Adaptive Computing has announced a major upgrade to its data-center and private-cloud management solution. The new version addresses growing enterprise demand to quickly deploy infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS) or software-as-a-service (SaaS) from a centralized and intelligent data center infrastructure.
The Provo, Utah company’s Moab Adaptive Computing Suite 6.0 provides increased agility and automation to decrease the time to value for new cloud services, reduce IT cost and 
complexity and optimize overall cloud resource utilization.
New capabilities in Moab enhance its ability to automate the process of identifying and allocating available resources based on business policies, compliance, cost and performance goals. Ensuring that applications and infrastructure are automatically deployed properly the first time, avoids service failures, optimizes resource usage, and reduces cost, the company said.
“Cloud solutions ultimately need to evolve in complexity from rapid provisioning to an automated, self-optimizing environment,” said Michael Jackson, president and COO of Adaptive Computing. “With Moab Adaptive Computing Suite 6.0, enterprises can create an optimized cloud environment that has the agility to respond to business requests via sophisticated automation. Innovative partners such as HP recognize this need for intelligent resource management and rely on Moab technology to help their customers further extend the value and return on investment of their cloud infrastructures.” [Disclosure: HP is a sponsor of BriefingsDirect podcasts.]
Self-service projects
Moab Adaptive Computing Suite 6.0 enables organizations to evolve self-service cloud projects into rich, self-optimizing or intelligent workload-driven clouds. Its policy-based cloud intelligence engine works in tandem with existing data center management and resource investments to create an agile cloud environment that responds faster to business requests and automates across IT processes.
Product enhancements include:
- Automatically understanding and managing a mix of application workloads. In addition, the solution automatically initiates live migration of virtual machine workloads to meet service needs and maximize utilization.
- Rapidly automating resource allocation and provisioning and de-provisioning hardware resources via policies to reduce IT cost and management complexity.
- Providing billing or “showback” of resource usage costs to ensure that services are delivered within standards and compliance requirements.
- Aggregating data for rich context to automate initial resource allocation decisions and policy-based actions through integration with other resource managers, data repositories, and identity management systems.
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