SERVICE
DevOps consulting
Deploys that are boring and incidents that are short.
What this actually is
DevOps is not a tool purchase. It is the practice of making change safe and frequent: repeatable builds, infrastructure that exists as code rather than as institutional memory, and observability good enough that an incident is diagnosed instead of guessed at.
The measures that matter are the DORA four — deploy frequency, lead time, change failure rate, time to restore. They are worth stating because they keep the work honest: a sophisticated pipeline that nobody trusts to deploy on a Friday has not improved anything.
What we do
Assessment
Current deploy frequency, lead time, failure rate and recovery time, measured rather than estimated. This usually contradicts what everyone believed.
Pipelines
Build, test, stage and release with gates that mean something and a rollback that works under pressure.
Infrastructure as code
Environments reproducible from a repository, so a new one is a command rather than a week and a checklist.
Observability
Metrics, traces and logs with alerts that fire on user-visible symptoms instead of on CPU graphs nobody reads.
Enablement
Your engineers operating it. A platform only we understand is a dependency, not an improvement.
The stack
What it connects to
Integration surface is the honest driver of effort — ten systems is not ten times one system.
- Git hosting and CI providers
- Cloud provider APIs
- Secrets managers — Vault, cloud-native
- Incident tooling — PagerDuty, Opsgenie
- Container registries and artifact stores
How a project runs
Assessment
1–2 weeks
The four DORA metrics measured, and the specific bottleneck behind each.
Pipeline
2–4 weeks
Automated build, test and deploy with a rollback that has been rehearsed.
Infrastructure
3–6 weeks
Environments as code, with cost visible per service.
Observability
2–3 weeks
Dashboards and alerts tied to symptoms, plus a runbook per alert.
Where teams use it
Scaling teams
A process that worked with four engineers and stopped working at fifteen.
Post-incident
After an outage nobody could diagnose quickly, which is usually an observability gap rather than a code one.
Cloud cost
Bills growing faster than usage, normally fixed by right-sizing and deleting what nobody owns.
Compliance
Audit requirements that demand traceability from commit to production.
Migration
Moving between providers or from servers to containers without a freeze.
When this is the wrong answer
You probably do not need Kubernetes. It earns its complexity at real scale or with genuinely varied workloads; below that a managed platform is cheaper and easier to operate, and we will say so.
Tooling does not fix an organisation that will not let engineers deploy. If approval takes three days, the pipeline is not the constraint.
A platform your team cannot operate is a liability. Enablement is part of the work rather than a phase to cut when the budget tightens.
Cost optimisation has diminishing returns. The first pass is usually large and unglamorous; chasing the last few percent rarely pays for the engineering time.
Proof
Voice platform sustaining 10,000+ concurrent calls
End-to-end real-time voice intelligence platform with agentic decision loops, post-call automation and Kubernetes auto-scaling.
Frequently asked questions
How long before deploys get faster?
A pipeline that removes the manual steps usually lands in three to four weeks. Cultural change — trusting it enough to deploy daily — takes longer and depends on your team more than on us.
Can you reduce our cloud bill?
Usually. The first pass is right-sizing and removing unowned resources, which is unglamorous and typically the largest single saving.
Do you take over on-call?
No. We build the observability and runbooks so your team can hold it, because an on-call rotation outsourced to a vendor loses the context that makes it work.
Terraform or the cloud provider tooling?
Terraform where you are multi-cloud or want portability; native tooling where you are committed and want the simpler path. Both are defensible and the wrong choice is expensive to unwind.
Who owns the code?
You do, from the first commit — work happens in your repository under your licence, and the contract assigns IP outright. We keep no rights and build no dependency that makes leaving expensive.
What does it cost?
We do not publish a number, because the honest one depends on scope, integrations and the accuracy bar. Tell us the budget you are working with and we will say what it buys — or say plainly if it does not buy enough.
Related
Before you choose anyone
Written to be useful whether or not you hire us — including the parts that argue against hiring an agency at all.
How to choose an AI development company
ReadAI agency vs in-house team
ReadCustom AI vs off-the-shelf
ReadOffshore vs local AI development
ReadAI Voice Agents: The Complete Guide for Businesses (2026)
ReadRAG vs Fine-Tuning: Which Does Your Business Need?
ReadHow Much Does AI Development Cost in 2026?
ReadDevOps Consulting — tell us the scope
Tell us what you are building. We reply within one business day.
