Kubernetes Monitoring Guide: Best Practices and Add-Ons
Automating and simplifying application processes, such as deployment and scalability, are two of Kubernetes’ primary goals. It is considered the industry standard when it comes to container orchestration, and it has received support not just from the company that created it, Google, but also from other large technological businesses such as Microsoft and IBM. Kubernetes may be the ideal solution for you if you are in charge of the management of a microservice cloud or if you want to enhance the processes of app development and management. Monitoring like this may make it much simpler to manage containers and provide you a more precise picture of how well your applications are actually performing.
After you have built up Kubernetes, you will require a guide to monitoring it in order to disassemble all of its components into more manageable chunks that are simpler to comprehend. Kubernetes’ raison d’être is not trying to understand every variable in isolation. Instead, it works with clusters, which are collections of machines (virtual or physical) that can be configured as either a master or a node. At first, this may appear to be an insurmountable task; however, this is where the system’s true power lies. Every node is responsible for housing one or more containers, and the master instructs the nodes on how to manage these containers. It also provides the nodes with instructions on how they can divert traffic, and it serves as the primary point of access that every administrator will use to connect with their nodes and manage their containers. Instead of zeroing in on certain criteria, the Kubernetes monitoring process is meant to get a general sense of how healthy the node as a whole is. Even though you are concentrating more on the big picture, you will still need to develop metrics that provide you with an individualised and all-encompassing picture of the state of your apps.
Basic Monitoring Metrics
This article is simply going to cover the most fundamental aspects of the software, however there are many features that you might find to be helpful. These are the fundamental components of Kubernetes that you need to utilise so that you can begin using it effectively and become familiar with the Kubernetes monitoring environment.
How are your clusters currently being put to use? How can you improve their performance? What should be kept, and what can be discarded because it takes up too much room, uses too much power, or costs too much money? Keeping track of the total number of nodes in your system is an important statistic to monitor because it will assist you in gaining a deeper comprehension of the cluster infrastructure.
You may be aware of the number of nodes you possess, but at this point, you need to determine whether or not they are able to work effectively with the load they are now carrying and which nodes could step in to replace a failed node. This information is provided to you immediately by the running pods metric, which enables you to plan more efficiently.
CPU Usage and Memory
The metric server maintains a live update of the performance of the hardware in your systems; you can use it to monitor data consumption, recognise patterns, evaluate the effectiveness of optimizations, and comprehend precisely how modifications to your clusters or nodes influence your system.
Your environment can be improved with the help of cAdvistor, Prometheus, and Sematexts, which are three of the best Kubernetes add-ons. Each of these is a tool that you can utilise. You can pick and choose which ones are most pertinent to your job, but you should make sure that upgrading and optimising your applications is a routine element of your strategy for application management. It is never a waste of time to experiment with a different open-source technology in order to make Kubernetes even more flexible.