Cribl.Cloud

Configure Cribl.Cloud to collect logs from various sources (e.g., cloud platforms, on-premise servers, applications).

Use Cribl Stream to filter, enrich, and transform the logs to a consistent format.

Route the processed logs to multiple destinations, such as SIEM for security analysis and data lake for long-term storage.

Utilize Cribl Search for ad-hoc querying and investigation of logs across different data stores.

Deploy Cribl Edge to collect security-related events from endpoints and network devices.

Use Cribl Stream to filter out noise and prioritize high-value security events based on predefined rules.

Enrich security events with threat intelligence data to improve threat detection accuracy.

Route the filtered and enriched events to the SIEM solution for analysis and alerting.

Collect metrics, traces, and logs from applications and infrastructure using Cribl Edge or Stream.

Aggregate and downsample metrics to reduce storage costs and improve query performance.

Correlate traces and logs to provide a complete view of application performance and dependencies.

Route the processed telemetry data to monitoring and analytics platforms for visualization and analysis.

Use Cribl Stream to cleanse, transform, and enrich data before storing it in the data lake.

Implement data governance policies to ensure data quality and compliance.

Catalog and index data to improve discoverability and accessibility.

Utilize Cribl Search to query and analyze data in the data lake.

Set up Cribl.Cloud in the target cloud environment.

Configure Cribl Stream to replicate data from on-premise or legacy systems to the cloud.

Use Cribl Edge to collect data from cloud-native applications and services.

Validate data integrity and consistency after migration.