DevOps consulting services and cloud engineering
Releases you are not afraid of, and infrastructure that more than one person understands.
DevOps and cloud engineering means making software delivery repeatable and safe: automated build and deployment pipelines (CI/CD), infrastructure defined as code, monitoring that tells you something useful, and a tested way back when a release goes wrong. AMT (Advanced Millennium Technologies) builds and runs this on AWS, Azure and Google Cloud, including for systems we did not build.
// release_day
Why release day feels risky, and how to fix it
One question tells you a lot about a team's delivery health: how does everyone feel on release day? If the answer involves a weekend, a bridge call and someone who cannot take leave that week, the problem is not discipline. Deploying is risky, so it happens rarely, so each release carries more change, so it gets riskier still. Breaking that loop is most of what DevOps work is.
// dora_metrics
How we measure delivery health: the four DORA metrics
| Metric | What it tells you |
|---|---|
| Deployment frequency | How often you ship to production. |
| Lead time for changes | How long a code change takes to reach production. |
| Change failure rate | How many deployments cause a problem in production. |
| Time to restore service | How fast you recover when one does. |
We baseline these in the first weeks and report them as we go, so you can see whether the work is paying off.
// reduce_risk
Four ways to reduce deployment risk
- Deploy smaller, more often. Ten small releases carry less total risk than one big one, and when something breaks the cause is obvious.
- Rehearse the way back as well as the way forward. A rollback that has never been tested is a hope.
- Define infrastructure as code. So the environment can be rebuilt, reviewed and understood, and stops living in one person's memory.
- Monitor what users experience, not just what servers report. Every server green while checkout is broken is the classic failure. Alert on the user journey.
What is deliberately not on that list
Kubernetes, service meshes and multi-cloud. All are useful at the scale where they solve a problem you actually have. Most teams adopt them before that point and take on extra operational work instead of a benefit.
Get the deployment risk checklist
Four changes that reduce release risk, how to tell whether you need each one, and the honest test for whether you need Kubernetes. One page.
// proof
Proof: a global commerce platform on AWS
For a global wellness and personal care B2B platform, we built the delivery pipeline and infrastructure on AWS with Docker, Kubernetes and Jenkins. The platform moved from its old systems in phases over about six months without stopping trade, now supports 200,000+ SKUs, and expanded to 8 languages and 30+ countries within 12 months of launch.
// cloud_cost
Cloud cost optimisation: where the savings usually are
- Resources sized for a peak that never arrives.
- Environments nobody switched off.
- Data transfer patterns nobody has looked at.
None of it requires re-architecting anything. Be wary of any cost-reduction proposal that starts with a migration.
// devops_services
Our DevOps and cloud services
| Service | What it covers |
|---|---|
| CI/CD pipelines | Build, test and deploy automatically, with a tested way back. Jenkins or your existing tool. |
| Infrastructure as code | Terraform or equivalent, reviewable and rebuildable. |
| Cloud migration | AWS, Azure and Google Cloud, phased where the system cannot stop. |
| Containers and orchestration | Docker and Kubernetes, with an honest view on whether you need orchestration yet. |
| Monitoring and alerting | Based on user journeys, with alerts people do not learn to ignore. |
| Cloud cost optimisation | Right-sizing, idle environments and data transfer first. |
// cost
Cost
| Stage | Pricing model | What drives the effort |
|---|---|---|
| DevOps assessment | Fixed price, 2 to 3 weeks | Number of applications, environments and current release process. |
| Implementation | Scoped after the assessment | Pipelines, infrastructure as code coverage and migration needs. |
| Ongoing operations | Monthly | Environments run and the support hours you need. |
| Typical budget range | 20 to 30 USD per hour | Cloud architects and migration work at the higher end, ongoing operations at the lower end. |
// not_right_fit
When we are not the right fit
// faqs
FAQs: DevOps consulting services
What does a DevOps consultant do?
What are DORA metrics?
How can we deploy more safely?
Do we need Kubernetes?
How can we reduce our cloud bill?
Which clouds do you work with?
Can you work with our existing CI/CD pipeline?
How does your release day feel?
30 minutes with an engineer. Tell us what happens when you deploy, and we will tell you which of the four changes would help most, and which ones you do not need.
Not ready to talk? Read how we deliver. No form.