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Microsoft AzureWhat DevOps consulting delivers
DevOps is a set of practices that shorten the path from a developer’s change to a reliable release in production. It combines automation — builds, tests, deployments, infrastructure — with cultural habits such as small, frequent changes, shared ownership of production and learning from incidents without blame.
DevOps consulting helps teams that know they should be moving faster but are held back by manual steps, fragile environments or fear of releases. We assess where time and risk are lost, then fix the biggest bottlenecks hands-on alongside your engineers.
Problems we solve
- Releases happen monthly or less, often at night or at weekends
- Deployments depend on one person who knows the steps
- Staging never matches production
- Incidents are found by customers, not monitoring
- Cloud infrastructure was built by hand and nobody is sure how it is configured
What’s included
DevOps assessment
A two-to-three-week review of your delivery process, infrastructure and tooling with a prioritised roadmap.
CI/CD pipelines
Automated build, test, security scan and deployment pipelines.
Infrastructure as code
Environments defined in Terraform, Bicep or CDK.
Containerisation
Docker images and orchestration that make environments consistent.
Monitoring & alerting
Metrics, logs, traces and alerts that reach the right people.
Team enablement
Pairing, documentation and workshops so improvements stick.
Measuring improvement with DORA metrics
We measure progress with the four DORA metrics widely used in the industry: deployment frequency, lead time for changes, change failure rate and time to restore service. We record a baseline at the start and track the same numbers as improvements land, so the value of the work is visible to engineering and leadership alike.
Common quick wins
- Automating the most error-prone manual deployment steps first
- Adding a fast automated test suite that runs on every pull request
- Creating preview environments for each feature branch
- Moving secrets out of code into a secrets manager
- Setting up error tracking and uptime alerts on day one
- Writing runbooks for the most common incidents
Timeline and budget
| Scope | Typical timeline | Typical budget (USD) |
|---|---|---|
| DevOps assessment and roadmap | 2–3 weeks | $5k – $12k |
| Implementation of core improvements | 1–4 months | $20k – $80k |
Typical ranges to help you plan. Your written estimate comes after a free discovery call.
How a DevOps engagement typically runs
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Assessment1–2 weeks
Interviews, review of pipelines, infrastructure, release process and incident history; baseline DORA metrics.
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Roadmap
A prioritised plan of improvements ranked by impact and effort, agreed with engineering leadership.
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ImplementationTypically 1–3 months
We build the highest-value improvements alongside your engineers, not in isolation.
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Handover
Documentation, runbooks and training so your team owns and extends the work.
Culture and process, not only tools
Buying a CI server or adopting Kubernetes does not make a team DevOps. The lasting improvements come from shared ownership between developers and operations, small and frequent changes, blameless learning from incidents and automation of repetitive work. We coach teams on practices such as trunk-based development, feature flags, code review norms and on-call rotations that are sustainable.
- Developers can deploy their own changes safely
- Production issues are visible to the people who wrote the code
- Manual approval steps are replaced by automated checks where possible
- Time is reserved for reducing toil and technical debt
Signs you would benefit from DevOps help
- Releases happen monthly or less because they are risky
- Only one or two people know how to deploy or fix production
- Environments differ and “it works on my machine” is common
- Cloud bills rise without anyone knowing why
- Incidents are discovered by customers before the team
DevOps maturity at a glance
Most organisations sit somewhere between manual releases and fully automated delivery. Knowing where you are helps decide what to improve first — and stops teams from jumping to advanced tooling before the basics are in place.
| Area | Getting started | Established | Advanced |
|---|---|---|---|
| Builds | Manual or on a developer laptop | Automated on every commit | Fast, cached builds with reproducible artefacts |
| Testing | Mostly manual | Automated unit and integration tests in CI | Tests gate every merge; flaky tests tracked and fixed |
| Deployment | Scripts run by one person | Pipeline deploys to each environment | Progressive delivery with automatic rollback |
| Infrastructure | Configured by hand in a console | Mostly defined in code | All environments reproducible from code |
| Monitoring | Users report problems | Dashboards and alerts on key services | SLOs, tracing and alerts tied to user impact |
| Security | Reviewed occasionally | Dependency and secret scanning in CI | Policy as code and continuous compliance checks |
An illustrative model; teams are often at different levels in different areas.
What you receive from an assessment
- A map of your current delivery pipeline from commit to production, with time spent at each step
- A baseline of the four DORA metrics using data from your repositories and deployment history
- A prioritised list of improvements ranked by effort and impact
- Risks to address first, such as single points of failure or unrotated credentials
- A 90-day roadmap with owners and measurable targets
- A readout session for engineering and business stakeholders
The goal of the assessment is a short, practical plan your team agrees with — not a long report that sits on a shelf.
Choosing a DevOps engagement model
| Model | How it works | Best for |
|---|---|---|
| Assessment only | Two to four weeks of review and a roadmap your team implements | Teams with capacity but unclear priorities |
| Hands-on implementation | Our engineers build pipelines, infrastructure code and monitoring alongside yours | Teams that need results quickly and want to learn by pairing |
| Embedded DevOps engineer | A DevOps engineer joins your team for several months | Ongoing platform work without a full-time hire |
| Ongoing support | A monthly retainer for maintenance, upgrades and on-demand help | Stable platforms that need expert care |
Many clients start with an assessment and continue with implementation. If you need a person rather than a project, see hire DevOps engineers.
Pitfalls we help teams avoid
- Buying a toolchain before agreeing on the workflow it should support
- Creating a separate “DevOps team” that becomes a new bottleneck between developers and operations
- Automating a slow, manual approval process instead of simplifying it
- Copying another company’s platform without their scale or staffing
- Measuring activity (number of pipelines) instead of outcomes (lead time, failure rate, recovery time)
- Leaving security to the end of the pipeline instead of building it in
Each of these slows delivery while looking like progress. We keep the focus on fewer, simpler changes that measurably shorten the path from idea to production.
After the engagement
Lasting improvement depends on your team owning the new way of working. We document pipelines and runbooks, pair with your engineers on real changes and hold a review a few weeks after handover to check the metrics are moving. Related work often includes CI/CD implementation, infrastructure as code and site reliability engineering.
Who we work with
Our DevOps consultants work with product engineering leads, platform teams and CTOs. Engagements succeed when someone on your side owns the outcome and can make decisions about tools, process and priorities.
Related services
Detailed services include CI/CD implementation, infrastructure as code, Kubernetes consulting and site reliability engineering.
This page is part of Cloud & DevOps Services — see the full overview for related services, approach and pricing.