Database Performance Tuning
Analyse queries, indexing, and schema to speed up data access and improve backend performance.
Optimize Your FrontendOverview
A slow database can bottleneck your entire application. GullySystem fine-tuned queries, indexes, and schema designs to improve speed, reduce load, and handle growing data volumes with optimal resource usage and uptime.
Benefits
Faster Query Execution
Reduce wait times and response delays by optimising SQL queries, joins, and filtering conditions for efficiency.
Reduced Server Load
Lower CPU and memory consumption by avoiding redundant scans, subqueries, and excessive row processing.
Better App Performance
Ensure faster page loads and smoother user experiences by speeding up the backend data layer your app relies on.
Higher Concurrent Capacity
Support more simultaneous users by tuning slow queries and optimising cache hits during peak usage.
Improved Uptime & Stability
Prevent crashes, lockups, and timeout errors by optimising DB transactions, indexes, and storage engines.
Scalable Architecture
Make your system ready for scale by improving indexing strategies, partitioning data, and cleaning up legacy schemas.
What’s Included
Query Performance Audit
Analyse slow, frequent, and resource-heavy queries using EXPLAIN plans, logs, and query profiler tools.
Index Optimisation
Add, remove, or restructure indexes for faster lookups, better filtering, and reduced full table scans.
Schema Review
Evaluate your schema structure, relationships, and normalisation to eliminate bottlenecks and redundancy.
Connection & Pool Tuning
Configure connection pooling, timeouts, and max connections for high-concurrency environments.
Caching Recommendations
Propose in-memory caching layers like Redis or Memcached to reduce DB hits for frequently accessed data.
Monitoring & Alerts Setup
Enable slow query logs, error alerts, and dashboard-based tracking to catch future issues before they affect users.
Tools & Technologies We Use
Databases
MySQL, PostgreSQL, MariaDB, MongoDB, MS SQL, Oracle, Redis for performance tuning and optimisation.
Performance Tools
MySQL Workbench, pgAdmin, EXPLAIN, Query Planner, pt-query-digest, New Relic, and Datadog for diagnostics.
Caching Layers
Redis, Memcached, database views, and materialised tables to reduce repeated processing and DB strain.
Monitoring Platforms
Grafana, Prometheus, ELK Stack, Percona Monitoring, and CloudWatch for real-time metrics and alerting.
Automation Tools
Custom scripts, cron jobs, and scheduling tools for indexing, rebalancing, and cache invalidation.
Use Cases
Slow Reporting Dashboards
Speed up heavy analytics queries with optimised joins, aggregation indexes, and result caching.
High Traffic Web Apps
Tune write-heavy or read-heavy queries to handle more requests per second during traffic spikes or app scaling.
SaaS Platforms at Scale
Re-architect slow modules to ensure consistent performance across growing user and data loads.
E-commerce Inventory & Orders
Optimise schema and queries for real-time inventory, order placement, and product search speeds.
CRM & ERP Systems
Improve complex joins across leads, contacts, invoices, and transactions by restructuring indexes and queries.
Legacy DB Modernisation
Refactor outdated schemas, remove deadlocks, and re-index tables to stabilise and modernise your stack.