Cloud Engineering & Migration

Cloud Architecture, Migration and Optimization

Cloud architecture, migration, and optimization. AWS, Azure and GCP environments built as code, moved without drama, and tuned for both availability and cost.

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Cloud Engineering & Migration: delivery
mission-control
Running0/6
  • ●cloud architecture
  • ○migration & cutover
  • ○infrastructure as code
  • ○kubernetes platforms
  • ○cost optimisation
  • ○high availability
  • Worker #0028 started [cloud architecture]
0.99%
Availability target
0%
Infrastructure cost saved
0
Downtime cutovers
0%
Infrastructure as code

Everything you need

Six core cloud engineering & migration capabilities engineered to turn strategy into measurable results.

01

Cloud Architecture

Well-architected designs across AWS, Azure, and GCP with clear network, identity, and data boundaries.

02

Migration & Cutover

Wave-based migration with dependency mapping, dual-run validation, and a tested rollback at each step.

03

Infrastructure as Code

Terraform modules with remote state, policy-as-code, and environment parity from dev through production.

04

Kubernetes Platforms

Cluster design, autoscaling, self-healing workloads, and a paved path for teams to deploy onto.

05

Cost Optimisation

Rightsizing, commitment planning, and storage tiering measured against a baseline you agree up front.

06

High Availability

Multi-AZ and multi-region designs with tested failover and a documented recovery objective.

Cloud Engineering & Migration: what ships
  • AWS, Azure, GCPWell-architected environments on any major cloud.
  • Cloud MigrationWave-based moves with rollback at every step.
  • Infrastructure as CodeTerraform-defined, reviewable, reproducible.
  • KubernetesContainer platforms with autoscaling and self-healing.

AWS, Azure, GCP, Terraform

99.99%
Availability target

Cloud environments built as code, moved without drama

Migration fails at cutover, not at design. We plan in waves, map dependencies from real traffic, and keep a tested rollback at every step, each workload is proven in its new home before the old one is retired.

What lands is an environment defined entirely in Terraform, running on Kubernetes where that earns its keep, with multi-AZ availability targets and cost guardrails agreed before the first workload moves.

0%
Infrastructure cost saved
0
Downtime cutovers
0%
Infrastructure as code

Industry Use Cases

Trusted across industries to solve real business problems at scale.

🚚

Data Centre Exit

On-premise estates moved to AWS, Azure, or GCP in waves, with dual-run validation and zero-downtime cutovers.

⚙️

Kubernetes Platforms

Cluster design, autoscaling, and a paved deployment path teams can self-serve onto.

💸

Cost Optimisation

Rightsizing, commitment planning, and storage tiering measured against a baseline agreed up front.

🌐

Multi-Region Resilience

Active-active and warm-standby designs with tested failover and documented recovery objectives.

Cloud Engineering & Migration: where it runs
1Data Centre Exit2Kubernetes Platforms3Cost Optimisation4Multi-Region Resilience
Shared
context

Hover a use case, each one feeds the same shared context.

Cloud Engineering & Migration: workload split
  • AWS, Azure, GCP
  • Cloud Migration
  • Infrastructure as Code
  • Kubernetes

Enterprise-grade cloud engineering & migration for the modern stack

Scalable. Secure. Delivered on time, every time.

Cloud Engineering & Migration: throughput
19.3K rpsnow

Measured across 12 tools in the delivered stack.

Technologies & Tools We Use

Battle-tested tools and platforms powering every cloud engineering & migration engagement.

AWSAzureGCPTerraformKubernetesHelmDockerAnsibleCloudFormationIstioKarpenterVelero
Cloud Engineering Experts

Plan Your Move
to the Cloud

Get a migration plan and cost model within 24 hours. No commitment required.

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