Technology
SQL Server Development & Performance Tuning
We design, modernize, and tune SQL Server databases for systems where query performance is the actual bottleneck - schema design, indexing, and the stored-procedure and query work that a slow dashboard or a struggling booking system usually comes down to.
What we build
What We Actually Build With SQL Server
- Schema design and indexing strategy for new and existing SQL Server databases
- Query and stored-procedure performance tuning for systems under real production load
- SQL Server migrations, including consolidation onto current SQL Server versions or migration to PostgreSQL
- Caching layers (typically Redis) paired with SQL Server to take read-heavy load off the database
Where it fits
Services That Use SQL Server
.NET / Legacy Modernization
SQL Server modernization alongside application-layer migration off legacy .NET.
Custom ERP & CRM Development
Line-of-business systems built on SQL Server around the business's actual data model.
Enterprise Software Modernization
Database modernization as part of a phased enterprise system migration.
API Integration Services
Integration work that depends on a SQL Server schema being reliable and well-indexed first.
Technical depth
SQL Server Work We Actually Do
Query performance tuning
Execution-plan analysis and query rewriting for the specific queries actually causing production slowdowns.
Indexing strategy
Index design based on real query patterns, not a blanket index-everything approach that slows writes down instead.
Stored procedure and undocumented schema audits
Mapping tightly coupled stored procedures and ad hoc queries before any migration, so changes don't silently break behavior nothing documented.
Read-heavy caching with Redis
A caching layer in front of SQL Server for the read paths that don't need to hit the database on every request.
SQL Server to PostgreSQL migration
Schema and data migration to PostgreSQL when that's the better long-term fit, evaluated case by case rather than assumed.
Concurrency and locking diagnosis
Root-causing contention and blocking issues in systems that need to hold up under simultaneous peak-load reads and writes.
How we approach it
Migration & Implementation Patterns
Audit the existing schema, indexes, and stored procedures before touching anything in production.
Identify the specific queries and access patterns actually driving load, not a generic best-practices pass.
Redesign indexing and, where warranted, introduce a caching layer for read-heavy paths.
Validate changes against production-representative load before cutting over.
Monitor query performance after deployment so regressions are caught while they're still easy to address.
Proof
See SQL Server Work
Real-Time Booking Engine
A SQL Server-backed booking system rebuilt to hold 50ms reads under peak concurrency, using targeted indexing and a Redis caching layer.
View Case StudyLegacy Dashboard Modernization
SQL Server query and schema tuning that helped cut dashboard load times from 5 minutes to under 5 seconds.
View Case StudyFAQ
Frequently Asked Questions About SQL Server
Get in touch
Request a Legacy System Assessment
Tell us what you're working with and we'll give you a straight read on what it would take.