Observability: Monitoring, Logging, and Distributed Tracing

Modern distributed systems are complex, making it difficult to pinpoint why failures occur or where performance bottlenecks exist. This course provides a solid foundation in observability, teaching you how to collect, visualize, and analyze system data to ensure reliability and uptime. You will gain the skills to transform raw data into actionable insights, moving beyond simple uptime checks to a comprehensive understanding of system health. By the end of this course, you will be able to implement professional monitoring and troubleshooting workflows for any environment. What you'll learn: - Understand the fundamental differences between monitoring, logging, and distributed tracing - Configure Prometheus to collect system metrics and set up Grafana for data visualization - Implement centralized logging using the ELK stack to search and analyze logs efficiently - Apply distributed tracing with Tempo to track requests across microservices - Define Service Level Indicators (SLIs) and Objectives (SLOs) to measure system reliability - Adopt OpenTelemetry standards for modern, vendor-neutral data collection - Practice troubleshooting techniques using real-world observability patterns The course begins with essential terminology and foundational concepts before moving into the practical application of metrics, logs, and traces. You will read through detailed explanations and code snippets that demonstrate how to configure and integrate industry-standard tools. This course is designed for beginner DevOps engineers, system administrators, and developers who want to improve system visibility. No prior experience with observability tools is required. Start building more resilient and transparent systems today.