Cloud · DevOps · Platform Engineering
Build infrastructure your engineering team can trust.
Cloud, DevOps and platform engineering for teams that need faster delivery, stronger reliability and less operational drag. Senior-engineer-led, from first assessment to production operations.
The delivery pipeline, end to end
Commit. Code lands on a branch.
Built on hands-on engineering experience across
Senior-engineer-led delivery
- AWS
- GCP
- Azure
- Kubernetes
- Terraform
- Docker
- GitHub Actions
- GitLab
- Jenkins
- Prometheus
- Grafana
Your infrastructure should remove friction, not create it.
These are the patterns we see most often when we start working with an engineering team. If more than one sounds familiar, that’s usually where to start.
Deployments depend on one person
If shipping requires a specific engineer to be online, you don't have a deployment process — you have a single point of failure.
Infrastructure changes are manual
Console clicks and SSH sessions aren't documented, aren't reviewable, and aren't repeatable when something goes wrong.
Cloud spend grows without clear ownership
Nobody can explain this month's bill, so nobody can control next month's — cost becomes a finance problem instead of an engineering one.
Kubernetes gets harder to operate as you scale
What worked for one team and one service starts breaking down once ten teams and fifty services depend on the same cluster.
Monitoring tells you something is broken, not why
Dashboards and alerts pile up, but at 2am they still can't answer the one question that matters: what actually changed.
Security arrives too late in the delivery lifecycle
A review right before release either gets skipped under deadline pressure, or blocks a release that should have shipped days ago.
From first assessment to production operations.
Eight capability areas, each delivered by engineers who build the thing themselves — not a scoped-out plan handed to someone else.
Start here
DevOps Consulting
An honest read on how your team ships software today, and a practical roadmap to ship faster with fewer surprises.
Typical deliverables
- DevOps maturity assessment report
- Toolchain and workflow audit
- Prioritized improvement roadmap
- Implemented changes with documentation
Cloud & Infrastructure
Cloud foundations — networking, identity, compute and data — built as code, designed to be understood, and sized for what you actually run.
CI/CD & Release Engineering
Pipelines that build, test and ship the same way every time — with rollback that actually works when you need it.
Kubernetes & Platform Engineering
Kubernetes platforms designed for the team that has to run them — with self-service golden paths instead of ticket queues.
DevSecOps
Security checks built into the pipeline, so problems get caught while they're cheap to fix — not after release.
Observability & SRE
Metrics, logs and traces that answer 'why', with SLOs that tell you when it actually matters — not dashboards nobody opens.
FinOps
Cloud spend engineering teams can see, understand and actually control — not a monthly surprise on a finance dashboard.
AI / ML Infrastructure
EmergingInfrastructure for serving and operating models in production — treated with the same engineering discipline as any other production system.
See the system, not just the service.
Every engagement touches a real system with real failure modes. Open a stage below to see what it is, where it typically breaks, and how we approach fixing it.
What it is
Engineers writing, reviewing and merging code across one or more repositories.
Common failure modes
- – Local environments drift from production
- – Long-lived branches cause painful merges
- – No shared definition of 'done' before merge
How we improve it
- – Standardize local and CI environments with containers
- – Introduce trunk-based workflows where they fit the team
- – Codify review and merge checks the team already agrees on
Diagnose. Design. Build. Enable.
The same four phases, regardless of which service you start with — because the sequence matters more than the specific tooling.
Diagnose
- Input
- Access to your repositories, pipelines and a conversation with your engineers.
- Work
- We review what exists — infrastructure, pipelines, monitoring, incident history — and talk to the people who operate it daily.
- Deliverable
- A clear, specific picture of what's actually slowing you down.
Design
- Input
- The diagnosis, plus your constraints — team size, budget, timeline, risk tolerance.
- Work
- We design an architecture and roadmap matched to your team's actual scale, not a generic best-practice template.
- Deliverable
- A written architecture and implementation plan you can review line by line.
