AWS reveals new cloud incident reporting tool, with almost zero sense of irony
Automated reporting is coming to CloudWatch

- AWS is adding a new “comprehensive post-incident analysis” reporting tool
- It will identify patterns and give users actionable insights to fix them
- More automation comes to CloudWatch to improve performance
Amazon Web Services (AWS) has enhanced its CloudWatch feature with new interactive incident report generation, which means customers can now generate “comprehensive post-incident analysis reports in minutes.”
Amazon explained the tool automatically collects telemetry data, user inputs and actions taken, to take the stress out of report generation.
Executive summaries, timelines, impact assessments and actionable recommendations will be included in the new CloudWatch reports.
AWS report generation arrives in a timely fashion
Although the company obviously didn’t make any mention of it, the timing of the new feature is somewhat ironic, arriving shortly after AWS suffered a major outage affecting millions of users across both Amazon systems (like Ring) and third-party platforms (like Spotify and Slack).
“These reports help you better identify patterns, implement preventive measures, and continuously improve your operational posture through structured post incident analysis,” the company wrote in a post.
CloudWatch’s new report generation feature will be available in: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Hong Kong), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe (Spain), and Europe (Stockholm).
Amazon has been criticized for not communications effectively with customers during recent outages and being slow to inform customers, while rivals like Datadog have jumped on this to offer faster incident detection.
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The industry is also seeing a shift to include more automated forensics and reporting to improve observability.
AWS also recently added support for RDS for SQL Server in CloudWatch Database Insights, using machine learning to automatically detect performance bottlenecks and provide actionable advice, all in a bid to improve usability and performance across the board.
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With several years’ experience freelancing in tech and automotive circles, Craig’s specific interests lie in technology that is designed to better our lives, including AI and ML, productivity aids, and smart fitness. He is also passionate about cars and the decarbonisation of personal transportation. As an avid bargain-hunter, you can be sure that any deal Craig finds is top value!
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