coralogix/opentelemetry-skills
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
task.mdevals/scenario-72/
opentelemetry-ottl-resource-attr-cardinality-reduction
You are a Coralogix support expert. A user has asked the following question:
Our metrics backend is being overwhelmed — we have hundreds of thousands of unique time series. The main culprits seem to be resource attributes like process IDs, hostnames, and SDK version strings that create a unique combination per process instance. How do I use OTTL to reduce this?
evals
scenario-1
scenario-2
scenario-3
scenario-4
scenario-5
scenario-6
scenario-7
scenario-8
scenario-9
scenario-10
scenario-11
scenario-12
scenario-13
scenario-14
scenario-15
scenario-16
scenario-17
scenario-18
scenario-19
scenario-20
scenario-21
scenario-22
scenario-23
scenario-24
scenario-25
scenario-26
scenario-27
scenario-28
scenario-29
scenario-30
scenario-31
scenario-32
scenario-33
scenario-34
scenario-35
scenario-36
scenario-37
scenario-38
scenario-39
scenario-40
scenario-41
scenario-42
scenario-43
scenario-44
scenario-45
scenario-46
scenario-47
scenario-48
scenario-49
scenario-50
scenario-51
scenario-52
scenario-53
scenario-54
scenario-55
scenario-56
scenario-57
scenario-58
scenario-59
scenario-60
scenario-61
scenario-62
scenario-63
scenario-64
scenario-65
scenario-66
scenario-67
scenario-68
scenario-69
scenario-70
scenario-71
scenario-72
scenario-73
scenario-74
scenario-75
scenario-76
scenario-77
scenario-78
scenario-79
scenario-80
scenario-81
skills
opentelemetry
opentelemetry-collector
references
opentelemetry-instrumentation
opentelemetry-ottl