VisiCore’s Cribl Migration Checklist: From On-Prem to Cribl Cloud Managed
Migrating from on-prem to a managed Cribl Cloud deployment empowers your business to scale faster, cut operational costs, and strengthen compliance. With a clear roadmap and proven best practices, your team can unlock the full value of Cribl while staying focused on driving insights and innovation.
1. Pre-Migration Planning
- Create Data Inventory – Audit current on-prem environment:
- Sources (syslog, API, collectors, etc.)
- Destinations (SIEMs, storage, observability tools)
- Pipelines, routes, and packs in use
- Worker groups, nodes, and load balancers
- Identify a migration project team (Cribl admins, DevOps, networking, security, and business stakeholders).
- Document compliance, encryption, and data sovereignty requirements.
- Identify dependencies (proxies, firewalls, TLS certs, Redis/state tracking, NFS).
2. Platform Evaluation & Readiness
- Compare feature differences between on-prem and Cribl Cloud (scaling, security, observability).
- Decide deployment model: Full Cloud (Cribl Cloud managed workers) vs. Hybrid (workers on-prem, Leader in Cloud).
- Verify network connectivity requirements (firewall rules, outbound ports for workers).
- Confirm authentication/SSO integration (Local, Okta, Azure AD, etc.).
- Review monitoring/metrics strategy (e.g., forwarding Cribl internal metrics).
3. Configuration Inventory & Export
- Export routes, pipelines, packs, datasets, and knowledge objects from on-prem Cribl.
- Validate custom JavaScript functions, regex, and break logic.
- Export/review environment variables and secrets management.
- Check version alignment between on-prem and Cribl Cloud (upgrade if needed).
4. Cribl Cloud Setup
- Provision Cribl Cloud environment (Leader, workspaces, team invites).
- Configure/Bootstrap worker groups (Cloud workers and/or hybrid on-prem workers).
- Apply RBAC and team roles.
- Set up secrets and environment variables in Cloud.
5. Migration Execution
- Recreate sources, destinations, and routes in Cribl Cloud.
- Import or manually rebuild pipelines/packs.
- Validate dataset design (Lake, S3, Blob, etc.).
- Test routing logic with sample data.
- Stage migrations by source or dataset (phased approach).
6. Validation & Testing
- Validate event counts, throughput, and latency before/after migration.
- Compare output between on-prem and Cribl Cloud for accuracy.
- Confirm dashboards, alerts, and SIEM/SOAR detections still function.
- Run canary deployments (limited data sources – start small) before cutover.
7. Cutover & Decommission
- Plan cutover window and rollback procedures.
- Redirect production data sources to Cribl Cloud endpoints.
- Monitor ingestion, routing, and destination health.
- Archive old configs for rollback/reference.
8. Post-Migration Optimization
- Review and update documentation (architecture diagrams, runbooks).
- Conduct knowledge transfer with stakeholders.