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CI/CD Pipeline Setup

The CI/CD pipeline setup company for teams releasing on demand

BinaryBrill is a CI/CD pipeline setup company building the automated route from a merged pull request to production — or rescuing one that's become slow and untrusted. In-house senior engineers deliver DevOps automation services that turn deploying from a scheduled event into something that happens on every merge.

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A senior engineer replies within 24 hours — not a sales rep.

Why releasing still feels like an event, not a habit

A merged change still waits days for a release train

The code is done on a Tuesday and reaches users on the fortnightly release date, if nothing bumps it. Lead time from first commit to live traffic is the number that exposes this, and almost nobody measures it — so the wait gets treated as normal rather than as the thing to fix.

Every environment builds the artefact fresh, slightly differently

Staging builds from one set of dependency versions, production builds from whatever resolved on release day. When something behaves differently in production than it did in staging, nobody can be entirely sure it's the same build — because it never was.

The pipeline is red so often that red stopped meaning anything

Flaky tests get re-run until they pass, or ignored because they usually fail for no reason anyone's found. Once the signal is unreliable, engineers merge past it rather than consulting it — which means you're paying for a test suite and getting none of the protection.

A bad deploy means a manual scramble, not an automatic rollback

There's no rehearsed mechanism for reversing a release under real conditions. When error rates spike after a deploy, the response is a hurried revert commit and a rebuild rather than a switch flipped in seconds — turning a ten-minute problem into an hour-long incident.

What a proper CI/CD pipeline setup actually delivers

The goal is a pipeline trusted enough to be the only route to production — fast enough that engineers don't work around it, and safe enough that a bad release is caught and reversed automatically rather than by whoever's on call.

One artefact, built once, promoted everywhere

The same versioned build moves through every environment from staging to production, rather than being rebuilt per stage against whatever dependencies happen to resolve that day. What you tested is provably what ships.

Feedback inside a coffee break, not a lunch hour

Build stages run in parallel and cache aggressively, so a pull request gets a result fast enough that engineers wait for it instead of context-switching away and losing the thread.

Progressive delivery with an automatic way back

Canary or blue-green rollout behind a routing layer, with rollback triggered automatically by error rate or latency rather than waiting for a human to notice and decide. Recovery becomes a rehearsed mechanism, not an improvisation under pressure.

Security checks as pipeline gates, not a separate review

Dependency scanning, secrets detection and container image checks run inline on every build. A vulnerable dependency or a leaked credential is caught before merge, not discovered in an audit months later.

What this covers

Pick the piece you need, or bring us the problem and we'll tell you which applies.

CI/CD Pipeline Architecture & Setup

Designing and building the pipeline from scratch for a team with no automated release path yet — the core offering behind any CI/CD pipeline setup company engagement.

Build once and promote the same artefact through every environment, with versioned releases
Pipeline stages mapped to your actual environments rather than a generic template
Trigger rules, branch strategy and environment promotion agreed with your team upfront
Delivered directly into your version control and CI/CD platform, not a separate tool

Build Performance & Caching Optimisation

Rescuing a pipeline that already exists but has become slow enough that engineers avoid running it. Parallelisation and caching bring feedback on a pull request down to minutes.

Parallelised and cached build stages to bring feedback inside a coffee break
Dependency caching tuned per language and package manager, not a generic cache key
Flaky test quarantine so a red build means something again
Build time tracked as a metric, with regressions flagged rather than tolerated

Progressive Delivery & Continuous Deployment

Canary and blue-green rollout patterns with automated rollback, delivering the continuous deployment consulting piece that turns a release into a low-risk, reversible event.

Progressive delivery — canary or blue-green — with automated rollback triggered by error rate or latency
Feature flags for changes that need to ship separately from the deploy itself
Expand-then-contract database migrations so schema changes stay reversible
Rollback rehearsed in a live environment before it's ever needed for real

Pipeline Security & Compliance Gates

Dependency scanning, secrets detection and container image checks wired in as automated gates, so security review happens on every build rather than as a periodic audit.

Dependency scanning, secrets detection and container image checks running as pipeline gates
Signed build artefacts and enforced approval rules recorded against every deployment
Vulnerability findings triaged with clear pass/fail thresholds, not just a report nobody reads
Evidence generated automatically to support audit and compliance requirements

CI/CD Migration & Modernisation

Moving a team off Jenkins scripts, a hand-rolled deploy process, or a CI platform that no longer fits, onto a pipeline that's maintainable and trusted.

Migration from legacy CI tooling with no gap in release capability during the switch
Consolidation of multiple inconsistent pipelines into one maintained pattern
Knowledge transfer so the new pipeline isn't a black box to your own engineers
A phased cutover so the old and new pipelines run in parallel until confidence is proven

The stack we build on

Chosen to fit the problem — not because it's what we used last time.

CI/CD platforms

GitHub Actions
GitLab CI
Jenkins
Azure DevOps Pipelines
CircleCI
Argo CD

Build & artefact management

Docker
Buildkit
Amazon ECR
Azure Container Registry
Nexus
JFrog Artifactory

Deployment & delivery

Kubernetes
Helm
Amazon EKS
Azure Kubernetes Service
Flagger
AWS CodeDeploy

Security & quality gates

Trivy
Snyk
Gitleaks
SonarQube
OWASP Dependency-Check
HashiCorp Vault

How we'll work together

Every stage ends with something in your hands — not a status update.

