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Cloud & DevOps Engineering

Cloud platforms and delivery pipelines that stay reliable as you grow

Architecture, migration, infrastructure as code, Kubernetes, CI/CD and site reliability engineering across AWS, Microsoft Azure and Google Cloud — one practice, from assessment to ongoing optimization.

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What we cover

  • Cloud architecture and migration
  • Infrastructure as code with Terraform
  • Docker and Kubernetes
  • CI/CD and GitOps
  • Observability and SRE
  • Cost optimization and disaster recovery

Outcome: Repeatable releases, observable systems and cloud spend you can explain.

How Cloud & DevOps engagements flow

  1. Code
  2. Build
  3. Test
  4. Security
  5. Deploy
  6. Observe

Core Engineering

Infrastructure your team can change with confidence

Cloud platforms rarely fail all at once. They drift: manual changes nobody can reproduce, pipelines only one person can fix, alerts that fire too often or not at all, and bills that are hard to explain.

Our cloud and DevOps engineers treat infrastructure as software. Environments are defined in code, changes ship through reviewed pipelines, systems are instrumented from the start, and reliability targets are agreed rather than assumed.

We work across AWS, Microsoft Azure and Google Cloud, and choose services and tools that fit your workloads, your team and your budget.

Problems we solve

Sound familiar?

  • Fragile, hand-built infrastructure

    Environments configured by hand that nobody can rebuild with confidence.

  • Slow, risky releases

    Deployments that need a change window, a checklist and a specialist.

  • Limited visibility

    Problems found by customers before they show up on a dashboard.

  • Rising cloud costs

    Spend that grows faster than usage, with no clear owner for each line item.

Capabilities

What we deliver

We scope each engagement to the problem — not every project needs every capability.

Architecture & migration

The right foundation on the right cloud

Designs and migrations planned workload by workload.

  • Assessment and architecture. A review of each workload and a target architecture on AWS, Azure or Google Cloud.
  • Migration and modernization. Rehost, replatform or refactor per workload, with rehearsed cutovers and rollback plans.
  • Cloud networking and security. Network design, private connectivity, identity, encryption and security baselines.
  • High availability and disaster recovery. Multi-zone and multi-region designs, with backup and restore procedures tested against agreed recovery targets.

Infrastructure as code & containers

Environments defined in code

Every environment reproducible, reviewed and versioned.

  • Terraform. Modular, reviewed Terraform for every environment, with remote state and policy checks.
  • Docker and Kubernetes. Containerized workloads on EKS, AKS or GKE, designed for security, autoscaling and upgrades.
  • Infrastructure provisioning. Self-service, repeatable environments for development, testing and production.

Delivery automation

Releases that are routine, not risky

Pipelines that test, scan and deploy every change the same way.

  • CI/CD pipelines. GitHub Actions, GitLab CI, Azure DevOps or Jenkins, with automated tests and security scans.
  • GitOps and deployment automation. Declarative deployments with Argo CD or Flux, so every change is versioned and reversible.
  • Progressive delivery. Blue-green and canary releases with automatic rollback when health checks fail.

Reliability & operations

Systems you can see into and rely on

Reliability engineered in, and costs kept in view.

  • Monitoring, logging and observability. Metrics, logs and traces with Prometheus, Grafana, OpenTelemetry or cloud-native tools, and alerts people can act on.
  • Site reliability engineering. Service-level objectives, error budgets, runbooks and blameless incident reviews.
  • Cloud cost optimization. Right-sizing, commitment planning, storage tiering and waste cleanup, with cost visible per team or product.
  • Managed cloud and DevOps support. Ongoing monitoring and engineering support, with coverage and response times set in each agreement.

Use cases

Where it makes a difference

Typical scenarios, to show the kind of work involved.

  • Data center to cloud

    Moving applications from on-premises servers to AWS, Azure or Google Cloud in planned waves.

  • A platform for a growing product

    Kubernetes, GitOps and observability that let several teams deploy independently and safely.

