Coralogix - Observability and Application Monitoring Tool

Coralogix

Coralogix

Founded by Lior Barak in 2014

Monitor logs, metrics, and traces across your entire stack with AI

Cost

Demo

Rating

People love it

Time to value

Moderate Setup (1-3 hours)

You can use Coralogix to collect and analyze logs, metrics, and traces from your entire infrastructure in one place. It stores telemetry data in your own cloud storage in open formats, so you avoid vendor lock-in. You can query all data types with a single unified syntax, set up AI-driven investigations through chat or CLI, correlate events across signals, and build dashboards with reusable datasets. It also routes low-priority data to cheaper storage automatically to cut costs.

What Coralogix does

Ingest logs, metrics, and traces from multiple sources into one data layerQuery historical and live telemetry using a single unified syntaxInvestigate incidents through a conversational AI chat interfaceSet up cost optimization rules to route low-priority logs to cheap cloud storageCreate dashboards using reusable shared datasets across teamsReceive monitoring alerts and investigation results directly inside Slack or PagerDutyAutomate investigation scripts using the CLI and integrate them with CI/CD pipelinesDefine data retention policies to store telemetry indefinitely in your own cloudStores all telemetry data in your own cloud account in open formats with no vendor lock-inAI chat interface lets you investigate incidents using natural language questionsSingle query syntax works across logs, metrics, and traces whether data is live or archivedReusable datasets speed up dashboards and prevent repeated queriesAutomatically routes low-value logs to cheaper storage to reduce costs by up to 50%Connects to Slack, PagerDuty, and your IDE via MCP so AI insights appear where you workCLI lets you script investigations and pipe results into runbooks or CI/CD workflowsSupports infinite retention with no need to rehydrate archived data

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Coralogix, observability, log management, metrics monitoring, distributed tracing, AI investigation, data lake, telemetry, high cardinality, cost optimization, cloud-native monitoring, unified query, OpenTelemetry, APM, DevOps monitoring