DevOps
Ship Faster. Break Less. Sleep Better.
Slow deployments, flaky pipelines, and infrastructure that only your most senior engineer understands - these aren't just technical problems. We help engineering teams build DevOps practices and infrastructure that actually work at scale.
DevOps services for engineering teams that ship
We cover the full DevOps spectrum - infrastructure, automation, cloud, security, and reliability. Here's where we can help.
CI/CD Pipeline Design & Implementation
Automated build, test, and deployment pipelines using GitHub Actions, GitLab CI, Jenkins, or CircleCI. Faster releases, fewer manual errors, and consistent deployments across every environment.
→ Removes manual handoffs and deployment bottlenecks
Common Use Cases
Cloud Infrastructure Setup & Management
Provision, configure, and manage cloud environments on AWS, GCP, or Azure. Infrastructure as Code using Terraform and Pulumi so your environments are reproducible, version-controlled, and auditable.
→ Reproducible environments you can trust in production
Common Use Cases
Container Orchestration (Kubernetes)
Kubernetes cluster setup, configuration, scaling policies, and ongoing management. Helm chart development, namespace strategy, RBAC, and monitoring - for teams moving to containers or already running them.
→ Scales workloads reliably without hero operations
Common Use Cases
Cloud Cost Optimisation
Audit your existing cloud spend, identify waste, and implement rightsizing, reserved instance planning, spot instance strategies, and automated resource scheduling. Most clients recover 30–50% of cloud cost within the first quarter.
→ Cuts cloud waste without sacrificing performance
Common Use Cases
Infrastructure as Code (IaC)
Rewrite manual, undocumented infrastructure into version-controlled, repeatable Terraform or Pulumi code. Eliminates the 'only Dave knows how this works' problem and makes environment provisioning predictable.
→ Makes infrastructure repeatable and auditable
Common Use Cases
Site Reliability Engineering (SRE)
Define and implement SLOs, SLIs, and error budgets. Build runbooks, on-call rotations, incident response playbooks, and post-mortem processes that actually improve reliability over time.
→ Improves reliability with measurable targets
Common Use Cases
What makes working with us different
Most DevOps consultants will set up a pipeline and disappear. Here's what we do differently - and why it actually matters for your team long-term.
We don't build things your team can't maintain
Every tool, every abstraction, and every automation we introduce is chosen with your team's skill set in mind. If your engineers don't know Kubernetes deeply, we either train them or choose a managed service that doesn't require them to. No hero infrastructure.
We fix the root cause, not just the symptom
If deployments are slow, there's usually a reason beyond 'the pipeline is slow'. We look at your branching strategy, testing approach, environment parity, and deployment frequency together. Fast pipelines built on bad practices just break faster.
Documentation is part of the deliverable
Every system we build comes with runbooks, architecture diagrams, and handover documentation written for the people who will maintain it - not just the people who built it. Your team shouldn't need us to explain what we built.
We speak both engineering and business
We can talk to your CTOs and VPs about reliability targets, release frequency, and compliance requirements - and then turn around and work directly with your engineers in GitHub pull requests. No translation layer required.
Security isn't bolted on at the end
Security controls, secrets management, network policies, and compliance checks are built into the pipeline from day one - not added as an afterthought when an audit finds a gap. This is especially important for regulated industries.
We optimise for your costs, not your complexity
More tooling is not always better. We recommend the simplest infrastructure that reliably meets your requirements, and we actively push back on over-engineering. Complexity is a hidden cost that compounds over time.
How we approach a DevOps engagement
Whether we're starting from scratch or improving an existing setup, we follow a structured process that keeps your team informed and in control throughout.
Typical assessment timeline
for a full infrastructure and pipeline audit
Infrastructure & Pipeline Audit
We start by understanding what you have. We review your existing CI/CD setup, infrastructure configuration, cloud spend, deployment process, incident history, and monitoring coverage. We map what's working, what's broken, and what's missing.
