Prompt

I'm unhappy with our current Redshift setup and costs keep growing

Technology / Data Infrastructure1 observationLast seen Oct 7, 2026

Latest observation

Oct 7, 2026OpenAI APIWeb search: off

I can help with that. Redshift cost growth usually comes from one or more of these buckets:

  1. Overprovisioned cluster size

    • Nodes too large or too many nodes for actual workload.
    • Concurrency scaling or resize behavior masking the real need.
  2. Inefficient queries / workloads

    • Full table scans, bad joins, missing sort/dist key design.
    • BI tools issuing many small, repetitive queries.
  3. Storage bloat

    • Old data not archived or deleted.
    • Too many copies of data across schemas/tables.
    • Vacuum/analyze overhead from frequent updates/deletes.
  4. Operational extras

    • Spectrum, data transfer, snapshots, cross-region replication.
    • Keeping dev/test clusters running 24/7.
  5. Poor workload isolation

    • ETL + ad hoc + dashboards all on the same cluster causing you to scale up “just in case.”

What I’d recommend

Quick wins

  • Review top 20 queries by total runtime and top 20 by bytes scanned.
  • Check cluster utilization over 7/30 days:
    • CPU
    • queue time
    • memory pressure
    • disk spill
  • Identify idle periods and whether the cluster can be paused or resized.
  • Look for tables with frequent vacuum/analyze and heavy bloat.
  • Audit snapshots and retention.

Cost control options

  • Right-size the cluster, or move to a more flexible setup if usage is spiky.
  • Separate workloads:
    • ETL on one cluster or schedule
    • BI/dashboard on another
    • dev/test with automatic start/stop
  • Optimize tables and queries:
    • Sort keys
    • Distribution keys
    • Compression encodings
    • Materialized views / aggregates for common patterns
  • Archive old data to S3 and query with Spectrum only when needed.
  • Consider RA3 / managed storage if you’re not already on it.

If you want the fastest path to savings

I can help you build a Redshift cost reduction plan in one of these formats:

  • Checklist for your team
  • 90-minute investigation plan
  • Architecture review of your current setup
  • SQL queries to find expensive tables/queries
  • Migration path if you’re considering moving off Redshift

If you want, send me:

  • your Redshift node type/count
  • whether you’re on RA3 or DC2
  • rough daily query volume
  • whether ETL and BI share the same cluster
  • any CUR / billing symptoms you’ve noticed

…and I’ll help pinpoint the likely causes and next actions.

Observation history

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