Stay ahead with proactive monitoring
Infrastructure monitoring
When infrastructure breaks, every application on top of it follows. With Coralogix, catch issues early, across cloud providers, accounts, and environments.

Investigate your infrastructure down to the process level
Link infra to impact
Correlate infrastructure metrics with logs and traces to reveal how backend issues impact performance and business outcomes.

Reduce MTTD and MTTR
Detect like CPU spikes, memory saturation, and node instability at the infra layer before they turn into degraded customer experience.

Debug faster
Trace from incident to root cause in seconds, not hours.Track every configuration drift, resource change, and performance shift over time.
Centralize your infrastructure footprint
Ingest infrastructure data across every cloud, account, and environment into one unified view. Monitor every host, container, cluster, and network interface in real-time with standardized templates and automated discovery.
Surface insights in seconds, not hours
Collect and contextualize hundreds of metrics per host using OpenTelemetry and instantly correlate them with logs and traces. Whether it’s a degraded server or a network interface issue affecting communication, you can trace the problem to application impact in two clicks.

Treat your infrastructure like a service
Manage infrastructure with the same discipline as production services—assign ownership, enforce SLAs, and ensure reliability from the ground up.
End-to-end infrastructure visibility
Continuously collect metadata like tags, regions, and instance types for every resource, and retain historical snapshots to track how infrastructure evolves over time.
Automatically snapshot configurations and detect drift to catch misalignments early and prevent unexpected behavior across environments.
Visualize dependencies between services, nodes, and components to understand upstream and downstream impact during investigations.
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.