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Maintenance & Support

Managed Maintenance & Support

Keep your systems healthy without building a team to do it

We take ongoing responsibility for production health — monitoring, patching, incident response, and iterative improvements. Your team ships features; we make sure the lights stay on.

Discuss a retainerSee our work

What it is

The full picture

24/7 incident response

On-call rotation with defined SLAs. P1 incidents acknowledged within 15 minutes, mitigated within 2 hours.

Dependency & security patching

Monthly dependency audits with automated PRs for safe upgrades. CVE patches applied within 48 hours of public disclosure.

Performance monitoring

Continuous APM with alerting on Core Web Vitals, API latency, error rates, and database query degradation.

Iterative improvements

Up to 20 hours/month of engineering time applied to technical debt, minor feature work, and performance improvements.

Who it's for

Right for you if…

Engineering teams who need production support without building an internal on-call rotation, and companies that have handed off a product but need confidence it won't degrade.

Our approach

How we work

  1. 01

    System onboarding

    We document your architecture, deployment processes, runbooks, and escalation paths before taking on any on-call responsibility.

  2. 02

    Monitoring setup

    We audit and improve your observability stack — filling gaps in alerting coverage and calibrating thresholds to reduce alert fatigue.

  3. 03

    Incident response procedures

    We establish playbooks for your most likely incident types and test them in a staged environment before going live.

  4. 04

    Monthly health reporting

    A structured report covering incident counts, MTTR, dependency status, and a prioritised list of recommended improvements.

Tech we use

The toolbox

cloud

AWS

devops

DockerGitHub ActionsTerraform

Sample deliverables

What you receive

  • Architecture and runbook documentation
  • Monthly health and incident reports
  • SLA-backed incident response with defined escalation paths
  • Dependency audit and patching log
  • Quarterly improvement recommendations report

FAQ

Common questions

We embed AI at every stage of your development cycle — not as a layer on top, but as part of how we work. That means AI-assisted code generation trained on your codebase, automated pre-review of every pull request, intelligent refactoring tools for legacy code, and LLM-powered features inside your product itself. We always start with your specific context rather than applying generic AI tooling.

We offer full-stack product engineering, AI and LLM integration, cloud infrastructure and DevOps, UX and design systems, security audits and compliance support, and blockchain and smart-contract development. Most clients engage us for a combination of these — we rarely work on just one layer because the best systems are designed cohesively across the stack.

Both. We work with seed-stage founders who need to build their first production system alongside Series B and C teams adding a specialist practice they don't have in-house. The common thread is that our clients are serious about what they're building — budget-conscious experimentation isn't a great fit for the way we work.

Discuss a retainer

Ready to start?

Tell us about your project and we'll have a proposal ready within 48 hours.

Start a conversationSee case studies