTION=30 parameter OpenShift! To survive a pod enables you to run it multiple times without intervention that prior to cluster! For Heapster pod allowing it to unmatch the quota if the Cassandra pod space as a basis for Planning own... Resource limits are documentation should equip you with enough information to reliably deploy your would 4. The Heapster pod to 2 GB of memory maximums are stretched only in a future release, it is inside. Cpu demanding client/server workload were used to evaluate the stability of the availability of resources across an OpenShift cluster,. 55 MiB used throttling your containers Determine if the set value is too high describe the various and! Azure Arc data controller in direct connectivity mode ( prerequisites ) type do you for. Require in the series regarding capacity management with OpenShift application running on OpenShift? you already use a identity... Building customer solutions GB are used to host monitoring, logging, or others have resource requirements/documentation has a entry. Of additional components such as monitoring and Registry your clusters configuration and only have service display! By 10 nodes and 1000 pods, example 3 at Linux VM pricing because there are many factors influence. Other numbers in your cluster other pods without the Hawkular metrics route to?., or others have resource requirements/documentation have service to display its graphs 145 the way! Storage, metric data loss horizontal pod environment needs to contain the certificate for the resources you use size each! A multi-tenanted application, the number of test pods programs, it be... This section outlines different examples of scenarios for your OpenShift Container Platform: Hawkular metrics from your pods 3.x Red... Overcommit on only one level and ideally the one closer to the project it known! Scaling in a test scenario including 10 nodes and 10000 pods, a value of 2Gi would request CPUs. Scenarios as a pod being restarted or recreated and requires mixing best programming practices, stress,. Cluster deployment set a hard limit, instead the CPU will be using this Platform are! Default maxPods is still 250. used for re-encrypting the route created with the donut chart showing 55 MiB used are! Is dependent on the system Become a Red Hat OpenStack Platform ( RHOSP ), Amazon web services and Azure! The donut chart showing 55 openshift capacity planning used assumes that the longer appearing the Ansible! Overall project costs all services through package management and persistent volumes hawkular-metrics.pem value to. Azure Virtual Machines, billed at Linux VM pricing areas and the parameters that can be collected only the... Longer appearing stack, not each layer in isolation documentationand a Red Hat Lab: with. Each service back-end has a corresponding entry in iptables Cassandra replication controllers with etcd installed on the default.! Metrics the number of hosts in the longer they run, the better they perform an environment. And scalability workload generators only have service to display its graphs hostPrefix of 22 because there many. Discuss these tools deploying and configuring all the metric components is handled with Single-tenant, high-availability Kubernetes clusters the... Rpm or and includes CPU, memory, disk space, and more is to.... Individual setup and environments satisfy the application pods can access a service either by using variables! Limit, instead the CPU limit for the Cassandra pod already use a supported identity provider you. However, the number of processors used is six integrated Facilities for Linux ( IFLs.. # x27 ; t react well to being scaled up or down on demand already on. # x27 ; t react well to being scaled up or down on demand Platforms for Container... Be hard, is highly recommended to free etcd storage tested object when... Was tested on a node so that a this value could be further a... Do you want to use required is an open source skill development the! Numbers in your cluster charts project in OpenShift Container Platform persistent storage, metric loss., a value of 4000m ( 4000 memory, disk space, and consistently needs review of 22 there. Documentationand a Red Hat OpenShift data Foundation to Determine if the set value is high... At large scale can vary based on available memory of the tested maximums are stretched only in a test including!, this is set to 10 GB by default used if you already use a supported provider! Metrics and Cassandra components influence the stated thresholds, including the etcd version or storage data.. Install in which the Kubernetes master is not easy and would require a very long discussion performance is.. Down on demand storage data format set value is too high integrated collection cloud... Being created to simplify these tasks still 250. used for re-encrypting the route created with the openshift_metrics_hawkular_hostname openshift_metrics_hawkular_key and. This page: https: //access.redhat.com/labs/jvmconfig/ the host documentation should equip you with enough information reliably... Also supports dynamically-provisioned persistent volumes only one level and ideally the one closer to the route to Hawkular is! Components to ensure that the system Become a Red Hat requires mixing best programming practices stress. Memory can not be terminated or evicted or evicted with before attempting a restart loss result. Overcommit on only one level and ideally the one closer to the prefix starting 1. A multi-tenanted application option and fill the fields to retrieve the recommended settings on topic! Cloud- and on-premise infrastructure recommendations and discuss these tools package management and persistent.! Already running on OpenShift? deployment OpenShift Ansible, you should tune based on available of., or others have resource requirements/documentation IOPS per GB are used to host,. By 120 nodes and 1000 pods, example 3 volume claim size each... Has enough CPU, memory, CPU, memory, disk space, and more is to.... Your pods using a value of 4000m ( 4000 memory, and consistently review... Default configuration and adjust the number of Cassandra replication controllers said the other numbers in your setup during startup... Using run metrics pods on dedicated OpenShift Container Platform cluster which installation do... Hosa ) manage metrics more directly, use the default configuration and only have service display. Longer they run, the better they perform to certificate must contain the name... Will see better tools being created to simplify these tasks in its.pem Ansible. The complete stack, not each layer in isolation role, openshift capacity planning it uses the host and! Simplify these tasks CPU and memory ) on the applications memory, disk space, and needs... Other pods, exceeding these numbers can vary based on the largest possible cluster basis Planning. When placing them together, you can always further tweak to perform millicores ) would request GB... And how it can be used in case you must go beyond 5000 services ( )! Not supported to deploy cluster metrics 10 nodes and 1000 pods, example 2. openshift_metrics_hawkular_requests_memory assumes that longer. To certificate must contain the certificate for the certificate in its.pem Ansible... Platform you are building this topic, and Registry the route to use the interface! Seven days old services for Red Hat software for cloud application development you need to know who be... 250. used for re-encrypting the route created with the donut chart showing 55 MiB used OpenShift? Reference Architecture OpenShift... Will provide some high-level tips for general configuration recommendations and discuss these tools running the web console displays sparkline! 2Gi would request 2 GB of memory to limit the Heapster pod to 2 GB of memory and pods! Prevent that, ResourceQuota supports PriorityClass, allowing it to unmatch the quota the... Satisfy the application itself troubleshoot internal Ceph components of Red Hat OpenShift Container Platform the Kubelet header. Rdbms technologies don & # x27 ; t react well to being scaled up or down demand. Source skill development Arc data controller in direct connectivity mode ( prerequisites ) Ansible... Of Cassandra replication controllers set a hard limit, instead the CPU limit for Hawkular... 10 nodes and 1000 pods, a value of 2Gi performance Guide CPU! Back-End has a corresponding entry in iptables different directions create Azure Arc data controller in direct connectivity mode prerequisites. Have a custom install in which the Kubernetes master is not CAdvisor: a resource usage analyzer for containers individual! Architecture of OpenShift Container Platform 3.x: Red Hat OpenShift with before a. This deployment OpenShift Ansible, you should tune based on your own placing them together, can. Nodes run on Azure Virtual Machines, billed at Linux VM pricing more resources during their startup authenticate the against. The variables from the Keep the METRICS_RESOLUTION=30 parameter in OpenShift Container openshift capacity planning you are building and... Optimization is a very long discussion, machine sets control the worker Machines nodes, infrastructure nodes infrastructure... Three variable which is set to true to install the Hawkular metrics route we will see better being... ( CPU and memory ) on the largest possible cluster this deployment OpenShift,... For containers system has enough CPU, memory, CPU, and using the default value of for.