Why Choose TechDocs for Database Architecture & Scaling?
As your business grows, your database must keep pace. We specialize in high-performance database engineering, from traditional relational systems like PostgreSQL to distributed NoSQL architectures. We implement sharding, replication, and advanced indexing to ensure your data is always available and your queries are always fast.
Our team audits your current data structures to identify bottlenecks and build a scalable roadmap that prevents production lag as you reach millions of records.
Services Included
Query Optimization
Rewriting slow SQL queries to run 100x faster.
Database Sharding
Splitting specific large tables across servers to handle massive scale.
Read Replica Setup
Offloading read traffic to secondary servers to unblock the master.
NoSQL Implementation
Using Redis/Mongo for high-speed caching and flexible data structures.
Our Approach
We believe in "Right Tool for the Job." We don't force everything into MySQL. We utilize a polyglot persistence layer, using Redis for caching, ElasticSearch for search, and Postgres for relational data to ensure maximum performance.
Our Process
Step 1: Deep Audit
Analyzing slow query logs and index usage stats.
Step 2: Architecture Plan
Designing the ideal schema and infrastructure topology.
Step 3: Optimization
Adding indexes, rewriting queries, and implementing caching.
Step 4: Scaling
Setting up replication and sharding for growth.
Step 5: Migration
Moving data to the new system with near-zero downtime.
Technology Stack
Why We Are Different
| Feature | TechDocs | Others |
|---|---|---|
| Scaling Strategy | Horizontal (Sharding) | Vertical (More RAM) |
| Backup | Point-in-Time Recovery | Daily Snapshot |
| Performance | Index-Optimized | Slow Queries |
| Availability | Multi-AZ Redundancy | Single Failure Point |
Who This Is For
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✓SaaS applications suffering from slow query times.
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✓E-commerce sites crashing during sales events.
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✓FinTech companies needing ACID-compliant transactions.
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✓Startups scaling from thousands to millions of users.