In order to anticipate new customer preferences, outpace the competitors and respond to dynamic events in the marketplace, organizations must design a New IT Infrastructure that is simplified, responsive and adaptive! It’s time to Re-architect the IT infrastructure. It’s time for a Software Defined Environment (SDE), that deliver accelerated responsiveness to unanticipated market changes, faster time to production for new IT services and rapid time to value for new customer offerings. The SDE is cloud-focused and built on Open standards and enable organizations to simplify by providing centralized management of heterogeneous IT resources, better visibility of information across business function and the ability to deliver services anywhere over any device. To implement a well-organized Software Defined Environment, you need a roadmap, a plan, and a way forward. IBM brings to you four incremental steps to help create an agile and efficient Software Defined Environment:
Virtualization is the primary need for organizations today. While many clients have virtualized their server resources, they haven't progressed to the point where they have fully virtualized across their data center to include storage or networking. According to the recent IBM study of virtualization with our enterprise clients, only 30% of the clients surveyed have virtualized storage and 15% have virtualized networking on a wide scale. The reason why clients haven't virtualized across technology silos of server, storage, and networking, because of the lack of common framework. Implementing Open virtualization will speed the integration, break down the data center silos, offer choice to clients while virtualizing every element of data center including server, storage and networking with a common framework. IBM is investing in open standards through our leadership in communities such as OpenStack for infrastructure management and Cloud, our recently announced OpenPOWER consortium, OpenDaylight for networking, and the Open Virtualization Alliance and oVirt for virtualization.
Elastic scaling includes elastic data scaling and elastic transaction scaling. Clients need the ability to elastically scale data on demand across their data center infrastructure. Based on real time events Clients can build this scalable infrastructure today with products like IBM's General Parallel File System (GPFS) that support massive volumes and scale of data growth. While IBM GPFS establishes the necessary base for data, client needs then move to delivering these new user analytics and engagement workloads. We call the infrastructure to scale these transactions, Elastic Transaction Scaling. IBM's Platform Computing portfolio contains a comprehensive set of intelligent, policy-driven scheduling features that enables clients to take full advantage of their infrastructure resources through a highly scalable and available architecture.
Policy based optimization
After establishing an elastic storage and transaction architecture, clients can start applying new policy based optimization across domains to define their workloads. Over time, as workload usage patterns emerge and these patterns can be captured and reused to automate the IT infrastructure as demand for the workloads scales up and down over time. Majority of this happens through manual, human intervention for most of the clients today. IBM provides proven expertise through our Smart Cloud family of products to use best practices to create these patterns and automate these manual processes today. We are also working with our partners across the IT industry to define an open, standard language for these best practices that can be leveraged across the domains.
In an Application-aware infrastructure, clients really begin to evolve to maximize their IT infrastructure with innovation. In this phase of progression, the workloads will be positioned with a set of service level objectives and policies. This additional information will be managed by the Software Defined Environment and resources automatically adapt to deliver the best outcomes for the group of dynamic workloads. This is achieved by using the patterns which define the workload policies and service level objectives. The infrastructure uses these objectives in order to maintain continuous optimization of the workloads. Real time analytics predict the best outcome based on the different ways which infrastructure can be assigned to the workloads, so that the highest priority workloads always achieve the service levels they need. IBM already has many pieces of this technology today in our portfolio and we are constantly investing to build more for our broad set of clients. The differentiating point between us and our competition is that we are tying these components together with a foundation based on open standards. This will give clients access to software defined technology across their ecosystem of vendors while allowing more flexibility and freedom of choice.
Each of these stages is built on top of intelligent resource scheduling that automates the process of optimizing the IT infrastructure. To learn more, I encourage you to visit Software Defined Environments Solution Brief and build this roadmap to success even stronger!
IBM Systems and Technology Group