app-service-log-analysis

To analyze application logs during AWS FIS experiments, this Skill retrieves logs from Kubernetes and CloudWatch, correlating application errors with infrastructure events like RDS failovers to provide comprehensive insights into system behavior under failure conditions.

Yes, you can monitor application logs in real-time during ongoing fault injection experiments by providing the path to your FIS experiment directory, allowing operators to observe error patterns and recovery signals live.

The best way to perform post-hoc log analysis after a failure event is by specifying a report file to retrieve historic logs from kubectl and CloudWatch, correlating application errors with infrastructure events for detailed post-experiment review.

To identify affected applications across multiple clusters during disaster recovery testing, this Skill performs multi-cluster dependency discovery to pinpoint applications affected by specific AWS services, enabling targeted log collection.

Yes, this log analysis tool works with both Kubernetes and CloudWatch logs, collecting data from both sources to correlate application errors with infrastructure events during AWS FIS fault injection experiments.

Correlating application errors with infrastructure events during FIS experiments is necessary to gain comprehensive insights into system behavior under failure conditions, identifying how infrastructure failures like RDS failovers impact application stability.