app-service-log-analysis

Name: app-service-log-analysis
Availability: InStock
Author: biowu

Analyzes Kubernetes and CloudWatch logs during AWS FIS experiments for live monitoring or review.

Updated Apr 29, 2026

Search Tags:#logs #kubernetes #disaster recovery #cloudwatch #multi-cluster #FIS #dependency discovery

Ready to run

npx skills add https://github.com/del-zhenwu/chaos-agent --skill app-service-log-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: app-service-log-analysis
Source: https://github.com/del-zhenwu/chaos-agent/tree/main/app-service-log-analysis
Command: npx skills add https://github.com/del-zhenwu/chaos-agent --skill app-service-log-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to analyze application and managed service logs during or after AWS FIS fault injection experiments, providing insights into app behavior under infrastructure failures.

Core Features & Use Cases

Supports real-time monitoring of application logs during ongoing experiments, allowing operators to observe error patterns and recovery signals live.
Facilitates post-hoc deep analysis by retrieving historic logs from kubectl and CloudWatch, correlating application errors with infrastructure events like RDS failovers.
Performs multi-cluster dependency discovery to identify applications affected by specific AWS services, enabling targeted log collection and analysis.

Quick Start

Provide the path to your FIS experiment directory to start real-time log monitoring or specify a report file for past analysis.

Frequently Asked Questions about app-service-log-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze application logs during AWS FIS fault injection experiments?▼

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.

Can I monitor application logs in real-time during Kubernetes fault injection?▼

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.

What is the best way to perform post-hoc log analysis after a CloudWatch failure event?▼

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.

How do I identify affected applications across multiple clusters during disaster recovery testing?▼

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.

Does this log analysis tool work with both Kubernetes and CloudWatch logs?▼

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.

Why should I correlate application errors with infrastructure events during FIS 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.