Summary
This walks you through setting up centralized logging with ELK Stack, Loki, or Splunk to collect and analyze logs across your infrastructure. You get Docker Compose configurations for the full ELK stack, Logstash pipeline configs for parsing, Filebeat setup for log shipping, and Kibana dashboard templates. The reference guides cover both traditional and Kubernetes deployments. Honestly, the best practices section is the most valuable part here because log aggregation is easy to set up badly. It'll save you from common mistakes like logging PII, ignoring retention costs, or running DEBUG level in production. Good starting point if you're moving past grepping server logs manually.
Install to Claude Code
npx -y skills add aj-geddes/useful-ai-prompts --skill log-aggregation --agent claude-codeInstalls into .claude/skills of the current project.
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Files
SKILL.md
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
