Kubernetes clusters add even more to the complexity by introducing new layers that need to be monitored, each generating their own type of logs. In production, you’ll more than likely work with several machines, each having multiple containers that can crash at any time. Let’s not forget about the highly distributed and dynamic nature of Kubernetes. The transient nature of default logging in Kubernetes makes it crucial to implement a centralized log management solution.
Therefore you lose any information about why the anomaly occurred. In Kubernetes, when pods are evicted, crashed, deleted, or scheduled on a different node, the logs from the containers are gone. When an app dies on a virtual machine, logs are still available until you delete them. Log aggregation in Kubernetes is vastly different than logging on traditional servers or virtual machines, mainly due to how it manages its applications (pods).
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Keep in mind this post covers how to get you started if you want to go into more details and would prefer a comprehensive Kubernetes observability solution for logs, metrics, and traces, check out Sematext Kubernetes Monitoring.īefore getting started, if you need a refresher on what is logging and how it works, have a quick look at our log management guide. Much of what we’ll be explaining in this post can be considered a DIY approach, and will not have full-blown features like the Sematext Kubernetes Logs integration or different tools on the market. By the end, you will be able to aggregate logs for your own cluster. In this post, we are going to show you everything you need to know about logging in Kubernetes, from how it works to what best practices you should follow, and what log management tools are available. One of the main challenges is how you centralize Kubernetes logs. However, while Kubernetes makes it easy to manage large-scale containerized applications, it also introduces new challenges due to its ephemeral and dynamic nature.
In terms of container orchestration systems, Kubernetes is probably the first one that comes to mind. Application Performance Monitoring Guide.
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