CoreLens Cloud Documentation
Everything you need to ship observability from day one.
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Quick Start
Get up and running with CoreLens Cloud in under five minutes. Deploy your first agent and start ingesting data immediately.
API Reference
Full reference for every REST and gRPC endpoint. Authenticate, query, and stream observability data programmatically.
Integrations
Connect CoreLens to your existing stack — Kubernetes, AWS, GCP, Datadog, PagerDuty, Slack, and 40+ more.
SDKs
Official client libraries for every major language with auto-instrumentation, structured logging, and trace propagation.
Configuration
Fine-tune every aspect of the CoreLens agent — sampling rates, log redaction, retention policies, and AI thresholds.
Alerting
Define alert rules, escalation paths, and on-call schedules. AI-powered grouping reduces noise by up to 90%.
Dashboards
Build pixel-perfect dashboards with drag-and-drop panels, live queries, and shareable public links.
Security
Role-based access, SSO, audit logs, and data residency options to satisfy the strictest compliance requirements.
Up and running in four steps
From zero to full-stack observability in under ten minutes.
Install Agent
Deploy the CoreLens agent with a single command across any environment.
curl -sSL https://get.corelenscloud.com | sh
Connect Sources
Point your logs, metrics, and traces at the CoreLens ingest endpoint.
corelens sources add --auto-detect
Configure AI
Enable AI incident detection with one line of configuration.
ai_features: enabled: true
View Dashboard
See all your observability data unified in real time.
corelens dashboard open
# corelens-agent.yaml
endpoint: https://ingest.corelenscloud.com
api_key: ${CORELENS_API_KEY}
sources:
- type: kubernetes
namespace: production
- type: docker
- type: linux_syslog
ai_features:
enabled: true
incident_detection: true
Drop this file next to your agent binary or pass it with --config. All fields support environment variable interpolation.
Popular guides
The most-read articles across our documentation.
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