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      • 📍 Course Overview
      • LEARNING PATH
        • Overview
        • PHASE 1: CORE SYSTEMS
          • Readme
          • Lesson 01
          • Lesson 02
          • Lesson 03
          • Lesson 04
          • Lesson 05
          • Lesson 06
          • Lesson 07
          • Readme
          • Lesson 01
          • Lesson 02
          • Lesson 03
          • Lesson 04
          • Lesson 05
          • Lesson 06
          • Lesson 07
          • Readme
          • Lesson 01
          • Lesson 02
          • Lesson 03
          • Lesson 04
          • Lesson 05
          • Lesson 06
          • Lesson 07
          • Readme
          • Lesson 01
          • Lesson 02
          • Lesson 03
          • Lesson 04
          • Lesson 05
          • Lesson 06
        • PHASE 2: DEVOPS & CONTAINERS
          • Readme
          • Lesson 01
          • Lesson 02
          • Lesson 03
          • Lesson 04
          • Lesson 05
          • Readme
          • Lesson 01
          • Lesson 02
          • Lesson 03
          • Lesson 04
          • Lesson 05
          • Readme
          • Lesson 01
          • Lesson 02
          • Lesson 03
          • Lesson 04
        • PHASE 3: INFRA & CLOUD
          • Introduction to Infrastructure as Code & Terraform
          • HCL Declarative Syntax & Core Concepts
          • State Management & Remote Backends
          • Reusable Module Architecture
          • Terraform in CI/CD & GitOps
          • Readme
          • Lesson 01
          • Lesson 02
          • Lesson 03
          • Lesson 04
          • Lesson 1: Cloud Service Models (IaaS, PaaS, SaaS)
          • Lesson 2: Core Cloud Infrastructure Components
          • Lesson 3: Cloud-Native Architecture
          • Lesson 4: High Availability and Disaster Recovery
          • Lesson 5: Hybrid and Multi-Cloud Strategies
          • Readme
          • Lesson 01
          • Lesson 02
          • Lesson 03
          • Lesson 04
        • PHASE 4: KUBERNETES DEEP DIVE
          • Readme
          • Lesson 01
          • Kubernetes Architecture and Components
          • Lesson 02
          • Pod Lifecycle and Workload Management
          • Lesson 03
          • Services, Networking, and Ingress
          • Lesson 04
          • Stateful Workloads and Storage
          • Lesson 05
          • Kubernetes Security and RBAC
          • Lesson 06
          • Lesson 07
          • Readme
          • Introduction to CI/CD and GitOps
          • GitHub Actions Fundamentals
          • Automated Container Builds and Scanning
          • Progressive Delivery (Canary, Blue/Green)
          • GitOps and Rollback Automation with ArgoCD
          • The Three Pillars of Observability: Metrics, Logs & Traces
          • Time-Series Instrumentation with Prometheus & PromQL
          • Designing Mission-Critical Grafana Dashboards
          • OpenTelemetry Architecture & Distributed Tracing Fundamentals
          • AlertManager Configuration & Actionable Routing
          • Readme
          • Observability (Prometheus, Grafana) - Lesson 1
          • Observability (Prometheus, Grafana) - Lesson 2
          • Observability (Prometheus, Grafana) - Lesson 3
          • Observability (Prometheus, Grafana) - Lesson 4
          • Observability (Prometheus, Grafana) - Lesson 5
        • PHASE 5: ADVANCED PLATFORM
          • SLIs, SLOs, SLAs & Error Budget Calculations
          • Incident Command Management & On-Call Workflows
          • Structured Blameless Postmortems & Root Cause Analysis (RCA)
          • Chaos Engineering & Proactive System Testing
          • Toil Reduction & Automation
          • Readme
          • Site Reliability Engineering - Lesson 1
          • Site Reliability Engineering - Lesson 2
          • Site Reliability Engineering - Lesson 3
          • Site Reliability Engineering - Lesson 4
          • Site Reliability Engineering - Lesson 5
          • Hardware Architecture for AI: GPUs, TPUs, CUDA & Memory Bandwidth
          • Local LLM Execution with Ollama & Model Runtime Internals
          • Production LLM Serving with vLLM & Continuous Batching
          • Auto-scaling AI Workloads in Kubernetes (KEDA & GPU Nodes)
          • Monitoring LLM Latency, Token Throughput & GPU Utilization
          • Readme
          • AI Infrastructure & LLM Serving - Lesson 1
          • AI Infrastructure & LLM Serving - Lesson 2
          • AI Infrastructure & LLM Serving - Lesson 3
          • AI Infrastructure & LLM Serving - Lesson 4
          • AI Infrastructure & LLM Serving - Lesson 5
