Services for existing applications

PostgreSQL performance consulting for your existing application

Slow SQL, blocked transactions and connection pressure can hold back a working product. We connect database bottlenecks to customer workflows, investigate the workload and agree which changes to make first.

Database investigation and optimization for existing applications

Investigate the workload behind the slowdown

Slow SQL and execution plans

Identify expensive and frequently executed statements. Review row estimates, scans, joins and buffer usage under representative conditions, then connect the findings to application workflows.

Indexes and locking

Review query patterns, index selectivity and write costs. Investigate blocking transactions and long-running updates before proposing changes.

Connection pressure

Review application pools, worker concurrency and active sessions. Distinguish database saturation from slow application work before adding capacity.

A measured investigation and practical optimization plan

Baseline and findings

Agree the affected workflow and representative workload. Record query timings, plans and relevant workload conditions, then prioritize findings by impact, effort and risk.

Implementation and validation

Agree diagnosis-only or implementation scope. Compare delivered changes under the same workload, check correctness and document rollout, rollback and monitoring steps.

Clear access and scope

Agree database access and handling of sensitive data before starting. Use anonymized queries or a representative environment when appropriate; agree production investigation steps with your team.

Client work and engineering evidence

SQL optimization for Kajabi Experts

Kajabi Experts: Rails and SQL optimization

We moved expensive Ruby-side processing into SQL to make slow pages usable again. The published processing benchmark shows 79.74× higher throughput; the article separately reports page loading falling from over 30 seconds to 300ms. These are distinct measurements, not Core Web Vitals results.

Read the Kajabi Experts case study →

Financial planning in PostgreSQL

A practical demonstration of PostgreSQL queries for financial planning, illustrating database-specific SQL techniques.

Read the PostgreSQL article →

Explore the next step

Explore focused services for your application and the technical experience behind our work.

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Restore an unreliable application and document recovery steps.

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Discuss your PostgreSQL bottleneck

Tell us about your application, the current problem and your priorities. We will agree on the scope, access needed and a practical first step.

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