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Learning Objectives & Key Takeaways
0 / 4 Completed- Understand Observability core architecture and runtime execution model
- Audit real-world latency, throughput benchmarks, and memory footprint
- Implement zero-downtime deployment patterns with resilience guards
- Verify code snippets and architect blueprints against production SLOs
Practise it next
Observability interview questions, quiz and handbook in your Learning Dashboard
What you will learn
- Metrics tell you something is wrong; traces show where; logs explain why.
- OpenTelemetry instruments once and exports to any backend.
- Alert on user-facing symptoms, not on every internal blip.
Monitoring is not enough
Dashboards of CPU and memory tell you when a server is unhappy. They rarely tell you why checkout is slow for users in one region. Observability is the ability to ask new questions of your system without shipping new code.
It rests on three signals working together: metrics, traces and structured logs.
In the rest of this story
- The three signals
- Tracing a Node service
- Alerting that people trust
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