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04Practice

Cloud engineering and DevOps services with security designed in

Cloud engineering and technology services: migration and architecture on Azure, AWS and Google Cloud, DevOps and CI/CD, infrastructure as code, Kubernetes, observability and cost optimization, delivered by the same organization that assesses and defends these platforms.

Discuss this work
Name
Cloud Engineering
Line
04 · Cloud
Type
Practice, engaged on its own or within a program

01The problem

Speed and security conflict only when architecture is an afterthought.

Cloud projects fail in familiar ways: lift-and-shift migrations that reproduce old problems at new prices, environments built by hand that nobody can rebuild, pipelines with production keys in plain text, and costs that surprise the CFO every quarter.

The same practices that make cloud infrastructure secure (infrastructure as code, least privilege, immutable builds, observability) are the practices that make it fast, rebuildable and affordable. We engineer them in from the start.

IaC is the control point
Infrastructure defined as code can be reviewed, tested, secured and rebuilt. Infrastructure built by hand is hard to review and harder to rebuild.
Guardrails beat gatekeepers
Landing zones and policy-as-code let teams ship autonomously inside safe boundaries. Governance without bottlenecks.
Cost is an engineering output
Right-sizing, scheduling and architecture choices decide what a cloud environment costs. Spend is designed and measured like any other engineering output.

02Scope

What cloud engineering covers.

  • Cloud Migration

    Assessment, planning and execution of workload migrations. Rehost where sensible, re-architect where it pays.

  • Cloud Architecture

    Landing zones, account topology, network design and reference patterns for Azure, AWS and GCP.

  • Cloud Infrastructure & Management

    Ongoing operation of cloud environments: provisioning, patching, scaling and governance.

  • Cloud Cost Optimization

    Spend analysis, right-sizing, reservation strategy and architectural changes with measured savings.

  • Azure / AWS / Google Cloud Services

    Platform-specific engineering across the three major clouds, from networking to PaaS services.

  • DevOps & CI/CD

    Pipeline design and automation: build, test, deploy with rollback. Reliable releases at whatever cadence you need.

  • Infrastructure as Code

    Terraform and Bicep implementations with module standards, state management and drift control.

  • Containers & Kubernetes

    Containerization, cluster design and operations (AKS, EKS, GKE) with security built into the platform.

  • Monitoring & Observability

    Metrics, logs and traces with dashboards and alerting tied to service-level objectives.

  • Automation

    Scripting and workflow automation that removes toil from operations, deployment and compliance evidence.

03Approach

How a cloud engineering engagement runs.

  1. Assess

    Current-state review of workloads, dependencies, constraints and costs.

  2. Architect

    Target design with security, resilience and cost modeled before anything moves.

  3. Build

    Landing zones and platforms delivered as code, with CI/CD from day one. Terraform and pipeline changes are security-reviewed before they are applied.

  4. Migrate

    Phased migration with rollback plans and validation at each wave.

  5. Operate & optimize

    Ongoing management, observability and continuous cost and performance tuning.

04Deliverables

Cloud engineering deliverables.

  • Migration assessment and wave plan
  • Landing zone and architecture as reviewable code
  • CI/CD pipelines with security controls integrated
  • Observability stack with SLO-based alerting
  • Cost optimization report with realized savings tracking

When this work fits

  • Companies planning or mid-way through cloud migration
  • Engineering teams scaling past hand-built infrastructure
  • Organizations whose cloud bill grew faster than their business
  • Teams adopting Kubernetes or platform engineering

05Questions

Cloud engineering: questions we are asked

The one that fits your workloads, team skills and existing commitments. We work across Azure, AWS and Google Cloud. Often the honest answer is the platform your team can operate well.

Most workloads can move with minimal or zero downtime using phased cutover and rollback plans. The migration assessment identifies the few systems needing special handling before anything is committed.

Your choice. Everything we build is documented, coded and owned by you. You can take full handover with training, or retain us for ongoing operations through managed services.

Identity design, policy-as-code, control-plane logging and IaC security checks are built into the landing zone and pipelines from the start. The cloud security practice reviews the design before production workloads arrive.

Often alongside

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