Platform engineering and reliability, so your team can ship features instead of firefighting.
Growing product companies hit the same wall: the architecture that got them to first revenue will not carry them to scale. We bring the platform, reliability, and security engineering that usually arrives too late.
If that reads like your business, none of it is unusual — and none of it has to stay that way.
Every one of these is a symptom of information being captured more than once, or not captured at all.
No abstractions. For each task your team does today, here is what changes, and exactly which capability does the work.
Deployments are manual, done late at night, and avoided before weekends because rollback is uncertain.
Automated build, test, and deploy on every merge, with canary rollout and one-click rollback — so releasing becomes unremarkable.
How: DevOps and Platform Engineering — CI/CD with automated gates and rollback.
Infrastructure was clicked together in a cloud console. Environments have drifted and cannot be reproduced.
Every environment defined as version-controlled code, reviewed like application changes, and reproducible from scratch.
How: Infrastructure as code with enforced environment parity.
Customers report outages before monitoring does, and diagnosis means reading raw logs on a server.
Metrics, structured logs, and distributed traces joined up, with alerts tuned so every page is worth acting on.
How: Observability stack with dashboards, tracing, and actionable alerting.
Performance problems are discovered under load, and fixes are guessed at under pressure.
Load testing against realistic scenarios, profiling that identifies the actual bottleneck, and autoscaling proven before the traffic arrives.
How: Performance engineering with load testing and evidence-based optimisation.
Tenant separation is enforced by application logic alone, which becomes a risk as enterprise customers ask harder questions.
A deliberate tenancy model with isolation appropriate to your risk profile, plus per-tenant metering, limits, and usage visibility.
How: Architecture review and multi-tenant platform design.
The monthly bill grows and nobody can attribute spend to a customer, feature, or environment.
Tagged, attributable spend with right-sizing, autoscaling, and storage lifecycle policies — plus unit economics per tenant.
How: Cloud cost engineering with allocation tagging and unit-economics reporting.
Security is addressed reactively when a prospect asks, which delays deals by weeks.
Security controls designed in, evidence maintained continuously, and questionnaires answered from a current control library.
How: Security Architecture and Compliance with evidence automation.
Incidents are handled by whoever is awake, with no runbooks and no consistent follow-up.
Defined severities, on-call rotation, runbooks, and blameless post-incident review — so recovery is fast and each incident improves the system.
How: Incident readiness with runbooks, rotation, and structured review.
New engineers take weeks to get productive, and the local setup breaks regularly.
One-command local setup, preview environments per pull request, and documented golden paths for common tasks.
How: Platform engineering focused on developer experience and fast feedback.
One engineer understands production, and their leave is a company-wide risk.
Architecture documented, infrastructure in code, runbooks written, and knowledge deliberately distributed across the team.
How: Documentation, codification, and structured knowledge transfer.
Indicative ranges from comparable programmes. Your assessment produces numbers for your own operations.
Each is a real, scoped piece of work — usually delivered one at a time, starting with whichever pays back fastest.
CI/CD, infrastructure as code, observability, and incident readiness delivered as one coherent piece of work rather than in reactive fragments.
An honest assessment of where the current architecture breaks, what to change, in what order, and what can safely wait.
SSO, audit logging, tenant isolation, data residency, and the security evidence that unblocks enterprise deals.
Attributable spend, right-sizing, and unit economics per tenant — so pricing decisions rest on real numbers.
Senior architecture direction and engineering oversight for teams that need it without hiring a full-time CTO.
We integrate rather than replace wherever it makes sense. These are the platforms we most commonly connect to in this sector.
When the workflow captures the work properly, the evidence an auditor asks for already exists.
Ship faster, break less, and know before your customers do.
Better performance and resilience, at a cost you can predict.
Security designed in, and evidence ready when someone asks for it.
Built around how your business actually works — and maintainable afterwards.
A costed, sequenced plan — before you spend the budget.
Usually depth in the areas a product team has not needed until now — platform, reliability, security, and cloud architecture. We can lead those while your engineers keep building features, and we transfer the practices as we go.
Rarely, and never as a default. Most scaling problems are solved by fixing specific bottlenecks, adding the missing platform layer, and correcting a few structural decisions. A rewrite is a last resort we would argue against unless the evidence is overwhelming.
Usually not. Managed container services or well-configured virtual machines carry most SaaS businesses a long way. Kubernetes brings real operational cost, and it should be adopted when the scale justifies it rather than in anticipation.
It depends on what is being asked for. SSO, audit logging, and a documented control set are typically weeks rather than months. A full SOC 2 audit cycle takes longer, but the readiness work usually satisfies the immediate commercial requirement.
A short discovery gives you a written picture of where time and money are leaking, and a phased plan to fix it. No obligation.