Solutions / Legacy Modernization

Faster, without renting a bigger server to get there.

Most performance problems are query problems wearing a hardware costume.

When pages slow down, the fast fix is usually to add server capacity — and it usually works, temporarily, until traffic grows again and you are back where you started, paying more. We profile the actual bottleneck first: slow queries, missing indexes, N+1 lookups, unoptimized assets, and fix the cause instead of renting around it.

Signs This Is Worth a Conversation

Page load times have crept up gradually as your catalog or user base has grown

The standard fix for slowness has been a bigger server, more than once

Certain pages or admin actions time out under real load but work fine in testing

What We Do

Query and database profiling

Real bottlenecks identified under real data volume, not assumed from the schema.

Caching and denormalization where it actually helps

Applied to the specific slow paths, not sprayed across the whole application.

Frontend performance pass

Asset loading and rendering fixed so the backend gains are not undone by the frontend.

Proof, Not Promises

Hydrafitnessexchange

Instant lookups across 30,000+ equipment and 200,000+ parts

We fixed N+1 queries, added the right indexes, and restructured the data model — right-sizing infrastructure instead of continuously scaling it up.

Read the full case study →

How It Works

01

Profile under real conditions

Actual data volume and traffic patterns, not a clean test environment.

02

Fix the root query and schema issues

Not just add a cache layer on top of a slow query.

03

Verify the gain holds under load

Tested against real traffic before calling it done.

Why Prioxo for This

We have delivered this exact result — same root problem, same fix — for more than one client running large relational catalogs. It is a pattern we recognize quickly, not a diagnosis we have to feel our way through.

Been told the fix is a bigger server, again?

Let us profile it first and find out if that is actually true.

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