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Mastering CloudWatch Logs: Elevate Your QA Game with In-depth Analysis
Imagine pinpointing exactly why an error occurred or spotting a performance bottleneck before it hits production — all through logs. That’s the power of AWS CloudWatch Logs! For QAs, CloudWatch isn’t just a tool; it’s a gateway to deeper insights into how applications behave and where they might stumble.
If you’re ready to move beyond basic testing and dig into what’s happening under the hood, mastering CloudWatch can be a game-changer.
This guide has all the essential CloudWatch Log Insights queries to help you catch elusive bugs, track recurring issues, and analyze performance trends.
These aren’t just any queries — they’re tools to help you navigate logs more efficiently, diagnose problems faster, and make your testing process truly data-driven. So dive in, and let CloudWatch take your QA skills to the next level!
1. Count Specific Error Types in a Time Range
To monitor specific errors, use this query to filter logs and count occurrences over a set interval (e.g., hourly) to help detect recurring issues.
fields @timestamp, @message
| filter @message like /NullPointerException/
| stats count() as error_count by bin(1h)
| sort error_count desc
