Cloud You Can Run, Audit and Afford

Good infrastructure lets every engineer ship with confidence. We design cloud platforms on AWS and GCP that are reproducible, observable and sized for the workload: fast pipelines, a backup ready to take over, automated rollbacks, and monitoring that tells you what's wrong before your users do.

A backup that’s ready to take over. Primary and backup sites in separate regions or data centres, with failover that’s tested, not assumed. Our founder ran Yahoo Finance’s market data this way, across its global data centres.

Event-driven, so one slow part doesn’t stall the rest. Services talk through queues and event buses such as Amazon EventBridge and SQS, and each can fail and recover on its own.

Everything as code, nothing manual. Infrastructure, pipelines, and config are version-controlled and reproducible. Runbooks are for edge cases, not routine deployments.

Ship fast, recover faster. We design deployment pipelines with automated rollbacks, canary releases, and feature flags so a bad deploy never means a long outage.

Observability built in, not bolted on. Every service we deploy ships with structured logs, distributed traces, and metrics dashboards configured from day one.

Security at every layer. Secrets management, least-privilege IAM policies, container hardening, and network policies — security posture is designed in, not reviewed in at the end.

Capabilities

Cloud architecture on AWS and GCP
Cloud migration: from your own servers to the cloud, and between AWS and GCP
Primary and backup sites across regions, with tested failover
Event-driven services on Amazon EventBridge and SQS
CI/CD pipeline design and implementation (GitHub Actions, GitLab CI, CircleCI)
Kubernetes cluster setup, hardening, and day-2 operations
Infrastructure as Code with Terraform and Pulumi
GitOps workflows with ArgoCD and Flux
Observability stacks: Prometheus, Grafana, Datadog, OpenTelemetry
Secrets management: HashiCorp Vault, AWS Secrets Manager
Container security, image scanning, and network policy
Cloud cost optimisation and resource rightsizing

Tools & Platforms

AWS GCP Kubernetes Terraform EventBridge SQS GitHub Actions Docker ArgoCD Helm Prometheus Grafana Loki Datadog Vault

Cloud & DevOps Specialisations

Nine practice areas, from cloud architecture and failover to the pipelines that ship to it.

AWS · GCP

Cloud Architecture

Cloud environments sized for the workload and designed for cost, reliability and security from the start, then reviewed so the bill and the risk don't drift.

VPC design · IAM policies · Landing zones · Cost reviews · Rightsizing

Your servers → AWS / GCP

Cloud Migration

Moving systems from your own servers to the cloud, or between AWS and GCP, one service at a time, with the old and new running side by side until the switch is safe.

Migration plan · Data moves · Parallel running · Cut-over · Rollback plan

Multi-Region · Primary / Backup

Failover & Disaster Recovery

Primary and backup sites in separate regions or data centres, kept in step and tested regularly, so a regional outage is a switch-over, not a shutdown. Built for market data and payments, where downtime is visible at once.

Multi-region design · Replication · Health checks · Failover drills · Recovery runbooks

EventBridge · SQS

Event-Driven Cloud Services

Services that talk through event buses and queues instead of calling each other directly, so a slow or failed part retries on its own and never holds up the rest.

Event routing · Queues · Retries · Dead-letter queues · Idempotent handlers

GitHub Actions · GitLab CI

CI/CD Pipelines

Fast, reliable pipelines that run tests, build artefacts, and deploy to production without manual steps. We design for fast feedback and zero-downtime rollouts as the default.

Build pipelines · Automated testing · Staged deployments · Rollback automation · Canary releases

EKS · GKE · Self-Managed

Kubernetes Orchestration

Cluster design, workload configuration, autoscaling, and day-2 operations for teams moving to Kubernetes or trying to get more out of clusters they already run.

Cluster setup · Helm charts · HPA/KEDA · Network policies · Multi-tenancy · Cost management

Terraform · Pulumi

Infrastructure as Code

Every cloud resource defined, versioned, and reviewed in code. We design IaC modules for reusability across environments and migrate teams from ClickOps to reproducible infrastructure.

Terraform modules · State management · Drift detection · Multi-environment promotion

Prometheus · Grafana · Loki · Datadog

Observability Platforms

Structured logging, distributed tracing, and metrics dashboards configured before code goes to production — not as a post-incident action item. We wire OpenTelemetry across every service we touch.

Metrics · Distributed tracing · Log aggregation · Alerting · SLO dashboards

Vault · SAST · Image Scanning

DevSecOps

Security controls embedded in the pipeline: container image scanning, SAST in CI, secrets management with Vault, and least-privilege IAM policies enforced as code — not a compliance checkbox.

Secrets management · SAST/DAST · Image hardening · Policy as code · Audit logging

Moving to the Cloud, or Making It Reliable?

Tell us where you are. We'll scope a cloud and DevOps engagement that keeps your systems up and your team shipping.