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Services · Fix and scale

Make slow or fragile software reliable.

We fix software that keeps breaking, slows down as you grow, or came from a team that's no longer around. From performance work to legacy system modernization, we find out why it fails, fix what matters first, and leave it easier to run.

Senior engineers only, and we read the code before we recommend anything.

Book a discovery sprintSee reliability work
OversightEnterprise / Observability
Who it's for

For products that work, but not well enough.

Most of the systems we're asked to fix are in one of three states.

  • It keeps breaking

    Outages, errors after every release, bugs that come back. We find the causes, not just the symptoms, and add the tests and monitoring that stop them returning.

  • It slows down as you grow

    Pages that crawl, reports that time out, a database under strain. We measure where the time goes and fix the parts that matter before more customers arrive.

  • You inherited it

    Built by an agency, a freelancer or a team that's moved on, with little documentation. We map how it works, write it down, and make it safe to change again.

Good fit if

  • Your product works but keeps breaking, or slows down as you grow
  • You've inherited a system from another team

Not a fit if

  • You want a full rewrite before anyone has looked at the code
What we build

What fixing and scaling covers.

We start with what's hurting your customers, then work outward. Each part comes with the technical detail underneath.

  • Finding out why it breaks

    Reading the code, the logs and the incident history to find root causes. You get a plain-language report of what's wrong, what to fix first and what can wait.

    Under the hood
    • Code audit
    • Incident response
  • Making it fast

    Measuring where the time goes, then fixing slow queries, heavy pages and the parts that do the same work twice.

    Under the hood
    • Performance
    • Query tuning
    • Redis caching
  • Seeing problems before your users do

    Monitoring and alerts on the things that matter, so you hear about trouble from a dashboard, not a customer.

    Under the hood
    • Observability
    • Alerting
  • Making it safe to change

    Automated tests around the risky parts, so new features stop breaking old ones and releases become routine.

    Under the hood
    • Automated testing
    • CI/CD
  • Modernizing legacy systems in steps

    Replacing the oldest, riskiest parts one at a time while the system keeps running. No big-bang rewrite, no frozen roadmap.

    Under the hood
    • Refactoring
    • Legacy modernization
  • Ready for more load

    Load testing to find the breaking point before your users do, then moving it well out of reach.

    Under the hood
    • Load testing
    • Scaling

If the real problem is hosting, releases or the cloud bill, see managed cloud.

Proof

Reliability work we've done.

See all 14 projects
  • Afiniti Mega AI: Enterprise AI infrastructure with 90%+ test coverage.
    AI / Enterprise

    Afiniti Mega AI

    Built at Afiniti: the servers behind its enterprise AI product, kept reliable with fast bug fixes, solid tests and dependable connections to outside services.

    90%+unit test coverage

    Read the case study →
  • Oversight: High-volume telemetry, rendered in real time.
    Enterprise / Observability

    Oversight

    A live monitoring dashboard built at Afiniti that keeps up with huge volumes of system data and updates in under a second.

    <1sdashboard updates

    Read the case study →
  • Walmart Realm: An immersive Walmart storefront, delivered under Emperia, with integrated third-party games.
    Immersive Retail

    Walmart Realm

    A virtual Walmart store, delivered under Emperia. We built the interface from scratch, brought 9 third-party games inside the experience and owned the release. It draws about 250K visitors a month.

    250Kvisitors a month

    Read the case study →
How it works

How a fix-and-scale engagement runs.

We look before we touch anything, then fix in order of what hurts most.

  1. 01

    Discovery sprint

    One week reading the code, logs and incident history. You get a written diagnosis and a priority list, yours to keep either way.

  2. 02

    Plan

    A signed scope with a fixed price per milestone, and a point after each milestone where you can stop.

  3. 03

    Stabilize

    The fixes that stop the worst incidents first, with monitoring so you can see the improvement.

  4. 04

    Improve

    Performance, tests and modernization in short cycles, with the system running throughout.

  5. 05

    Hand over

    Docs and a codebase your team can change with confidence, plus optional ongoing support and managed hosting.

The first step

Discovery sprint

Price
Quoted upfront
Length
1 week

One focused week before any build. We dig into your idea or your system, find the risks early, then hand you a plan you can act on, with us or without us.

Book a discovery sprint →
What you get
  • An architecture plan written in plain language
  • Scoped milestones with time and cost estimates
  • The main risks and how we'd handle them
  • A roadmap you keep, whether or not you continue with us
Questions

Fix and scale questions.

Do we need to rewrite our software?+

Usually not. Most systems have a solid core and a few parts that cause most of the pain. We fix those first and replace the riskiest parts in steps while the system keeps running. If a rewrite really is the right call, we'll explain why in plain terms before you commit to anything.

Can you work on code another team wrote?+

Yes. We start by reading it and running it, then write down how it works, so the knowledge lives in documents rather than in one person's head.

How do you find out why our app is slow?+

We measure before we change anything: which pages, queries and background jobs take the time, and under what load. Then we fix the biggest causes first and measure again, so you see the difference in numbers.

What is legacy system modernization?+

Legacy system modernization is updating an old system so it's safe and affordable to keep running and changing: supported technology, tests around the critical parts, and a clearer structure. Done in steps, it carries far less risk than replacing everything at once.

How quickly can you respond to production problems?+

For systems we look after, response times are agreed up front. On the enterprise AI servers we worked on at Afiniti, most production bugs were fixed the same day, and larger issues within two to three days.

How much does fixing or scaling software cost?+

The discovery sprint is quoted upfront and ends with a priority list. Each fix after that is a fixed price per milestone, agreed before work starts, so you can stop after any stage.

Is your software holding you back?

Tell us what keeps breaking or slowing down. We reply within one working day.

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DigiMith

DigiMith is a software studio of senior engineers that builds SaaS products and AI integrations, then deploys and manages them on AWS and GCP, for startups and growing companies.

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