kubernetes get pod memory usage command line

A pod count from Kubernetes. Get the average pod memory of the running pods: Execute the script as follows: If you do not already have acluster, you can create one by usingMinikube,or you can use one of these Kubernetes playgrounds: 1. CONTAINER ID NAME CPU % MEM USAGE / LIMIT MEM % NET I/O BLOCK I/O PIDS e6f1db847082 k8s_minio_minio-prod-0_default_1057898a-0a81-11ea-ab3b-42010a800124_0 0.00% 330.4MiB / 14.69GiB 2.20% 0B / 0B 2.11GB / 2.93GB 29, docker version When you override the default Entrypoint and Cmd, these rules apply: If you do not supply command or args for a Container, the defaults defined When creating your pod, you can specify the hard limit of CPU and memory that an application container may consume. Last modified May 30, 2020 at 3:10 PM PST: "while true; do echo hello; sleep 10;done", Kubernetes version and version skew support policy, Installing Kubernetes with deployment tools, Customizing control plane configuration with kubeadm, Creating Highly Available clusters with kubeadm, Set up a High Availability etcd cluster with kubeadm, Configuring each kubelet in your cluster using kubeadm, Configuring your kubernetes cluster to self-host the control plane, Guide for scheduling Windows containers in Kubernetes, Adding entries to Pod /etc/hosts with HostAliases, Organizing Cluster Access Using kubeconfig Files, Resource Bin Packing for Extended Resources, Extending the Kubernetes API with the aggregation layer, Compute, Storage, and Networking Extensions, Check whether Dockershim deprecation affects you, Migrating telemetry and security agents from dockershim, Configure Default Memory Requests and Limits for a Namespace, Configure Default CPU Requests and Limits for a Namespace, Configure Minimum and Maximum Memory Constraints for a Namespace, Configure Minimum and Maximum CPU Constraints for a Namespace, Configure Memory and CPU Quotas for a Namespace, Change the Reclaim Policy of a PersistentVolume, Control CPU Management Policies on the Node, Control Topology Management Policies on a node, Guaranteed Scheduling For Critical Add-On Pods, Reconfigure a Node's Kubelet in a Live Cluster, Reserve Compute Resources for System Daemons, Set up High-Availability Kubernetes Masters, Using NodeLocal DNSCache in Kubernetes clusters, Assign Memory Resources to Containers and Pods, Assign CPU Resources to Containers and Pods, Configure GMSA for Windows Pods and containers, Configure RunAsUserName for Windows pods and containers, Configure a Pod to Use a Volume for Storage, Configure a Pod to Use a PersistentVolume for Storage, Configure a Pod to Use a Projected Volume for Storage, Configure a Security Context for a Pod or Container, Configure Liveness, Readiness and Startup Probes, Attach Handlers to Container Lifecycle Events, Share Process Namespace between Containers in a Pod, Translate a Docker Compose File to Kubernetes Resources, Declarative Management of Kubernetes Objects Using Configuration Files, Declarative Management of Kubernetes Objects Using Kustomize, Managing Kubernetes Objects Using Imperative Commands, Imperative Management of Kubernetes Objects Using Configuration Files, Update API Objects in Place Using kubectl patch, Define a Command and Arguments for a Container, Define Environment Variables for a Container, Expose Pod Information to Containers Through Environment Variables, Expose Pod Information to Containers Through Files, Distribute Credentials Securely Using Secrets, Run a Stateless Application Using a Deployment, Run a Single-Instance Stateful Application, Specifying a Disruption Budget for your Application, Coarse Parallel Processing Using a Work Queue, Fine Parallel Processing Using a Work Queue, Use Port Forwarding to Access Applications in a Cluster, Use a Service to Access an Application in a Cluster, Connect a Frontend to a Backend Using Services, List All Container Images Running in a Cluster, Set up Ingress on Minikube with the NGINX Ingress Controller, Communicate Between Containers in the Same Pod Using a Shared Volume, Developing and debugging services locally, Extend the Kubernetes API with CustomResourceDefinitions, Use an HTTP Proxy to Access the Kubernetes API, Configure Certificate Rotation for the Kubelet, Configure a kubelet image credential provider, Interactive Tutorial - Creating a Cluster, Interactive Tutorial - Exploring Your App, Externalizing config using MicroProfile, ConfigMaps and Secrets, Interactive Tutorial - Configuring a Java Microservice, Exposing an External IP Address to Access an Application in a Cluster, Example: Deploying PHP Guestbook application with MongoDB, Example: Deploying WordPress and MySQL with Persistent Volumes, Example: Deploying Cassandra with a StatefulSet, Running ZooKeeper, A Distributed System Coordinator, Restrict a Container's