Build
The DevOps Work We Do
What each type of work involves.
Services / Software Development
DevOps Services & Consulting
Service portfolio
Shipping More Often, Without Shipping More Breakages
We build and run the pipeline your software is released through: automated builds and tests, repeatable infrastructure, deployment, monitoring and rollback. The work is measured on four numbers. How often you deploy, how long a change takes to reach production, how often a release fails, and how fast you recover. AI assistants have increased how much change teams produce, which is usually what turns the pipeline into the constraint.
Build
CI/CD Pipelines
Automated build, test and deployment on every commit, in GitHub Actions, Azure DevOps, GitLab CI or Jenkins. Smaller releases more often, with a rollback that works when you need it.
Mobilise
Infrastructure As Code
Servers, networks and databases defined in Terraform or Bicep and version-controlled like application code. Environments rebuild identically instead of drifting apart, and every change is reviewed before it reaches production.
Experience
Containers And Kubernetes
Docker images, orchestration, autoscaling and GitOps deployment through Argo CD or Flux. We will also tell you when Kubernetes is more operational overhead than your workload justifies.
Connect
Monitoring And Observability
Metrics, logs and traces through OpenTelemetry, with dashboards and alerts tied to what users experience rather than to CPU graphs. You find out before your customers do.
Operate
Security In The Pipeline
Dependency and container scanning, secrets detection, and policy-as-code checks running on every build. Compliance evidence gets produced by the pipeline instead of assembled by hand before an audit.
Operate
Cloud Cost Control
Tagging, budgets, rightsizing and usage reporting, so spend maps to teams and environments. Most of the savings come from idle non-production resources and storage nobody owns.
Ways We Bring These Teams Together
The Engagement Models We Offer
Six ways to work with us.
Agile Pods
DevOps and QA engineers in two- to four-week sprints. Suits a defined piece of work, such as building a pipeline.
Product Development
A full-cycle team building the application and its delivery pipeline together, so deployment is not left until the end.
Dedicated Remote Centres
Long-term DevOps engineers working only on your platform. Webmyne handles recruitment, payroll, legal, and HR.
On-Demand Staffing
Specialists for a fixed period, such as an engineer to migrate builds off Jenkins.
Fixed Price
Scope and budget agreed before work starts. Suits a defined build, such as pipelines for a known set of services.
Support & Optimisation
Ongoing pipeline maintenance, on-call cover and cost review. Infrastructure needs an owner after the project ends.
Our Process
The five stages every project runs through.
Discover
Your current release process, environments and incident history, with the four delivery numbers baselined.
Define
Target architecture, tooling, environment strategy, and which numbers this work is meant to move.
Build
Pipelines, infrastructure code and monitoring built in sprints, proven on one service before all of them.
Test
Failure simulation, rollback rehearsal, load testing, and a security scan of the pipeline itself.
Launch & support
Cutover, runbooks and handover training, then support under an agreed response time.
Ready To Make Releases Boring?
Tell us how you deploy today and what usually goes wrong. We will baseline the four numbers, then tell you which ones are worth moving first.
Plan your projectFAQs
Against four numbers taken before we start: deployment frequency, the time from commit to production, the share of releases that fail, and how long recovery takes. Research consistently finds these improve together rather than trading off.
A working pipeline for one service usually takes three to six weeks. Rolling it across a full estate, with infrastructure code and monitoring, runs three to six months depending on how many services and environments exist.
Often not. Kubernetes earns its operational cost when you run many services, need fine-grained scaling, or have people to look after it. A handful of services usually runs better on a managed container or app platform.
Yes. Most engagements start inside whatever you already run, whether that is Jenkins, Azure DevOps, GitHub Actions or GitLab. Replacing tooling is a decision with a cost, and it comes after the process problems are fixed.
You get the infrastructure code, pipeline definitions, runbooks and dashboards, plus handover training for your team. Keep us on support or run it yourself. Nothing sits in accounts we control.