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Yes, Atatus tracks and visualizes Python’s import performance, highlighting slow or blocked imports that could impact serverless function startup times. This insight allows you to optimize dependencies and minimize delays during function invocation.
Atatus monitors memory usage and detects abnormal patterns that indicate memory leaks within your Python functions. By tracking memory consumption over time, it helps you pinpoint and resolve leaks that could affect performance and cost.
Atatus offers detailed granularity, from function-level monitoring to high-level execution metrics. It tracks individual function invocations, cold starts, execution times, memory usage, and error rates, allowing you to drill down to the root cause of performance issues.
Atatus provides customizable dashboards that visualize key Python serverless metrics like execution duration, cold starts, memory usage, and error rates. The metrics can be segmented by function, invocation, or time frame to help you identify trends and performance issues.
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Atatus is a great product with great support. Super easy to integrate, it automatically hooks into everything. The support team and dev team were also very helpful in fixing a bug and updating the docs.
Atatus is powerful, flexible, scalable, and has assisted countless times to identify issues in record time. With user identification, insight into XHR requests to name a few it is the monitoring tool we choose for our SPAs.
Atatus continues to deliver useful features based on customer feedback. Atatus support team has been responsive and gave visibility into their timeline of requested features.
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