Production PostgreSQL performance, investigated from evidence—not guesses.
For SaaS engineering teams dealing with rising latency, high database cost, query regressions, locking, connection pressure or risky PostgreSQL upgrades.
PostgreSQL 14 stops getting fixes on 12 November 2026.On RDS and Aurora, Extended Support charges start 1 March 2027.See the dates →
Done by me, Kiran Sabne: about 8 years running production PostgreSQL, Aurora/RDS, SQL Server and Snowflake. More about me →
Founding investigation: $450 for the first three suitable engagements, covering up to 5 dominant statements or problem areas and 7 days of follow-up questions.
One cluster and its dominant workload · client-run, read-only evidence · written findings and review call
Start with what production is doing.
Performance is rarely one isolated SQL statement. The useful question is which evidence explains the workload behavior and what change is safe to test first.
High PostgreSQL CPU
Separate workload concentration, bad plans, I/O pressure and application amplification before scaling hardware.
Problem guideConnection exhaustion
Distinguish pool behavior, long transactions, application storms and server-side limits.
Problem guideLock contention
Find blockers, lock queues, long transactions and DDL interactions from evidence.
Problem guidePlan regression
Compare plan shape, row estimates, data distribution and deployment/version changes.
Evidence → judgment → validation.
AI can explain an execution plan. The investigation is about what surrounds that plan: workload concentration, locks, connections, statistics, indexing and deployment context.
Scope
Define the production symptom, business impact and evidence boundary.
Collect
Client-run read-only evidence: workload, plans, locks, indexes and relevant settings.
Investigate
Correlate signals and distinguish the symptom from likely root cause.
Prioritize
Rank findings by impact, confidence, risk and implementation effort.
Validate
Define rollback and before/after checks so the team knows whether the change worked.
A ranked change plan, not a dump of findings.
Every finding is tied to evidence, confidence, risk and a validation step so your engineering team can make an informed change.
Why this finding exists
Plans, workload statistics, waits/locks, schema/indexes and relevant configuration.
What matters first
Findings are ranked by expected impact, confidence, risk and effort—not by how impressive they sound.
How to know it worked
Each recommendation includes a measurable verification path and rollback consideration.
PostgreSQL first. Broader where the workload demands it.
PostgreSQL is the core service. Specialist reviews cover transactional, vector and analytical workloads where the problem calls for them.
PostgreSQL
Workload-level performance investigations across plans, locks, connections, indexing, vacuum/statistics and production regressions.
SecondarySQL Server
Query Store, plan regressions, blocking, parameter sensitivity, indexing and ORM-sensitive workload reviews.
AI + databasepgvector
HNSW/IVFFlat trade-offs, filtering, latency/recall, memory, index builds and hybrid vector + relational workloads.
AnalyticalSnowflake
Query history, warehouse sizing, pruning/spills, clustering, concurrency and cost/performance investigations.
AnalyticalOLAP / Big Data
Large analytical SQL, partitioning, skew, scan amplification, distributed joins and workload-isolation trade-offs.
Review the method before you get in touch.
Explore two reproduced PostgreSQL problems and a sample report. The captured plans, waits and timings show how evidence leads to a safer decision.
Generic plan regression under prepared statements
A role-level plan setting slowed small tenants. See the plan evidence and tested response.
Measured labDDL lock queue behind an idle transaction
A catalog-only ALTER TABLE stalled eight readers for 14 seconds. See the blocking chain and timeout test.
Both examples are synthetic labs using generated data; their measurements are not client results.
Need an independent PostgreSQL investigation?
Start with the problem and the evidence you already have. You will get a direct answer on whether a scoped investigation is the right next step.
Prefer to talk first? Book a 20-minute triage call.