Profiling & Analysis
Slow query identification, bottlenecks, hot spots. Metrics collection and baseline establishment.
# service
Database Optimization & Performance Tuning
Performance tuning, query optimization, intelligent indexing. Reduce latency by up to 90% and increase throughput.
# scope
What's Included in the Service
Execution Plan Review
In-depth analysis of execution plans. Identification of unwanted full table scans.
Index Optimization
Strategic index creation, removal of unused indexes. Index tuning and maintenance.
Query Rewriting
Rewrite of inefficient queries. Join, subquery, and aggregation optimization.
Caching Strategies
Redis caching, application-level cache, query cache. Cache invalidation strategies.
Load Testing
Benchmarks and stress tests. Validation of performance improvements. Scalability assessment.
# types
Optimization Areas
Query Optimization
Slow query optimization. EXPLAIN ANALYZE. Rewrite of inefficient joins. Subquery optimization.
- Slow log analysis
- Query rewriting
- Join optimization
Index Management
Indexing strategy. B-tree, hash, GIST indexes. Index fragmentation removal. Composite index design.
- Index creation
- Index analysis
- Composite indexes
Schema Refactoring
Normalization/denormalization. Partitioning and sharding. Materialized views. Data type optimization.
- Schema redesign
- Partitioning
- Denormalization
Caching Layer
Redis, Memcached, Elasticsearch. Query result caching. Cache invalidation strategy. Cache warming.
- Redis setup
- Cache strategy
- Performance impact
# process
Optimization Methodology
Full Audit
Baseline analysis: current performance, metrics, logs. Identifying main pain points and improvement opportunities.
Profiling & Monitoring
Query profiling, slow log analysis. Identifying problematic queries. Collection of detailed metrics.
Action Plan
Prioritization of interventions for maximum impact. Performance improvement estimates. Risk assessment.
Implementation
Applying optimizations. Index creation, query rewrite, caching setup. Continuous A/B monitoring.
Fine Tuning
Refinement based on real metrics. Scaling to performance target. Stress testing.
Documentation
Complete documentation. Best practices and maintenance guide. Team training.
# results
Typical Results
90%
Reduction in slow query latency through strategic indexing and rewriting
5x
Application throughput increase through caching layer (Redis)
60%
Infrastructure cost reduction through optimization (less CPU/RAM needed)
3x
Increase in simultaneous users supported without new infrastructure
# faq
Frequently Asked Questions
How much does database optimization cost?
Ranges from €1,500 for a simple audit to €5,000+ for complex optimization. A free consultation can estimate the precise cost based on your database.
How long does optimization take?
Audit: 2-5 days. Implementation: 2-4 weeks depending on scope. Refinement: 2-8 weeks for maximum results.
Does optimization cause downtime?
No, we apply zero-downtime optimizations. Index creation, query rewrites, caching are all applicable without service interruption.
Do you guarantee performance improvements?
Yes, we benchmark and certify the improvements. We provide a detailed report with before/after metrics.
What support do I receive after optimization?
30 days of support included. Team training. We document all optimizations for future maintenance.
Do you only support PostgreSQL/MySQL?
No, we support PostgreSQL, MySQL, MariaDB, MongoDB, Oracle, SQL Server and others. Expertise across multiple database engines.
Speed Up Your Database Today
Is your database slow? Contact me for a free audit. We'll identify the optimization opportunities and the potential gain.
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