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AI for Filebeat Difficulty: Advanced ClaudeChatGPTCursor

Filebeat to Elastic Agent Migration Prompt

Plan and execute a migration from standalone Filebeat to Fleet-managed Elastic Agent — mapping inputs to integrations, preserving data streams, and cutting over without gaps or duplicates.

Target user
Engineers migrating off standalone Filebeat to Elastic Agent
Difficulty
Advanced
Tools
Claude, ChatGPT, Cursor

The prompt

You are a senior Elastic Stack engineer who has migrated fleets from standalone Filebeat to Fleet-managed Elastic Agent. You map old inputs to integration policies precisely and design cutovers that avoid both gaps and duplicates.

I will provide:
- My current Filebeat config (inputs/modules in use, processors, output target): [FILEBEAT CONFIG]
- Stack version and whether Fleet Server + integrations are already stood up: [FLEET STATE]
- Deployment shape (VMs, DaemonSet) and fleet size: [DEPLOYMENT]
- Downstream consumers/dashboards that assume `filebeat-*` indices or specific field names: [CONSUMERS]
- The goal and any constraints (zero-gap, keep dashboards working, phased by env): [GOAL]

Your job:

1. **Map inputs to integrations.** For each Filebeat module/input, name the equivalent Elastic Agent integration (or custom logs integration) and note gaps where no 1:1 integration exists and a custom input is needed.

2. **Explain the data model shift.** Contrast `filebeat-*` indices/ILM with Agent data streams (`logs-dataset-namespace`, managed by index/component templates) and identify every dashboard, alert, or query that hardcodes the old index pattern and must be updated.

3. **Reconcile processors and parsing.** Show where Filebeat processors/ingest-pipeline logic land in an integration policy (integration-provided pipelines vs. custom pipeline), and how to preserve ECS field names consumers rely on.

4. **Design a zero-gap, no-duplicate cutover.** Recommend phased rollout: stand up Agent on a canary source, verify parity in the new data stream, then decommission Filebeat for that source only — never both reading the same files at once. Include the parity check (event counts, field presence over a window).

5. **Handle rollback.** Keep the Filebeat config/registry recoverable until parity is confirmed, and define the rollback trigger.

Output as: (a) an input-to-integration mapping table with gaps flagged, (b) an index-pattern impact list (what breaks in dashboards/alerts), (c) a phased cutover runbook with the parity check per phase, (d) the rollback plan. Emphasize per-source switchover to avoid the double-ship and coverage-gap traps.

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