DevOps consulting for teams whose releases have quietly become the bottleneck.
We work on the pipeline, the environments and the release path your engineers already use, so shipping stops being an event.
Building and running software since 2007We measure your delivery before we change it
- Merge2m
- Build9m
- Test24m
- Approvalwaiting6 days
- Deploy11m
Four stages take under an hour between them. One takes six days.
Three signs the release process is now the constraint.
DevOps consulting is not the right first step for every team. If your delivery pain is really unclear requirements or a fragile codebase, faster deploys will only surface that sooner.
Deploys are scheduled, not routine
Releases wait for a window, a person or a quiet week. Work sits finished but unshipped, and the queue hides how long anything really takes.
Environments disagree
It worked in staging. Debugging the difference between environments becomes a recurring cost nobody has budgeted.
One person knows how
The pipeline runs because someone remembers its quirks. Holidays and handovers turn into risk.
What we take on.
Six points on one delivery path, from the build that starts it to the handover that ends our part in it.
- BuildPipeline design and rebuild
- EnvironmentsEnvironment consistency
- ReleaseRelease safety
- RuntimeObservability
- FoundationInfrastructure as code
- After usHandover and enablement
- Pipeline design and rebuild
- Build, test and deploy stages made explicit, repeatable and fast enough that engineers stop working around them.
- Environment consistency
- Development, staging and production brought into agreement, so a passing test means something.
- Release safety
- Staged rollout, a tested way back, and the checks that decide whether a release continues.
- Observability
- Logs, metrics and alerts that answer what broke and when, rather than confirming that something did.
- Infrastructure as code
- Environments described in version control, so recreating one is a command rather than an afternoon.
- Handover and enablement
- Your engineers run what we build. Documentation and working sessions are part of the engagement.
Where the work reaches into application changes it joins custom software practice; where it is a platform move it joins cloud migration.
See cloud migrationThe four numbers that tell you where delivery actually hurts.
Most teams describe delivery pain in adjectives. These four measures turn it into something you can act on, and you can collect them before hiring anyone.
- Measure 01
Time from merge to production
- What it tells you
- How long finished work waits.
- What a bad answer usually means
- The pipeline or the approval path, not the engineers.
- Measure 02
Deploy frequency
- What it tells you
- Whether releasing is routine or an event.
- What a bad answer usually means
- Batching, which makes every release riskier.
- Measure 03
Share of releases needing a fix after
- What it tells you
- Whether the checks catch anything.
- What a bad answer usually means
- Testing runs too late, or not against a real environment.
- Measure 04
Time to restore after a failure
- What it tells you
- Whether you can recover without heroics.
- What a bad answer usually means
- No tested way back, and no observability to find the cause.
We ask for these at the start. If they already look healthy, the constraint is somewhere else and we will say so.
How a DevOps engagement runs.
Measured at the start, measured again after one narrow change, so the improvement is visible rather than asserted.
Measure before changing anything
The four measures above, taken from your existing history rather than estimated in a meeting.
Find the actual constraint
Usually one stage dominates. Fixing the others first feels productive and changes nothing.
Change one stage, prove it
A single narrow change, measured against the same numbers, so the improvement is visible rather than asserted.
Make it repeatable
Environments and pipeline described in code, so the fix survives the next person and the next project.
Hand it to your engineers
Working sessions and documentation, because a pipeline only we can operate is a new dependency, not an improvement.
One change at a time. Fixing several stages at once makes it impossible to tell which one moved the number.
What we can show, and what we cannot.
We have no published DevOps case study with a measured before and after. Rather than borrow a number from unrelated work, here is what the record does support.
- Building and running software since
- 2007Building and running software since
- Projects delivered
- 0+Projects delivered
- Longest running client integration, still in production
- 9 yrsLongest running client integration, still in production
- Countries served
- 6Countries served
The nine-year figure is the relevant one for this page. Keeping an integration running for nine years is a delivery and operations record, not a launch record.
See all case studiesWhere this work usually starts.
Framed as situations rather than industries. Delivery constraints look similar across sectors, and we have no sector-specific DevOps evidence to claim.
A product team shipping weekly or slower
Where the release cadence is set by the pipeline rather than by the roadmap.
A platform team carrying manual steps
Where deployment involves a runbook and a person following it carefully.
A team after a migration
Where infrastructure moved but the delivery process stayed where it was.
A team about to grow
Where onboarding a new engineer to the release process is the bottleneck nobody costed.
What we will not do, and why that matters to your bill.
Each of these is easier to sell than to justify, which is why they are written down.
We do not rebuild a working pipeline
If the constraint is one stage, we change that stage. A rewrite is easier to sell and harder to justify.
We do not introduce a tool you cannot staff
The right tool is the one your team can operate after we leave.
We do not become the pipeline
An engagement that ends with only us able to deploy has moved the risk, not removed it.
We do not chase a maturity score
Delivery measures matter because they change how fast you ship, not because a model says they should improve.
Consultant, hire, or platform product: which one fits.
Four ways to close a delivery gap, including the one that costs nothing.
Bring in consultants
This is what we sellFits whenThe constraint is known work that ends, and you want your team to own it afterwards.
What it does not solveNothing, if there is no one on your side to hand it to.
Hire a platform engineer
Fits whenYou need continuous ownership and have enough delivery work to justify the role.
What it does not solveThe immediate constraint, because hiring takes longer than the problem allows.
Buy a platform product
Fits whenYour delivery needs are close to standard and the team can adopt a fixed way of working.
What it does not solveA constraint that comes from your own architecture rather than from tooling.
Do nothing yet
Costs nothingFits whenDelivery measures look healthy and the pain is somewhere else.
What it does not solveNothing, and this is a legitimate answer.
We have an obvious interest in the first row. The four measures above are what tell you which row you are actually in.
What you have when the engagement ends.
Including the measures themselves, still collecting, which is what makes a regression visible.
The pipeline, in your repository
Defined as code you own, reviewable and changeable without us.
Environments described in code
Recreating an environment is a command rather than institutional memory.
The four measures, still being collected
Set up so the numbers keep arriving after we leave, which is what makes regression visible.
Runbooks your team wrote with us
Covering deploy, rollback and the failures you have actually seen.
A written list of what we did not do
The deferred items, with the reason, so the next decision starts from the record.
Bring us your last four weeks of deploys.
A senior engineer will look at where finished work is actually waiting, tell you which stage is the constraint, and say plainly if the answer is that delivery is not your problem.
What teams ask before they start.
Pick a topic, or ask us directly. We answer every inbound within one business day.
Still have questions?
Talk to a senior engineer, not a bot.