Databases & Backend

MySQL and PostgreSQL Optimization

Database optimization identifies measurable MySQL or PostgreSQL bottlenecks and improves the agreed queries, indexes, and server settings with before-and-after evidence.

  • Delivery2–15 days
  • RevisionsPackage dependent
  • PricingQuoted by scope

What this service covers

Slow database performance can come from inefficient queries, missing or redundant indexes, poor execution plans, lock contention, memory pressure, or application access patterns. I begin with logs, representative workloads, EXPLAIN output, and infrastructure context instead of applying generic tuning advice.

Changes may include query rewrites, index additions or removals, schema adjustments, connection and memory settings, and monitoring for the agreed workload. Every production change is reviewed against a verified backup and rollback plan. Results are measured using comparable scenarios because no responsible optimization engagement can promise a fixed percentage improvement.

The service covers the systems and workload named in the package. Hosting limits, application code, traffic spikes, and third-party services can still affect response time. High-risk changes are staged or scheduled for an approved maintenance window.

What's included

  • Slow-query and EXPLAIN analysis
  • Index and query tuning
  • Selected server configuration review
  • Before-and-after performance report

Tools and platforms

MySQLPostgreSQLEXPLAINPerformance Tuning

How the project works

  1. 01

    Scope

    We define the objective, deliverables, dependencies, and success criteria before production starts.

  2. 02

    Build

    You review working previews, so decisions are made against tangible output.

  3. 03

    Refine

    The agreed revision rounds are used to complete details within scope.

  4. 04

    Handover

    I deliver the agreed files, access, and practical usage notes in an organized package.

Databases & Backend · Delivery

Choose the right level of scope

Final pricing is provided after scope, deliverables, and integrations are confirmed.

Starter

Focused audit

Analysis and correction of a small set of slow queries.

  • Analysis of up to 5 queries
  • Index recommendations
  • Query revisions
  • Concise findings report
Delivery: 2–3 days Revisions: 1
Standard

Workload review

Query, index, and server review for one defined workload.

  • Priority slow queries from available logs
  • Index strategy
  • Selected server-setting adjustments
  • Comparable before-and-after tests
  • Detailed report
Delivery: 4–7 days Revisions: 2
Advanced

Deep optimization

A broader performance engagement with monitoring and load testing.

  • Defined system performance audit
  • Query and schema improvements
  • Server tuning review
  • Monitoring setup
  • Agreed load-test scenario
  • 3 revisions
Delivery: 7–15 days Revisions: 3

Frequently asked questions

How much faster will my database become?

The result depends on the actual bottleneck, data distribution, infrastructure, and workload. I do not promise a fixed percentage; I measure the same agreed scenarios before and after changes.

How do you protect production data?

I require a verified backup and rollback plan before production changes. Work is staged where possible and applied in an approved maintenance window, but no database change is completely risk-free.

Do you optimize both MySQL and PostgreSQL?

Yes. I use version-appropriate execution plans, slow-query data, index statistics, and configuration metrics for either platform within the agreed scope.

Get a quote for MySQL and PostgreSQL Optimization.

Share a short brief and I’ll help define the scope, dependencies, and a realistic delivery window.

Tell me about the project