Containerize Your Data Center with Univa’s Grid Engine Container Edition Sponsored Content by UNIVA
IT teams are under pressure to deliver more value, and do it faster. The pressure to meet internal requirements and the needs of customers continues to build. Often with limited resources, IT departments are challenged to keep older systems running while new applications and features are brought to market and incorporated. They need to maximize what they have, make sure nothing gets dropped, respond to urgent conditions, and continue to progress in order to help the business succeed.
IT professionals are constantly seeking creative solutions to solve this challenge. One single solution is not going to be sufficient. Yet containers – especially Docker – can dramatically assist IT departments and software developers deliver solutions faster and with more flexibility.
Docker containers are being rapidly adopted by developer communities and provide a more responsive and efficient method to create, modernize and release applications. IT operations managers want to incorporate containers within their production systems but require proven orchestration and scheduling software as well as configuration tools. Running Docker containers in a Univa Grid Engine cluster fulfills these needs.
Univa released the Grid Engine Container Edition last month. The software solution features the unique ability to run containers at scale and blend containers with other workloads.
Incorporating Univa with Docker containers also provides scheduling and resource allocation functions such as full job control with pre-emption, termination and run-time statistics, cluster-wide. The Grid Engine Container Edition already works with any infrastructure, any operating system, and thousands of applications and frameworks. This means that IT can be highly responsive to business needs and simultaneously gain the benefits of Docker.
The Centre for Genomic Regulation (CRG), a Univa customer, deployed Docker containers with Univa Grid Engine for scientific data analysis on distributed clusters. Paolo Di Tommaso, CRG software engineer, said, "The results we achieved were terrific. By blending our current applications and the new containerized workloads, this solution allowed us to reduce configuration and deployment problems and rapidly create a self-contained run-time environment to accelerate development."
The Univa solution also allows a user or administrator to schedule Docker containers so that the correct business-critical containers are prioritized over other workloads – thus maximizing shared resources and allowing organizations to gain velocity.
Containerizing your data center has never been easier. The Univa Grid Engine Container Edition unleashes the power of containerization on any architecture, any application and in any existing environment, resulting in better efficiency and lower costs.
Look no further – the ability for IT to maximize resources and take advantage of containerization is finally here.
For more information visit www.univa.com or for SC15 Free Expo pass click here.
