For example, in an application such as fraud analytics, spikes often occur when processing large amounts of data. The data frequently includes unstructured data from social sources, as well as transactional history. A software-defined environment enables the business to allocate compute and storage resources automatically to meet peak demand and to prevent degradation in performance.
Three steps to a software-defined environment
A software-defined environment can't be built in a day. Organizations must develop the architecture over time, step by step. The three most important steps are mandating an open approach to virtualization, creating policies to optimize the infrastructure, and enabling the elastic scale of data.
1. Open virtualization. Opening up hardware capabilities through defined APIs that integrate into open frameworks such as OpenStack is the first step toward building an agile, responsive, and flexible IT infrastructure. A software-defined environment starts with a virtualized data center that includes compute, storage, and networking resources built on open interfaces and an integrated framework. Open interfaces increase the speed of domain integration, break down silos of expertise, and offer organizations choice. Building software-defined offerings based on open standards enables choice, flexibility, and interoperability across the data center.
2. Policy optimization and elastic scaling. Organizations need to enhance infrastructure automation with a policy manager that ensures adherence to ongoing service-level agreements -- and responds to changing workload demands in real time. Organizations also need to have extensive capability to automate resources at the compute layer and integrate this optimization with the storage layer. In the storage arena, organizations need the ability to store and share large amounts of structured and unstructured data across their data centers quickly, reliably, and efficiently. A high-performance enterprise file management platform that includes a clustered file system brings together the power of multiple file servers and multiple storage controllers to provide increased reliability and performance.
3. Application-aware infrastructure. Once organizations have established an elastic, scalable infrastructure, they can start applying new methods to define their workloads in terms of components (such as application servers and databases) and infrastructure (firewalls, virtual machines, and storage). They can also define the policies that govern deployment and optimization of these resources. Products that use best practices to create these patterns and automate these manual processes exist in the market today, and additional development is under way to extend more freedom of action to developers and better manage the lifecycle of defined patterns.
Serving the needs of modern business
The ultimate goal of the software-defined environment is to yield an application-aware infrastructure that captures workload requirements and deployment best practices, provides policy-based automation across data center environments, and includes analytics to optimize in real time.
In an era of rapid change and increasing competition, organizations need a smarter infrastructure that's agile and flexible in order to be successful. Intelligent resource scheduling, elastic data scaling, and automation of best practices are crucial to moving from static, legacy infrastructure to application-aware infrastructure. Once built, a software-defined environment simplifies business operations, makes businesses more responsive to market changes, and maximizes business outcomes.
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