Thomas Jouffroy
Platform Engineer - Sopra Steria
Nice, France
Actions
I’m a Platform Engineer at Sopra Steria with over 12 years of experience in DevOps and Middleware.
My work focuses on building resilient, secure, and scalable platforms, with a strong emphasis on automation and industrialization.
I’m passionate about sharing real-world insights and lessons learned from deploying Kubernetes in critical environments.
Expertise:
* Design, audit, hardening, and build of Kubernetes and OpenShift platforms.
* Deployment in both cloud and on-premises environments, including secure infrastructures like OVH SecNumCloud.
CI/CD & Tooling:
* Implementation of CI/CD pipelines using GitLab-CI.
* Platform and application managment OpenShift GitOps (ArgoCD)
* Integration of tools such as Helm, Terraform, Dynatrace, and Kasten K10 for observability and backup.
Cloud & Virtualization:
* Management of complex OpenShift migrations (from 3.x to 4.x).
* Cluster deployments on vSphere, OpenStack, OpenShift Virtualisation, AWS or Azure Stack.
* Extensive work with virtualization technologies like OpenShift Virtualisation and vSphere.
Links
Badges
Area of Expertise
Topics
Kubernetes Vector Databases: Ready for production?
Lots of companies started to create AI Assistant based on LLM and vector database.
Many questions appeared with those new technologies:
* Are existing Helm charts able to support or include vector plugins? Do we have to rebuild and maintain those images?
* Are we able to backup and monitor those databases?
* Are pure vector database the real target in front of historical databases (mongodb, postgres, etc.) using RAG method?
We would like to share our experiences about different implementations of databases on Kubernetes with our different customers.
Databases over Kubernetes: Problem or Solution?
Should you really run your database on Kubernetes - or is that asking for trouble?
In this talk, we’ll share what we’ve learned from running databases on Kubernetes in production for different customers: the good, the bad, and the painful. We’ll cover performance trade-offs, day-2 operations like monitoring and backup, and how to decide if it’s the right move for your workloads.
Many companies ask themselves about installing databases in Kubernetes. By the way, we all try to implement those solutions.
* Does it make sense to host your database in Kubernetes?
* Will we have performance issues?
* Is there pros and cons for databases hosted in Kubernetes?
* How would you decide if you can go over Kubernetes for your database?
* How to managed monitoring and backup ?
We would like to share our experiences about different implementations of databases on Kubernetes on our different customers.
>> Why attend
* Hear real-world stories—what worked and what didn’t
* Learn when Kubernetes makes sense for databases (and when it doesn’t)
* Pick up practical tips for monitoring, backup, and running stateful apps in K8s
Come for the war stories, leave with decision-making tools and best practices you can use right away.
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top