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What are the challenges with Kubernetes logging?

Monitoring Kubernetes clusters is difficult

Since multiple applications and services run on a Kubernetes cluster, it is not easy to monitor these Kubernetes cluster nodes. It is important to have a monitoring tool to efficiently manage all of Kubernetes components—cluster, node, pod, and container.

Managing high volume of logs in an ELK setup is cumbersome

In the case of Kubernetes clusters, logs multiply rapidly. While teams run an ELK setup in the Kubernetes cluster, it’s not easy to scale ELK and manage such high volumes of logs. This distracts your team from other critical tasks.

Kubernetes monitoring and analysis is complex

You need to integrate with various third-party tools to monitor and maintain the health of the Kubernetes clusters. Shuffling between multiple tools can make the process cumbersome.

Now, monitor Kubernetes clusters easily with a centralized platform

Generally, teams need to get logs from all the applications running on the Kubernetes cluster at one place for better monitoring and analysis. Also, it is required to have complete visibility of changes made in the Kubernetes cluster. However, using ‘kubectl’ to tail logs is complex and not scalable for a high volume of logs. This process is also insecure as it needs direct access to the cluster.

To solve all this, SolarWinds® Loggly® lets you monitor your Kubernetes cluster through a centralized solution by aggregating all your logs at one place and making them accessible through a web interface. It also allows you to control the access per your need or organizational policies, making Kubernetes cluster monitoring effective.

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Manage a high volume of logs effectively

Setting up ELK requires complex configuration. Further, logs can multiply at a rapid pace in a cluster, and teams can struggle to scale ELK for better searching and monitoring. Loggly comes handy in such scenarios with its advanced features like the dynamic field explorer, which allows you to drill down into specific components for faster troubleshooting.

You can also use the Loggly live tail with regex and filtering feature which makes the whole process easier. Besides all this, Loggly provides log data filtered down by namespace, task, time, and other parameters to make troubleshooting faster.

Loggly - Charts Library

Monitor and analyze using insightful charts and dashboards

For effective Kubernetes monitoring, Loggly provides high-level charts and dashboards. You can also share these dashboards with other team members for quicker troubleshooting and set alerts using Loggly to detect potential issues beforehand. Such proactive alerting reduces customer impact and ensures you are getting more time to run your applications than taking care of troubleshooting issues.

You can use the Loggly anomaly detection to track exceptions faster and take corrective action. You can also further integrate Loggly with multiple tools such as Github, Jira, and more for easy collaboration.

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