![]() ![]() AWS Built-In Solutions for Monitoring Your EKS Kubernetes Cluster The advantage of using canaries is that calls are executed the same way your user would execute them, outside of your network and using a headless Chrome Web browser, making them ideal for health checks and smoke tests. The canaries are scripts that are executed periodically. This product enables tracing not only between applications on EKS, but also with other AWS services such as AWS Lambda, DynamoDB, and others.įinally, the most common way to monitor the health of an application is AWS CloudWatch Synthetics Canaries. Fortunately, Container Insights supports autodiscovery of Prometheus metrics and will auto-generate a dashboard under the performance monitoring section.Ĭoncerning application tracing and distributed tracing, you should have a look at AWS X-Ray. The fluentd application will aggregate all the logs of Pods deployed on a node and ship them to CloudWatch, where you can read them.Īs for application metrics, AWS doesn’t have a dedicated service. Collecting logs requires the fluentd DaemonSet. Let’s take a look at the EKS options available for each of these.Īpplication logs are not available in CloudWatch out of the box. Monitoring an application involves several elements: logs, metrics, traces, and health checks. Then you can create CloudWatch Alarms to be notified when an important event occurs. ![]() Evicted: a Pod has been killed by Kubernetes (because it uses too much RAM, for instance)Īs long as you’ve set up the CloudWatch Agent DaemonSet, Kubernetes events will be sent to Container Insights, a subsection of CloudWatch dedicated to everything container-related (ECS, EKS, Fargate).ImagePullBackOff: a Pod is unable to start because the node is unable to pull the container image.CrashLoopBackOff: a Pod keeps crashing again and again.In addition to the events created by the Node Problem Detector referenced above, Kubernetes provides a handful of additional events out of the box. ![]() Kubernetes has a built-in event system that can help you detect problems. To gain even more insight on node-related issues, you should add the Node Problem Detector DaemonSet that generates Kubernetes events regarding node health. However, some find that these states provide only limited information about the root cause of an unhealthy node. On top of the resource utilization, you will gain access to the Node health statuses (Ready, MemoryPressure, etc.). When working with AWS, make sure you deploy the CloudWatch Agent DaemonSet so you can analyze resource metrics in AWS CloudWatch. In the same vein, you should keep an eye on resource distribution to optimize cost by selecting nodes that better fit your workload. That way you have enough headroom, but aren’t overpaying for resources you’re not using. Keeping your cluster healthy and cost-efficient can be achieved by keeping these resources around sixty to seventy percent. A node failure means that all the Pods hosted on it will be ineffective, and while Kubernetes has a mechanism for the cluster to self-heal, you still want to keep an eye on your nodes.Ī node is essentially defined by its resources (CPU, RAM, disk, etc.). In terms of operation, nodes are the core of the business. Let’s first have a look at some best practices and what to incorporate into your monitoring stack if using only AWS products. A monitoring solution will bring you the benefits of alerting, visualization, centralized logging metrics, and events. You won’t achieve anything efficiently if you don’t implement a monitoring stack, because you lack the ability to process and analyze your data. Using only kubectl to manage your Kubernetes cluster has its limits. What to Monitor in an EKS Cluster | The Basics You’ll also take a look at some solutions to help you achieve monitoring by using the services available through AWS and from third parties. In this article, however, you’ll see what to monitor in your EKS cluster and why. As important as monitoring is, there are dozens of solutions on the market, making the “ how to monitor your Kubernetes cluster” question complicated to answer. Without monitoring and alerting, you would have no idea how to solve a potential problem and are likely to waste time and effort in any resolution attempts. Monitoring is essential for revealing issues in your Kubernetes clusters, whether those problems arise from your applications or the components of the cluster themselves. Whether you already have an EKS cluster running or are simply wondering what monitoring aspects are specific to EKS, this article will help you get an idea of what tools and features are available to you. Kubernetes is the most popular container orchestration platform currently available and most, if not all, cloud providers offer their own Kubernetes managed solution. ![]()
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