CI/CD Pipeline Engineering
Build, test and release automation that turns a merge into a production deployment — with quality gates, artefact promotion and instant rollback.
- GitHub Actions
- GitLab CI
- Jenkins
- Argo CD
Grey Bracket designs, builds and operates the pipelines, cloud infrastructure and observability that let your team release many times a day — safely, securely and at a cost you can predict.
No lock-in. You own every pipeline, module and runbook we write.
Trusted by platform and engineering teams at
From the first pipeline to a fully managed platform, we cover every layer of modern software delivery — and hand it over documented, tested and reproducible.
Build, test and release automation that turns a merge into a production deployment — with quality gates, artefact promotion and instant rollback.
Build production-ready AI applications and agents on AWS — from conversational analytics and natural-language data exploration to agentic workflows and enterprise GenAI platforms.
Every environment described in version-controlled modules, so staging and production stop drifting apart and a new region is a pull request.
Production-grade clusters with GitOps delivery, autoscaling, network policy and a sane upgrade path — on any cloud or on-premises.
Assessment, landing zone, migration waves and cutover. We move workloads without the weekend-long outage and modernise what is worth modernising.
Secrets management, SAST/SCA/DAST, signed artefacts and policy as code — so audits become a report you export, not a project you dread.
Metrics, logs and traces that answer real questions, with SLOs, error budgets and alerting that pages a human only when a human is needed.
Find the spend nobody owns. Rightsizing, commitment planning, autoscaling and per-team showback that keeps the bill honest month after month.
An internal developer platform with golden paths, self-service environments and templates, so shipping a new service takes an afternoon.
We take the pager. Patching, upgrades, capacity, incident response and monthly reporting — with named engineers who know your stack.
Infrastructure, pipelines, policy and runbooks — all as code, all repeatable.
Least privilege, signed artefacts and scanning built into the pipeline, not bolted on.
Architecture that survives the traffic spike you have not had yet.
SLOs, traces and dashboards that tell you what broke before your customers do.
Every resource tagged, owned and sized for what it actually does.
Most teams do not have a deployment problem — they have a confidence problem. We rebuild your delivery path so that every merge is automatically built, tested, scanned, signed and promoted through environments, with a rollback that takes one click.
# build → scan → sign → deploy, on every merge on: push: branches: [main] jobs: ship: uses: greybracket/pipelines/.github/workflows/ship.yml@v3 with: service: checkout-api environments: staging,production strategy: canary slo_gate: 99.9
Click-ops leaves you with an environment nobody can rebuild. We codify what you already run, break it into reviewed modules, and put a plan-and-approve workflow in front of every change — so infrastructure gets the same rigour as application code.
# one module, every environment module "platform" { source = "git::ssh://git@github.com/acme/tf-modules//platform?ref=v4.2.0" environment = "production" region = "eu-west-1" cluster_version = "1.30" min_nodes = 6 max_nodes = 48 enable_gitops = true enable_otel = true }
# unsigned images never reach production package kubernetes.admission deny[msg] { input.request.kind.kind == "Pod" image := input.request.object.spec.containers[_].image not signed(image) msg := sprintf("unsigned image: %v", [image]) }
Security reviews at the end of a release are how deadlines slip. We move the controls left — into the pull request, the build and the admission controller — so risky changes are blocked automatically and your evidence for auditors generates itself.
Every engagement starts with evidence and ends with your team owning the result. You see working automation in the first two weeks, not a slide deck.
Two-week audit of pipelines, infrastructure, security posture and cloud spend, scored against DORA and a written findings report.
A target architecture, migration sequence and automation backlog agreed with your engineers — with effort and cost attached.
We build in two-week increments: modules, pipelines, clusters and policies, reviewed in your repos through normal pull requests.
Cutover, on-call, runbooks and enablement sessions. We stay on the pager until your team is comfortable taking it back.
Monthly reviews of reliability, delivery metrics and cloud spend, with a prioritised list of the next improvements worth making.
We are deliberately tool-agnostic. These are the platforms our engineers run in production every week — and we will happily work in the stack you already have.
The controls change by sector; the engineering discipline does not. We adapt compliance, residency and availability requirements to your industry.
A defined outcome — a migration, a pipeline rebuild, a Kubernetes rollout — delivered to an agreed scope and date.
An embedded squad working in your repos, your stand-ups and your board — with a lead engineer accountable for outcomes.
We run the platform: monitoring, patching, on-call, incident response and continuous improvement, under an agreed SLA.
A card-issuing platform releasing fortnightly behind a maintenance window moved to canary deploys on every merge, with automated compliance evidence.
Rightsizing, Karpenter-based autoscaling and commitment planning cut steady-state spend while doubling peak capacity headroom.
A multi-account AWS landing zone, encrypted data paths, policy as code and continuous evidence collection built ahead of a funding round.
Most engagements begin within two weeks of a signed scope. The free DevOps health check can usually start within a few days — it needs read-only access to your repositories, cloud accounts and monitoring.
Yes. We work in your Git provider, your ticketing system and your cloud accounts, and we submit changes as ordinary pull requests your engineers review. Nothing is developed in a separate environment and thrown over a wall.
You keep everything: modules, pipelines, dashboards, policies and runbooks, all in your own repositories under an open licence. We run handover sessions and pair with your engineers before we step back, and there is no proprietary Grey Bracket layer you would need to keep paying for.
That is usually the cheaper answer, and it is our default. If you are on Jenkins and it works, we will make Jenkins better before suggesting a migration. We only recommend replacing a tool when the cost of keeping it is demonstrably higher than the cost of moving.
Least-privilege, time-boxed access through your own identity provider, with every action auditable. We sign NDAs and data processing agreements as standard, and our engineers can work under your device and background-check policies where required.
We baseline the four DORA metrics — deployment frequency, lead time for changes, change failure rate and time to restore — plus cloud spend and SLO attainment, at the start of the engagement, and report against them every sprint.
Send us a note and a senior engineer — not a salesperson — will reply within one business day. If it is easier, book a 30-minute call and bring your worst pipeline.
We review your pipelines, infrastructure, security posture and cloud spend, then hand you a written report with prioritised fixes — whether or not you work with us afterwards.