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Anonymised client · Existing SaaS evolution
A working platform that had outgrown its original architecture. Auth, data, and observability rebuilt without a service interruption — the customers never noticed.
Outcome
Zero downtime
during cutover
Capabilities
The lede
A growing SaaS platform had reached the limits of its original architecture. Rather than dealing with unstable legacy code or undertaking a risky full rewrite, the client needed a controlled upgrade.
Objectives
Approach
Platform evolution, not legacy recovery. We identified clear boundaries where the system could be upgraded, replaced, or isolated — then introduced new components alongside the existing ones, gradually assuming responsibility from the older parts. The platform improved incrementally without the risk or downtime of a full rewrite.
→ The upgraded platform let the business move forward confidently. By modernising incrementally, the client avoided the risk of a full rebuild while gaining a cleaner architecture, faster development cycles, and improved long-term maintainability. The platform stopped being a constraint.
Engineering highlights
Architecture upgrade
Clear separation of concerns and modern service boundaries
Incremental replacement
New, clean components introduced alongside existing functionality
Performance
Targeted optimisations and caching in upgraded code paths
Modern tooling
Updated build, deployment, and development workflows
Release safety
Safer deployment strategies enabling confident iteration
Observability
Improved visibility into system behaviour and performance
Outcome
Zero downtime
during cutover
Reflection
Existing platforms can be modernised deliberately without inheriting long-term debt. By focusing on upgrades, boundaries, and forward-looking architecture, we help teams move away from legacy constraints toward systems that support growth.
Further reading
SaaS Platform
A product-led business needed a SaaS that could support multiple frontends, partner integrations, and future expansion without repeatedly reworking core logic.
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AI Automation
Categorisation, summarisation, and triage automated across an operations team's daily workload. Graceful degradation when the model is unavailable — never hard-fail.
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AI Platform
A documentation platform that reads code and emits prose a non-engineer can act on. Used internally on every Canarlo build.
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