Analyze service health with RED metrics and DQL queries.
npx skills add https://github.com/Dynatrace/dynatrace-for-ai --skill dt-obs-services
Please help me install this Agent Skill. Skill: dt-obs-services Source: https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-obs-services Command: npx skills add https://github.com/Dynatrace/dynatrace-for-ai --skill dt-obs-services
Service observability can be complex; dt-obs-services provides a unified view of RED metrics, runtime telemetry, and advanced service analysis across multiple runtimes to simplify monitoring and troubleshooting.
Load the dt-obs-services skill and start querying service health and performance using the included references.
High-intent search queries and answers about installing and using this skill.
Monitor microservices performance by tracking RED metrics—Rate, Errors, and Duration—to evaluate throughput, reliability, and latency across your services. This Skill queries runtime telemetry to provide service performance benchmarks using DQL against the Dynatrace telemetry schema.
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Runtime-specific monitoring references support Java, Node.js, .NET, Python, PHP, and Go to diagnose language-specific behavior. You can analyze runtime telemetry like garbage collection, memory usage, and thread metrics for these environments.
Analyze service latency and SLA tracking using span-based queries for endpoint-level insights. This approach leverages metrics-based timeseries and distributed tracing data to monitor service health and enforce service level agreements.
Cross-service and multi-cluster comparisons identify trends, anomalies, and correlations across your architecture. By applying unified RED metrics and runtime telemetry analysis, you can benchmark relative service performance and detect behavioral deviations.
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AnastasiyaWAudit Prometheus alert rules using the RED method.
