Observability: Metrics, Logs & Tracing

Observability is how you understand a running system from the outside. Learn metrics, structured logs, distributed tracing, dashboards and alerting with Prometheus- and OpenTelemetry-style tooling.

65 lessons across 27 courses

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Observability: Metrics, Logs & Tracing lessons by course

Spring Boot Microservices: From Design to Deployment

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  1. Day 66: The Observability Pillar: Metrics.
  2. Day 67: The Observability Pillar: Tracing.
  3. Day 68: The Observability Pillar: Logging.
  4. Day 69: OpenTelemetry (OTel) Collector.
  5. Day 70: Visualization with Grafana.
  6. Day 71: Distributed Tracing with Kafka.
  7. Day 77: Alerting and SLOs.

Designing and Building a High-Scale PHP Content Management System

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  1. Day 71: OpenTelemetry Pipeline: Setting up OTel SDK and Collector.
  2. Day 72: Distributed Tracing: Linking requests across services.
  3. Day 73: Metrics Export: Sending RPS/Latency to Prometheus.
  4. Day 76: Grafana Dashboards: Visualizing persistent worker health.
  5. Day 77. SLO Monitoring: Defining error budgets for 100M RPS platforms.
  6. Day 78: Real-time Alerting: Configuring Prometheus Alertmanager.

Hands On AI Agent Mastery Course

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  1. Lesson 2: Production Integration & Monitoring
  2. Day 13: Advanced Tool Orchestration & Monitoring
  3. Day 17: Self-Healing & Security Monitoring
  4. Day 26: Advanced Observability & Operations

Hands-On Distributed Systems Engineering in Go

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  1. Day 74: Storage Device Performance Monitoring
  2. Day 76: Monitoring the Four Golden Signals
  3. Day 77: Distributed Tracing with OpenTelemetry
  4. Day 87: Canary Deployments and Observability

Hands-On Frontend Development: Build Production-Ready Web Applications

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  1. Day 3: Fetch Real-Time System Metrics from a Mock API β€” and Observe the Network Waterfall Delaying ContentFREE
  2. Day 20: Build a Data Input Form with Controlled Components β€” and Handle Complex Validation Logic for User-Provided Metrics
  3. Day 26: Implement Client-Side Error Tracking with an Observability SDK β€” and Capture Uncaught Exceptions Before Users Report Them

Linux Server Administration: Build a Secure Headless Home Lab

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  1. Day 40: Monitoring Active Sessions with smbstatus – The Unseen Guardians of Your Home Lab
  2. Day 64 : Monitoring Network Latency with eBPF Probes – The Kernel’s Whisper
  3. Day 75 : Visualizing System Metrics with Grafana and Prometheus

MLOps Engineering – From Training to Automated Production

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  1. Day 23: Logging with Precision: Parameters, Metrics, and Model Signatures.
  2. Day 80: Bias and Fairness Monitoring: Identifying Disparate Impact in Real-Time
  3. Day 82: Observability beyond Metrics: Tracing, Logging, and Introspection

Troubleshooting Distributed Java Systems: Production-Grade War Room Training

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  1. Day 2: Distributed Tracing with OpenTelemetry and Zipkin IntegrationFREE
  2. Day 5: Prometheus Metrics Collection and Grafana Dashboard Creation
  3. Day 21: Arthas Toolkit Mastery: Real-Time Method Tracing and Monitoring

Hands-On Distributed Systems Engineering in Java

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  1. Day 10: Observability – Metrics, Logs, and Traces
  2. Day 23: Regional Monitoring and Fault Detection
  3. Day 45: MLOps – Deploying and Monitoring Hyperscale Models

Distributed Key Value Store : DurableKV

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  1. Day 5: Add Structured Logging and Basic Metrics to Observe Service Health β€” and Identify Bottlenecks
  2. Day 26: Add Distributed Tracing to Follow Requests End-to-End β€” and Pinpoint Latency Hotspots

Hands On Kafka Course

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  1. Lesson 8 : Connect Observability, CDC & Database Integration
  2. Lesson11 : Monitoring, Logging & Kafka Security

Architecting Enterprise Platforms on Local Systems

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  1. Day 68: The Unseen Pulse – Building a Local Metrics Backbone
  2. Day 69: Success Queries – The Unseen Hand of Local Observability

Practical AI System Architecture: Building Intelligent Systems with LLMs, RAG, and Agent Frameworks

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  1. Day 18 RAG Evaluation and Metrics: Quantifying Retrieval Performance for Production
  2. Day 28 Observability and Monitoring for Agents: Tracing, Logging, and Performance Metrics

Flutter App Development: High-Fidelity Travel App Engineering

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  1. Day 61: Fare Volatility Monitoring: Building dashboards to track dynamic pricing latency.
  2. Day 87: Performance Monitoring: Integrating Firebase Performance to track production jank.

SQL & Relational Databases for Beginners: Building a Resilient Retail Catalog

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  1. Day 8: Load Test Your System & Find the Hotspots β€” Then Implement Basic Monitoring and Optimization.

Node.js Backend: Express, APIs & Auth β€” From Startup to Hardened Service

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  1. Day 6: Instrument API with Metrics and Tracing β€” and Pinpoint a Latency Hotspot

Hands-on Task Scheduler Implementation with Java Spring Boot: Ultra Scalable Systems

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  1. Lesson 9 : Observability & Monitoring

Hands On Kubernetes Course

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  1. Lesson 7: Monitoring & Logging

Hands On FullStack Development Course with Infrastructure Management Product implementation

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  1. Lesson 4: Metrics Collection Platform

DevOps Engineering Course – Building Ultra-Scalable Platforms

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  1. Lesson 5 : Comprehensive Observability

Hands On AI Engineering Course – AI Powered Quiz Implementation

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  1. Lesson 6 DevOps: One Docker Compose Stack for Config, CI/CD, Backups, and Production Monitoring

System Design with Data Structures & Algorithms

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  1. Day 78: Observability

Ai Models From Scratch Beginners Edition

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  1. Day26 :Metrics Dashboard

Building a Geospatial Data Warehouse with PostgreSQL & PostGIS

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  1. Day 19: Monitoring with pgstattuple

Advanced Java for Banking and Ledger Systems

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  1. Day 81: Monitoring GC Safepoints

MongoDB 8: From Basics to Scalable Architecture

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  1. Day 9: Hazard Pointer Monitoring

Modern Frontend Mastery: Building a SaaS Dashboard

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  1. Day 7 : Designing Resilient API Integrations: Fetching Dashboard Metrics with TanStack Query

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