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
Databases & Backend
Database optimization identifies measurable MySQL or PostgreSQL bottlenecks and improves the agreed queries, indexes, and server settings with before-and-after evidence.
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.
We define the objective, deliverables, dependencies, and success criteria before production starts.
You review working previews, so decisions are made against tangible output.
The agreed revision rounds are used to complete details within scope.
I deliver the agreed files, access, and practical usage notes in an organized package.
Databases & Backend · Delivery
Final pricing is provided after scope, deliverables, and integrations are confirmed.
Analysis and correction of a small set of slow queries.
Query, index, and server review for one defined workload.
A broader performance engagement with monitoring and load testing.
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.
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.
Yes. I use version-appropriate execution plans, slow-query data, index statistics, and configuration metrics for either platform within the agreed scope.
Firebase setup gives your web or mobile app a defined backend with authentication, data storage, security rules, and selected cloud services configured for its use cases.
Supabase setup provides a PostgreSQL backend with authentication, Row Level Security, Storage, and selected realtime or server-side features configured for your app.
Database design turns your business rules, queries, and expected workload into a maintainable schema with clear relationships, indexes, and documentation.
Share a short brief and I’ll help define the scope, dependencies, and a realistic delivery window.
Tell me about the project