Cloud-Native & Platform Engineering Services

Cloud-native architecture, container orchestration, and platform engineering — the foundation that makes every application scalable, resilient, and ready for AI workloads from day one.

The application you build is only as good as the platform it runs on.

Cloud-native is not moving your servers to the cloud. It is rearchitecting how your software is built, deployed, and scaled — so the platform works for your business, not against it.

Scale on demand

Platforms that scale up when load arrives and scale down when it passes — not over-provisioned and expensive 24/7 for peak capacity.

Deploy with confidence

CI/CD pipelines and container orchestration that make every deployment repeatable, safe, and reversible — not a high-risk manual event.

Ready for AI workloads

GPU instances, feature serving endpoints, LLM inference infrastructure, and real-time data pipelines require a platform built for them from the start.

We architect cloud-native platforms that deliver all three — from the first infrastructure decision.

Architecture, platform engineering, and cloud migration — each delivering the foundation your applications need.

Cloud-Native Application Architecture

Designed for elasticity, resilience, and operational simplicity

Cloud-native architecture is the set of design decisions that determine whether your application scales gracefully under load, recovers automatically from failure, deploys safely without downtime, and runs cost-efficiently at any scale. We make these decisions deliberately — at the architecture stage, not after the first production incident.

Twelve-factor application design — stateless services, environment-based configuration, and disposable infrastructure for predictable, scalable applications
Twelve-factor application design — stateless services, environment-based configuration, and disposable infrastructure for predictable, scalable applications
Kubernetes platform engineering — cluster design, namespace strategy, RBAC, network policies, horizontal pod autoscaling, and cluster autoscaler configuration
Kubernetes platform engineering — cluster design, namespace strategy, RBAC, network policies, horizontal pod autoscaling, and cluster autoscaler configuration
Service mesh implementation — Istio or Linkerd for service-to-service security, traffic management, observability, and canary deployment control
Multi-cloud and hybrid architecture — workload placement strategy, data residency compliance, and vendor portability for long-term platform flexibility

Platform Engineering & Developer Experience

Internal platforms that make your engineering team faster

Platform engineering is the discipline of building internal developer platforms (IDPs) that abstract infrastructure complexity from application teams — letting engineers focus on features, not on configuring cloud resources. We design and build internal platforms that standardise how applications are deployed, monitored, and operated across your engineering organisation.

Internal developer platform (IDP) design — golden path templates, self-service deployment workflows, and environment provisioning that reduce developer friction
Infrastructure as Code — Terraform, Pulumi, and AWS CDK for versioned, reviewable, reproducible cloud infrastructure across all environments
Platform service catalogue — standardised shared services (auth, logging, secrets management, feature flags) that every application team can consume reliably
Developer portal implementation — Backstage or custom portals with service catalogue, documentation, runbooks, and deployment workflows in one place
GitOps workflows — ArgoCD and Flux-based continuous deployment with declarative infrastructure state, automated drift detection, and audit trails
Cost governance and FinOps — resource tagging, cost allocation dashboards, rightsizing recommendations, and budget alerting across cloud environments

Cloud Migration & Modernisation

Move to cloud with confidence — not just lift-and-shift

Cloud migration is only valuable when the result is a genuinely cloud-native platform — not the same architecture on rented servers. We execute cloud migrations that rearchitect applications for cloud-native patterns as they move, delivering the performance, scalability, and cost efficiency that cloud adoption is supposed to provide.

Migration assessment and planning — full application portfolio analysis, cloud-readiness scoring, and phased migration roadmap with risk and dependency mapping
Lift-and-shift where appropriate — fast, low-risk migration for stable workloads where architectural change is not the priority
Re-platform to managed services — migrate from self-managed databases, message queues, and caches to cloud-managed equivalents for reduced operational overhead
Re-architect for cloud-native — containerise, decompose, and redesign applications to take full advantage of cloud elasticity and managed platform services
Database migration and modernisation — on-premise SQL Server, Oracle, and PostgreSQL to cloud-native equivalents with zero-downtime cutover strategies
Cost optimisation post-migration — reserved instance planning, spot instance strategies, architectural rightsizing, and waste elimination after initial migration

From cloud foundation to observability. AI workloads as first-class citizens throughout.

Platform Layer

What Gets Built Here

Cloud Foundation

Landing zone design, account structure, networking (VPC, subnets, peering), IAM framework, and security baseline — the governed cloud foundation every workload runs inside

Container Platform

Kubernetes clusters (EKS, AKS, GKE), node group strategy, storage classes, ingress controllers, certificate management, and cluster lifecycle automation.

