DEVOPS / CLOUD & PLATFORM ENGINEERING
Make shipping software
a routine part of
the business.
Dependable releases, clearer operations, and infrastructure your team can understand and improve.
Talk to an engineer
01 / WHEN TO BRING US IN
When delivery starts to get in the way.
Releases need a coordination meeting.
Deployment knowledge lives with a few people, and every change feels risky.
Infrastructure state is unclear.
Manual changes make environments hard to reproduce, troubleshoot, or move.
The cloud bill keeps climbing.
You need to understand the drivers and implement changes—not just receive a report.
A migration feels too risky.
Data, dependencies, and production behavior need a rehearsed plan.
02 / WHAT WE DO
Follow the problem. Fix the system.
Cloud platforms & migrations
Establish a known infrastructure state, introduce GitOps, prepare data movement, validate behavior, and rehearse production cutovers across AWS, Azure, and GCP.
PROJECT EVIDENCE
AWS → GCP: zero reported cutover downtime and approximately 25% lower cloud spend at migration.
CI/CD & developer environments
Automate builds and tests, introduce preview environments, and make releases repeatable with staged and canary deployments.
PROJECT EVIDENCE
AWS → Azure: application and delivery changes helped quarterly releases become multiple releases per week.
Reliability & observability
Connect logs, metrics, and traces so teams can investigate incidents. Introduce operational automation where it helps, including AI-assisted upgrade investigation supported by HolmesGPT experience.
IN PRACTICE
Useful signals, clear runbooks, and reviewed automation—not another dashboard without an owner.
Cloud-cost optimization
Examine resource usage, autoscaling, services, networking, and commercial commitments. Then implement and validate the changes.
PROJECT EVIDENCE
After the GCP migration, further optimization reduced estimated annual cloud spend from $750,000 to $580,000.
03 / WHAT YOU LEAVE WITH
A working system. A team ready to own it.
Version-controlled foundations
Infrastructure and tested environments with a known, reviewable state.
Working delivery workflows
Builds, tests, and deployment pipelines integrated into your everyday workflow.
Operational ownership
Runbooks, implementation decisions, and a team equipped to operate what we build.
04 / ENGINEERING IN PRACTICE
Lower cloud costs. More frequent releases.
A software business needed to reduce rising AWS costs without interrupting service. We reused its GitOps foundation, prepared data movement, and coordinated a GCP cutover—then continued optimizing the platform and delivery workflow.
≈25% lower cloud spend at migration. Further optimization afterward. Zero reported cutover downtime.
Read the cloud costs & releases case study →Project-interview estimates; costs are not normalized to a constant workload. Reported cutover downtime is not an availability SLA.
RELATED PROJECT
Biotech: 60 microservices deployed under GitOps after an earlier Kubernetes implementation had stalled.
05 / HOW THE ENGAGEMENT WORKS
From first assessment to shared ownership.
Discover
Review the platform, workflow, constraints, and goals. Agree on a focused starting point.
Architect
Set a practical design and delivery sequence with clear acceptance criteria.
Build
Work alongside your engineers, demonstrate progress, and validate changes before cutover.
Enable
Transfer operational context, document decisions, and agree on ongoing ownership or support.
Focused assessment, implementation project, or ongoing embedded engineering. The model follows the work.
06 / PRACTICAL QUESTIONS
Start with what you already have.
Can you work with our existing stack?
Yes. We start with the current architecture, constraints, and delivery workflow. A platform change is not a prerequisite.
How do you work with our internal team?
We collaborate in your workflows, share decisions, and build with the people who will maintain the result.
Can you stay involved after delivery?
Ongoing embedded support is an option. We agree on responsibilities, priorities, and operational boundaries together.
How is scope established?
We begin with the system, risks, and desired outcome, then define deliverables, dependencies, and acceptance criteria before implementation.