OpenTelemetry Collector deployment, instrumentation (Java/Python/Node.js/.NET/Go), and OTTL pipeline transforms for Coralogix — coralogix exporter config, Helm chart selection, Kubernetes topology, ECS/EKS/GKE deployments, SDK setup, APM transactions, and OTTL cardinality/PII/routing.
98
97%
Does it follow best practices?
Impact
99%
1.13xAverage score across 81 eval scenarios
Advisory
Suggest reviewing before use
{
"context": "Evaluating a Coralogix support response for this user question:\n\nWe enabled opentelemetry-agent.targetAllocator.enabled in the otel-integration chart and have an existing ServiceMonitor selecting our app's /metrics endpoint. The TA pod is running but the metrics aren't reaching Coralogix. The agent collectors don't seem to be scraping the target. How do I figure out whether TA is discovering the ServiceMonitor and distributing it to the collectors?",
"type": "weighted_checklist",
"checklist": [
{
"name": "mentions-port-forward",
"description": "The response contains \"port-forward\" (case-insensitive).",
"max_score": 3
},
{
"name": "jobs-scrape-configs",
"description": "The response matches the pattern: /jobs|/scrape_configs",
"max_score": 3
},
{
"name": "no-stays-on-the-agent-collector-side-receiver",
"description": "Directs the user to port-forward the `coralogix-opentelemetry-targetallocator` service on 8080 and inspect `/jobs` (discovered CRs) and `/scrape_configs` (rendered scrape config) to see what TA thinks it's allocating. Covers at least one of the likely root causes: missing RBAC on the CR API group, a `serviceMonitorSelector` that excludes the CR's namespace/labels, or the CR living in a namespace TA isn't watching. A response that stays on the agent collector side (receivers, exporters, pipeline wiring) without checking TA's own state is a FAIL — that's treating a TA-integration problem as a generic \"metrics not flowing\" problem.",
"max_score": 2
}
]
}evals
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skills
opentelemetry
opentelemetry-collector
references
opentelemetry-instrumentation
opentelemetry-ottl