Pure OpenTelemetry
Fleet management
Orchestrate, govern, and scale your observability pipelines with a centralized catalog and remote configuration powered by OpAMP
Take your telemetry stack seriously
Built for vanilla OpenTelemetry
Avoid vendor-specific implementations, and leverage pure OpenTelemetry to control and monitor your agents
Scalable and safe across roll-outs
Manage versioned configurations at scale with real-time previews, diffs, and health monitoring across a subset or your entire fleet.
Deeply connected to production
Track the environmental data of the agent, its underlying host, and adjacent services, to identify the true cause of a drop in telemetry
Manage your telemetry collectors at scale
Watch now and discover how Fleet Management helps control your telemetry at scale. Use the Agent Catalog to spot drift and outliers. Leverage Supervisor-enabled configurations to standardize environments and roll out updates confidently. The result is a reduction in your total operational effort and risk.
Monitor and configure an OTel fleet at any scale
Attribute based agent deployment
Select target collectors by attributes and metadata, and activate a version of the defined OpenTelemetry configuration remotely from Coralogix fleet management.
Pure OTel without fragmentation
Leverage vanilla OpenTelemetry using our Supervisor-led model built entirely on the OpAMP open standard. This ensures ecosystem compatibility while eliminating vendor lock-in.
Visual pipeline composition
Architect, validate, and scale complex OpenTelemetry collector configurations through a drag-and-drop canvas without writing manual YAML code.
Define, diff, deploy
Review diffs before activation to confirm intended changes. This ensures your updates align with your OTel fleet’s requirements before pushing new configurations.
Track infrastructure coverage
Identify instrumentation coverage gaps across your estate and jump into infrastructure views for deeper analysis. Expand your fleet iteratively within a single interface.
Single click activation
Get up and running quickly through supported integrations. Remote configuration requires Supervisor-enabled agents, configured via Kubernetes Helm presets.
Scalable observability for your systems
Scalable observability for your systems
In-stream analysis
Continuous, real-time monitoring of AI interactions, detecting risks and performance issues before they impact users.
Infinite retention
Ensures historical AI data remains accessible for long-term trend analysis and deep troubleshooting without data loss.
DataPrime engine
Tracks token usage and suspicious resource consumption, helping teams prevent cost overruns while maintaining AI efficiency.
Remote, index-free querying
Lightning-fast searches without the overhead of indexing, ensuring real-time AI observability without unnecessary storage costs.