Access to Resources with AppArmor, Restrict a Container's Syscalls with Seccomp, Well-Known Labels, Annotations and Taints, Kubernetes Security and Disclosure Information, Contributing to the Upstream Kubernetes Code, Generating Reference Documentation for the Kubernetes API, Generating Reference Documentation for kubectl Commands, Generating Reference Pages for Kubernetes Components and Tools, Define a command and arguments when you create a Pod, Use environment variables to define arguments. Have a question about this project? What you expected to happen: Client: Version: 18.09.7 API version: 1.39 Go version: go1.11.2 Git commit: 2d0083d Built: Tue Sep 3 10:03:35 2019 OS/Arch: linux/amd64 Experimental: false Server: Engine: Version: 18.09.7 API version: 1.39 (minimum version 1.12) Go version: go1.11.2 Git commit: 2d0083d Built: Tue Sep 3 10:02:48 2019 OS/Arch: linux/amd64 Experimental: false. I have tried setting GODEBUG=madvdontneed=1 and this improves the situation substantially but it still eventually fails. You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. The command and arguments that you define in the configuration file Comparing your pods' memory usage to their configured limits will alert you to whether they are at risk of being OOM killed, as well as whether their limits make sense. This is an opinionated cheat sheet created to serve as a reference point for daily Kubernetes operations and administration done on the command line interface with kubectl.If you are preparing for CKA or CKAD exams, the cheat sheet contains commands that will hep you to quickly complete exam tasks. Looks like the problem in the docker. Currently, GKE usage metering tracks information about CPU, GPU, TPU, memory, storage, and optionally network egress. Because of this, the deployment is scaled (an autoscaling configuration is set which scales pods if memory consumption > 80%), naturally resulting in more pods and more costs. docker: 18.09.4. ... Every Container in the Pod must have a memory limit and a memory request, ... please see our Trademark Usage page. A Quota for resources might look something like this: ... and can save you from running into many headaches down the line! It appears the k8s OOM killer does not take into account memory that has been freed to the operating system before reaping a process . the techniques available for defining environment variables, including This is happening about once every 24 hours. The only problem is when the k8s node is not under stress. @onigirisan What we did was run a bot that restarted our apps every 4 hours. if i do a top in the node the app is only taking 26% of memory, However kubectl top shows 26 GB of memory usage. Using kubectl allows you to create, inspect, update, and delete Kubernetes objects. A Container is guaranteed to have as much memory as it requests, but is not allowed to use more memory than its limit. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. I have 2 containers running inside this pod, one is the actual application (heavy Java app) and a lightweight log shipper. Build a simple Kubernetes cluster that runs "Hello World" for Node.js. I would then use this data to create a graph in excel. How to reproduce it (as minimally and precisely as possible): If you have a specific, answerable question about how to use Kubernetes, ask it on and Use get to pull a list of resources you The pod consistently reports a usage of 1.9-2Gb of memory usage. the args field in the configuration file. The newer version in the beta release, which is autoscaling/v2beta2, ... Kubernetes API via Command Line. This page shows how to configure default memory requests and limits for a namespace. Aug 17, 2017 •.net-core asp.net-core kubernetes. We've created this cheatsheet as a quick reference to make commands on many common Kubernetes … Within Kubernetes, containers are scheduled as pods. Is there a related Docker bug/issue that this was tracked in or did it just magically fix itself? I have a Kubernetes Pod that has. I am assuming there are some issues how kubernetes find memory details with Java apps. Pod Memory Based AutoScaling. @recampbell Correct! In almost all of our components we noticed that they had unreasonably high memory usage. Any Prometheus queries that match pod_name and container_name labels (e.g. Get, create, edit, and delete resources with kubectl. Containers cannot use more CPU than the configured limit. The dashboard included in the test app Kubernetes 1.16 changed metrics. So we actually ended up updating the docker version on our clusters 17.06. suggest an improvement. To do this from the command line, configure the kubectl client and follow the steps below. By clicking “Sign up for GitHub”, you agree to our terms of service and Assign Memory Resources to Containers and Pods Assign