Build
- Input
- An agreed design and priority order.
- Work
- We implement infrastructure, pipelines and tooling as versioned code, working alongside your engineers where useful.
- Deliverable
- Working infrastructure and pipelines, delivered incrementally and reviewed as we go.
Enable
- Input
- Delivered infrastructure and a team ready to take ownership.
- Work
- We document decisions, run knowledge-transfer sessions, and make sure your team can operate and extend what we built.
- Deliverable
- Documentation, runbooks, and a team that doesn't need us for routine changes.
Engineering Labs.
We don’t have public client case studies yet. Instead of filling that gap with vague claims, we publish reference implementations that show exactly how we think and build.
Production-ready AWS foundation
A multi-account AWS landing zone with sane networking, IAM boundaries and guardrails from the first commit.
Terraform multi-environment architecture
A Terraform module structure that supports dev, staging and production without duplicated code or state file chaos.
Kubernetes platform baseline
A baseline EKS platform with namespace-per-team isolation, autoscaling and resource governance configured from day one.
About
Built by engineers who prefer systems that work.
The DevOps Company is founder-led, built on 7+ years of hands-on engineering work across AWS, GCP and Azure — Terraform, Kubernetes, Docker, CI/CD, observability and security tooling. We’re early-stage, deliberately: a small, senior team rather than a large one, so the person designing your infrastructure is the same person who builds it.
We work in code, not slideware — infrastructure as code, documented decisions, and knowledge transfer built into every engagement so your team owns what we build together.
More about how we work- Experience
- 7+ yrs
- hands-on DevOps engineering
- Structure
- Founder-led
- small, senior team
- Clouds
- AWS / GCP / Azure
- hands-on across all three
- Approach
- Code-first
- infrastructure as code, always
How we engineer.
Automate repetitive work
If a human does it the same way twice, it should be a script, a pipeline stage, or a piece of infrastructure code.
Infrastructure as code by default
Anything that can't be recreated from version control isn't infrastructure — it's a liability with a hostname.
Security from the beginning
Scanning, secrets management and access control belong in the pipeline from day one, not bolted on before an audit.
Design for failure
Servers die, regions go down, dependencies fail. Systems should assume that and recover, not be surprised by it.
Observe what matters
More dashboards isn't more insight. We instrument for the questions a team actually needs answered during an incident.
Optimize for maintainability
Clever infrastructure that only one person understands is a future outage. Boring and documented beats clever and fragile.
Document decisions
Not just what the system does, but why it was built that way — so the next engineer doesn't have to guess.
Leave the team stronger
An engagement that ends with a black box nobody understands hasn't succeeded, regardless of how it looks on delivery day.
Technology we use, hands-on.
This reflects direct engineering experience, not vendor partnership or certification status.
Cloud
- AWS
- GCP
- Azure
Infrastructure
- Terraform
- Docker
- Kubernetes
CI/CD
- GitHub Actions
- GitLab CI/CD
- Jenkins
Platform
- Argo CD
- Helm
- Backstage
Observability
- Prometheus
- Grafana
- OpenTelemetry
- ELK / OpenSearch
Security
- Trivy
- HashiCorp Vault
- OPA / Conftest
Data
- PostgreSQL
- Redis
Engineering notes.
Technical articles and architecture guides — written from doing the work, not from a content calendar.
How to build a reliable multi-environment cloud foundation
Dev, staging and production that actually behave the same way. Most of the reliability problem is solved before a single service is deployed.
Designing a production-ready Kubernetes platform
Kubernetes is easy to start and hard to operate well. The design decisions that determine which one you end up with.
GitOps vs traditional CI/CD: choosing based on operating model
GitOps isn't strictly better than a traditional push-based pipeline. It's a different tradeoff, and the right choice depends on how your team actually operates.
Tell us what you’re trying to ship.
Not sure where to start? Take the ten-question DevOps assessment for an honest read on your delivery platform, or go straight to a conversation with an engineer.