Cloud-focused software developers could be given a helping hand in terms of managing their application's place inside any given datacenter virtualization engine by virtue of developments emanating from CiBRA.
- The Essential Guide to IT Transformation
- Consolidation: The Foundation for IT Business Transformation
- Catch the Security Breach Before It’s Out of Reach
- Big Data and Customer Interaction Analytics: How To Create An Innovative Customer Experience
The capacity transformation and control software company recently released CiRBA Version 7.2 for virtual and cloud infrastructures. This software is capable of analyzing infrastructures ahead of cloud app migrations to visualize the impact of both hardware and software related changes on running environments, both now and in the future.
Users drag-and-drop existing VMs and hosts onto new target platforms or environments to assess the suitability and impact of a change — transformation analytics are also available through a management console.
CiRBA CTO and cofounder Andrew Hillier says that as the push toward cloud operational models is intensifying, developers are starting to recognize the importance of self-service capacity planning tools.
"Self service is important, but perhaps even more important is the standardization that cloud models bring, both from a capacity perspective and a configuration perspective. But this benefit is also one of the biggest challenges, and migrating existing physical and virtual workloads into clouds can be complex and time-consuming without the right analytics. CiRBA's Dynamic Transformation Planning is an intuitive mechanism to perform comprehensive analysis of the technical, business, and operational factors that govern if, when, and how workloads can be moved to the cloud," said Hillier.
So CiRBA's Control Console works for cloud development teams looking to manage and control capacity in virtual and cloud environments. It provides "current and predicted views" of infrastructure requirements according to both policy and utilization requirements.
The console enables users to take action and automate its recommendations for optimal VM placements, allocations, and capacity decisions in order to reduce infrastructure requirements by 40-70%.
Developer requirements planning and provisioning also gets additional tools here as CiRBA Version 7.2 enhances its capacity control capabilities with the introduction of a new Storage Sensor that when activated provides visibility into used and provisioned datastore capacity status for VMware environments.
Users can see which VMs and hosts rely on a particular datastore to understand the impact of shortfalls and can also reserve capacity within the datastores for new VMs coming online through its Bookings capability, giving visibility into future demand for storage.