CPU Resources to Containers and Pods Configure GMSA for Windows Pods and containers Configure RunAsUserName for Windows pods and containers Configure Quality of Service for Pods Assign Extended Resources to a Container Configure a Pod to Use a Volume for Storage Configure a Pod to Use a PersistentVolume for Storage Configure a Pod to Use a Projected Volume for Storage Configure a Security Context for a Pod … Already on GitHub? It seems cadvisor is the reason we're getting incorrect reporting? Client Version: version.Info{Major:"1", Minor:"13+", GitVersion:"v1.13.11-dispatcher", GitCommit:"2e298c7e992f83f47af60cf4830b11c7370f6668", GitTreeState:"clean", BuildDate:"2019-09-19T22:26:40Z", GoVersion:"go1.11.13", Compiler:"gc", Platform:"darwin/amd64"} Server Version: version.Info{Major:"1", Minor:"13+", GitVersion:"v1.13.11-gke.14", GitCommit:"56d89863d1033f9668ddd6e1c1aea81cd846ef88", GitTreeState:"clean", BuildDate:"2019-11-07T19:12:22Z", GoVersion:"go1.12.11b4", Compiler:"gc", Platform:"linux/amd64"}, kubectl top pod minio-prod-0: -XX:+UnlockExperimentalVMOptions -XX:+UseCGroupMemoryLimitForHeap, We saw similar behavior and believe it is due to this known issue: https://success.docker.com/article/the-docker-stats-command-reports-incorrect-memory-utilization. Feature gates are a set of key=value pairs that describe Kubernetes features.You can turn these features on or off using the --feature-gatescommand line flagon each Kubernetes component. Printing the logs can be defining the container name in the pod. or Node disk I/O usage. In order for Kubernetes to autoscale, it needs to collect information about a pod CPU, memory usage etc, which is not done by default. This page shows how to assign a CPU request and a CPU limit to a container. When you hover over the bar graph under the Trend column, each bar shows either CPU or memory usage, depending on which metric is selected, within a sample period of 15 minutes. cluster, you can create one by using you can define arguments by using environment variables: This means you can define an argument for a Pod using any of Play with KubernetesTo check the version, enter kubectl version. Similarly, the other environment variables get their names from Pod fields. This page shows how to assign a memory request and a memory limit to a Container. cc @vikalp-mindtickle @nithinreddy-mt. kubectl get resourcequota mem-cpu-demo --namespace=quota-mem-cpu-example --output=yaml. I have similar issue where docker stats reports Open an issue in the GitHub repo if you want to /lifecycle stale. /lifecycle rotten, kubectl version: When different teams run different projects on th… ConfigMaps Related Article. Check that the pod is not larger than your nodes. To see the output of the command that ran in the container, view the logs Using this command #13488 (comment). Here are some example command lines that … Load the config map into a file using the following command: kubectl get configmap monitoring-prometheus-alertmanager --namespace=kube-system -o yaml > alertmanager.yaml. Resource allocation for pods. Copy link rajjar123456 commented Jul 17, 2020. hi, I want to log the cpu and memory usage for a pod , every 5 mins over a period of time. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. We've created this cheatsheet as a quick reference to make commands on many common Kubernetes … report a problem You can see that the memory and CPU requests and limits for your Pod do not exceed the quota. Kubernetes assigns a default memory request under certain conditions that are explained later in this topic. Assigning and managing CPU and memory resources in the Kubernetes can be tricky and easy at the same time. However as time goes on kubectl top reports that the memory used by the pod increases hour on hour until it hits the resource limits of the deployment and it gets restarted. https://stackoverflow.com/questions/52963152/kubernetes-pod-reporting-more-memory-usage-than-actual-process-consumption, https://success.docker.com/article/the-docker-stats-command-reports-incorrect-memory-utilization, Cloud provider or hardware configuration: AWS. We have used the command “kubectl top pod” to get the utilized pod memory and applied the logic. command is used. image are ignored. By default, a pod in Kubernetes will run with no limits on CPU and memory in a default namespace. How to restart Pods in Kubernetes. The default EntryPoint and the default Cmd defined in the Docker $ kubectl get pod $ kubectl get service kubectl logs − They are used to get the logs of the container in a pod. Pod health and availability. Is this a BUG REPORT or FEATURE REQUEST? For example, if all nodes have a capacity of cpu:1, then a pod with a request of cpu: 1.1 will never be scheduled. In this exercise, you create a Pod that runs one container. We have a similar