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01 / Software performance & cost optimization

Performance&Cost

Remove performance friction where it matters most.

The challenge

When pages stall, APIs slow down and cloud bills keep growing, the cause is rarely one setting. We trace the complete journey—from the first interaction to the database, infrastructure and AI services behind it—then build and verify the changes that matter.

Before & after

From friction to flow.

Before

  • Customers wait even when your speed score looks good
  • Growing traffic exposes slow queries and fragile services
  • Cloud and AI spend rise without a clear cost per outcome

After

  • Faster customer journeys, measured on real devices
  • Application and infrastructure changes tested under demand
  • Visible cost per transaction, report or useful AI response
In detail

How it looks in practice.

01

Journey Speed Engineering

We connect real-user monitoring—measurements from actual visits—to browser and server traces. Frontend changes address rendering, scripts and media; backend changes address the work holding each request open.

02

Backend & Capacity Engineering

We inspect query plans, connection pressure and queue behaviour, then change the code and configuration behind slow requests. Load tests check throughput, tail latency and recovery, not just the fastest response.

03

Cloud & Workload Cost Engineering

We attribute spend to useful work, remove duplicate processing and right-size capacity against representative demand. Azure is a focus, with AWS and Google Cloud support scoped to the systems you run.

Process01

Baseline

Baseline

Measure customer journeys, failure rates and workload costs.

Trace

Identify the code, query or dependency causing the constraint.

Engineer

Release reviewed changes with explicit rollback conditions.

Verify

Compare speed, reliability and cost against the agreed baseline.

Development · AI · Automation

Faster systems. Smarter operating costs.

We improve the software behind each task, then check its speed, reliability and running cost. AI evaluation compares the usefulness of answers before we accept a lower cost or faster response.

AI answer quality · response time · cost per resolved task

Develop

Repair the code, queries and connections behind slow or expensive work.

Apply AI

Find patterns in performance evidence and test AI workloads for useful answers at a sensible cost.

Automate

Check releases, flag unusual spend and catch regressions before they become routine.

Success criteria

Agree the baseline.
Measure the difference.

01

Speed: Loading, interaction and slow-request response times.

02

Reliability: Successful transactions and recovery under realistic load.

03

Unit cost: Spend per completed action, with traffic and quality considered.

Targets are agreed after diagnosis. These are measurement priorities, not promised results.

Tools

Tools we work with.

Azure MonitorAzure Cost ManagementApplication InsightsOpenTelemetrySQL Server / PostgreSQLWebPageTestk6Terraform
Deliverables

What you receive.

01

Performance baseline

Field measurements, traces and representative load results.

02

Reviewed implementation

Frontend, API, SQL and infrastructure changes in your codebase.

03

Cost and capacity plan

Workload costs, proposed savings and operating headroom.

04

Regression protection

Monitoring, performance budgets and a documented handover.

FAQ

Common questions.

Is this more than a website speed audit?

Yes. We work across the frontend, backend, database, cloud and AI workload. The diagnosis determines which layers need development; the engagement can include implementation and ongoing monitoring.

Can you improve our Azure environment?

We can assess Azure application performance, workload costs, Functions, database usage and monitoring. We agree the relevant services, access and implementation boundaries before work starts.

Will you guarantee a savings percentage?

No. We establish your baseline first and present evidence-backed opportunities. Any saving is checked against reliability, customer experience and output quality.

Ready to start?

Discuss your project →