SaaS Modernisation
An application that's slow to change usually isn't a product problem — it's an architecture and infrastructure problem that's built up gradually.
Frontend and backend modernisation, cloud migration and CI/CD, scoped around what's actually holding the application back.
The context
Most ageing applications didn't start out badly built. They grew — features added under deadline pressure, dependencies upgraded inconsistently, infrastructure configured for a smaller scale than it now needs to handle. Individually, none of these decisions were unreasonable at the time. Together, they make the application slower to change, harder to deploy safely, and more fragile than it needs to be.
The effect is usually felt by the team first: a task that should take a day stretches into a week, nobody wants to be the one who deploys on a Friday, and new hires take longer than they should to understand how anything connects.
Modernisation doesn't have to mean a full rebuild. In most cases, the better starting point is an assessment: understanding which parts of the application are genuinely holding things back, and which are working fine and shouldn't be touched. From there, work can focus on the architecture, infrastructure or deployment issues actually causing the friction, rather than rewriting an application end to end because parts of it feel old.
Where it starts
Current application architecture, database structure, API design, deployment process, infrastructure setup and known pain points — building an accurate picture of what's actually there before recommending changes. This includes talking to the team that works in the codebase day to day, since they usually know exactly where the friction is.
A prioritised view of what's worth changing and what isn't, along with options for how to approach it — which parts can be modernised incrementally, which would genuinely benefit from being rebuilt, and roughly what order makes sense given dependencies between them.
Migration
Cloud migration isn't a single pattern applied uniformly. Some workloads suit serverless functions well — intermittent traffic, event-driven tasks, lower operational overhead. Others are better served by containerised services running continuously, particularly where there's persistent state, background processing, or consistent load that makes serverless cold-starts and execution limits impractical. We assess this per application rather than defaulting to one model, and the two approaches are often combined — serverless for specific functions, containers for the core application. Migration itself is planned around minimising downtime and risk: environments are separated clearly between development, staging and production, infrastructure is defined in a repeatable way rather than configured manually, and the move happens in stages with a way to roll back if something doesn't go to plan. Where the existing setup is a single ageing server handling everything, even a modest amount of separation between application, database and background jobs can make a noticeable difference before a larger migration is considered.
Work is usually scoped around a subset of these, based on what the architecture review identifies.
Updating an ageing frontend framework or rebuilding specific views without discarding what already works.
Refactoring API design, database queries and service boundaries that have become hard to maintain.
Moving infrastructure to a cloud provider suited to the workload, with environments properly separated.
Automated build, test and deployment pipelines, replacing manual or inconsistent release processes.
Addressing slow queries, inconsistent API design or data structures that no longer fit how the application is used.
Checking dependencies, access controls and configuration for known issues as part of the broader review.
An architecture review gives a clear, honest answer before any migration work starts — including what's fine to leave alone.
Delivery
01
Assess the current application, infrastructure and deployment process to identify what's actually causing friction.
02
Agree what to modernise, what to migrate, and what can be left as it is, in a sequence that reduces risk.
03
Work through frontend, backend and infrastructure changes in stages, keeping the application running throughout.
04
Move infrastructure to its target environment and put automated build, test and deployment pipelines in place.
05
Provide documentation covering the new architecture and decisions made, so the team can maintain it going forward.
FAQ
Not usually. Most applications benefit more from a structured review and targeted changes than a full rebuild. We assess what's genuinely causing problems before recommending a rebuild of any part.
It depends on the workload. Serverless suits intermittent, event-driven tasks well; containers suit continuous processes with persistent state or consistent load. Many applications use a combination.
Migrations are planned in stages, with environments separated and a rollback plan for each stage, rather than a single cut-over with no way back.
We work across the major providers and choose based on the application's requirements, existing infrastructure and any constraints around cost or data residency.
Yes — in many cases, database, API and query-level improvements deliver a meaningful improvement without moving infrastructure at all. The architecture review identifies which applies to your situation.
Documentation and handover are part of the process, covering architecture decisions and the reasoning behind them, so the setup isn't dependent on one person.
This depends on the size and complexity of the application. We scope the review itself before starting, so there's a clear idea of time involved before any commitment.
That's up to you — your own team can take it over with the documentation provided, or it can continue under a managed services arrangement with us. Either way, handover is part of the engagement, not an afterthought.
Capabilities
Deeper detail on the underlying services this work draws on.
SaaS Development
Multi-tenant SaaS products with authentication, billing boundaries and operational tooling.
Cloud Deployment
Environments, deploy pipelines and hosting setups engineered for reliable release.
Backend Development
APIs, domain services and data models that keep products reliable as they grow.
Related services
Related implementation paths that often sit alongside this work.
Managed Application Services
Domain, hosting, deployment and ongoing maintenance for web applications, handled by one technical partner instead of several disconnected providers.
Software Testing & QA
Manual and automated testing — functional, regression, cross-browser and API — to catch issues before customers do.
Custom Web Applications
Custom web applications — dashboards, portals, booking systems and internal tools — built and supported beyond initial launch.
Start with an architecture review — a clear picture of what needs attention before committing to a migration or rebuild.