  • Release automation

    Replacing manual deployments with pipelines that test, scan and roll back automatically.

  • Reliability program

    Defining service-level objectives, improving alerting and building the runbooks on-call engineers need.

  • Cloud cost review

    Finding and removing waste, and putting cost ownership and reporting in place.

How we deliver

From first conversation to production

  1. Assess

    Review the current platform, workloads, risks and costs.

  2. Architect

    Design the target platform and a phased roadmap.

  3. Implement

    Build the infrastructure as code, pipelines and observability.

  4. Migrate & deploy

    Move workloads in rehearsed waves with rollback plans.

  5. Operate & optimize

    Monitor, tune reliability and cost, and support your team.

Technology

Tools we work with

Chosen to fit your environment and team, not a preferred vendor.

Cloud

  • AWS
  • Microsoft Azure
  • Google Cloud

Infrastructure as code

  • Terraform
  • Helm

Containers

  • Docker
  • Kubernetes
  • Amazon EKS
  • Azure AKS
  • Google GKE

CI/CD & GitOps

  • GitHub Actions
  • GitLab CI
  • Azure DevOps
  • Jenkins
  • Argo CD
  • Flux

Observability

  • Prometheus
  • Grafana
  • OpenTelemetry
  • CloudWatch
  • Azure Monitor

Built for production

Security, scale and operations

  • Security

    Least-privilege access, managed secrets, encrypted data and policy checks in the pipeline.

  • Governance

    Every infrastructure change goes through code review, with tagging and guardrails that keep accounts consistent.

  • Reliability

    Recovery objectives are agreed and tested, not assumed, and alerting is tied to user-facing service levels.

  • Operational ownership

    Runbooks, documentation and training so your team can run the platform, with or without our support.

United States & Canada

Cloud and DevOps engineering across North America

We design, migrate and operate cloud platforms for organizations in the United States and Canada, in the regions your workloads and regulations call for.

  • US headquarters in Troy, Michigan
  • Delivery and on-call support agreed in North American time zones
  • US and Canadian regions on AWS, Azure and Google Cloud
  • Infrastructure as code your own team owns

Engagement options

Work with us the way that fits

We'll recommend a model after the first conversation.

  • Fixed-price

    A defined scope and budget for a clear deliverable — ideal for builds, migrations and assessments.

  • Time & materials

    Flexible capacity, invoiced monthly, for work where the scope will evolve as you learn.

  • Dedicated team

    A full-time pod embedded with your team for long-running products and platforms.

  • Outcome-based

    Fees tied to the KPIs we agree up front, where the result can be measured cleanly.

Client work

Related case studies

  • Cloud · B2B technology

    DevOps Container Market

    Automated delivery pipelines, reworked AWS infrastructure and rebuilt a technical website so it could rank for high-intent buyer searches.

FAQ

Common questions

Something else? Ask our team

Which cloud should we choose?

It depends on your workloads, existing tools, skills and commercial agreements. We assess each workload and recommend a provider — or a combination — with the trade-offs spelled out.

Can you work alongside our existing team?

Yes. We can lead a project, pair with your engineers, or take on a defined part of the platform, and we document everything so your team keeps full ownership.

Can you reduce our cloud bill?

Usually there is room to. A cost review covers right-sizing, commitment plans, storage tiers and unused resources, and we only recommend changes that keep performance and reliability intact.

Do you offer ongoing support?

Yes. Ongoing support covers monitoring, incident response, patching and regular reliability and cost reviews. Coverage hours and response times are agreed for each engagement.

How long does a migration take?

It depends on the number of workloads, their dependencies and how much downtime is acceptable. After an assessment we provide a phased plan with timelines for each group of workloads.

Do you work with companies in Canada?

Yes. We work with organizations across the United States and Canada. Our headquarters is in Troy, Michigan, delivery runs in North American business hours, and our Hyderabad team extends engineering capacity. We design for Canadian regions such as AWS ca-central-1, Azure Canada Central and Google Cloud Montréal and Toronto when data residency matters.

Resources

Related reading

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Related services

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