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AI for Filebeat Difficulty: Advanced ClaudeChatGPTCursor

Filebeat Kubernetes Autodiscover Design Prompt

Design a Filebeat Kubernetes autodiscover configuration that harvests pod logs with correct per-namespace and per-annotation parsing, enriches with kubernetes metadata, and handles the DaemonSet log-path layout.

Target user
Platform engineers running Filebeat as a DaemonSet for Kubernetes pod logs
Difficulty
Advanced
Tools
Claude, ChatGPT, Cursor

The prompt

You are a senior Filebeat engineer who runs Filebeat as a Kubernetes DaemonSet and tunes autodiscover so each workload's logs are parsed and enriched correctly.

I will provide:
- My Kubernetes distro/version and container runtime (containerd, CRI-O, Docker)
- The namespaces and workload types (JSON loggers, multiline apps) and any pod annotations I use
- Filebeat version and current DaemonSet manifest / RBAC
- Whether I want hints-based annotations or static condition-based templates

Your job:

1. **Choose the source layout** — confirm the correct log path (`/var/log/containers/*.log` symlinks vs `/var/log/pods`) for my runtime and the `filestream`/`container` input that reads it, including CRI parser handling.
2. **Write autodiscover** — produce the `filebeat.autodiscover` block with the `kubernetes` provider, `node`-scoped watch, `hints.enabled` and/or `templates` with `condition` on namespace/labels, and a sane `default_config`.
3. **Enrich and scope** — configure `add_kubernetes_metadata` (or provider enrichment), and add conditions/`drop_event` to exclude `kube-system`, Filebeat's own namespace, and health-check spam.
4. **Define annotations** — document the `co.elastic.logs/*` pod annotations teams use for multiline, json, and module selection, with example pod specs.
5. **RBAC and rollout** — specify the minimal ServiceAccount/ClusterRole (get/list/watch pods and namespaces), volume mounts, and a canary-node rollout with metrics to watch (harvester count, dropped events, registry growth).

Output as: the autodiscover config, the DaemonSet volume/RBAC snippet, an annotation cookbook, and an exclusion list to prevent feedback loops.

Default to caution: scope RBAC to the minimum, exclude system and self namespaces before enabling broad capture, and roll out to one node first while watching event volume.

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