Log files spread across your environment from multiple frameworks like Django and Flask and make it difficult to find issues.
Verbose tracebacks are difficult to scan, which makes it challenging to spot problems.
Scattered logs, multiple formats, and complicated tracebacks make troubleshooting time-consuming.
You can troubleshoot Python application issues with simple tail and grep commands during the development. However, the production environment can contain millions of lines of log entries from numerous directories, servers, and Python frameworks. SolarWinds® Papertrail™ offers cloud-based centralized logging, making it easier for you to manage a large volume of logs. Unlike other log management tools, sending logs to Papertrail is simple. You can send Python log messages directly to Papertrail with the Python sysloghandler.Sign up for a free plan
You can use your personal time zone for searching Python logs with Papertrail. This feature proves to be handy when you are working with a geographically distributed team. Also, you can jump to a specific time with a couple of clicks. Papertrail helps you visually monitor your Python logs and detects any spike in the number of error messages over a period. To drill down, you can click a chart to explore associated events and troubleshoot issues. The feature helps you explore spikes over a time and expedites troubleshooting.Sign up for a free plan
Papertrail offers real-time log monitoring and analysis. You can easily sift through large volumes of logs and monitor logs in real time in the event viewer. Papertrail has a powerful live tail feature, which is similar to the classic "tail -f" command, but offers better interactivity. For an in-depth search, you can pause or scroll through the feed and click different log elements (IP, user ID, etc.) to get to the root cause of issues.Sign up for a free plan