![]() ![]() ![]() To configure the limits, create an AppDynamics Support ticket.LG Direct View LED signage features vibrant colors, incredible brightness levels and are available in a variety of sizes. The total pods metric displayed on the Pods List page reflects only the number of pods up to the configured limit. See the description under Controller Settings for the Cluster Agent. If your Cluster has more pods than can be monitored, the Cluster Agent ensures that the group of pods being monitored remains the same over time. If any of the reported pods are terminated in the future, then the Cluster Agent replaces the terminated pods with previously unreported pods and starts monitoring the newly included pods. To configure the limit, see the description under Controller Settings for the Cluster Agent. You can configure the number of Cluster Agents based on the overall controller capacity. See Install the Cluster Agent with Helm Charts.įor the limit of Cluster Agents per Controller, see Cluster Agent and Pod Limits. ![]() If the number of pods per cluster exceeds the limit, then you can deploy multiple Cluster Agents to monitor the cluster using Helm charts. If you run two containers per pod, then you can monitor 1500 pods and 3000 containers. If you run one container per pod then you can monitor 2250 pods and 2250 containers. The Cluster Agent consumes one Server Visibility license. See License Management.Īccess to Docker Hub or Red Hat Container Registry to pull the Cluster Agent Operator and Cluster Agent images, or access to an internal repository where these images are maintained. A cluster that you can access and monitor.Kubernetes versions >=1.19, with the Kubernetes metrics-serverdeployed and enabled on the cluster.The Cluster Agent is designed to run on Linux and deployed using the AppDynamics Operator. You need to increase the CPU limits by 100m (1350m) when auto-instrumentation is enabled. For Example, If 500 pods are instrumented through the agent, add 550Mi (300Mi + 250Mi) to the memory limits value. With auto-instrumentation, you need to increase the memory limits by 50Mi for every 100 pods. The values can change when you perform auto-instrumentation. ![]() These values are applicable when you use Cluster Agent without auto-instrumentation. ![]()
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