problem but it is with a golang program (An operator). NAME CPU(cores) MEMORY(bytes) minio-prod-0 1m 922Mi, docker stats: The configuration to your account. from the Pod: The output shows the values of the HOSTNAME and KUBERNETES_PORT environment args. override the default command and arguments provided by the container image. Thanks for the feedback. Note: The fields in this example are Pod fields. To run your command in a shell, wrap it like this: This table summarizes the field names used by Docker and Kubernetes. CONTAINER ID NAME CPU % MEM USAGE / LIMIT MEM % NET I/O BLOCK I/O PIDS e6f1db847082 k8s_minio_minio-prod-0_default_1057898a-0a81-11ea-ab3b-42010a800124_0 0.00% 330.4MiB / 14.69GiB 2.20% 0B / 0B 2.11GB / 2.93GB 29, docker version 1.1GiB / 26GiB Are you using -XX:+UseCGroupMemoryLimitForHeap parameter so JVM is aware of your request & limits parameters ? kubectl get pod memory-demo-3 --namespace=mem-example NAME READY STATUS RESTARTS AGE memory-demo-3 0/1 Pending 0 25s View detailed information about the Pod, including events: kubectl describe pod memory-demo-3 --namespace = mem-example Cmd defined in the Docker image are ignored. Kubernetes uses these metrics to schedule pods across the available nodes in the cluster. The safest place to start with a command-line utility is to ask questions (read operations) rather than give commands (write operations). Kubectl get. Were you able to resolve this issue on your end ? You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. Secrets. Sign in Check the value of the metric using the following command, which sends a raw GET request to the Kubernetes API server: in the Docker image are used. The command and arguments that the Docker image is run with the args that you supplied. Because of this, the deployment is scaled (an autoscaling configuration is set which scales pods if memory consumption > 80%), naturally resulting in more pods and more costs, Yellow Line represents application memory usage. If the POD has only one container there is no need to define its name. ... K9s+benchmark — provides a command-line interface ... Monitor persistent storage usage. Autoscaling Kubernetes deployments or replica sets using Horizontal Pod ... application from AWS to GCP and as with other systems of this kind we cannot meet their SLAs by relying on CPU or memory usage metrics only. Interestingly if the k8s node is busy (lots of pods running and high memory usage) then the pod keeps its memory usage to around 50Mb and never varies. I was running into issues with kubectl top reporting one value for memory but in grafana there was a different value with using container_memory_usage_bytes, Swapped to using container_memory_working_set_bytes and kubectl top matched what was shown in grafana. View metric snapshots using kubectl top. I'm not sure. They are not fields of the Container in the Pod. $ kubectl top node [node Name] The output shows the quota along with how much of the quota has been used. Now, what I don't understand is WHY my pod consistently reports such high usage metrics. Get, create, edit, and delete resources with kubectl. Is this a fundamental linux/docker issue..? We're using cadvisor for stats reporting. field in the configuration file. The beta release for autoscaling, which is autoscaling/v2beta1, supports scaling based on CPU and memory utilization. I have the same problem; i want to known, how to solved? How to Check Kubernetes pod CPU and memory. Client: Version: 18.09.7 API version: 1.39 Go version: go1.11.2 Git commit: 2d0083d Built: Tue Sep 3 10:03:35 2019 OS/Arch: linux/amd64 Experimental: false Server: Engine: Version: 18.09.7 API version: 1.39 (minimum version 1.12) Go version: go1.11.2 Git commit: 2d0083d Built: Tue Sep 3 10:02:48 2019 OS/Arch: linux/amd64 Experimental: false, kubectl top pod minio-prod-0: The helpful get commands can get you rolling. The log-shipper simply takes 6Mb of memory. We’ll occasionally send you account related emails. How to Check Kubernetes pod CPU and memory. This sort of resets the state, number of pods and memory consumption. minikube Shows 2.5 GiB in kubectl top while docker stats shows only 966Mib. As an alternative to providing strings directly, There are 3 processes running inside the application container, out of which the root process (application) takes 5.9% of memory, which roughly comes out to 0.92Gb. And yet working with many teams over the past year has shown us that determining the right values for these parameters is hard. 2. That's not happening by a long shot. I have a pod which has 1.05 GB from grafana, but with kubectl top only 435MB. This is an opinionated cheat sheet created to serve as a reference point for daily Kubernetes operations and administration done on the command line interface with kubectl.If you are preparing for CKA or CKAD