Cloud architecture for deterministic delivery, regional resilience, and cost discipline.
Platform decisions across identity, network boundaries, workload placement, deployment automation, observability, disaster recovery, and spend control across AWS, Azure, Google Cloud, and Cloudflare.
< 30 min
Recovery time objective
< 5 min
Recovery point objective
Daily
Release cadence
Visible
Unit cost tracking
Platform topology
Edge Layer
Routing, cache, auth
Service Layer
APIs, workers, queues
Data Layer
Primary DB, cache, object storage
Scope
Platform shape, not just infrastructure provisioning
Enterprise cloud delivery spans identity, predictable releases, observable failure modes, and an economic model the business can govern.
Typical cloud budget distribution
Where cloud spend goes
Approximate allocation across enterprise estates
Decision framework
The high-value cloud decisions are tradeoff decisions
Choosing the wrong abstraction locks a team into unnecessary platform complexity or cost long before scale arrives. We evaluate options across multiple axes.
Kubernetes
Best when you operate many services, need tenancy boundaries, custom scheduling, or progressive delivery. The control plane and day-2 operations are expensive if the platform team is thin.
Managed Containers
Strong fit for stateless APIs and worker fleets - container portability without full cluster operations. Less control over specialized networking or mesh.
Serverless
Ideal for bursty, event-driven traffic where scale-to-zero matters. Cold starts and runtime limits become constraints on complex long-lived execution.
Delivery sequence
Structured to reduce migration risk and platform drift
01
Estate Assessment
Map topology, bottlenecks, availability targets, spend
02
Target Architecture
Control plane, runtime mix, data topology, identity model
03
Landing Zone + IaC
Reproducible environments, IAM, secrets, observability hooks
04
Migration & Cutover
Incremental moves with rollback paths and shadow traffic
05
Operate & Optimize
Autoscaling tuning, spend anomalies, SLO alerts
01
Estate Assessment
Map topology, bottlenecks, availability targets, spend
02
Target Architecture
Control plane, runtime mix, data topology, identity model
03
Landing Zone + IaC
Reproducible environments, IAM, secrets, observability hooks
04
Migration & Cutover
Incremental moves with rollback paths and shadow traffic
05
Operate & Optimize
Autoscaling tuning, spend anomalies, SLO alerts
Estate feels overbuilt, under-observed, or too expensive to change?
We review topology, deployment friction, resilience gaps, and spend drivers - then turn that into a practical platform roadmap.