          • Designing Retrieval-Augmented Generation (RAG) Infrastructure
          • Vector Database Architecture (Qdrant, Milvus, pgvector)
          • Automated Model Weight Ingestion & Storage Pipelines
          • MLOps Lifecycle Management & Artifact Provenance
          • Real-world MLOps and Vector Database Implementation
          • Readme
          • MLOps & Vector Databases - Lesson 1
          • MLOps & Vector Databases - Lesson 2
          • MLOps & Vector Databases - Lesson 3
          • MLOps & Vector Databases - Lesson 4
          • MLOps & Vector Databases - Lesson 5
        • PHASE 6: SPECIALIZATION
          • Platform Engineering Principles & Treating Developers as Customers
          • Designing Developer Portals & Golden Paths
          • Self-Service Dynamic Infrastructure Scaffolding & Templates
          • Building Internal Developer Platforms with Backstage
          • Measuring Developer Experience (DevEx) & Platform Adoption
          • Readme
          • Internal Developer Platform - Lesson 1
          • Internal Developer Platform - Lesson 2
          • Internal Developer Platform - Lesson 3
          • Internal Developer Platform - Lesson 4
          • Internal Developer Platform - Lesson 5
          • Highly Available Multi-Region Platform Topologies
          • Distributed Caching, Sharding & High-Throughput Architectures
          • Kubernetes Cluster Mesh & Cross-Cluster Networking
          • Active-Active and Active-Passive Failover Strategies
          • Stateful Data Replication Across Geographic Regions
          • Readme
          • Advanced Systems & Scaling - Lesson 1
          • Advanced Systems & Scaling - Lesson 2
          • Advanced Systems & Scaling - Lesson 3
          • Advanced Systems & Scaling - Lesson 4
          • Advanced Systems & Scaling - Lesson 5
          • Architectural Blueprint: Production Internal Developer Platform
          • Architectural Blueprint: Highly Scalable Enterprise AI Inference Engine
          • Integrating Platform and AI Services
          • Building the Final CI/CD and MLOps Pipelines
          • Final Review, Hardening, and Best Practices
          • Readme
          • Production Platform Capstone - Lesson 1
          • Production Platform Capstone - Lesson 2
          • Production Platform Capstone - Lesson 3
          • Production Platform Capstone - Lesson 4
          • Production Platform Capstone - Lesson 5
          • Structured System Design Frameworks for Platform Engineers
          • Whiteboard Architecture Scenarios & Trade-off Decisions
          • Behavioral Engineering Interviews & Engineering Communication
          • High-Impact Portfolio Refinement & Industry Presentation
          • Executive Engineering Leadership & Offer Negotiation
          • Readme
          • System Design & Interview Prep - Lesson 1
          • System Design & Interview Prep - Lesson 2
          • System Design & Interview Prep - Lesson 3
          • System Design & Interview Prep - Lesson 4
          • System Design & Interview Prep - Lesson 5
        • Deploying a Multi-Region Cluster Mesh
        • Deploying a Local LLM with Ollama
        • Capstone Lab: Building the Foundation
        • Mock System Design Interview & Whiteboard Exercise
        • Deploying a Backstage Developer Portal
        • Deploying Qdrant and Ingesting Embeddings
        • Instrumenting and Monitoring a Microservice
        • Implementing SLOs and Error Budgets
        • Advanced Resilience and Chaos Engineering
        • Ai Infrastructure and Gpu Management
        • Capstone Project
        • Career Advancement
        • CI CD Pipelines and Automation
        • Lab 1: Deploying a Scalable Web Application
        • Containers and Docker
        • Git Version Control
        • Hands-On Labs
        • Deploying a VPC and EC2 Instance with Terraform
        • Internal Developer Platform
        • Deploying a Microservices Application on Kubernetes
        • Building a Complete CI/CD Pipeline with GitHub Actions and ArgoCD
        • Linux Administration
        • Linux Getting Started
        • Linux Internals
        • Mlops Training and Model Serving
        • CI/CD Pipelines & Automation - Practical Lab
        • Observability (Prometheus, Grafana) - Practical Lab
        • Site Reliability Engineering - Practical Lab
        • AI Infrastructure & LLM Serving - Practical Lab
        • MLOps & Vector Databases - Practical Lab
        • Internal Developer Platform - Practical Lab
        • Advanced Systems & Scaling - Practical Lab
        • Production Platform Capstone - Practical Lab
        • System Design & Interview Prep - Practical Lab
