Engineering · Delivery and reliability
DevOps and Platform Engineering
Automated delivery, self-service environments and the observability needed to run services with confidence.
What usually brings people here
Releases that need a person to shepherd them are slow and get avoided. When deploys are rare they are also large, which makes them risky, which makes them rarer still.
How we approach it
We build golden paths: the fast, safe route to production is also the easiest one to take. Pipelines carry quality and security gates, environments are provisioned on request, and service ownership is explicit.
Delivery pipeline
- 1
Commit
Reviewed, on a branch
- 2
Build and test
Unit, integration, evaluation
- 3
Scan
Dependencies and images
- 4
Staging
Environment matches production
- 5
Progressive rollout
Weighted traffic, automatic rollback
- 6
Observe
SLOs, traces, error budget
CI/CD and release automation
Pipelines that build, test, scan and deploy without manual steps, and roll back without drama.
- Build and deployment pipelines with quality gates
- Dependency and container image scanning in the pipeline
- Progressive delivery, canaries and automated rollback
- GitOps workflows for environment state
Platform engineering
A thin internal platform that gives product teams self-service without giving them the whole console.
- Golden paths and service templates
- Self-service environment provisioning
- Paved-road defaults for logging, tracing and secrets
- Developer onboarding measured in hours, not weeks
Observability and SRE
Metrics, logs and traces that answer the question actually being asked during an incident.
- Service-level objectives and error budgets
- Structured logging, metrics and distributed tracing
- Alerts designed around symptoms, not causes
- Incident response process, on-call design and postmortems
Product engineering support
Hands-on delivery alongside your team when capacity or specific expertise is the constraint.
- Backend and API development on AWS
- Integration work across internal and third-party systems
- Performance and capacity work
- Documentation and knowledge transfer as a deliverable, not an afterthought
What you receive
- Delivery pipelines for the services in scope
- Infrastructure and environment definitions as code
- SLOs, dashboards and alert routing
- Incident response runbooks and on-call structure
- Platform documentation and enablement sessions
What should change
- More frequent, smaller and less eventful releases
- Faster recovery when something does break
- Consistent environments from development through to production
- Less operational load on the people who should be building
AWS services we commonly use
- AWS CodePipeline
- AWS CodeBuild
- AWS CodeDeploy
- Amazon CloudWatch
- AWS X-Ray
- OpenTelemetry
- Terraform
- AWS CDK
Talk this through with an engineer
Thirty minutes is usually enough to establish whether this is the right service for your situation.
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