Capabilities/Build/Cloud & Platform Engineering
BuildMicroservices · Containers · Serverless · Edge

Build cloud platforms for releases and easier scaling.

We design and build cloud-native platforms on AWS for teams that need faster releases, safer scaling, and cleaner ownership across applications.

The work covers current-state audit, governance, use-case scoring, architecture direction, and a practical execution path based on your scale, budget, and team capability.

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When this is needed

Three signals that this is the right next step.

01 / Hitting the ceiling Applications cannot scale with user or transaction growth. Traffic grows faster than the current architecture can handle, and scaling decisions are becoming reactive.
02 / Deploys are risky Every deployment carries too much operational risk. Change windows, manual steps, rollback uncertainty, and release anxiety slow down the engineering team.
03 / Monolith is the bottleneck The architecture is now limiting business speed. Teams cannot change, scale, or release independently because core functionality is locked inside one large system.
Reference architecture

Edge to applications. Built on a real foundation.

This is an illustrative architecture. The exact services, account structure, and modernisation path are tailored to your existing estate, regulatory context, workload shape, and team capability.

01 / EDGE

Protect and accelerate traffic before it reaches the app. Akamai Secure Edge, DDoS protection, caching, and performance controls.

02 / APPLICATIONS

Services layers

Choose microservices or serverless where they fit. Containers, APIs, event-driven workloads, and service boundaries sized to the team.

03 / PLATFORM

EKS, ECS, or serverless

Run workloads on the right compute model. Kubernetes, containers, autoscaling, rightsizing, and CI/CD integration.

04 / FOUNDATION

Landing zone

Set the baseline before workloads land.

Multi-account structure, security, network, identity, governance, and cost separation.

05 / MODERNISATION

Incremental migration

Decompose the monolith without a rewrite gamble.

Strangler fig migration and staged service extraction without big-bang rewrites.

EdgeEdge delivery and DDoS protection through Akamai Secure Edge, improving performance and resilience before traffic reaches your applications.
Applications & platformMicroservices, Docker, EKS, ECS, or serverless selected by workload shape and team capacity, not by trend.
FoundationAWS multi-account landing zone with security, network, identity, governance, and cost controls in place from the start.
ModernisationMonolith decomposition through staged migration, preserving customer-facing continuity while architecture improves.
Engineering principles

The platform filter. Built for scale, not sprawl.

We connect service scope, compute choice, landing zone design, release strategy, and modernisation into one operating model so the platform stays useful and governable.

01 / SizeServices fit the team

Decompose services only as far as the operating team can sustain. Avoid creating more services than the organisation can run.

02 / ChooseCompute earns it place

EKS, ECS, and serverless are selected by workload shape, traffic pattern, and ownership needs.

03 / GovernLanding zone before workloads

AAccounts start with security, network, identity, governance, and cost baselines before applications are deployed.

04 / ReleaseDeploy with rollback paths

Blue-green releases, feature flags, and canary patterns make change safer and easier to reverse.

05 / ModerniseIncremental over big-bang

Monoliths are decomposed in stages, with edge delivery and protection added where they improve resilience.

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.

Managed services case studies

Customers who trust us to run their cloud environments.

These are live customer engagements where ICS Compute designed, built, migrated, and continues to operate cloud workloads under managed service agreements. Full case studies are publicly available.

↗ Public Case Study
Healthcare · Multi-outlet Clinic

PT. ERHA Clinic Indonesia

ICS Compute designed and manages the cloud infrastructure supporting ERHA Clinic's digital operations across multiple outlets. The engagement covers cloud environment design, ongoing managed operations, and continuous optimization of cloud costs and performance.

Amazon EC2 Amazon RDS Amazon CloudWatch AWS Backup Managed Operations
↗ Public Case Study
Life Sciences · Pharmaceuticals

PT Genero Pharmaceuticals

ICS Compute manages the cloud infrastructure for Genero Pharmaceuticals, supporting their manufacturing and distribution operations. The engagement includes cloud architecture governance, managed monitoring, incident response, and quarterly cost optimization reviews delivered through regular business reviews.

Amazon EC2 Amazon S3 AWS Systems Manager AWS CloudTrail FinOps
Additional customer references available. ICS Compute maintains a portfolio of managed services customers across multiple industries. Additional case studies, including detailed technical supplements for private engagements, are available upon request.
What we do

What we do.

A Cloud & Platform Engineering engagement covers the foundation, compute platform, delivery model, edge layer, and modernisation approach needed to run applications reliably.

Microservices & containers
Build services the team can operate Containerised microservices on Docker and Kubernetes where service boundaries make operational sense.
Includes service sizing, EKS design, container patterns, and rollout approach.
Serverless
Use event-driven compute where it fits Serverless for variable traffic, event workloads, and workflows that do not need always-on infrastructure.
Includes trade-off review, event design, and integration path.
Landing zone
Create the cloud foundation AWS multi-account landing zone with the right guardrails before workloads are deployed.
Includes security, network, governance, identity, and cost separation.
Edge delivery
Protect and accelerate user traffic Edge delivery and DDoS resilience close to users, sized to your traffic and risk profile.
Includes Akamai Secure Edge, caching, routing, and resilience patterns.
Modernisation
Decompose monoliths in waves Incremental modernisation using the strangler fig pattern instead of big-bang rewrites.
Includes service extraction plan, migration waves, and continuity controls.
After handoff
Operate with the right support model Your team can operate the platform directly or keep ICS engaged through managed operations.
Includes runbooks, transition planning, monitoring, and FinOps path.
After we hand off
After the platform is live, you can keep ICS engaged through Managed Cloud & AI Operations for monitoring, incident response, and FinOps, or your team can take over directly. The handover decision follows your internal capacity, not a vendor lock-in model.
Related capabilities

Where teams go from here.

Transform

Cloud Strategy & Cost Optimization

Where the cloud target architecture and migration roadmap come from before the build starts.

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Operate

DevOps & Site Reliability

CI/CD, infrastructure as code, observability, and SRE practices that make the platform reliable in production.

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Operate

Managed Cloud & AI Operations

Ongoing monitoring, incident response, and FinOps after handover.

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Talk to us

Start with a platform assessment. Then build what matters.

If applications cannot scale, deployments are risky, or a monolith is limiting engineering speed, start with a structured assessment of your current platform.

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

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Platform assessment

What the assessment covers

  • Application and workload inventory
  • Current platform architecture review with bottleneck analysis
  • AWS landing zone gap assessment
  • Modernisation plan: decompose, keep, or retire
  • Reference platform recommendation sized to your scale and team