Learning Center

Custom metrics are essential for monitoring your applications and infrastructure, but without proper governance they can lead to cost impact, query performance degradation, and reduced monitoring efficiency. This course teaches you the complete governance lifecycle: responding to alerts, investigating root causes, optimizing with Metrics without Limits, identifying unused metrics, and preventing future spikes.

You'll work through a realistic scenario where a deployment causes a sudden metrics spike at an e-commerce company. You'll learn to use Bits AI SRE for fast root cause analysis, validate findings with Datadog's governance tools, apply Metrics without Limits to reduce cardinality, use Query Activity to find and stop indexing stale metrics, and implement proactive monitoring and governance safeguards.

By the end of this course, you will be able to:

• Interpret metrics usage alerts and navigate the Custom Metrics Usage dashboard
• Use Bits AI SRE to quickly identify root causes of metrics spikes
• Validate AI findings using Metrics Volume Management and Metrics Explorer
• Apply Metrics without Limits to reduce cardinality while maintaining visibility
• Identify unused metrics using Query Activity and reduce costs with empty tag configurations
• Create change monitors for layered usage detection
• Configure governance safeguards including RBAC permissions and Audit Trail