Log files stored on multiple containers in your cluster make it difficult to make sense of log data.
It’s not easy to spot problems when searching through large log files.
With logs scattered all over your environment, diagnosing and fixing issues is time-consuming.
Store all of your Docker logs in one place with Kubernetes log aggregation and avoid hunting through individual container logs when troubleshooting. Search through every log message from your Kubernetes cluster with a single interface. Route logs from your containers to SolarWinds® Papertrail™ with logspout, or catch all Kubernetes and Docker logs and forward them with Fluentd. Use DaemonSets with logspout or Fluentd for improved resilience and to ensure your logs are always stored in a central location with Papertrail. You can even configure application-level logging to directly send logs to Papertrail using the syslog protocol.Sign up for a free plan
Keep your finger on the pulse of your clusters with the Papertrail live tail feature. Watch incomings logs as they’re received and use regular expressions to search and filter events in real time. Just like the docker logs --follow command, live tail lets you view a stream of new output from your containers. Pause, search, and scroll through the live feed and click on log elements like IP address, UUID, and user IDs to drill down into low-level details. Highlight critical events with colorized log messages and a customizable event viewer, and use contextual searching to trace issues back to their source.Sign up for a free plan
Visualize log events and uncover insights in your log data with log velocity analytics. Use saved searches, or create new ones, to focus on log data covering the period you’re most interested in and build interactive graphs to help you identify patterns and anomalies. Quickly troubleshoot issues, such as traffic spikes or increasing error rates, by clicking on the visualization and jumping straight to the underlying log messages. You can diagnose problems from the last ten minutes or spot trends occurring over the last two weeks, and greatly reduce the time to find issues by visually exploring your log data.Sign up for a free plan