Coralogix
Official@coralogix
Real-time insights and trend analysis for logs, metrics, and security data with no reliance on storage or indexing
Agent Skills by Coralogix
Showing 15 vetted skills indexed across 2 GitHub repositories.
opentelemetry-collector
Configure and troubleshoot OpenTelemetry Collector pipelines for Coralogix ingestion.
opentelemetry-instrumentation
Configure OpenTelemetry SDKs for Java, Python, Node.js, .NET, and Go to export telemetry to Coralogix.
opentelemetry-semantic-conventions
Diagnose OpenTelemetry attribute mismatches causing missing Coralogix telemetry data.
opentelemetry-ottl
Write and debug OTTL statements for OpenTelemetry Collector pipelines.
add-skill
Document and scaffold new cx skills with frontmatter and repository updates.
run-tests
Run cargo test, fmt, and clippy for the cx CLI codebase.
create-pr
Create GitHub pull requests with auto-generated titles and summaries.
add-command
Automate adding a new cx CLI subcommand with templates, wiring, and tests.
cx-alerts
Manage Coralogix alert definitions via the CX CLI across profiles and regions.
query-logs
Query and analyze Coralogix logs using DataPrime syntax.
rum
Query Coralogix RUM data with cx logs and DataPrime syntax.
metrics-query
Run PromQL queries via cx metrics CLI for production metrics analysis.
query-spans
Query distributed tracing spans with DataPrime syntax to locate latency and errors.
create-dashboard
Plan, discover telemetry, and validate Coralogix dashboards before deployment.
dataprime
Provide a DataPrime language reference for querying logs, spans, and observability data.
Frequently Asked Questions About Coralogix
FAQPage SchemaWhat specific tasks can be performed using these observability capabilities?▼
Users can execute complex queries against logs, metrics, and distributed tracing spans using DataPrime syntax. Additionally, the platform enables the management of alert definitions, dashboard validation, and the configuration of OpenTelemetry Collector pipelines to ensure accurate telemetry ingestion and attribute mapping across production environments.
Which technical personas benefit most from these observability skills?▼
Site Reliability Engineers, DevOps practitioners, and backend developers benefit most from these capabilities. These personas utilize the provided interfaces to troubleshoot production latency, diagnose missing telemetry data, and maintain standardized observability configurations across distributed systems and multi-region infrastructure deployments.
What are the primary prerequisites for implementing these telemetry configurations?▼
Implementation requires an existing Coralogix account and a configured OpenTelemetry environment. Users must have familiarity with OpenTelemetry semantic conventions, OTTL statement syntax, and PromQL for metric analysis to effectively configure ingestion pipelines and perform deep-dive diagnostics on distributed system performance.