dt-obs-tracing
SolidDistributed traces, spans, service dependencies, and request flow analysis. Use when investigating span-level details, failures, performance bottlenecks, or trace correlation. Trigger: "trace analysis", "slow requests", "failed spans", "service dependencies", "distributed trace", "span details", "HTTP status codes in traces", "database query spans", "messaging spans", "gRPC calls", "Lambda cold starts", "trace ID lookup", "exception analysis", "correlate logs and traces", "request attributes". Do NOT use for explaining existing queries, product documentation or configuration questions, service-level RED metrics (use dt-obs-services), log searching (use dt-obs-logs), or problem analysis (use dt-obs-problems).
Install
Quality Score: 88/100
Skill Content
Details
- Author
- Dynatrace
- Repository
- Dynatrace/dynatrace-for-ai
- Created
- 3 months ago
- Last Updated
- 3 days ago
- Language
- Shell
- License
- Apache-2.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
distributed-tracing-instrumenter
Instrument a service (or a chain of services) with OpenTelemetry so a single request can be followed end-to-end — context propagated across every hop including async/queue boundaries, spans at the boundaries that matter, deliberate trace-wide sampling, and trace_id stamped on log lines. Use when latency or failures span multiple services, when you have logs but can't reconstruct a request's full path, or when adopting OpenTelemetry.
dt-obs-logs
Log querying, filtering, pattern analysis, and error rate calculation. Use when searching application or infrastructure logs, analyzing error patterns, or correlating log data. Trigger: "show error logs", "search logs for keyword", "log error rate", "recent errors", "logs from last hour", "find log entries", "top error messages", "log patterns", "parse JSON logs", "logs by process group", "log trends over time", "log entry counts per minute". Do NOT use for explaining existing queries, product documentation questions, distributed tracing or span analysis (use dt-obs-tracing).
dt-obs-services
Service performance monitoring with RED metrics (Rate, Errors, Duration) and runtime-specific telemetry for Java, .NET, Node.js, Python, PHP, and Go. Use when analyzing service health, SLA compliance, or runtime issues. Trigger: "service response time", "error rate", "throughput", "SLA compliance", "service mesh overhead", "JVM GC", "Java heap", "Node.js event loop", ".NET CLR", "Python threads", "PHP OPcache", "Go goroutines", "service performance", "p95 latency", "request failures", "database response time by name". Do NOT use for explaining existing queries, product documentation questions, infrastructure metrics (use dt-obs-hosts), log analysis (use dt-obs-logs), or distributed tracing workflows (use dt-obs-tracing).