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PRACTICE / OPERATIONS

AWS, Azure, and Google Cloud — each playing to its strength.

Cloud across all three — with intent.

We design and operate workloads across AWS, Azure, and Google Cloud — picking platforms on architecture fit, not on default. Unified governance, shared identity, shared FinOps posture.

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  1. 01Cloud Consulting & Strategy
  2. 02Cloud Migration Services
  3. 03Cloud Infrastructure

  1. Cloud Consulting & Strategy

    Navigate cloud adoption with clarity and confidence through tailored consulting.

    DELIVERED WITHWell-Architected · CAF · GCP Arch Center

  2. Cloud Migration Services

    Seamless, secure transitions to AWS, Azure, or GCP with minimal disruption.

    DELIVERED WITHMGN · Azure Migrate · M4A

  3. Cloud Infrastructure

    Optimize infrastructure performance, scalability, and costs across all platforms.

    DELIVERED WITHTerraform · Kubernetes · ArgoCD

  4. Cloud Security & Compliance

    Advanced cybersecurity frameworks and regulatory adherence.

    DELIVERED WITHGuardDuty · Defender · SCC

  5. DevOps Automation & CI/CD

    Accelerate and streamline development with integrated DevOps pipelines.

    DELIVERED WITHCodePipeline · GH Actions · Cloud Build

  6. Big Data & AI/ML Services

    Unlock insights and enable intelligent automation using scalable cloud analytics.

    DELIVERED WITHSageMaker · Azure ML · Vertex AI

02 / ENGAGEMENT SPINE

How an aws, azure, gcp engagement actually runs.

Five phases — each with a clear deliverable so the progress is checkable, not vibes. Phases overlap in practice; the rail is sequence, not gates.

  1. 01

    Discover

    Map workloads against platform strengths. AWS for scale, Azure for enterprise, GCP for data — chosen, not assumed.

    • Workload-to-platform map
    • Architecture decisions
  2. 02

    Design

    Design the multi-cloud landing zones, identity federation, and the cross-cloud network and security posture.

    • Landing zones
    • Identity federation
    • Cross-cloud network
  3. 03

    Engineer

    Build with IaC modules that abstract cloud-specific quirks; expose platform-native features where they pay.

    • IaC modules
    • Native bindings
    • Pipelines
  4. 04

    Deploy

    Roll workloads to their chosen cloud in waves. Validate against the strength used to justify the choice.

    • Wave rollouts
    • Validation gates
    • Cost realised
  5. 05

    Operate

    Unified FinOps, unified observability, and a quarterly multi-cloud review against the architecture intent.

    • FinOps cadence
    • Unified obs
    • Quarterly review

03 / TOOLCHAIN

What we reach for on aws, azure, gcp engagements.

Tools are choices, not commitments — substitute per your environment. The grouping below is the shape of the stack, not a vendor list.

AWS

  • EKS
  • Lambda
  • SageMaker
  • S3
  • RDS

AZURE

  • AKS
  • Functions
  • Azure ML
  • Cosmos DB
  • Synapse

GCP

  • GKE
  • Cloud Run
  • BigQuery
  • Vertex AI
  • Spanner

CROSS-CLOUD

  • Terraform
  • Kubernetes
  • Crossplane
  • Anthos

FINOPS & OBSERVABILITY

  • Apptio
  • Datadog
  • Grafana

Bring your aws, azure, gcp brief.A principal responds within one business day.

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