Microservices Observability with OpenTelemetry

Implement comprehensive observability for microservices using OpenTelemetry for distributed tracing, metrics, and logging across multiple services.

advanced
local
Observability
140 minutes
5 steps
Prerequisites
  • Kubernetes cluster
  • Docker
  • Basic understanding of microservices
  • Node.js and Python knowledge
Learning Objectives
  • Understand OpenTelemetry concepts and architecture
  • Implement distributed tracing across microservices
  • Collect and analyze application metrics
  • Aggregate logs with structured logging
  • Set up observability dashboards
  • Troubleshoot distributed systems effectively
Technologies Used
OpenTelemetry
Jaeger
Prometheus
Node.js
Python
Kubernetes
Exercise Steps
1

Deploy Observability Stack Infrastructure

Current

Set up Jaeger for tracing, Prometheus for metrics, and configure the foundational observability infrastructure. Note: If using minikube/kind/k3d, cert-manager must be installed first for Jaeger Operator.

2

Create Instrumented Microservices

Build sample microservices with OpenTelemetry instrumentation for automatic tracing and metrics collection.

3

Complete Microservices Architecture

Build the remaining services (inventory and API gateway) and deploy the complete microservices architecture to Kubernetes.

4

Deploy Microservices to Kubernetes with Observability

Deploy the complete microservices stack to Kubernetes with proper observability configuration.

5

Analyze Distributed Traces and Create Dashboards

Use Jaeger UI to analyze distributed traces and create comprehensive observability dashboards.

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