Technology — Cloud & DevOps
Cloud infrastructure that pays for itself.
Multi-cloud engineering across Azure, AWS, and GCP — with a proven track record of 40%+ cloud cost reduction. We build infrastructure that's reliable, observable, and designed to cost what it should.
Proof Point
40%+ Azure cost reduction — not an estimate, a result.
Cloud costs grow in the dark. Teams provision resources for peak load and forget them. Reserved capacity goes unused. Storage accumulates. Dev environments run on weekends. By the time someone looks at the bill, the waste is baked into the architecture.
We've audited enterprise Azure environments and delivered sustained reductions averaging over 40% — not by removing capability, but by right-sizing, reserving intelligently, and redesigning the workloads that were costing the most.
The savings are documented, reversible, and monitored. We set up cost alerting and dashboards so the savings don't erode six months later when the team is distracted by other priorities.
Resource Right-Sizing
VM SKU analysis against actual CPU/memory utilisation. Most enterprise workloads run at 15-30% of provisioned capacity.
Reserved Instance Strategy
Committing the right workloads to 1- or 3-year reservations delivers 40-72% discount over pay-as-you-go.
Spot & Preemptible Workloads
Batch jobs, ML training, and non-time-critical workloads migrated to spot pricing at 60-90% reduction.
Storage Tiering
Blob, archive, and lifecycle policies to ensure data sits in the right tier — not everything at hot access pricing.
Architecture Refactoring
Replacing always-on services with serverless functions or event-driven consumers where usage patterns allow.
Continuous Cost Monitoring
Azure Cost Management dashboards, budget alerts, and tag enforcement so anomalies surface in hours, not billing cycles.
Cloud & DevOps Capabilities
From greenfield cloud-native builds to legacy lift-and-shift, cost audits to full platform re-architecture — led by engineers with 30 years of infrastructure experience.
Azure Architecture & Development
End-to-end Azure cloud solutions — App Services, Azure Functions, AKS, Azure SQL, Cosmos DB, Service Bus, and Azure DevOps pipelines. We've delivered Azure-hosted systems processing millions of transactions for enterprise clients across multiple industries.
AWS Cloud Engineering
AWS architecture and implementation across EC2, ECS/EKS, Lambda, RDS, DynamoDB, SQS/SNS, and CloudFormation. Application modernisation, lift-and-shift migrations, and greenfield cloud-native builds on AWS.
Google Cloud Platform
GCP deployments on GKE, Cloud Run, BigQuery, Cloud Functions, and Pub/Sub. Data engineering workloads, machine learning pipelines on Vertex AI, and multi-cloud architectures spanning GCP and Azure or AWS.
Container Orchestration
Docker containerisation and Kubernetes orchestration for reliable, scalable deployments. Helm chart development, cluster management on AKS, EKS, and GKE, horizontal pod autoscaling, and service mesh configuration with Istio.
CI/CD Pipelines
Automated build, test, and deployment pipelines using GitHub Actions, Azure DevOps, GitLab CI, and Jenkins. Blue-green deployments, canary releases, feature flag integration, and automated rollback on failure detection.
Infrastructure as Code
Terraform and Bicep for declarative, version-controlled infrastructure. Immutable infrastructure patterns, environment parity between staging and production, and drift detection to prevent undocumented manual changes.
Cloud Cost Optimisation
Systematic cost reduction through right-sizing, reserved instance strategy, spot instance workload migration, storage tiering, and architecture refactoring. We've delivered 40%+ Azure cost reductions — with documented methodology and ongoing monitoring.
Observability & SRE
Full-stack observability with structured logging, distributed tracing (OpenTelemetry), and metrics dashboards. SLI/SLO definition, alerting strategy, runbook development, and on-call rotation design for mature operations teams.
Technology Stack
DevOps Maturity Model
We meet you where you are. Whether you're running manual deployments or already on Kubernetes and want to improve your SLOs — we have a path forward.
Foundation
- Source control and branch strategy
- Automated build pipelines
- Environment standardisation
- Basic monitoring and alerting
Acceleration
- Automated testing integration
- Containerisation with Docker
- Infrastructure as code (Terraform)
- Secret management (Vault, Key Vault)
Scale
- Kubernetes orchestration
- Blue-green and canary deployments
- Distributed tracing and full observability
- SLI/SLO definition and dashboards
Optimisation
- Cloud cost governance framework
- GitOps with ArgoCD or FluxCD
- Policy as code (OPA)
- Chaos engineering and game day exercises
Concerned about your cloud costs or deployment reliability?
We'll audit your current infrastructure and give you an honest, prioritised list of improvements — no obligation.