Kenneth Tan

Dr Kenneth Tan has been in the large scale systems sector for 18+ years. At Sardina Systems, Kenneth leads the product development team responsible for building OpenStack automation software, to optimize OpenStack cloud operations. He was previously with CloudFabriQ, BNP Paribas, OptimaNumerics, in product development and business development roles, involving products and services sold to major data center operators in automotive,energy, defense, meteo, finance. He has led teams in UK, Russia, Ukraine, Belarus, Estonia, Germany.

Be ready for OpenStack and Kubernetes highly efficient while optimizing your resource management

We very much like that OpenStack and Kubernetes platforms are constantly evolving thanks to one of the fastest growing open source communities in the world, writing more than 20M lines of code. Impressive! However, while being grateful for this innovative open source technology your IT team should still investigate the importance of optimizing the Open infrastructure system. What are the Open Source tools for that? Can your business achieve high resource utilization efficiency for the data center operations? Can it be done in real time without affecting the business?

This presentation aims to explore and answer to all these questions, especially to present how optimizing resources utilization enables an OpenStack and Kubernetes environment to achieve reduced cost and improved speed, and how your open infrastructure system building on OpenStack can achieve efficiency levels that is otherwise unmatched.

In order to achieve high resource utilization efficiency, there are 2 situations that we think we need to handle:
• Given a particular set of new VMs to be initiated, where should the VMs be placed, considering live resource utilization across the entire facility?
• Given a set of VMs running within the facility, how can the VMs be packed onto the optimal number of servers while catering to the resource requirements of the VMs, without performance impact?

For OpenStack, we will show at least one solution of optimized resource management. For Kubernetes, this scheme hinges upon Kubernetes pods running within VMs.

How OpenStack can transform the Academic Cloud environment through innovation

OpenStack cloud software is today providing advanced solutions for all the challenges that academic computing environments are faced with, like flexible infrastructure, span multiple locations at the same time, self-service compute environments, or high-volume data management.
The objective of this session is to speak about the main improvements and unique benefits that OpenStack is bringing to academic cloud computing environments like:
– benefit of a low cost system
– manage multiple cloud workloads successfully
– agile, flexible and scalable infrastructure
– optimize data center energy consumption
– dynamically reconfigurable environments

We will provide some examples together with valuable learning points gathered from a number of universities that we have worked with to get their OpenStack up and running in one cup of coffee, like top universities from UK and Germany, catering to workloads including machine learning, bioinformatics, high energy physics and particle physics.

Zero downtime operations in the open infrastructure cloud is a bonus! Join our session to hear more about it.