exams, the cheat sheet contains commands that will hep you to quickly complete exam tasks. This page shows how to define commands and arguments when you run a container You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. When creating your pod, you can specify the minimum amount of CPU and memory that an application container needs. providing strings. Resource Limits. Possibly you need to use UnlockExperimentalVMOptions depend on which JDK version you are using. Setting Kubernetes requests and limits effectively has a major impact on application performance, stability, and cost. Kubernetes command line interface: kubectl; Kubernetes web-based user interface: Dashboard; Introducing Helm. completed. But if that doesn't work out and if you can’t find the source of the error, restarting the Kubernetes Pod manually is the fastest way to get your app working again. command might consist of several commands piped together, or it might be a shell Mark the issue as fresh with /remove-lifecycle rotten. The Kubernetes Metrics Server is a cluster-wide aggregator of resource usage data. 3. ... Configure Default Memory Requests and Limits for a Namespace. Create a Pod that does not specify any memory request or limit; Enforcement of minimum and maximum memory constraints; Motivation for minimum and maximum memory constraints; Clean up; What's next; Before you begin. Actual CPU/memory usage of Kubernetes cluster nodes. This was the only temporary workaround we could find. Stale issues rot after an additional 30d of inactivity and eventually close. Also put up on stackoverflow - https://stackoverflow.com/questions/52963152/kubernetes-pod-reporting-more-memory-usage-than-actual-process-consumption. Is anyone aware of any settings I could add to the pod to ensure that the memory image is kept to a minimum and never triggers the OOM killer? In this section, we are discussing how you can deploy autoscaling on the basis of memory that pods are consuming. Helm is a tool for managing applications that run in the Kubernetes cluster manager. I have profiled the program and we have no memory leaks - profiler reports a fairly stable memory usage of around 30MB of heap space occupied. If a Container is created in a namespace that has a default memory limit, and the Container does not specify its own memory limit, then the Container is assigned the default memory limit. The official Helm webpage defines Helm as a “package manager for Kubernetes” but, it is more than this. : Uncomment only one, leave it on its own line: What happened: Stack Overflow. Kubectl is a command-line interface that is used to run commands against the clusters of Kubernetes. variables: In the preceding example, you defined the arguments directly by Resource usage metrics, such as container CPU and memory usage are helpful when troubleshooting weird resource utilization. I think this is the cause. This can create several problems related to contention for resources, the two main ones being: 1. Once Metrics Server is deployed, you can retrieve compact metric snapshots from the Metrics API using kubectl top.The kubectl top command returns current CPU and memory usage for a cluster’s pods or nodes, or for a particular pod or node if specified.. For example, you can run the following command to display a snapshot of near-real-time … The safest place to start with a command-line utility is to ask questions (read operations) rather than give commands (write operations). You signed in with another tab or window. Rotten issues close after an additional 30d of inactivity. A limit range is enforced in a particular namespace when there is aLimitRangeobject in that namespace. be configured to communicate with your cluster. For example, your The top command allows you to see the resource consumption for nodes. Kubernetes - Kubectl Commands ... $ kubectl get pod $ kubectl get service ... kubectl top node − It displays CPU/Memory/Storage usage. On version docker-19.03.4 those problem doesn't show. If you define args, but do not define a command, the default command is used When I started working with kubernetes at scale I began encountering something that didn’t happen when I was just running experiments on it: occasionally a pod would get stuck in pending status… What additional steps did you take ? Send feedback to sig-testing, kubernetes/test-infra and/or fejta. ... kubectl get deployment pod-quota-demo --namespace = quota-pod-example --output = yaml. Successfully merging a pull request may close this issue. Am I missing something ? In some cases, you need your command to run in a shell. containers that run in the Pod. Kubectl is the command line configuration tool for Kubernetes that communicates with a Kubernetes API server. Using kubectl allows you to create, inspect, update, and delete Kubernetes objects. If you