Problem
Software designed for a single server behaves badly in the cloud. It struggles to scale, recovers slowly from failures and wastes money on capacity that sits idle. Teams then spend time managing infrastructure that a managed service could handle for them.
Outcomes
- Services that scale with demand and cost less when demand is low.
- Faster recovery from failures, because components restart and replace themselves.
- Less time spent managing servers.
- Clear separation between components, so each can change independently.
- Built-in monitoring from the start.
Scope
In scope
- Cloud-native architecture design.
- Containerised services and serverless functions.
- Managed databases, queues and storage.
- Event-driven and queue-based processing.
- Monitoring and logging built in.
Not included
- Moving existing workloads unchanged. That sits with cloud migration and modernisation.
Approach
Design for failure
We design each component to fail safely and recover on its own.
Choose managed services
We use managed services where they reduce work and risk.
Build and containerise
We build services as containers or functions, deployed through pipelines.
Instrument
We add logging, metrics and alerts from the first release.
Test under load
We test scaling and recovery before go-live.
Deliverables
Technologies
Controls
Frequently Asked Questions
Do we need Kubernetes?
Often not. Managed container and serverless services give most of the benefit with far less to operate. We recommend Kubernetes only where the scale or control needed justifies it.
Is cloud-native more expensive?
It can be cheaper, because you pay for what you use. It needs cost monitoring in place from the start, which we set up.
Can you make our existing application cloud-native?
Yes, usually in stages, starting with the parts that gain most.
How do you avoid lock-in to one provider?
We use open standards such as containers where it matters, and we document the trade-off where a managed service is worth the dependency.
Building a new service for the cloud?
A Technical Audit reviews your cloud, pipelines and delivery risks in 10 to 15 working days and gives you a prioritised remediation plan.