About this Course
Datadog: Performance Monitoring and APM for Cloud Environments is an intermediate-level course designed to equip DevOps engineers, site reliability engineers, and developers with comprehensive application performance monitoring skills. In today's complex distributed systems landscape, traditional monitoring approaches fail to provide the visibility needed for effective troubleshooting and optimization. This course teaches you to implement Datadog APM solutions that provide end-to-end request tracing, intelligent alerting, and business-impact analysis across cloud-native architectures. Through hands-on labs, real-world case studies, and practical implementation scenarios, you'll master agent deployment strategies, trace analysis techniques, and dashboard design principles that transform raw performance data into actionable insights. Whether you're monitoring microservices on Kubernetes, serverless functions, or hybrid cloud deployments, this course provides the expertise needed to build observability systems that improve user experience, reduce incident response time, and support data-driven performance optimization decisions
What You'll Learn
- Implement agent deployment strategies for performance monitoring
- Analyze request tracing to identify issues
- Design dashboards that transform data into actionable insights
- Monitor microservices on Kubernetes and serverless functions
- Support data-driven performance optimization decisions
Prerequisites
- Basic familiarity with the topic and its common terminology
- Readiness to practice through applied exercises or case-based work
Instructors
Hurix Digital