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Contextual Data Analysis

Correlate Contextual Data with System Health Metrics

Get added context and deeper system observability by ingesting small pockets of data that can be correlated to errors and system health metrics.

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Small Data, Big Value

Sources of small data within an organization are often overlooked as either not holding much value or as noise. However, when we consider diagnostics and the information that we need for system observability, these small pockets of data can hold tremendous value.

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Cloud Availability Reports

View your cloud provider’s availability status and events together with your own data to quickly triage whether an issue is caused by your environment or a cloud service issue.

Repository Insights

Get insights around any commit or pull request in your repository within the context of your production data to understand how code changes affect your system.

CI/CD Events

View your data in the context of version deployments to quickly isolate issues caused by new deployments in staging or production environments.


Collect any notifications sent to SNS in your AWS account then correlate them with production events generated by your systems.

Alert Aggregators

Ingest all alert sources together into Coralogix for alert correlation, visualization, and incident context.

Corporate Chats

Record messages in public Slack channels for maximum compliance, security, and conversational context to your machine data.

3rd Party Status Pages

Track all of your 3rd party status pages for immediate alerting on any 3rd party impact on your production quality or stability.

Support Platforms

See your Intercom support chats together with your machine data to unify incident response and impact analysis within seconds.

Security Events

Connect your cloud and CDN audit logs and infrastructure audit for maximum control and correlation with logs, metrics, and security data.

ML-Powered, Contextual Alerting

The most extensive alerting mechanism in the market, Coralogix pinpoints critical issues and dramatically reduces false positives to avoid alert fatigue. Track the critical parts of your system and SLOs using advanced alerts including:

  • Dynamic thresholds
  • ‘Ratio between’ queries
  • New value detection
  • Cardinality alerts
  • Query sequences
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Built for Fast-Paced Environments

Contextual data around deployments or system changes helps to correlate events with new releases to reduce issue resolution time, decrease maintenance costs, and improve customer satisfaction.

Version benchmarks are generated when new code is released and can be integrated directly to any deployment pipeline to enable teams to implement better feedback loops and keep up with fast-paced development cycles.

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Seamless Visualization and Familiar Syntax

Visualize your data anywhere including in our purpose-built UI, Kibana, Grafana, SQL clients, Tableau, or using our CLI and full API support. Our support team will be available to help you migrate your existing Kibana visualizations and alerts or to set up new ones.

Use any syntax, including the familiar ELK syntax, for quick and easy on-boarding and no vendor lock-in.

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It checked all the boxes for a unified platform.
florent capgemini

Florent Bruel - Solution Architect at Capgemini

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100+ Integrations

Ingest data from anywhere and in any format using over 100 integrations or our REST API.

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Your data is telling yesterday’s story —
Find out what it can tell you today.