DevOps & AWS
Deploy Fast. Stay Reliable.
DevOps transformation and AWS cloud engineering that closes the gap between how quickly your teams write code and how safely it reaches production — with the platform reliability that enterprise-scale workloads require.
Engineering Platforms That Let Your Teams Ship Confidently
Most DevOps problems aren't tooling problems. They're culture and architecture problems that accumulate over years of shipping fast without building the feedback loops that catch problems before they reach production. The result is a team that's afraid to deploy on a Friday — and with good reason, because they've learned the hard way that they can't tell what a deployment is going to do until it does it.
SWA's DevOps and AWS practice builds the engineering platforms, practices, and culture that change that relationship with deployment. CI/CD pipelines with automated quality gates. Infrastructure as code that makes every environment reproducible. Kubernetes platforms that scale without surprises. AWS architectures designed for the availability and cost profile your workload actually needs — not a reference architecture applied without modification.
- CI/CD pipeline design and implementation (GitHub Actions, Jenkins, AWS CodePipeline)
- Infrastructure as Code with Terraform and AWS CDK
- Kubernetes platform engineering (EKS, self-managed)
- AWS architecture design, Well-Architected Reviews, and cost optimisation
- Observability stack implementation (OpenTelemetry, Prometheus, Grafana, CloudWatch)
What We Deliver
CI/CD Pipeline Engineering
Automated build, test, security scan, and deployment pipelines with environment-specific promotion gates — reducing deployment lead time from days to hours while catching regressions that manual processes miss.
Infrastructure as Code
Terraform and AWS CDK modules for every infrastructure component — VPCs, EKS clusters, RDS instances, IAM roles — enabling reproducible environments, version-controlled infrastructure, and safe change management across all stages.
Kubernetes & Container Platforms
EKS cluster design, Helm chart development, GitOps implementation with Argo CD or Flux, and workload right-sizing — so containerised workloads run at the right performance tier without idle compute burning your cloud budget.
AWS Architecture & Migration
Well-Architected Framework reviews, cloud migration planning, and target-state AWS architecture design — for greenfield cloud-native builds and for lift-and-shift-and-optimise migrations of existing on-premises workloads.
Observability & SRE
OpenTelemetry instrumentation, distributed tracing, log aggregation, and SLO/SLA dashboards — giving your engineering teams the signals to identify degradation before users notice it and the data to prioritise reliability improvements.
Cloud Cost Engineering
Reserved instance optimisation, Savings Plans analysis, auto-scaling policy tuning, and right-sizing recommendations — routinely reducing cloud spend by 30–50% without changing a line of application code.
Why Choose SWA for DevOps & AWS
DORA Metrics as Our Target
We measure DevOps transformation success using DORA metrics — deployment frequency, lead time for changes, change failure rate, and time to restore. These are the research-backed indicators of high-performing engineering organisations, not vanity metrics.
Security Baked Into the Pipeline
DevSecOps from the first pipeline we build — SAST, DAST, dependency scanning, container image scanning, and infrastructure security checks integrated as quality gates, not added after an incident makes them mandatory.
Knowledge Transfer Built In
We document everything, pair on implementation, and run internal training sessions — because a platform your team doesn't understand is a platform they'll eventually work around. Your team should own what we build together.
Ready to Deploy Faster and Break Less?
Start with a DevOps maturity assessment — we'll benchmark your current deployment capability against DORA elite performers and give you a prioritised engineering roadmap to close the gap.