🔭 Observability Engineering
A hands-on course on logs, metrics, traces, and production monitoring.
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Module 1
0/3Module 01 — The Three Pillars of Observability
Foundations of observability: logs, metrics, and traces.
- Introduction 8 min
- Core Concepts 10 min
- Practical Exercise 12 min
Module 2
0/3Module 02 — OpenTelemetry: The Universal Standard
Why OTEL exists and the universal data model.
- Introduction 8 min
- Core Concepts 10 min
- Practical Exercise 12 min
Module 3
0/3Module 03 — Instrumenting Real Applications
Auto vs manual instrumentation in Python and TypeScript.
- Introduction 8 min
- Core Concepts 10 min
- Practical Exercise 12 min
Module 4
0/3Module 04 — Metrics: Prometheus & Grafana
Counter, gauge, histogram, and PromQL fundamentals.
- Introduction 8 min
- Core Concepts 10 min
- Practical Exercise 12 min
Module 5
0/3Module 05 — Distributed Tracing: Tempo & Jaeger
Trace anatomy, sampling, and log correlation.
- Introduction 8 min
- Core Concepts 10 min
- Practical Exercise 12 min
Module 6
0/3Module 06 — LLM Observability: Why It's Different
New failure modes and LLM-specific signals.
- Introduction 8 min
- Core Concepts 10 min
- Practical Exercise 12 min
Module 7
0/3Module 07 — Langfuse Deep Dive: Architecture & SDK
Architecture, SDK walkthrough, self-hosting.
- Introduction 8 min
- Core Concepts 10 min
- Practical Exercise 12 min
Module 8
0/3Module 08 — Langfuse in Production: SandSync Case Study
Real-world multi-agent instrumentation.
- Introduction 8 min
- Core Concepts 10 min
- Practical Exercise 12 min
Module 9
0/3Module 09 — Synthetic Datasets: Generation & Usage
Generate realistic OTEL trace datasets for testing and teaching.
Module 10
0/3Module 10 — Production Readiness & Best Practices
Retention, multi-environment, alerting, maturity model.
- Introduction 8 min
- Core Concepts 10 min
- Practical Exercise 12 min