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Cloud & DevOps

Our DevOps consulting services are for product teams whose releases are slow, risky, or dependent on one person. We build CI/CD pipelines that test and deploy every change, infrastructure as code you can rebuild from a repository, Kubernetes where it earns its complexity, and monitoring that tells you about a fault before your customers do.

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When deploys feel risky, teams ship less, and every release gets riskier

Most engineering teams don't have a speed problem. They have a confidence problem. Releases wait for the one person who knows the deploy script, environments drift until staging proves nothing, and the first sign of an outage is a customer email. So changes get batched, batches get bigger, and each release becomes more dangerous than the last.

Our DevOps engineers break that cycle. Every change goes through an automated pipeline that tests, builds, and deploys it the same way every time. Infrastructure is defined in code and reviewed like any other change. Monitoring tells the right person what broke and where, so shipping on a Tuesday afternoon stops being an act of courage.

Every merge

Tested, built, and deployable by the pipeline

In code

Every environment, rebuildable from a repository

One click

Rollback for any release that misbehaves

SLOs

Reliability targets agreed with the business, then alerted on

What's included

CI/CD pipelines, Kubernetes, and infrastructure as code for product teams that want to ship often without dreading the deploy.

CI/CD pipeline design and deployment automation
Infrastructure as code with Terraform and Pulumi
Containers and Kubernetes orchestration
Observability: logs, metrics, tracing, and alerts
Site reliability engineering, SLOs, and on-call runbooks
DevSecOps: secrets, scanning, and access control

Four practices behind teams that deploy often and sleep well

These are established ideas from DevOps and site reliability engineering. The skill is putting them in place in the order that removes the most pain first, without stopping product work.

01

Automate the path to production

One pipeline from commit to production, with tests, security scans, and approvals built in. No manual steps, no special laptops, and no release checklist that lives in someone's head.

02

Infrastructure as code

Networks, clusters, databases, and permissions defined in Terraform or Pulumi and changed through pull requests, so environments match and a lost one can be rebuilt from the repository.

03

Small, reversible releases

Feature flags, canary releases, and fast rollbacks keep each change small and easy to undo. A bad release reaches a slice of users for minutes, not everyone for hours.

04

Observe, then alert

Logs, metrics, and traces through OpenTelemetry, dashboards built around user journeys, and alerts tied to service-level objectives, so on-call engineers are woken only for problems that matter.

DevOps services for faster, safer software delivery

Six areas we take on, as a focused project or as an embedded platform team alongside your developers. If you mainly need a cloud migration or account governance, our Cloud Services practice covers that.

CI/CD pipelines

Build, test, and deployment pipelines in GitHub Actions or the CI tool you already use, with caching and parallel tests so feedback arrives in minutes, not the better part of an hour.

  • Pipeline design and migration
  • Parallel tests and build caching
  • Automated deploys with approvals

Kubernetes & containers

Docker and Kubernetes when your scale justifies them, set up with Helm and Argo CD for GitOps deployments, autoscaling, and defaults your team can actually operate.

  • Cluster design and hardening
  • GitOps deployments with Argo CD
  • Autoscaling and resource tuning

Infrastructure as code

Terraform or Pulumi modules for every environment, with reviewed changes, drift detection, and secrets kept in Vault rather than in config files.

  • Reusable Terraform and Pulumi modules
  • Drift detection and policy checks
  • Secrets management with Vault

Observability & monitoring

Datadog, Grafana, or Prometheus with OpenTelemetry tracing, set up around the user journeys that matter, so you see a slowdown before customers report it.

  • Logs, metrics, and distributed tracing
  • Dashboards by user journey
  • Alert tuning to cut the noise

Site reliability engineering

Service-level objectives, error budgets, incident response, and blameless postmortems that turn outages into fixes, plus load tests that find limits before real traffic does.

  • SLOs and error budgets
  • Incident process and on-call runbooks
  • Load and failure testing

DevSecOps

Security built into the pipeline: dependency and container scanning, secret detection, least-privilege access, and audit trails that support SOC 2 and ISO 27001 evidence.

  • Dependency and image scanning
  • Least-privilege CI and cloud access
  • Audit trails for compliance evidence

Our DevOps consulting process, from assessment to a platform you own

Most teams feel faster, safer releases within the first month. We fix the biggest bottleneck first, so developers notice the difference before the larger changes land.

Stage 01

1–2 weeks

DevOps assessment

We measure how code reaches production today, using lead time, deploy frequency, change failure rate, and recovery time, then map the bottlenecks and agree a plan ordered by impact.

  • Delivery metrics baseline (DORA)
  • Pipeline and infrastructure review
  • Improvement roadmap ranked by impact
Stage 02

2–4 weeks

Pipeline & quick wins

The highest-impact fixes first, usually a reliable CI/CD pipeline, faster tests, and one-click rollback, delivered without pausing product work.

  • Automated CI/CD pipeline
  • Faster, parallel test runs
  • Rollback and release process
Stage 03

4–8 weeks

Platform & observability

Infrastructure moves into code, environments are standardized, and monitoring and alerting are built around service-level objectives agreed with the business.

  • Infrastructure as code for all environments
  • Observability stack and dashboards
  • SLOs, alerts, and on-call runbooks
Stage 04

Ongoing

Enablement & support

We train your engineers to own the platform and document everything, then step back or stay on as a part-time platform team with agreed response times.

  • Runbooks and platform documentation
  • Hands-on training for your team
  • Optional ongoing support agreement

What better DevOps changes for your team

Releases that are routine, frequent, and easy to roll back

Environments anyone can rebuild from code, with no hidden manual steps

Incidents spotted by monitoring before customers notice them

Developers spending their time on the product, not fighting the pipeline

What we build it with

The tools we reach for on Cloud & DevOps work, picked for the problem in front of us and for the team who inherits the code.

01

Clouds

Wherever the workload genuinely belongs

  • AWS
  • Google Cloud
  • Cloudflare
02

Orchestration

Scheduling, scaling and rollout

  • Kubernetes
  • Docker
  • Helm
  • Argo CD
03

Infrastructure as code

Environments you can rebuild from a repo

  • Terraform
  • Pulumi
  • Ansible
  • Vault
04

Observability and CI

Finding the fault before the customer does

  • Datadog
  • Grafana
  • Prometheus
  • OpenTelemetry
  • GitHub Actions

DevOps questions we hear most

  • Cloud & DevOps is about how your team ships software: CI/CD pipelines, infrastructure as code, Kubernetes, monitoring, and on-call. Cloud Services is about the cloud estate itself: migrating to AWS, Azure, or Google Cloud, landing zones, governance, cost control, and managed operations. Product teams that release often usually start with DevOps; organizations moving or consolidating workloads usually start with Cloud Services. Many engagements end up touching both.

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Let's build something that lasts

Tell us about your project and we'll get back to you within 12 hours with next steps.

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