Application Platform

Deployment pipelines, Helm charts, GitOps workflows, environment promotion, feature flags, and blue/green deployment tooling — the standard path for every application team

Shared Services Layer

Authentication (OAuth, OIDC), secrets management (Vault, AWS Secrets Manager), distributed caching, message queuing, and API gateway — consumed by all applications.

AI & Data Platform

GPU node pools, model serving infrastructure, vector database endpoints, feature store connections, and real-time data pipeline access — AI workloads as first-class platform citizens.

Observability Platform

Centralised logging (ELK, CloudWatch), distributed tracing (Jaeger, X-Ray), metrics (Prometheus, Grafana), alerting, SLO tracking, and incident response workflows.

Vendor-agnostic recommendations based on your workloads, compliance requirements, and existing investments.

Amazon Web Services

EKS · ECS · Lambda · RDS · Aurora · S3 · SQS · API Gateway · CloudFront · Cognito

Broadest managed service portfolio. Strong for organisations prioritising flexibility, open-source tooling, and multi-region deployments.

Microsoft Azure

AKS · Azure Functions · App Service · Azure SQL · Cosmos DB · Service Bus · APIM · Azure AD B2C

Strongest integration with Microsoft ecosystem — Dynamics 365, Office 365, Azure OpenAI, and Power Platform

Google Cloud Platform

GKE · Cloud Run · Cloud Functions · Cloud SQL · Spanner · Pub/Sub · Apigee · Firebase

Best-in-class Kubernetes (GKE Autopilot), Vertex AI integration, and serverless container runtime (Cloud Run).

Every regulated industry has distinct AI governance requirements. We know them.

Healthcare & Life Sciences

HIPAA-compliant Kubernetes platform — EKS or AKS with PHI data boundary controls, audit logging, encrypted storage, and BAA-ready infrastructure for clinical applications

Healthcare SaaS platform engineering — multi-tenant AKS architecture with per-client namespace isolation, FHIR API gateway, and SOC2-compliant infrastructure

Clinical AI infrastructure — GPU node pools for model inference, FHIR data pipelines, and low-latency serving endpoints for real-time clinical decision support

EHR integration platform — cloud-native middleware for HL7 FHIR, CDA, and X12 EDI processing with high availability and regulatory audit trails

Financial Services

PCI-DSS compliant cloud platform — network segmentation, encryption at rest and in transit, access logging, and audit trail architecture for payment processing systems

Low-latency trading infrastructure — optimised EKS configurations with node affinity, priority classes, and network tuning for sub-millisecond application response

Financial SaaS platform — multi-tenant architecture with regulatory data residency controls, per-customer encryption keys, and SOC2 Type II-ready platform design

Core banking cloud migration — phased migration from on-premise to AWS or Azure with zero-downtime cutover and comprehensive rollback planning

Enterprise SaaS & Product

SaaS platform engineering — multi-tenant Kubernetes with namespace-per-tenant isolation, usage-based billing infrastructure, and horizontal scaling for enterprise customers

Internal developer platform — golden path templates, self-service environment provisioning, and developer portal that reduced deployment time from days to hours

Platform migration — lift-and-rearchitect from VM-based monolith to containerised microservices with CI/CD and auto-scaling delivering 40% infrastructure cost reduction

AI-native platform design — GPU-enabled Kubernetes with model serving sidecars, feature store integration, and LLM inference endpoints as platform-standard services

40%

Infrastructure cost reduction after cloud-native rearchitecture

99.9%

Platform uptime for production Kubernetes environments

10×

Faster deployment frequency with CI/CD and GitOps pipelines

Zero

Downtime deployments with blue/green and canary strategies

The complete cloud-native stack from Kubernetes to developer platforms.

Domain	Tools & Platforms
Container Orchestration	Kubernetes · EKS · AKS · GKE · OpenShift · Rancher
Infrastructure as Code	Terraform · Pulumi · AWS CDK · Bicep · Crossplane
CI/CD & GitOps	GitHub Actions · ArgoCD · Flux · Tekton · GitLab CI · Azure DevOps
Service Mesh	Istio · Linkerd · Consul · AWS App Mesh
Observability	Prometheus · Grafana · Jaeger · OpenTelemetry · Datadog · New Relic
Secrets & Security	HashiCorp Vault · AWS Secrets Manager · Azure Key Vault · OPA · Falco
Developer Platform	Backstage · Port · Cortex · Humanitec · Internal Platform (custom)

DevOps, CI/CD & Cloud Infrastructure

Deployment pipelines, infrastructure automation, and continuous delivery running on this platform.

AI Engineering & Platform

LLM inference, model serving, and AI workload infrastructure as a platform-level capability.

Microservices & Event-Driven Architecture

Application architecture patterns that run on the cloud-native platform we build.

