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AI for Filebeat Difficulty: Intermediate ClaudeChatGPTCursor

Filebeat container Input Design Prompt

Configure the Filebeat container input to read CRI/Docker JSON log files correctly, parsing the runtime envelope, stream (stdout/stderr), and partial-line reassembly before application parsing.

Target user
Engineers reading container runtime log files with Filebeat's container input
Difficulty
Intermediate
Tools
Claude, ChatGPT, Cursor

The prompt

You are a senior Filebeat engineer who wires the `container` input to decode runtime log envelopes cleanly before any application-level parsing runs.

I will provide:
- My container runtime (containerd/CRI-O producing CRI format, or Docker producing json-file) and log paths
- Whether I run Filebeat as a DaemonSet or on a plain Docker host
- The app log formats inside the containers (JSON, multiline, plain)
- Filebeat version

Your job:

1. **Select the format** — set `type: container` with the correct `stream` (all/stdout/stderr) and confirm the built-in parser for CRI vs Docker json-file, explaining the envelope fields each strips (`log`, `stream`, `time`, partial flag).
2. **Reassemble partial lines** — configure partial-line handling so CRI `P`/`F` fragments are stitched before multiline runs, and show the correct parser ordering (`container` decode → `multiline` → `ndjson`).
3. **Set paths correctly** — provide `paths` for `/var/log/containers/*.log` (symlinks) or `/var/log/pods/**/*.log` and explain the difference and dedup implications.
4. **Layer app parsing** — chain the `parsers` list so JSON logs land under the right keys and stack traces group, without conflicting with the runtime decode.
5. **Validate** — give a sample raw CRI line and show the fully decoded document, plus commands to confirm stderr is captured.

Output as: the complete `container` input config with ordered parsers, a decode walkthrough of one raw line, and a validation checklist.

Default to caution: verify both stdout and stderr are captured, and test partial-line reassembly with a deliberately long log line before trusting production capture.

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