Loki AI Prompts
21 free, production-ready Loki AI prompts — copy-paste ready for ChatGPT, Claude, or Cursor. Every prompt ships with fill-in placeholders, a worked example, and production-safety notes, so you get a usable answer on the first try.
- Loki Advanced
Build a Per-Tenant Loki Cost Attribution and Chargeback Model
Turn Loki's ingest, storage, and query metrics into a defensible per-tenant cost model — attributing object-storage bytes, ingest volume, and query load back to teams so you can produce showback/chargeback reports and drive down the biggest spenders.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Tune Loki Ingester WAL and Replay for Safe Crash Recovery
Configure and validate the Loki ingester write-ahead log, flush-on-shutdown behaviour, and replay memory ceiling so an ingester crash or rollout replays cleanly without losing recent logs, OOMing on startup, or stalling the write path.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Tune Loki's Query Frontend, Scheduler, and Query Sharding
Design the Loki read-path parallelism stack — query splitting, TSDB query sharding, the query-scheduler queue, and per-tenant outstanding-request limits — so large queries fan out cleanly instead of stalling, timing out, or overflowing the queue.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Tune Loki Chunk Sizing and Object Storage Layout
Optimize Loki chunk targets, compression, and object-storage configuration to balance query speed, storage cost, and request rate against S3/GCS/Azure limits.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Design a Disaster Recovery Plan for Loki
Build a DR strategy for Loki covering object-storage durability and cross-region replication, ingester WAL recovery, ring/state reconstruction, and per-tenant RPO/RTO with a tested restore runbook.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Scale Loki Ingesters and Queriers Under Load
Right-size and scale Loki's write path (distributors/ingesters) and read path (query-frontend/queriers) to eliminate rate-limit rejections and query timeouts without over-provisioning.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Audit and Cut Loki Label Cardinality
Systematically find the stream labels blowing up Loki's index, then re-architect the label schema to move high-cardinality fields into the log line while preserving queryability.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Design Log-Based Alerting with Loki Ruler
Build reliable metric-from-logs alerts using LogQL range aggregations and the Loki ruler, avoiding flaky, high-cardinality, or cost-blowout alert rules.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Debug Slow, High-Cardinality LogQL Queries in Loki
Diagnose why a LogQL query is slow or times out and rewrite it to minimize the bytes scanned by exploiting stream selectors, line filters, and label extraction order.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Optimize Slow LogQL Queries for Speed and Cost
Take a slow or timing-out LogQL query and rewrite it so the label matchers, line filters, parsers, and aggregation order let Loki prune chunks early and shard the work across queriers.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Meta-Monitor Loki with Golden-Signal SLOs
Instrument Loki to monitor itself — write/read path availability and latency, ingester and queue saturation, object-store errors — and codify SLOs with burn-rate alerts so you know Loki is healthy before users complain.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Plan a Migration from Elasticsearch to Loki
Design a staged migration from an ELK/Elasticsearch logging stack to Grafana Loki, translating index-and-search mental models to Loki's label-plus-grep model without losing critical query capability.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Design Loki Multi-Tenant Per-Tenant Limits
Design X-Scope-OrgID tenant boundaries and per-tenant limits/overrides so one noisy team cannot starve ingest or degrade query performance for everyone else.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Build an OpenTelemetry Logs Pipeline into Loki
Design an OTel Collector logs pipeline that ships into Loki's native OTLP endpoint, mapping OTel resource/scope attributes to a low-cardinality label set and keeping the rest as structured metadata.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Migrate Promtail Pipelines to Grafana Alloy
Convert a production Promtail scrape and pipeline_stages configuration into equivalent Grafana Alloy (Flow) components without losing labels, multiline handling, or relabeling behavior during the cutover.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Design Loki's Query Caching Strategy with Memcached
Architect the full Loki caching stack — results cache, chunks cache, index/index-stats cache, and write-dedupe cache — sizing memcached correctly so repeated dashboard queries and range splits hit cache instead of object storage.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Map and Debug the Loki Read and Write Path
Trace a log line end-to-end through Loki's write path (distributor → ingester → object storage) and read path (query-frontend → querier → ingester/store) to localize where ingestion loss or query gaps occur.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Design Loki Ruler Recording and Alerting Rules
Stand up the Loki ruler to precompute expensive log-metric queries into recording rules and fire alerts on log-derived signals, with correct WAL, remote-write, and per-tenant rule storage.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Tune Loki Retention and the Compactor
Design per-tenant and per-stream retention with Loki's compactor, and tune compaction so deletes actually execute without falling behind or bloating the index.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Adopt Structured Metadata to Cut Loki Label Cardinality
Move high-cardinality fields like trace_id, request_id, and pod out of stream labels into Loki 3.x structured metadata, so they stay queryable without multiplying streams or index size.
- Claude
- ChatGPT
- Cursor
Open prompt - Loki Advanced
Migrate Loki from boltdb-shipper to the TSDB Index
Plan and execute the schema migration from the legacy boltdb-shipper index to the TSDB index using a future-dated schema_config period, so existing chunks stay queryable while new data lands on TSDB.
- Claude
- ChatGPT
- Cursor
Open prompt
About these Loki AI prompts
This is a free, curated collection of Loki AI prompts for DevOps and platform engineers — prompt templates that turn Claude, ChatGPT, or Cursor into a focused Loki assistant. Instead of re-explaining your setup every time, each prompt has fill-in placeholders, a realistic worked example, and explicit safety and back-out notes, so it's safe to use against production Loki.
Browse all 21 above, or explore the wider Loki prompts and troubleshooting guides, the full DevOps AI prompt library, and run or compare any prompt live in the Prompt Workspace. Hit a production issue instead? Try the free Incident Assistant.