Custom Application Development

The applications deployed and scaled on the cloud-native platform we engineer

The platform decisions you make today determine what your applications can do in three years. Let’s make them deliberately.

Industries we serve

We collaborate with global technology leaders to deliver secure and scalable growth-driven digital solutions. Our partnerships strengthen our ability to innovate, accelerate transformation, and drive measurable business impact for our clients.

Case Studies

We used generative AI to automate documentation, compliance checks, and medical coding. The solution improves accuracy, cuts manual effort, speeds turnaround, and ensures regulatory compliance in clinical use.

0 +

200 +

When patient data was summarized clearly, documentation felt less burdensome. With CaliberFocus, clinician satisfaction rose from 58% to 81% without changing how teams work.

Dr. Rebecca HallCMIO, Healthcare

Better documentation and fewer audit issues delivered real savings. With CaliberFocus, billing compliance improved to 98.6%, reducing risk while easing the burden on clinicians.

Sophia WilliamsCTO, Clinical care

We gained clear visibility into student performance. Engagement rose, scores improved, and administrative effort dropped by nearly 30 percent, giving educators time to teach.

Andrew MillerDirector, Education Technology

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Cloud-Native & Platform Engineering

Infrastructure That Scales With Your Ambitions, Not Against Them.

What cloud-native architecture actually means?

Scale on demand

Deploy with confidence

Ready for AI workloads

What we build?

Three cloud-native platform engineering capabilities

Cloud-Native Application Architecture

Platform Engineering & Developer Experience

Cloud Migration & Modernisation

The platform architecture

Production cloud-native platform — six layers

Platform Layer

What Gets Built Here

Cloud Foundation

Container Platform

Application Platform

Shared Services Layer

AI & Data Platform

Observability Platform

Cloud coverage

AWS, Azure, and GCP — We work across all three

Amazon Web Services

Microsoft Azure

Google Cloud Platform

Where this works?

Cloud-native platform engineering in production

Healthcare & Life Sciences

HIPAA-compliant Kubernetes platform — EKS or AKS with PHI data boundary controls, audit logging, encrypted storage, and BAA-ready infrastructure for clinical applications

Healthcare SaaS platform engineering — multi-tenant AKS architecture with per-client namespace isolation, FHIR API gateway, and SOC2-compliant infrastructure

Clinical AI infrastructure — GPU node pools for model inference, FHIR data pipelines, and low-latency serving endpoints for real-time clinical decision support

EHR integration platform — cloud-native middleware for HL7 FHIR, CDA, and X12 EDI processing with high availability and regulatory audit trails

Financial Services

PCI-DSS compliant cloud platform — network segmentation, encryption at rest and in transit, access logging, and audit trail architecture for payment processing systems

Low-latency trading infrastructure — optimised EKS configurations with node affinity, priority classes, and network tuning for sub-millisecond application response

Financial SaaS platform — multi-tenant architecture with regulatory data residency controls, per-customer encryption keys, and SOC2 Type II-ready platform design

Core banking cloud migration — phased migration from on-premise to AWS or Azure with zero-downtime cutover and comprehensive rollback planning

Enterprise SaaS & Product

SaaS platform engineering — multi-tenant Kubernetes with namespace-per-tenant isolation, usage-based billing infrastructure, and horizontal scaling for enterprise customers

Internal developer platform — golden path templates, self-service environment provisioning, and developer portal that reduced deployment time from days to hours

Platform migration — lift-and-rearchitect from VM-based monolith to containerised microservices with CI/CD and auto-scaling delivering 40% infrastructure cost reduction

AI-native platform design — GPU-enabled Kubernetes with model serving sidecars, feature store integration, and LLM inference endpoints as platform-standard services

What you can expect?

Outcomes from cloud-native platform projects

40%

99.9%

10×

Zero

The ToolChain

Tools & technologies we work with

Why CaliberFocus?

What makes our platform engineering different?

AI Platform Engineering as a Core Skill

Security and Compliance by Architecture

Platform Engineering, Not Just DevOps

Economics Built Into Every Decision

Connected Services

What runs on this platform?

DevOps, CI/CD & Cloud Infrastructure

AI Engineering & Platform

Microservices & Event-Driven Architecture

Custom Application Development

Ready to build a platform your applications can grow into?

Industries we serve

Healthcare

Industrial Manufacturing

Banking and Finance

Retail and Ecommerce

Pharma & Life Sciences

Logistics and Supply Chain

Energy and Utilities

Media and Entertainment

Travel and Hospitality

Education & EdTech

Application innovation backed by deep engineering..

Measurable Results

True Partnership Model

Rapid Innovation Velocity

Enterprise-Grade Security

Infrastructure That Scales With
Your Ambitions, Not Against Them.

Enhancing
Clinical Care,
Fewer Readmits!