supply only args for a Container, the default Entrypoint defined in On your Azure Stack Edge Pro device, you can use the Kubernetes Dashboard in read-only mode to get an overview of the applications running on your Azure Stack Edge Pro device, view status of Kubernetes cluster resources, and see any errors that have … Have you solved it now? Edit the alertmanager.yaml file and add the configuration as shown below: in a Pod. Your command is run with your I am also facing this issue. Troubleshooting high memory usage with ASP.NET Core on Kubernetes. file for the Pod defines a command and two arguments: Create a Pod based on the YAML configuration file: The output shows that the container that ran in the command-demo Pod has Kubernetes: 1.15.6 Mark the issue as fresh with /remove-lifecycle stale. There is no control of how much resources each pod can use. Wow this has been an issue for almost 2 years? Its work is to collect metrics from the Summary API, exposed by Kubelet on each node. The pod consistently reports a usage of 1.9-2Gb of memory usage. Limit Range support is enabled by default for many Kubernetes distributions. Depending on the restart policy, Kubernetes itself tries to restart and fix it. Requested usage vs. actual usage of resources. What I have observed seems to be that the program allocates memory uses it then frees it back to the operating system. ... field. I expect the process memory consumption observed via top to be the same as the memory occupied by the pod. If you do not already have a Kubernetes provides a Metrics API and a number of command line queries that allow you to retrieve snapshots of resource utilization with relative ease. script. Stale issues rot after 30d of inactivity. Health status of Kubernetes master node components (API server, scheduler, controller, etcd). You need to have a Kubernetes cluster, and the kubectl command-line tool mustbe configured to communicate with your cluster. First things first: Deploy Metrics Server Before you can query the Kubernetes Metrics API or run kubectl top commands to retrieve metrics from the command line, you’ll need to ensure that Metrics Server is deployed to your cluster. Now, when we ssh into the k8 nodes, find the container and run docker stats, we see the docker issue has been resolved. Katacoda 2. Some images might be more resource heavy or have certain "minimum resource" requirements that we would like to see guaranteed. issue is here, same here as well. If you supply a command and args, the default Entrypoint and the default Kubernetes Dashboard is a UI-based alternative to the Kubernetes kubectl command line. cadvisor or kubelet probe metrics) must be updated to use pod and container instead. At work we are running several ASP.NET Core APIs on the hosted version of Kubernetes in the Google Cloud (GCE—Google Container Engine). GKE usage metering tracks information about the resource requests and actual resource usage of your cluster's workloads. However, on deeper investigation, this is what I found. you define cannot be changed after the Pod is created. However, the grafana reporting hasn't changed. ... kubectl top node − It displays CPU/Memory/Storage usage. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. If a pod’s limit is too close to its standard memory usage, the pod may get terminated due to an unexpected spike. For more information, see Kubernetes Dashboard . When Kubernetes schedules a Pod, ... ResourceQuotas are very powerful, but let’s just look at how you can use them to restrict CPU and Memory resource usage. You can differentiate resource usage using Kubernetes Namespaces, labels, or a combination of both. Yellow Line represents application memory usage. You can check node capacities with the kubectl get nodes -o command. Kubernetes Pod reporting more memory usage than actual process consumption #70178. Issues go stale after 90d of inactivity. ... $ kubectl annotate created_object -f file_name resource-version _key = value $ kubectl get pods pod_name --output=yaml. ... and the kubectl command-line tool must be configured to communicate with your cluster. In our part 1 of handling resources and limits in Kubernetes: When we specify our pod definition, we … We're incurring significant costs due to the unintended auto-scaling and would like to fix the same. Use get to pull a list of resources you It isenabled when the apiserver --enable-admission-plugins= flag has LimitRangeradmission controller asone of its arguments. :), I see docker/cli#80 mentioned (via https://success.docker.com/article/the-docker-stats-command-reports-incorrect-memory-utilization) but that's still open, In kubernetes cluster, the cadvisor is used for mem metrics, container_memory_usage_bytes, and this one includes more than expected.

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