For engineering leads and product managers wrestling with spinning dashboards, slow checkout endpoints, and spiking AWS/RDS bills. We benchmark your slowest database queries, eliminate locking, and deliver benchmarked latency drops in 3 days flat.
Throwing larger server instances at unindexed sequential scans only masks the symptoms while doubling infrastructure bills.
As database tables grow past millions of records, complex aggregations lock up. Customers abandon checkout flows or complain about spinning screens, triggering support tickets and SLA penalties.
Your team keeps bumping AWS RDS or GCP Cloud SQL instance tiers from db.t3.medium to db.r6g.2xlarge. You are paying hundreds in cloud compute every month just to process unindexed table scans that should take 8ms.
During peak marketing campaigns or batch syncs, unindexed foreign key lookups cause table lock cascades. Connection pools saturate, leading to 504 Gateway Timeout outages.
Direct code refactors, non-blocking index migrations, and atomic caching implemented directly in your codebase.
EXPLAIN ANALYZE Deep Profiling: Full execution plan teardown of your 5 slowest queries to pinpoint sequential scans, memory spills, and inefficient hash joins.
CREATE INDEX CONCURRENTLY scripts for zero production locking.
Under mutual NDA, we connect to your staging replica or review slow query logs (pg_stat_statements). We isolate the top 5 bottleneck queries and establish baseline benchmarks.
We engineer targeted indexes, rewrite unindexed joins, eliminate N+1 calls, and configure Redis caching layers. All changes are tested on realistic staging datasets.
We submit the pull request with migration scripts and deliver the comparative benchmark report. We accompany your tech lead during staging verification.
£2,450
Fixed sprint fee • or $3,200 USD
Scope Included:
The Oaklogix Guarantee:
Yes. We build migration scripts using non-blocking commands such as CREATE INDEX CONCURRENTLY in PostgreSQL to ensure production tables remain fully accessible for reads and writes throughout deployment.
PostgreSQL, MySQL, Redis, and Salesforce SOQL/BigObjects. On the application layer, we specialize in Java (Spring Boot), Node.js/TypeScript, Python, and Apex.
No. We prefer working on an anonymized staging replica or scrubbed development database with representative row counts to simulate realistic query plans.
We identify this immediately during Phase 1 profiling. If the issue stems from blocking third-party network I/O, we refactor the call into an asynchronous background job with webhook reconciliation.
Slash your p95 latencies and eliminate database bottlenecks in 72 hours. Guaranteed 40%+ latency drop or 100% money back.
✔ Executed directly by Waleed Rafique (10+ years backend & DB tuning).
✔ Zero production downtime guarantee.
✔ 40%+ latency slash guarantee.