Spatial endpoints are fast in development but time out with real geography or concurrency.
Make Slow Spatial Queries Predictable Under Real Load
PostGIS performance audits and remediation for spatial APIs, dashboards, tile services, and analytical workloads that have outgrown their database design.
You probably need this when…
GiST indexes exist, yet plans still scan, spill, or repeat expensive transformations.
Tile generation, proximity search, or polygon overlays compete with transactional traffic.
What the engagement delivers
Every item is tied to an acceptance owner and evidence. Final scope is confirmed after data, security, and integration review.
Workload and slow-query inventory
Ranked EXPLAIN (ANALYZE, BUFFERS) findings
Index, schema, statistics, partitioning, and query recommendations
Validated rewrites and benchmark report
Safe rollout plan, observability checklist, and walkthrough
From evidence to operational handover
- 01
Capture
Collect representative queries, plans, volumes, concurrency, and latency targets.
- 02
Diagnose
Separate query, index, schema, I/O, memory, and application causes.
- 03
Remediate
Test focused changes against a controlled baseline.
- 04
Transfer
Deliver rollout, rollback, monitoring, and team training.
How value is verified
No vanity accuracy number. Evidence is chosen around the operational decision and agreed before delivery starts.
- ✓p50, p95, and p99 latency before and after each accepted change
- ✓Query-plan and buffer evidence—not generic tuning advice
- ✓Load-test results tied to agreed concurrency and dataset size
Frequently asked questions
Can you audit without production access?+
Yes. Sanitized schemas, statistics, plans, and a representative restore are often enough for the first pass.
Will you recommend new infrastructure immediately?+
Only when evidence shows the current design cannot meet the workload.
Can changes be zero downtime?+
Many can. Lock risk, online index strategy, rollout windows, and rollback requirements are assessed explicitly.
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Bring us the problem, not a perfect brief.
Three fields start the conversation. An engineer will help determine fit, data readiness, and the smallest useful next step.
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