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Cloud solutions

Modernize. Migrate. Scale.

From aging on-premise systems to cloud-native platforms on AWS — containerized, automated and ready for data and AI.

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See The Path
  • AWS
  • Docker
  • Kubernetes
  • CI/CD

The modernization path

From Legacy To Intelligent — One Layer At A Time.

Modernization is a sequence, not a leap. Each layer builds on the one before it, so the business keeps running throughout.

  1. Stage 01

    Legacy

    Critical systems on fixed servers — reliable, but expensive to change and hard to scale.

    • On-premise servers
    • Monolith
    • Legacy DB

  2. Stage 02

    Integration

    APIs and adapters wrap the legacy system so new capabilities can connect without touching its core.

    • APIs
    • Adapters
    • Data sync

  3. Stage 03

    Cloud

    Secure AWS foundations — networking, identity and managed services — defined as code.

    • AWS
    • VPC
    • Managed services

  4. Stage 04

    Modern Application

    Capabilities rebuilt as containerized services, deployed automatically and scaled on demand.

    • Containers
    • Kubernetes
    • CI/CD

  5. Stage 05

    Data

    Data moves into managed stores and pipelines — consistent, governed and ready for analysis.

    • Managed databases
    • Data lake
    • Pipelines

  6. Stage 06

    AI

    With modern apps and clean data in place, analytics and AI become straightforward to add.

    • Analytics
    • ML models
    • AI services

Kubernetes, demonstrated

Capacity That Follows Demand.

Drag the traffic slider. The Horizontal Pod Autoscaler adds and removes pods to keep CPU near its target — the same way your production platform would.

Pod
The smallest deployable unit — one or more containers running together.
Deployment
Declares how many pods should run and rolls out new versions safely.
Service
A stable address that load-balances traffic across healthy pods.
Autoscaler
Adds or removes pods based on CPU, memory or custom metrics.
aws / eks-cluster / autoscalingHealthy
Load balancer · 460 req/s

node-a

pod
pod

node-b

pod
pod

node-c

pod
pod
Traffic
460 req/s
Running pods
6 / 12
Avg CPU · target 60%
51%
35%

Containers

From Code To Running Container.

Every service is packaged the same way — so it runs identically on a laptop, in CI and in production.

01

Dockerfile

FROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --omit=dev
COPY . .
CMD ["node", "server.js"]

The service's runtime, dependencies and start command — versioned with the code.

02

Image

app code
dependencies
runtime
base OS

Immutable, layered and scanned for vulnerabilities in CI.

03

Registry

  • api:1.4.2latest
  • api:1.4.1
  • api:1.4.0

Tagged versions stored privately, ready for any environment.

04

Containers

Kubernetes runs identical containers — rolled out gradually, replaced if unhealthy.

AWS building blocks

The Foundations We Build On.

Managed services chosen for each workload — so teams spend time on the product, not on running servers.

  • Compute

    Right-sized compute for every workload, from containers to serverless.

    • EC2
    • ECS
    • EKS
    • Lambda

  • Storage

    Durable object and block storage with lifecycle policies.

    • S3
    • EBS

  • Databases

    Managed relational and NoSQL databases with automated backups.

    • RDS
    • Aurora
    • DynamoDB

  • Networking

    Private networks, global delivery and DNS.

    • VPC
    • CloudFront
    • Route 53

  • Security

    Least-privilege identity, encryption keys and web protection.

    • IAM
    • KMS
    • WAF

  • Observability

    Metrics, logs, traces and alerts in one place.

    • CloudWatch
    • X-Ray

Migration strategies

The Right Move For Each Workload.

  1. Rehost

    Lift and shift to cloud infrastructure for a fast, low-risk first move.

    Effort

  2. Replatform

    Adopt managed services — databases, containers — without rewriting the app.

    Effort

  3. Refactor

    Rebuild into cloud-native services where agility and scale matter most.

    Effort

  4. Retire

    Decommission what's no longer needed and simplify the estate.

    Effort

In practice

Platforms We Run On.

  • Google cloude plateform

    Scalable cloud infrastructure for secure and high-performance applications.

  • AWS

    Powerful cloud computing services for scalable and reliable solutions.

  • Azure Cloude services

    Enterprise cloud solutions with strong security and global scalability.

Cloud solutions

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