Get to the cause of one slow PostgreSQL workload.
Laniakea helps your engineering team investigate and improve one slow workflow, report or scheduled job, with tested changes, comparable measurements and a documented handover.
A FREE FIT CALL TO CONFIRM THE PROBLEM. A PAID, SCOPED ENGAGEMENT FOR INVESTIGATION AND IMPLEMENTATION.
A focused problem. A measurable next step.
Scope one named PostgreSQL workload/database and its representative staging environment. RDS and Aurora PostgreSQL are included where permissions and technical fit support the work.
A slow application path
A recurring response-time problem is affecting customers. We establish the workload and investigate the evidence before choosing a change.
Work that takes too long
A report or scheduled job is delaying a team. Agree the runtime or throughput measurement that matters to the people waiting on it.
A bottleneck with an owner
Your engineering team has a current problem, someone who can approve changes, and a reason to resolve it now.
Evidence, tested changes and a handover.
We agree deliverables and acceptance criteria before work starts. The business goal might be a faster report or a more responsive application; the improvement target follows evidence and feasibility.
Make the problem reproducible
Document the workload, data, concurrency and relevant measurements. Identify an evidence-supported cause, uncertainties and a reviewed remediation plan.
Test the agreed change
Compare performance under representative conditions. Check correctness and resource impact, and verify the rollback procedure appropriate to the change.
Leave your team able to operate it
Record before-and-after results, changes and known limits. Provide the runbook and owner walkthrough. Production implementation requires an agreed scope, approval and change window.
Agree the conditions before changing production.
Access and staging
Your team provides an engineering owner, approved evidence access, a representative test environment and a production change approver. Keep credentials out of email; agree the access method during scoping.
A clear effort limit
The proposal sets milestones, responsibilities and a support boundary. Whole-estate reviews, migrations, unrelated rewrites and ongoing on-call operations are outside this sprint.
A decision when scope changes
If the cause falls outside the workload, evidence is insufficient or effort would exceed the cap, we pause and agree the next step before continuing.
See the method. Inspect the evidence.
One million generated orders, one unchanged query and one index. The recorded PostgreSQL medians were 70.726 ms before the index and 0.320 ms after it; removing and rebuilding it produced 125.780 ms and 0.298 ms medians. Every phase returned the same 50 rows.
Each phase used 3 warmups and 11 measured serial executions. This was a local, one-CPU-quota container with memory-backed storage and no cache flush. The rollback phase was noisy. The index added 47.39 MiB; write overhead was not measured. These timings do not predict your application’s results.
Read the lab, limits and raw results →Start with what you know today.
What if the cause is unclear?
Begin with a limited paid investigation: an effort cap, evidence deliverables and a decision readout. Implementation can be scoped separately once feasible.
What if we have no staging environment?
We assess a safe testing path before committing to implementation. Production is not an assumed substitute for representative testing.
Will you change application code?
Only when a specific change is included in the agreed scope. A broader application problem may need a separate engagement.
What does it cost and how long does it take?
A fixed fee and delivery plan follow qualification and effort estimation. Scope, access readiness and customer change windows determine the plan.
Bring one workload and why it matters.
We discuss the symptom, business consequence, what you have tried, access and ownership. Then agree whether a bounded implementation or a paid investigation is the useful next step. The fit call includes no production troubleshooting or written diagnostic findings.
Tell us what is slow.
Share your contact details and, optionally, the PostgreSQL workload you want to discuss. Keep credentials and sensitive data out of the request.
Book a 20-Minute Fit Call