Datadog Monitoring and Observability: From Setup to APM

In today's cloud-first world, maintaining deep visibility into complex application stacks is critical for preventing downtime and optimizing system performance. This text-based course teaches you how to leverage Datadog to monitor infrastructure, track application health, and troubleshoot issues in real time. You will progress from understanding core observability concepts to configuring agents, building custom dashboards, and instrumenting applications. By reading through clear explanations and studying practical configuration examples, you will gain the skills needed to manage logs, metrics, and traces across your entire system. What you'll learn: - Understand the foundational principles of observability, including metrics, logs, and traces. - Configure the Datadog Agent on host machines and containerized environments. - Analyze system logs and set up structured log pipelines for efficient troubleshooting. - Instrument applications using Application Performance Monitoring (APM) to track request flows and latency. - Design clear, actionable dashboards and configure proactive monitors to alert you to anomalies. - Apply modern open standards by exploring how Datadog integrates with OpenTelemetry. The course begins with essential monitoring concepts and agent installation before moving into log management, APM, and continuous profiling. You will then explore advanced topics like sensitive data scanning, role-based access control, and dashboard customization through detailed, written step-by-step guides. This course is designed for beginners, system administrators, and developers looking to adopt modern observability workflows, with no prior Datadog experience required. Start building robust monitoring pipelines and ensure your applications run smoothly under any load.