A Consulting Company

A Consulting Company

SaaS Performance & Scalability Engineering

Your .NET platform isn't slow.It's unprofiled.

I find the exact query, lock, or allocation pattern that's costing your SaaS product its response time at scale — then fix it, with evidence, not guesses.

 What lands on my desk

Three symptoms, one root cause: nobody's profiled it yet
Symptom 01Response times creep up as customers onboard

Page loads that were fine in the demo now take seconds. Support tickets mention "the app feels slow" — but nothing's officially broken.

Symptom 02The platform falls over during peak traffic

Marketing runs a campaign, or a big customer goes live, and the app degrades or crashes right when it matters most.

Symptom 03The database has quietly become the ceiling

Engineering keeps adding servers and cache layers, but every roadmap conversation eventually runs into the same query, the same table, the same lock.

  How an engagement runs

Diagnose with evidence, fix with discipline, prove it with numbers

No platform rewrites, no rip-and-replace. Most of what's slowing a .NET SaaS app down lives in a handful of hot paths — this is how I find and close them.

PHASE 1 — DIAGNOSEProfile the real hot path

Production-grade load testing, query plans, and CLR profiling on EF Core, SQL Server, and Redis to find what's actually costing milliseconds — not what looks suspicious.

PHASE 2 — OPTIMIZEFix the bottleneck, not the symptom

Targeted changes to indexing, query shape, caching strategy, and concurrency — scoped tightly enough that your team can review and own every line.

PHASE 3 — VALIDATERe-test under the same load

Re-run the original benchmark against the fix, side by side, so "it's faster now" is a number in a report, not a feeling in standup.

  Case study

SQL Server indexing, not a bigger server

B2B SaaS · order management module  

A missing covering index was driving table scans on every order lookup

The team's instinct was to scale the database tier up. Query plan analysis showed a scan, not a seek — the fix was a composite index and a query rewrite, deployed without downtime.

  Who's behind this

Twenty years in the .NET stack, the last several spent only on performance

I'm Rakesh, founder of Well Formed Mind. I've spent two decades in the Microsoft stack — C#, ASP.NET Core, EF Core, SQL Server, Redis, Azure, AWS — and I've narrowed my practice to one problem: SaaS applications that have outgrown their original architecture.

I write about this work too, under the "Technology Made Simple" series, because I'd rather hand your team a clear mental model than leave you dependent on me.  

  • Senior .NET architect, ~20 years in production systems
  • Author, "Technology Made Simple" book series (EF Core, .NET Core Fundamentals)
  • Independent — remote engagements across US & EU SaaS teams  

Bring me one slow endpoint. I'll show you the trace.

30-minute diagnostic call — you describe the symptom, I tell you where I'd look first.

TECHNOLOGY MADE SIMPLE - Book Series [Go to Amazon]

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