BuildMicroservices · Containers · Serverless · Edge

Platforms that scale with the business, not the bill.

We design and build cloud-native platforms on AWS for organisations whose applications can no longer scale to match growth, where deployments take days, or where a monolithic architecture has become a real bottleneck. As an AWS Premier Partner, our recommendations stay objective: not every system needs Kubernetes, and not every workload belongs in cloud.

When this is needed

Three signals that this is the right next step.

01 / Hitting the ceiling Applications can no longer scale to match user or transaction growth.
02 / Deploys are risky Deploying a change takes days and carries significant operational risk.
03 / Monolith is the bottleneck A monolithic architecture has become a real bottleneck preventing engineering from matching business speed.
Reference architecture

Edge to applications. Sitting on a real foundation.

Illustrative reference architecture. The exact services, account structure, and modernisation path are tailored to your existing estate, regulatory context, and team capability. The shape stays consistent.

01 / EDGE

Edge delivery

Akamai Secure Edge

DDoS protection

Performance & caching

02 / APPLICATIONS

Microservices & serverless

Containers on EKS

Event-driven serverless

03 / PLATFORM

Kubernetes (EKS)

Autoscaling, rightsizing

CI/CD integration

04 / FOUNDATION

AWS multi-account landing zone

Standardised baselines:

· Security baseline

· Network configuration

· Governance guardrails

· Cost & account separation

· Identity & access

05 / MODERNISATION

Strangler fig

Incremental decomposition of monolithic systems

No big-bang rewrites

EdgeEdge delivery and DDoS protection through Akamai Secure Edge. Performance and resilience close to the user, before traffic reaches your applications.
Applications & platformMicroservices on Docker and Kubernetes (EKS), with serverless for event-driven and variable traffic. Service granularity decided by team capability, not by trend.
FoundationAWS multi-account landing zone with standardised security baseline, network configuration, governance guardrails, identity, and cost separation. The platform every workload sits on.
ModernisationApplication modernisation using the strangler fig pattern , incremental decomposition of monolithic systems, never a big-bang rewrite.
Engineering principles

The platform filter. Built for scale, not sprawl.

We merge service scope and anti-patterns into one operating model so the platform is useful, governable, and realistic for the team that has to run it.

01 / SizeServices fit the team

Microservices and containers are decomposed only as far as the operating team can sustain, avoiding service proliferation that makes the platform harder to run than the monolith.

02 / ChooseWorkload-fit compute

EKS, ECS, and serverless each earn their place through workload shape, traffic pattern, and ownership needs, not because Kubernetes became the default answer.

03 / GovernLanding zone before workloads

AWS accounts start with security, network, identity, governance, and cost baselines in place, preventing greenfield account sprawl from becoming quiet technical debt.

04 / ReleaseDeploy without drama

Blue-green releases, feature flags, and canary patterns make change reversible in minutes, removing the need for weekend windows and high-risk deployment events.

05 / ModerniseIncremental over big-bang

Monoliths are decomposed through strangler fig migration, with edge delivery and protection added where it improves resilience, performance, and customer-facing continuity.

Merged platform model

Every architecture choice has to justify its operating cost.

Container platforms, serverless workloads, landing zones, edge delivery, and modernisation waves are selected around the workload and the team. Cost optimisation starts at design time, and recommendations stay objective even where AWS is the target platform.

What we do

What we do.

The services below define the scope of a Cloud & Platform Engineering engagement with ICS. Service selection is tailored per workload.

Microservices & containers
Docker, Kubernetes (EKS) on AWSService granularity sized to team capacity
What this includesContainerised microservices designed to run sustainably with the team that will operate them , not a textbook architecture.
Serverless
Event-driven serverless on AWSFor variable traffic and event workloads
What this includesServerless where the workload pattern fits , not as a default. The trade-offs are deliberate.
Landing zone
AWS multi-account landing zoneSecurity · network · governance baselines
What this includesA standardised foundation that every workload sits on, with guardrails in place before applications land.
Edge delivery
Akamai Secure EdgePerformance · DDoS resilience
What this includesEdge protection and delivery close to your users, sized to your traffic profile.
Modernisation
Strangler fig patternIncremental, never big-bang
What this includesMonolith decomposition done in waves so customer-facing service stays uninterrupted through the migration.
After we hand off
After the platform is live, you can keep ICS engaged through Managed Cloud & AI Operations for 24/7 monitoring, incident response, and continuous FinOps , or your team can take over directly. The handover decision is based on your internal capacity, not on a vendor lock-in model.
Talk to us

Start with a platform assessment. Then build what matters.

If applications cannot scale, deployments take days, or a monolith is the binding constraint on engineering velocity, the next step is a structured assessment of your existing platform.

The output is a platform recommendation and a migration plan your team can execute, or that ICS can deliver. Architecture stays objective even as an AWS Premier Partner.

Start a conversation
Platform assessment

What the assessment covers

  • Application and workload inventory
  • Current platform architecture review with bottleneck analysis
  • AWS landing zone gap assessment against governance and security baselines
  • Modernisation plan: what to decompose, what to leave, and what to retire
  • A reference platform recommendation sized to your scale and team