A senior-led engagement that designs and automates the path from commit to production, then trains your team to own it. It is measured on change failure rate against a DORA baseline, and it publishes no client metrics — because none are verified, and borrowing one would be worse than having none.
Deployment frequency, lead time, change failure rate and recovery time, measured before the work starts.
Strategise, chalk out a roadmap, implement, then support and maintain — the published process spine.
No client outcome figure is published for this service, because none has been verified. That is deliberate.
The platform is left documented and handed over, not held hostage.
DevOps consulting covers the pipeline and the practice around it: standardised build, test, security-scan and deployment stages; infrastructure as code and configuration management; containerisation and orchestration with Docker and Kubernetes; test automation wired in so nothing ships untested; and automated application monitoring. Cost optimisation, logging, incident response, backup and disaster recovery come with it.
It is deliberately tool-agnostic — the stack is chosen to fit your environment rather than forced. Typical work spans Jenkins, GoCD, Bamboo or Azure DevOps for CI/CD, Docker and Kubernetes for containers, Ansible, Chef or Puppet for configuration, Terraform modules for infrastructure, Selenium and Appium in the pipeline, and Zabbix or Nagios for monitoring. The targets are agreed up front as deployment frequency, lead time and reliability, with change failure rate as the headline measure and DORA metrics as the baseline.
Project recovery is a first-class part of the offer rather than a fallback. When a DevOps rollout has stalled, the diagnosis is usually one of four things: misconfigured CI/CD, weak test automation coverage, tooling knowledge gaps, or broken collaboration between teams — and each has a different fix. The engagement ends with the platform documented and handed over, and with your practitioners mentored to hit the objectives themselves.
The pipeline, the practice, and the training that stops it decaying after we leave.
Standardised build, test, security-scan and deployment stages, with test automation wired in so nothing ships untested. Consistent environments are the point: most post-release failures trace back to two environments that were never the same.
Version-controlled, peer-reviewed infrastructure with Terraform modules, and configuration management through Ansible, Chef or Puppet, so provisioning stops being a manual step somebody remembers differently each time.
Docker and Kubernetes, sized to what you actually run rather than to a reference architecture. Orchestration is a means to reproducible deployment, not a destination.
Automated application monitoring, logging and performance management, with incident response, backup and disaster recovery defined before they are needed rather than during the first outage.
A named offer for a stalled rollout: diagnose whether the root cause is CI/CD configuration, thin automation coverage, tooling knowledge gaps or team collaboration, then fix it with senior engineers accountable for the outcome.
Training for system administrators, project and programme managers, delivery managers, developers and test engineers, plus ongoing mentoring of your DevOps practitioners against the objectives you set.
The four published stages, and what each is actually for.
Establish where you are on the DORA baseline and what the constraint really is. A team deploying monthly with a high change failure rate has a different problem from one deploying daily with slow recovery.
Tool selection against your environment rather than a fixed toolchain, sequencing that puts the pipeline before the platform, and targets stated as deployment frequency, lead time and reliability.
Pipelines, infrastructure as code, containerisation, monitoring and test automation, built by senior engineers who stay with your team from kickoff to handover rather than rotating out after design.
Runbooks, documentation and mentoring for your practitioners. You can keep us running it as a managed service, keep embedded engineers, or take it entirely in-house — all three are supported.
Every trigger below is one of the pain points the practice publishes, rather than an invented persona.
Post-release failures that trace to environment drift, and manual infrastructure provisioning nobody can reproduce. The fix is codification before it is culture.
Scalability limits and rising maintenance cost as the estate grows faster than the practice around it. Deployment frequency is usually the first symptom.
A DevOps programme that started and stopped. Recovery work diagnoses the root cause rather than restarting from scratch, which is almost always cheaper.
Testing bottlenecks and silos between development and operations, where the handoff itself is the delay and shared accountability is the actual deliverable.
Adjacent work, and an honesty note about proof.
CI/CD pipelines, infrastructure as code, containerisation, continuous testing and monitoring, plus the process changes that make them stick. The outcome is more frequent releases with fewer failures and faster recovery when something does break.
We are tool-agnostic and select for your environment. Typical work spans Jenkins, GoCD or Azure DevOps for CI/CD, Docker and Kubernetes for containers, Ansible, Chef or Puppet and Terraform for infrastructure, and Zabbix or Nagios for monitoring.
Yes — project recovery is a core part of the offer. We diagnose the root cause, whether that is misconfigured CI/CD, weak automation coverage, tooling knowledge gaps or broken collaboration, and senior engineers own the fix so you do not restart from scratch.
Either, and many teams do both over time. We can run it as a managed service, embed vetted engineers alongside your staff, or upskill your existing team until they operate independently — the last of those is the stated goal.
DevOps is a culture and set of practices for collaboration between development and operations. Platform engineering productises those practices into a reusable internal platform with golden paths, so every team gets the same paved road instead of rebuilding tooling.
DORA metrics as the baseline, with change failure rate as the headline, alongside deployment frequency, lead time and recovery. Targets are agreed before the work starts rather than reported after it.
Talk to the group and a senior lead scopes it in writing, or go straight to the service's own site and look at it yourself. Neither route commits you to the other.
Name the number you need to hit. A senior lead replies within one business day and a costed plan follows within three working days.
The full DevOps consulting page, including the four-stage process, the project-recovery offer and the tool positions in detail.
Everything the group sells around DevOps consulting — the company that delivers it, the nearest siblings, and the full list.