Frustration-free logging for Docker
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Simplify Docker log aggregation
Use Papertrail™ to collect Docker logs and skip creating a Docker logging app. -
Resilient and scalable logging
Send Docker logs directly to Papertrail and eliminate dependency on the host machine. -
Powerful analysis tools for Docker logs
Simplify troubleshooting incidents with fast search, live tail, integrated alerts, and log velocity analytics.
Here's How Papertrail Helps
Simplify Docker log aggregation
Send Docker logs automatically to Papertrail™ without the headache of setting up a logging application or messing with logging drivers. Aggregate and consolidate Docker logs to provide a centralized view across logs. Use access control to define granular permissions based on customizable log groups. Accelerate troubleshooting container issues with live tail, and real-time event stream filtering.
Sign up for a free plan
Resilient and scalable logging
Forward logs directly to Papertrail and eliminate the dependency on the host machine. Scale logging effortlessly without any additional configuration. Use log filtering to control the amount of information logged. Receive notifications on log spikes with log flood detection. Automate log archiving to ensure logs are never lost.
Sign up for a free plan
Powerful analysis tools for Docker logs
View Docker logs in real time and pause/resume with a simple click. Filter incoming messages by origin, time period, or message content. Customize the Event Viewer to highlight high-severity messages, then use contextual searching to trace the issue back to its source. Use a graphical visualization to identify spikes or explore patterns in container logs. Save searches without leaving the Event Viewer to quickly create alerts. Integrate with Slack, HipChat, AppOptics™, and over a dozen other providers for notifications, graphs, and other services.
Sign up for a free plan- Docker Logging
- Simplify Docker logging and troubleshooting by aggregating Docker logs from any source, and the ability to tail and search in real time.