Performance work aimed at the infrastructure, not just the browser.
We optimize the queries, caching, and servers doing the actual work under real load.
Ways to work with us.
Project
For clearly defined products and launches.
- Fixed scope & timeline
- Single accountable team
- Clear delivery milestones
Dedicated Team
For ongoing product development.
- Embedded with your team
- Continuous feature delivery
- Scales up or down as needed
Retainer
For continuous improvements, maintenance, and growth.
- Ongoing support & updates
- Performance & security monitoring
- Priority response times
Finding where an application actually loses time, then fixing that layer
When an application slows down under real usage, the cause is usually somewhere the browser can't see: an unindexed database query, a server under-provisioned for actual load, or a caching layer that doesn't exist yet. This service works at that layer, profiling the application under realistic load, finding where time is actually being lost, and fixing the server, database, and infrastructure configuration responsible.
This is separate from front-end website speed work, which deals with page load, images, and Core Web Vitals in the browser. If an application feels fine on a fast connection with light traffic but slows down as data grows or usage spikes, the bottleneck is almost always on this side of the stack.
Server and infrastructure tuning
Resource allocation, server configuration, and hosting setup adjusted to match actual application load.
Caching layer implementation
Frequently requested data served from cache instead of being recomputed or re-queried on every request.
Database query optimization
Slow queries identified and rewritten, and indexes added where they're actually needed.
Load and stress testing
Applications tested under simulated traffic to find where performance breaks down before real users do.
Auto-scaling configuration
Infrastructure configured to scale up under load and back down when it isn't needed, instead of running oversized servers permanently.
Performance monitoring setup
Ongoing visibility into response times and resource usage, so regressions get caught instead of discovered by users.
What changes once the backend is actually optimized
Faster response times under real load
Optimization targets the conditions that actually cause slowdowns, not synthetic benchmarks.
Lower infrastructure costs
Right-sized servers and effective caching reduce spend on infrastructure that was compensating for inefficiency.
Fewer outages under traffic spikes
Load testing surfaces breaking points before a real traffic spike does.
A system that scales predictably
Scaling rules and caching are configured ahead of growth instead of reacted to after it causes problems.
Real technology, chosen for what the product needs.
Technologies
Common questions about performance optimization.
Slowing down under real traffic, not just in a browser test?
Tell us where the application is struggling and we'll look at the infrastructure behind it.