Real-time Python Log Management

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Analysis of Python logs can be challenging

Accelerate troubleshooting with an advanced log management tool for Python

  • Centralize all your logs

    Keep all your logs in one place without worrying about the spikes in log volumes.
  • Analyze your logs in real time

    Get quick insights from all Python logs with live tail and interactive search features.
  • Streamline search and troubleshooting

    Reduce time to troubleshoot errors and spot recurring patterns over a period with log velocity analytics.

Here's How Papertrail Helps

Aggregate all your Python logs

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.

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Streamline search and troubleshooting

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.

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Analyze your logs in real time

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.

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Python Logger
Simplify Python log management and troubleshooting by aggregating Python logs from any source, and the ability to tail and search in real time.

Aggregate, organize, and manage your logs

  • Collect real-time log data from your applications, servers, cloud services, and more
  • Search log messages to analyze and troubleshoot incidents, identify trends, and set alerts
  • Create comprehensive per-user access control policies, automated backups, and archives of up to a year of historical data

Let's talk it over

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Phone: +1 (512) 498-6011

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