        • Networking Fundamentals
        • Observability Prometheus Grafana
        • Security Fundamentals
        • Sre and Chaos Engineering
      • ASSESSMENT & REFERENCE
        • Capstone: Global E-Commerce Platform Architecture
        • Production LLM Inference Cluster with vLLM and KEDA
        • Capstone Project: The AI Platform Portfolio
        • Platform Engineering Portfolio Launch
        • Build a Self-Service IDP for Microservices
        • End-to-End Enterprise RAG Pipeline
        • Capstone Project: Enterprise Observability Platform
        • SRE Implementation & Chaos Experiment
        • Capstone Project: Architecting a Cloud-Native Platform
        • Capstone Projects
        • Kubernetes Platform Engineering Capstone
        • Linux Administration
        • Linux Getting Started
        • Linux Internals
        • CI/CD Pipelines & Automation - Capstone Project
        • Observability (Prometheus, Grafana) - Capstone Project
        • Site Reliability Engineering - Capstone Project
        • AI Infrastructure & LLM Serving - Capstone Project
        • MLOps & Vector Databases - Capstone Project
        • Internal Developer Platform - Capstone Project
        • Advanced Systems & Scaling - Capstone Project
        • Production Platform Capstone - Capstone Project
        • System Design & Interview Prep - Capstone Project
        • Networking Fundamentals
        • End-to-End GitOps Deployment Pipeline for Microservices
        • Capstone: High-Availability Web Infrastructure
        • Advanced Systems & Scaling Knowledge Check
        • AI Infrastructure & LLM Serving Knowledge Check
        • Module 18 Quiz: Capstone Architecture
        • Career & System Design Quiz
        • Internal Developer Platforms Quiz
        • MLOps & Vector Databases Quiz
        • Observability Knowledge Check
        • SRE Fundamentals Quiz
        • Quiz: Cloud Platforms & Architecture
        • Assessments & Quizzes
        • Kubernetes Engineering Knowledge Check
        • Linux Administration Quiz
        • Linux Getting Started Quiz
        • Linux Internals Quiz
        • CI/CD Pipelines & Automation - Knowledge Check
        • Observability (Prometheus, Grafana) - Knowledge Check
        • Site Reliability Engineering - Knowledge Check
        • AI Infrastructure & LLM Serving - Knowledge Check
        • MLOps & Vector Databases - Knowledge Check
        • Internal Developer Platform - Knowledge Check
        • Advanced Systems & Scaling - Knowledge Check
        • Production Platform Capstone - Knowledge Check
        • System Design & Interview Prep - Knowledge Check
        • Networking Fundamentals Quiz
        • CI/CD & GitOps Knowledge Check
        • Infrastructure as Code Concept Check
        • PromQL & Observability Cheat Sheet
        • Advanced Systems Architecture Cheat Sheet
        • AI Infrastructure & LLM Serving Cheat Sheet
        • Cheat Sheet: Capstone Architecture & Best Practices
        • Platform Engineering Interview Cheat Sheet
        • Internal Developer Platforms Cheat Sheet
        • MLOps & Vector DB Cheat Sheet
        • SRE Cheat Sheet
        • CI/CD & ArgoCD Commands and Concepts
        • Cheat Sheet: Cloud Architecture
        • Cheat Sheets
        • Kubectl & Kubernetes Cheat Sheet
        • Linux Administration Learner Cheatsheet
        • Linux Administration Pro Reference
        • Linux Internals Learner Cheatsheet
        • Linux Internals Pro Reference
        • CI/CD Pipelines & Automation - Cheat Sheet
        • Observability (Prometheus, Grafana) - Cheat Sheet
        • Site Reliability Engineering - Cheat Sheet
        • AI Infrastructure & LLM Serving - Cheat Sheet
        • MLOps & Vector Databases - Cheat Sheet
        • Internal Developer Platform - Cheat Sheet
        • Advanced Systems & Scaling - Cheat Sheet
        • Production Platform Capstone - Cheat Sheet
        • System Design & Interview Prep - Cheat Sheet
        • Networking Fundamentals Learner Cheatsheet
        • Networking Fundamentals Pro Reference
        • Terraform Command & Syntax Cheat Sheet
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Course CatalogPlatform Engineering📚 Curriculum Modules12. Service MeshOpenTelemetry Architecture & Distributed Tracing Fundamentals

OpenTelemetry Architecture & Distributed Tracing Fundamentals

Distributed tracing is essential for tracking requests across microservice boundaries.

Designing Mission-Critical Grafana DashboardsAlertManager Configuration & Actionable Routing

Platform Engineering Course

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