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This article shares with you about the Kubernetes health indicators that must be monitored. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

Kubernetes is one of the most popular choices for container management and automation today. An efficient Kubernetes setting generates numerous new metrics every day, which makes monitoring the health of the cluster very challenging. You may find that when you sift through several different indicators, you are not entirely sure which are the most insightful and require the most attention.

Although this may seem like a daunting task, you can get started immediately by knowing which of these metrics has the correct insight into the health of the Kubernetes cluster. Although there are some observable platforms that can help you monitor the correct metrics for your Kubernetes cluster, know exactly which metrics will help you monitor effectively. In this article, we will introduce you to several of Kubernetes's top health indicators.

Collapse cycle

A collapse cycle is the last thing you want to find out. In a crash loop, your application crashes when pod starts and keeps crashing and restarting in the loop. A variety of reasons can lead to a crash cycle, making it difficult to determine the root cause. Getting an alert when a crash cycle occurs can help you quickly narrow down the list of causes and take emergency measures to keep the application in a normal state.

Cluster status index

Another key indicator to pay attention to is the cluster status. You should be able to track the aggregate resource usage of all nodes in the cluster, including the required pod, node status, current pod, unavailable pod, and available pod. Monitoring the status of the cluster and evaluating the resulting metrics gives you an overview of the overall health of the cluster. You will also learn about issues related to nodes and pod. Based on the status indicators, you can decide whether you need to investigate larger problems or expand the cluster.

Using this indicator, you can also evaluate the number of resources that the node is using. You will also see how many nodes are available and how many nodes are still available, so you can know exactly what you are paying and whether you need to adjust the number and size of nodes used.

Disk and memory pressure

Disk pressure is an indicator that indicates whether your node is using disk space too fast or too much according to the usage threshold you set in the configuration. Monitoring this indicator allows you to determine when additional disk space is needed. It may also indicate that your application is not running as designed and uses more disk space than is needed.

Memory pressure is an indicator of the amount of memory a node is using. Monitoring this metric can help you prevent nodes from running out of memory and indicate nodes that over-allocate memory resources and unnecessarily increase infrastructure overhead. High memory pressure can also determine whether the application has a memory leak.

The network is not available

You will immediately want to know when something went wrong with your network. After all, your nodes and applications need a network connection to run. This indicator will let you know when there are problems that hinder the network connection of nodes. These problems may be caused by inappropriate network configuration or physical connectivity to the hardware.

CPU utilization

Knowing how many CPU cycles your node uses is critical to ensuring that your node uses its allocated CPU resources wisely. If your application or node uses up all the allocated processing resources, you must increase the CPU allocation or add additional nodes to the cluster. If your node or application uses less CPU cycles than you pay, you must re-evaluate the CPU allocation and downgrade it if necessary. Monitoring CPU utilization can help you master such scenarios and make your deployment run more efficiently.

Job failed

Kubernetes Job is a controller that ensures that pod executes for a certain amount of time and then retires as soon as they achieve their desired goals. Sometimes the job does not complete successfully-either because the node restarts, or enters a crash cycle, or even runs out of resources. Either way, as long as homework failures occur, you will want to know about them.

Job failures do not necessarily mean that your application is inaccessible-but ignoring job failures can lead to more serious problems in subsequent deployments. Closely monitoring job failures can help you recover in a timely manner and avoid these problems in the future.

DaemonSet

DaemonSet ensures that all nodes in the Kubernetes cluster are running copies of your favorite specific pod. DaemonSet is especially useful when you want to run a monitoring service pod on all existing nodes and any new nodes added to the cluster.

Monitoring DaemonSet can help you understand the health of the cluster. Ideally, the number of DaemonSet observed in the cluster should match the number of DaemonSet required. If you notice that these numbers are different, at least one DaemonSet may have failed.

Monitor the health indicators of Kubernetes operation

Knowing all Kubernetes health indicators is critical to ensuring early detection, prevention, and timely diagnosis of problems that may lead to cluster downtime. Using the right monitoring strategy, the knowledge that Kubernetes health indicators focus on, and the right set of monitoring tools are the best ways to ensure that the production environment is always up and running.

We have built a monitoring tool at LOGIQ that can help monitor Kubernetes clusters of all sizes, ensure that nothing goes undetected, keep costs to a minimum, and provide Kubernetes with observability that no one else can do. Tell us about [2] your Kubernetes infrastructure system and what you want to monitor.

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