Cloud & DevOps Excellence
Releasing should be the least interesting part of the week. We put the pipeline, the infrastructure definition and the alerting in place so deploying is routine and the on-call rota is quiet.
How the engagement runs
Agreed before we start, not discovered later. You own everything we produce, whether or not you continue with us.
- 01
Review
Delivery assessment
- 02
Pipeline
Working CI/CD + rollback
- 03
Infrastructure
IaC + credential model
- 04
Observability
Alerting + runbooks
- Starts with
- Delivery + infra review
- You get
- Pipeline + IaC + alerting
- Shape
- Project or retained support
You are probably here because
If none of these sound familiar, this may not be the practice you need. Tell us what is actually happening.
- 01
Deploys that happen on Friday only if someone is brave
- 02
Staging that does not match production closely enough to trust
- 03
Alert fatigue: pages that get acknowledged and ignored
- 04
Shared credentials in a password manager
What makes a release boring
Not all four land in every engagement. We scope to what the problem actually needs.
Every gate automated
Tests, build, staging and production run as one pipeline. Nothing reaches production by hand, and rollback is a single command.
Infrastructure as code
One definition applied to every environment, so staging genuinely resembles production and a new environment is a config change.
Alerts on symptoms
Paging on user-visible latency and error rates rather than CPU spikes, so the on-call rota is woken for things that actually matter.
Short-lived credentials
No long-lived keys in the repo or in CI. Every actor gets scoped, expiring tokens for the resource it needs.
What we can point at
Including where we cannot. An unproven claim is worth less to you than a stated limit.
No cloud partner status or team certifications
We hold none, and would rather say so than imply otherwise. Ask us to walk through a pipeline we have built instead.
Where we work day to day
Vercel and AWS in production across our own products; GCP and Kubernetes on a smaller number of engagements. We will tell you which of those is a stretch for us.
Every product we run ships through the pipeline described here
Automated gates, infrastructure as code and short-lived credentials: the same setup, not a diagram drawn for this page
See itQuestions this answers
If you cannot answer these about your current system, that is usually where we start.
Why does deploying still take a person and an afternoon?
Can we rebuild this environment if we lose it?
Why is on-call being paged for things nobody acts on?
Where are our production credentials, and who can use them?
How the engagement runs
Indicative, not a template. The shape holds; the depth of each phase moves with the problem.
Review
We look at how a change actually reaches production today, where it waits, and what breaks when it goes wrong.
Delivery assessment
Pipeline
Automated build, test and deploy with a real staging environment and a rollback that has been exercised, not just documented.
Working CI/CD + rollback
Infrastructure
Environments defined in code, secrets moved to short-lived tokens, and access scoped per actor.
IaC + credential model
Observability
Dashboards and alerts tuned to user-visible symptoms, with a runbook for each alert that can actually page someone.
Alerting + runbooks
What we reach for first
Not the only things we work with: the ones we default to unless there is a reason not to.
Cloud
- AWS
- GCP
- Vercel
Infrastructure
- Terraform
- Containers
- Kubernetes
Delivery
- GitHub Actions
- Staged deploys
- Rollback
Operations
- OpenTelemetry
- Grafana
- Runbooks
Tell us what you’re trying to build
An idea, a stalled project, or a system that has outgrown its architecture. Send it over and we’ll tell you where we would start and whether we’re the right team for it.
- Response time
- Within one business day
- First call
- 30 minutes, no deck
Prefer to write first? Send the brief and we’ll come back with questions before we come back with a proposal.