Ship software faster, and run it with confidence.
Silver Leaf Consulting helps companies adopt DevOps, MLOps and platform engineering: the practices behind teams that release every day, recover from incidents in minutes and keep their cloud bill under control.
Based in France. Working with engineering teams across Europe, in French and English.
The new jobs in IT, in plain words
DevOps, SRE, MLOps, FinOps: the titles multiply faster than anyone can explain them. Here is what each one actually does, and why it should matter to you even if you never write a line of code.
DevOps
Removes the wall between the people who write software and the people who run it. Code moves from a laptop to production through one automated, repeatable path.
New features reach customers in days rather than months, and releases stop being a risky event.
Platform engineering
Builds an internal “paved road” for developers: self-service environments, templates and tooling, so nobody waits on a ticket to get started.
A new project goes from idea to a running environment in an afternoon. Teams stop reinventing the wheel.
Site reliability engineering
Treats reliability as an engineering problem, with measurable targets, meaningful alerts and an on-call rotation that doesn’t exhaust people.
You know how reliable your service really is, incidents get shorter and rarer, and your team sleeps at night.
MLOps and LLMOps
Takes machine learning models and AI assistants out of notebooks and prototypes: versioning, automated deployment, monitoring for drift and cost.
Your AI investments actually reach production, and keep working as your data and your users change.
DevSecOps
Puts security checks inside the delivery pipeline instead of a review at the very end: dependency scanning, secrets management, policy as code.
Vulnerabilities are caught before release, and compliance evidence is produced automatically rather than assembled for each audit.
FinOps
Makes cloud spend visible, forecastable and owned by the teams that create it.
No more surprise invoices. Cost per product, per team or per customer becomes a number you can act on.
DataOps
Brings the automation, testing and monitoring that DevOps brought to application code to data pipelines.
Dashboards and reports you can trust, delivered on time, with problems caught before anyone decides on bad numbers.
What changes for your business
The jargon is new; the outcomes are not. Here is the difference these practices make, in terms a board can read.
Releases
Quarterly, scheduled at night, with everyone on standby.
Several times a week, during office hours, without drama.
Incidents
Discovered by customers; resolved in hours by the one person who knows.
Detected by monitoring; resolved in minutes by whoever is on call.
New environments
Weeks of tickets and manual setup.
Self-service, ready in minutes.
Cloud costs
A monthly surprise nobody owns.
A budget per team, tracked and forecast.
Security and compliance
A scramble before every audit.
Evidence generated automatically from the pipeline.
AI and data projects
Promising prototypes that never leave the notebook.
Models deployed, monitored and retrained in production.
How an engagement runs
Short, measurable steps. We work inside your teams rather than next to them, and we aim to leave you independent.
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Assess
Two to three weeks with your teams: we map how software gets delivered today, where it hurts and what it costs. You get a written roadmap, whether or not you continue with us.
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Design
We pick the smallest set of changes with the biggest effect, and agree on how to measure them: lead time, deployment frequency, time to recover, change failure rate.
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Build, alongside your team
Our engineers work in your repositories and your rituals, pairing with your people rather than delivering slides.
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Hand over
Documentation, training and a runbook for everything we touched. The goal is a team that no longer needs us.
Ways to work with us
From a quick diagnosis to a full transformation programme. Each format has a clear scope and a clear end.
Maturity assessment
3 weeksA fixed-price review of your delivery, reliability and cloud cost practices, ending with a prioritised roadmap.
Transformation programme
3 to 12 monthsPlatform, pipelines, observability and ways of working, delivered in increments you can measure.
Embedded engineers
From 1 monthSenior DevOps, SRE or MLOps engineers who join your team for a defined mission.
Workshops and training
1 to 3 daysHands-on sessions for developers, operations and managers: CI/CD, Kubernetes, infrastructure as code, MLOps fundamentals.
We work with the tools your teams already know, and we don’t sell any of them: Kubernetes, Terraform, GitHub Actions, GitLab CI, Argo CD, Prometheus, Grafana, OpenTelemetry, MLflow, on AWS, Azure, Google Cloud, OVHcloud and Scaleway.
Tell us what is slowing you down.
A short conversation is enough to tell whether we can help. No slide decks, no obligation.