Event Details

Please note: All times listed below are in Central Time Zone

Optimizing OpenStack at large scale

Among the difficulties arising from a large public cloud deployment, sizing the compute host and designing message queuing and databases can be most challenging.

During this talk based on our feedback we will focus first on how we designed our databases clusters, how we optimized configuration to handle the increase of requests, how we monitor databases performances, how we handle intervention on DB without impacting clients.

To keep getting good databases accesses archiving of data is inevitable. We'll also show you how we achieve to do it.

We will also focus on rabbitmq cluster design. We will answer to how we do to provide HA and why we choose such architecture?

What can I expect to learn?

Coming to this session will give a good overview of what is a successfull database and rabbitmq cluster design at large scale and how to maintain a cluster without impacting clients. It will focus on best practices and tools that help to take decisions.


Monday, April 29, 12:00pm-12:40pm (6:00pm - 6:40pm UTC)
Difficulty Level: Advanced
never do same things twice engineer
Recently arrived in the OpenStack world on devops side, I'm in charge of deploying OpenStack infrastructure at OVH with a leitmotiv in mind: never do same things twice, do it once then watch your script doing it for you I'm also using my experience on Galera cluster with MariaDB to manage our databases clusters at large scale.   FULL PROFILE
Principal Engineer in OVHcloud Public Cloud department. FULL PROFILE