Cloud observability is critical for monitoring and managing modern distributed systems. Below are key resources to deepen your understanding and implementation:

1. Core Concepts

  • Definition: Observability measures how well internal states of a system can be inferred from its external outputs.
  • Key Metrics:
    • CPU & Memory Usage 📈
    • Network Latency ⏱️
    • Error Rates 🔍
  • Tools:
    • Prometheus + Grafana 📊
    • Elasticsearch, Logstash, Kibana (ELK) 📄
    • Cloudflare Observability Dashboard 🌤️
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2. Best Practices

  • Instrument your applications with logs, metrics, and traces 📝
  • Use distributed tracing for microservices architectures 🧭
  • Implement auto-scaling based on real-time metrics 📈
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3. Case Studies

cloud_observability_case_studies

4. Further Reading

Explore our Cloud Architecture Handbook for foundational knowledge. 📘

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