- Audit report
- Prioritised recommendations
- Risk register
Architecture Planning
Based on the audit, we design the target state - the infrastructure, tooling, and processes you need. We present options at different investment levels so you can make an informed decision, not just accept whatever we recommend.
- Architecture diagrams
- Tooling recommendations
- Implementation roadmap
Implementation (Phased)
We implement in prioritised phases, typically starting with the highest-pain or highest-risk areas. Every change is tested, peer-reviewed, and deployed incrementally. We don't do big bang cutovers unless there's no alternative.
- Infrastructure as Code
- CI/CD pipelines
- Deployed changes per roadmap
Observability & Alerting Setup
Before we hand anything over, we ensure there's comprehensive monitoring, alerting, and logging in place. If something breaks at 2am, your team should know about it before your customers do - and have the context to fix it quickly.
- Monitoring dashboards
- Alert policies
- On-call runbooks
Knowledge Transfer & Documentation
We document everything - not in jargon-heavy tech specs, but in practical runbooks and architecture guides your team can follow under pressure. We run handover sessions, pair with your engineers, and don't consider a project complete until your team is confident.
- Runbooks
- Architecture docs
- Handover sessions
Ongoing Support & Optimisation
Infrastructure needs ongoing attention - cost optimisation, security patching, capacity planning, and tooling upgrades. We offer retainer-based ongoing support for teams that want a DevOps partner rather than a one-time project vendor.
- Monthly reviews
- Proactive optimisation
- Incident support
The tools we work with
We're not tied to a single vendor or toolchain. We recommend what fits your team, your scale, and your existing investment.
Cloud Platforms
AWS, GCP, Azure, DigitalOcean, and OVHcloud - chosen based on your workload, team familiarity, and compliance requirements.
CI/CD
GitHub Actions, GitLab CI, Jenkins, CircleCI, Bitbucket Pipelines, ArgoCD, and Flux for reliable automated delivery.
Containers & Orchestration
Docker, Kubernetes on EKS/GKE/AKS, Helm, Kustomize, Rancher, and OpenShift for containerised workloads at scale.
Infrastructure as Code
Terraform, Pulumi, AWS CDK, Ansible, and CloudFormation for version-controlled, repeatable infrastructure.
Observability
Prometheus, Grafana, Datadog, New Relic, ELK, Jaeger, and OpenTelemetry for end-to-end visibility.
Security & Secrets
HashiCorp Vault, AWS Secrets Manager, Trivy, Snyk, OPA, Falco, and Checkov for security built into delivery.
What better DevOps actually delivers for your business
Engineering teams invest in DevOps because of the downstream business impact - not because CI/CD is interesting. Here's what that impact looks like in practice.
Faster time to market
Automated pipelines remove manual handoffs, approval bottlenecks, and error-prone deployment steps. Teams that deploy once a week start deploying daily. Teams that deploy daily start deploying on demand.
Fewer production incidents
Proper testing gates, environment parity, progressive delivery (canary and blue/green deployments), and observability catch problems before they reach users - and cut mean time to recovery when they do.
Lower infrastructure costs
Cloud environments without governance tend to accumulate waste. Rightsized instances, auto-scaling policies, reserved capacity planning, and scheduled shutdowns of non-production environments typically reduce cloud spend by 30–50%.
Reduced engineering toil
When deployments are automated and infrastructure is self-service, your senior engineers stop spending half their time on operational work and start spending it on the product. That's a significant productivity gain.
Faster, safer onboarding
Reproducible infrastructure as code means new developers can get a fully working local environment and be deploying to staging within hours - not days of manual setup and Slack messages asking 'how do I get this to work'.
Audit-ready compliance
Automated compliance checks, immutable audit trails, and policy-as-code mean you're not scrambling when SOC 2, ISO 27001, or a customer security questionnaire asks how your deployments are controlled.
Frequently Asked Questions
Let's talk about what's slowing your team down
Tell us where the friction is - deployments, infrastructure, cloud costs, reliability, security - and we'll have a direct conversation about what it would take to fix it. No generic pitch, no long sales process.
Typically responds within one business day