Cloud-native platform architecture on Azure
Handle demand peaks without re-platforming later. We rebuild the workload as cloud-native services on Azure — containers, managed backing services, defined failure domains — for teams already running production traffic.
Capacity is not the constraint
Monolithic applications scale as a single unit: capacity is added by duplicating the whole system, including the parts under no load. When traffic doubles inside a promotional window, the limit is rarely compute — it is the shared database, the synchronous call chain and the release process behind them.
Most re-architecture programmes stall because they start with the platform instead of the workload. We decompose the services that actually carry load, move them onto AKS with managed data services behind them, and leave the rest of the estate untouched until it earns the move. Scaling becomes a decision about which services run independently.
From one system to a set of services
The shift is structural, and it shows up in cost, resilience and release cadence.
Every release moves the whole system.
Deploy one part without touching the rest.
Capacity added to the whole stack.
Elastic capacity where demand actually is.
Patching, versions and downtime you own.
The platform runs it, your team builds on it.
One component breaks and the system stops.
Isolation and graceful degradation by design.
What the engagement includes
We work one workload at a time: service decomposition, an AKS baseline with KEDA-driven autoscaling, managed data and messaging on Azure Service Bus, defined failure domains with measurable recovery targets, and consumption cost tracked in Azure Cost Management. Nothing moves before the target architecture is signed off. If your peak load never exceeds twice your baseline, containerising will not pay for itself and we will say so.
Target architecture
Service decomposition, managed service selection and the resilience model behind it.
Platform build
Containers, orchestration, CI/CD and the runtime your services will live on.
Migration of workloads
Existing services moved onto the platform in a sequence that protects the business.
What working together looks like
- Duration. One workload per iteration, from architecture review to production cutover; weekly working session with your engineering leads until the cutover is signed off.
- Team. One solution architect, two platform engineers and one SRE, working alongside your application owner.
- What we need from you. Reader access to the Azure subscription, current architecture diagrams, peak traffic figures from the last twelve months, and one named application owner per workload.
- What you take away. Target architecture document, Bicep modules for the AKS baseline, the Azure Policy set applied, operational runbooks, and the workload running in production.
- Not included. Application feature development, licence purchasing, 24/7 managed operations after handover, and migration of mainframe or AS/400 workloads.
Start with one workload
Two sessions of ninety minutes with your architects. You leave with a decomposition map of one workload and its AKS target architecture.
Book the architecture review