Keep clickhouse integration graylog queryable

Graylog and ClickHouse serve complementary roles in a log analytics architecture: Graylog, backed by OpenSearch, remains responsible for stream routing, extractors, dashboards, alerts, and operator search, while ClickHouse provides lower-cost long-term retention, typed event storage, SQL analytics, joins with product data, and customer-facing APIs. Because Graylog has no native ClickHouse output, teams must use explicit ingestion paths such as producer-side GELF or HTTP dual-writing, a post-processing pipeline forwarder through HTTP or Kafka, or batch replay from archived index data, with many deployments combining live dual-write and archive backfill. The integration depends on defining a shared field contract and KPI definitions so Graylog views and ClickHouse rollups count events consistently, while ClickHouse schemas should use stable typed columns, bounded dimensions in sort keys, and maps or JSON for high-cardinality attributes. The guidance cautions against copying OpenSearch mappings directly, forwarding unprocessed GELF, replaying archives without deduplication, and allowing dashboards and analytics systems to use conflicting filters. Managed ClickHouse services such as Tinybird can add ingestion connectors, API endpoints, tenant-scoped access, and schema workflows, but the central approach is to retain Graylog for operational log management and use ClickHouse for scalable analytics and extended retention.

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