Date(s) - 02/22/2017
6:00 pm - 8:00 pm
RSVP to the meetup here.
6:00p Food, Networking
6:30p Lessons Learned Deploying and Operating OpenContrail and OpenStack in SaaS Environment
Workday operates OpenStack in production and the path to get them there was full of technical challenges. Their team has fulfilled operations, security and performance requirements that in many cases push them to make source code changes as well as configuration management adjustments. They want to share with other teams what was the best way to collaborate with the community and how they become part of that community.
Scaling out a production cluster of OpenStack could be a very challenging task. Adding compute node and resources in general is a very trivial task until things start falling apart and most cases the roll back process will not even help to get back to normal. On top of that, the network design needs to be flexible enough to keep adding more services in the Cloud without disrupting the initial design. Please, join us to learn more about Workday’s path to production and the lessons learned.
Edgar Magana, PhD, Cloud Operations Architect
Edgar is an emerging leader who has specialized in Cloud Computing, Network Virtualization, Software-defined Networking (SDN), Network Functions Virtualization (NFV), OpenFlow, OpenContrail and OpenStack. He has developed excellent software development skills and outstanding customer and business driven experience. Edgar is a member of the OpenStack Board of Directors Foundation, User Committee Chair and OpenContrail Advisory Board member. He is a core member of the Networking Guide OpenStack development community. Edgar has strong experience in fully automated Cloud Computing deployments by means of puppet and chef orchestration languages. He has lead OpenStack development, third-party integration and deployment teams for over the last four years. Edgar has an extensive experience on Cloud and Grid Computing, Policy-based Management Systems, Monitoring and Scheduling of networking and computational resources on distributed networks.