Subscription billing API
- Challenge
- Invoice list p95 latency 1.2s at 8,000 customers.
- Simplileap solution
- PostgreSQL index tuning, ORM prefetch, materialized views.
- Outcome
- p95 1.2s → 180ms; RDS CPU peak down 37 points.
// Scale
Database Optimization
Slow databases are the most common cause of slow applications. We diagnose and resolve database performance issues, from missing indexes to schema design problems to query inefficiencies, that compound into user-visible latency.
// Key benefits
What makes this service valuable
Query analysis and optimisation
We analyse your slow query log, use EXPLAIN ANALYZE to understand execution plans, and rewrite or restructure queries for maximum efficiency.
Index strategy
Missing indexes on frequently queried columns are the fastest performance wins. We design an index strategy that covers your actual access patterns without over-indexing write performance.
Schema review
Normalisation issues, inappropriate data types, and missing constraints, we review your schema for structural problems that cause performance and integrity issues.
// Details
Database performance that scales with your application
Database optimisation starts with the slow query log, the database itself tells you which queries are causing the most pain. We analyse this data to prioritise optimisation effort on the highest-impact queries.
We work with PostgreSQL, MySQL, and MongoDB, and have deep familiarity with RDS, Cloud SQL, and Atlas as managed services.
// What this includes
- Slow query log analysis
- EXPLAIN ANALYZE for query planning
- Index creation and analysis
- Query rewriting for efficiency
- Connection pooling configuration (PgBouncer)
- Vacuum and autovacuum tuning (PostgreSQL)
- Read replica setup for query distribution
// Deliverables
What you receive
Every engagement produces clear, documented deliverables. Here is exactly what is included in our database optimization service.
- 01Database performance audit report
- 02Slow query analysis with recommendations
- 03Index implementation
- 04Query optimisation implementation
- 05Connection pooling configuration
- 06Before/after query performance benchmarks
Production patterns and experience depth: PostgreSQL expertise ›
// In practice
How database optimization engagements run
PostgreSQL or MySQL tuning starts with EXPLAIN ANALYZE on top 10 slow queries from pg_stat_statements. Missing indexes, bloated tables, and connection pool exhaustion are fixed before sharding discussions. Vacuum/autovacuum health and replication lag monitored; read replicas sized for reporting load separately.
// Stack & frameworks
Stack we use for this
Measurement
- Lighthouse CI
- CrUX field data
- WebPageTest filmstrip
- RUM dashboards
Tuning
- Redis object cache
- CDN edge rules
- Image pipeline
- Query plan review
Governance
- Performance budgets
- Regression alerts
- Release checklists
- Executive reporting
// Delivery
Simplileap execution framework
01
Architecture mapping
Dependencies, API contracts, compliance constraints, and performance budgets documented before sprint one.
02
Secure sprints
Two-week increments with GitHub access, demo recordings, and QA checkpoints, client visibility at every stage.
03
QA & handover
Automated tests on critical paths, security review, runbooks, and knowledge transfer to your team.
// Proof
Real deployments from Bangalore
// Engagement models
How teams engage us
Currency
| Package | Ideal for | Investment | Includes |
|---|---|---|---|
| Managed services AMC | Post-launch platforms | ₹25K – ₹1.5L / month |
|
| DevOps transformation | Engineering teams | Project + retainer |
|
| SLO-backed operations | Revenue-critical apps | Scoped within AMC range |
|
// Company and service positioning
Company and Service positioning is reviewed for production delivery standards by Harsha Parthasarathy (Co-Founder, Strategy & Operations 24+ years IT veteran, IBM, Global Delivery, Program Management) and Keshav Sharma (Co-Founder, Engineering and Lead Architect, Full-stack engineering, product delivery and technical standards).
CIN
AAU-8582
Startup India
DIPP83124
Founded
November 2020
Office
Residency Rd, Bengaluru, India
// FAQ
Common questions about database optimization
Should I add more indexes or optimise queries?+
Both, but indexes first. Missing indexes on frequently queried columns are the fastest and safest wins. Query optimisation follows for queries that cannot be indexed efficiently or where N+1 patterns are the issue.
Ready to get started with database optimization?
Share your requirements with our team. We respond within one business day with a clear plan from discovery to delivery.