01
Baseline the current pipeline
We measure deploy frequency, lead time and where a typical change actually waits — usually a different stage than the team assumes. If a pipeline already exists, we audit it for flaky tests, rebuild duplication and manual gates before touching anything.
You get: A baseline report on deploy frequency and lead time, plus a ranked list of the pipeline's biggest constraints.
02
Design the build-once, promote-everywhere pipeline
Pipeline stages, artefact versioning, environment promotion rules and required gates get designed and agreed before implementation starts, so your team knows what's landing and why.
You get: A pipeline architecture document covering stages, gates, environments and rollback triggers.
03
Build it in your repositories
The pipeline is implemented directly in your CI/CD platform and version control, with caching, parallelisation and security scanning wired in as gates rather than a bolted-on afterthought.
You get: A working pipeline in your repositories covering build, test, scan and deploy, triggered automatically on merge.
04
Prove the rollback, then hand over
We deliberately trigger a rollback in a controlled window with your team watching, so the first genuine use isn't the first attempt. Documentation and a working session follow.
You get: A rollback exercised and recorded, pipeline documentation, and a re-measurement of lead time against the baseline.

Where we've applied this

SaaS platforms

Multiple deploys a day without customer-visible downtime, with feature flags letting a release reach one tenant before it reaches everyone.

Financial services

Signed build artefacts and enforced separation of duties recorded automatically inside the pipeline, giving audit evidence that can't be produced after the fact.

Retail & e-commerce

Pipelines trusted enough to keep shipping through a trading peak, rather than freezing releases for the two months that matter most.

Healthcare

Pipelines that generate validation evidence as a by-product of every build, supporting a regulated release record without a separate paperwork exercise.

Logistics

Fast feedback loops on services handling tracking and dispatch, where a broken deploy needs catching before it reaches drivers in the field.

Professional services

A single reliable release path replacing several inconsistent, manually run deploy scripts inherited across different client engagements.

Questions buyers ask us

Do we need this if we already release every couple of weeks and it mostly works?

It depends what 'mostly works' is costing you. If nobody dreads release day, deploys don't need a change advisory meeting, and lead time from commit to production is something you could state off the top of your head, you may not need this yet. If a release still involves a checklist, a call and someone's evening, that's the gap a CI/CD pipeline closes — and it tends to be worth more than teams expect once they measure the wait.

Should we build this ourselves in-house or bring in a CI/CD pipeline setup company?

If you have engineers who've built production pipelines before and the time to dedicate to it alongside feature work, doing it in-house is entirely viable. Most teams don't have both at once — the pipeline work keeps losing to the next deadline, or gets built by whoever had a free afternoon and never gets revisited. Bringing in dedicated help gets it done properly the first time, and everything lands in your own repositories so there's no lock-in either way.

What does an engagement like this cost, and how long does it take?

Cost follows the number of services and environments in scope, how much of the current process is manual, and how healthy your test suite already is. A single application getting a full pipeline is typically a short piece of work, measured in weeks. Multiple services with shared environments and compliance requirements is more of a programme. We'd rather scope this properly in a paid assessment than guess at it on a first call.

Do our secrets and credentials pass through your systems?

No. Secrets are stored in your own secrets manager or your CI platform's native secret store, injected at build or deploy time, and never committed to the repository or routed through anything we operate. Pipeline configuration lives in your version control, and access to production credentials stays governed by your existing access controls.

When is a full CI/CD rebuild the wrong call?

When your current process, however manual, is genuinely infrequent and low-risk enough that automating it wouldn't pay for itself — a handful of releases a year for an internal tool, say. We'll say so during the baseline assessment rather than recommending a rebuild regardless. It's also the wrong first step if your environments themselves are inconsistent; in that case, infrastructure as code usually needs to come first so there's something dependable for the pipeline to deploy into.

How is this different from your infrastructure as code work?

CI/CD is the automated path a change takes from a merge to production — build, test, deploy. Infrastructure as code is how the environments that pipeline deploys into get defined and versioned. They're closely related and often bought together, but a pipeline can exist without IaC, and IaC delivers value even for a team not ready to automate deployment yet. If your environments are hand-built and inconsistent, that's usually worth fixing first.

Will this work alongside our existing engineers, or take over their workflow?

Alongside, and that's the arrangement that lasts. We pair with your developers, raise pull requests they review, and document decisions as we go. Where a team has no spare capacity, we can take the pipeline rebuild on as a dedicated workstream while your team keeps shipping features, then hand it back with the reasoning written down.

Who builds the pipeline, and where are they based?

Our own in-house engineers in Sahibzada Ajit Singh Nagar, Punjab — 45+ of them, with over a decade of combined delivery experience, delivering for clients in 15+ countries. Nothing is subcontracted. You own the pipeline configuration, the repository and the credentials from day one, and a senior engineer replies to any question within 24 hours.

Tell us how your last release actually went

Send us a note on your current build and deploy process, including the parts that are still manual. A senior engineer replies within 24 hours with a read on where the pipeline would save you the most time.

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