Pure OpenTelemetry

Fleet management

Track, update and govern the health, performance, and configuration of your entire OpenTelemetry suite, powered by open source OpAMP.

Take your telemetry stack seriously

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Exclusively vanilla OpenTelemetry

Avoid vendor-specific implementations, and leverage pure OpenTelemetry to control and monitor your agents

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Scalable and safe

Manage multi-version, validated OTel configuration, and roll out across a subset or your entire suite of OpenTelemetry agents

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Deeply connected to production

Track the health of the agent, its underlying host, adjacent services, and more, to identify the true cause of a drop in telemetry

Monitor and configure an OTel fleet at any scale

Attribute based agent deployment

Select target collectors by attributes and metadata, and push specific versions of defined OpenTelemetry configuration remotely from Coralogix fleet management.

No vendor-weirdness or hijacked OTel

Coralogix fleet management (like the entire Coralogix platform) is completely compatible with vanilla OpenTelemetry, eliminating the pressure to deploy vendor-specific solutions into your infrastructure.

Define, diff, deploy

Before pushing a new configuration version to your collectors, Coralogix fleet management will diff and show the before & after changes, to ensure that your intended changes match exactly with the planned updates to your OTel fleet.

Track infrastructure coverage

Iteratively expand your fleet to cover your entire cloud estate, and track progress in the fleet management interface, with direct access to the Coralogix Infrastructure Explorer for deeper analysis.

Single click activation

Enable Coralogix fleet management with a single toggle switch in the guided installation process, or add a few lines of YAML to your existing OpAMP exporter.

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.