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SolutionsDevOps & release engineering

Make every release small and reversible.

We build delivery pipelines on AWS that test every change, release it to a slice of traffic first and roll it back automatically when an alarm fires. Your team owns the code.

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Canary release

Definition

What is release engineering?

Release engineering is the discipline of getting code to production in small, tested, reversible steps. Pipelines build and test every change, infrastructure is defined as code, and releases go out gradually, so a faulty change reaches a few users and rolls back on its own.

Credentials

AWS Services Partner
Advanced Tier
AWS service deliveries
8
AWS certifications
25+
AWS certified
Every engineer

Regulated delivery

Can change control keep pace?

Regulated teams need approvals and evidence. We keep both and move them into the pipeline, so every change carries its own review, tests and audit trail.

How a change reaches production

Release by calendar

  • Approved in a weekly meeting, evidence in emailManual
  • Many changes bundled into one release windowBatched
  • Environments configured by hand drift apartDrift
  • Rollback is a runbook and a long eveningBy hand

Change control as code

  • Review, checks and test results live in the pull requestAudit trail
  • Small changes ship on their own, behind a canaryLow risk
  • Every environment built from the same codeTerraform
  • An alarm rolls a faulty release backAutomatic

What your engineers see

What does a safe release look like?

Three artefacts from a working pipeline: the reviewed diff, the release, and the metrics that prove it works.

Infrastructure as code

Every change is a reviewed diff.

Terraform defines networks, compute and access. Policy checks run on every plan, so a risky change stops at review.

network/admin-access.tfTerraform · HCL+1−1
resource "aws_security_group_rule" "admin" {  type        = "ingress"  from_port   = 22  to_port     = 22Removed:   cidr_blocks = ["0.0.0.0/0"]Added:   cidr_blocks = [var.office_cidr]reviewed}
Policy checkopa · deny-open-admin-portsFAIL · 1 denied→PASS · 0 denied
Release engineering

Canary first, then everyone.

A new version takes a small share of traffic. If an alarm on latency or errors fires, it rolls back on its own.

git push origin mainPASSbuild     v2.14.0PASStests     412 passedPASSpolicy    0 deniedPASScanary    10% -> v2.14.0# watching CloudWatch alarmsFAILalarm     p99 820 ms > 400 msWARNrollback  100% -> v2.13.2PASSstable    errors at baseline
Observability

Measured by DORA metrics.

Deployment frequency, lead time, change failure rate and time to restore, from your pipeline and OpenTelemetry traces.

Delivery metrics · DORA · 4 teams · last 30 daysIllustrative data

Deployments

62

per month

Change failure rate

4%

of deployments

Time to restore

12 min

median

Illustrative numbers, not a client result.

Your stack

Works with the tools you run.

AWS and the open tooling your engineers already know, handed over with the documentation to run it.

Delivery platform · integrations

Your delivery pipeline connects to GitHub Actions, Terraform, Open Policy Agent, OpenTelemetry, Amazon ECS, Amazon EKS, Amazon CloudWatch, AWS Lambda.

How the work runs

How do we get you there?

One service proves the path, then the templates let every other team follow it.

  1. Step 01

    Assess.

    We map how code reaches production today and where it waits.

  2. Step 02

    Build the path.

    A first service ships through the new pipeline, end to end.

  3. Step 03

    Scale.

    Templates and guardrails let other teams adopt it on their own.

  4. Step 04

    Hand over.

    Your team runs it. We stay on as you choose: project-based, team augmentation or managed services.

FAQ

Common questions.

Yes. We start from the tools you already run and change them only where there is a clear reason, agreed with your team.

Approvals become required reviews and automated checks in the pull request. Every change keeps its reviewer, test results and deployment record: the evidence an auditor asks for under DORA.

A new version first serves a small share of traffic. If the alarms on latency and errors stay healthy it is promoted; if not, traffic returns to the previous version automatically.

Three ways: a project-based engagement with a defined scope, team augmentation with our engineers in your team, or managed services where we run and improve the platform with you.

No. Many workloads are better served by Amazon ECS or AWS Lambda. We choose the runtime for the workload and your team's skills.

Next step

Make your next release a quiet one.

Bring one service and its pipeline. We review how it reaches production and show you where it waits.

Book a delivery review