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.
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Day 3: Fetch Real-Time System Metrics from a Mock API β and Observe the Network Waterfall Delaying Content
Hands-On Frontend Development: Build Production-Ready Web Applications
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Day 2: Distributed Tracing with OpenTelemetry and Zipkin Integration
Troubleshooting Distributed Java Systems: Production-Grade War Room Training
Observability: Metrics, Logs & Tracing lessons by course
Spring Boot Microservices: From Design to Deployment
View course βDesigning and Building a High-Scale PHP Content Management System
View course β- Day 71: OpenTelemetry Pipeline: Setting up OTel SDK and Collector.
- Day 72: Distributed Tracing: Linking requests across services.
- Day 73: Metrics Export: Sending RPS/Latency to Prometheus.
- Day 76: Grafana Dashboards: Visualizing persistent worker health.
- Day 77. SLO Monitoring: Defining error budgets for 100M RPS platforms.
- Day 78: Real-time Alerting: Configuring Prometheus Alertmanager.
Hands On AI Agent Mastery Course
View course βHands-On Distributed Systems Engineering in Go
View course βHands-On Frontend Development: Build Production-Ready Web Applications
View course β- Day 3: Fetch Real-Time System Metrics from a Mock API β and Observe the Network Waterfall Delaying ContentFREE
- Day 20: Build a Data Input Form with Controlled Components β and Handle Complex Validation Logic for User-Provided Metrics
- Day 26: Implement Client-Side Error Tracking with an Observability SDK β and Capture Uncaught Exceptions Before Users Report Them