Defining a new generation of software-defined infrastructure

Share this post:

IBM has announced the next evolution of its software-defined infrastructure, designed to speed analysis of data and simplify management of distributed environments. The new IBM Spectrum Computing portfolio of intelligent resource and workload management software is built for organizations that use data for competitive advantage and need to extract full value from that data—fast.

Accelerating results for high performance data analytics in the cognitive era

Cognitive, resource-aware scheduling policies help increase the utilization of existing computing resources, controlling costs while speeding results for high-performance computing, big data analytics and cloud-native applications—including those built on open source frameworks such as Apache Spark, Hadoop and NoSQL databases. Traditional IT server configurations, hypervisor environments and storage silos do not work well for these modern scale-out applications and frameworks because they are not optimized for distributed computing. They are optimized for traditional workloads such as email, SQL database applications and data warehouses as well as virtual desktops.  IBM Spectrum Computing is defining a new generation of software-defined infrastructure—one that enables IT to cost-effectively unleash the potential of a new generation of applications.

Solutions in the new IBM Spectrum Computing portfolio include:

  • IBM Spectrum Conductor: Designed to work with new-generation cloud-native applications and open source frameworks, speeds time to results by enabling increasingly complex applications to share resources—all while helping to protect and manage data.
  • IBM Spectrum Conductor with Spark: Simplifies the adoption of Spark, an open source big data analytics framework, while increasing time to insight by as much as 60 percent.
  • IBM Spectrum LSF: Scalable workload management software helps organizations accelerate research, simulation and design while controlling costs. IBM Spectrum LSF 10 provides 5x greater throughput and up to 3x higher scalability than previous Platform LSF versions.

By consolidating scale-out applications to a virtualized compute cluster, grid or cloud, IBM Spectrum Computing software helps reduce wasteful idle server time across traditionally siloed clusters.  Each application receives the resources and data it needs, when it needs them, cutting out or reducing wait times and accelerating results.

Transforming how organizations manage their data and applications

The ultimate aim of a software-defined solution is to accelerate business results while reducing costs.  Achieving this optimized performance and cost efficiency requires an application-aware infrastructure that captures workload requirements, provides policy-based automation across the hybrid cloud and includes flexible reporting and monitoring. IBM Spectrum Computing software delivers on all these capabilities, helping organizations transform the way they manage performance-intensive distributed environments.

Building on IBM’s software defined infrastructure strategy, where workloads are serviced automatically based on business priorities, IBM Spectrum Computing helps organizations to consolidate applications and shared resources across hybrid clouds.

In an era of rapid change and increasing competition, organizations require a smarter infrastructure that is agile, flexible and resilient. Discover how the new IBM Spectrum Computing family can give organizations the competitive advantage they need—don’t miss these informative sessions:

You can learn more about how IBM Spectrum Computing can accelerate your time-to-results while reducing costs here.

More Storage stories

Powerful new storage for your mission-critical hybrid multicloud

Flash storage, Multicloud, Storage

Cloud computing and mainframes processors are two of the most important contributors in information technology solutions. They are increasingly being linked together to unlock value for clients. 85 percent of companies are already operating in multicloud and by 2021, most existing apps will have migrated to the cloud. [1] At the same time, mainframe utilization more

A conversation about metadata management featuring Forrester Analyst Michele Goetz

AI, Big data & analytics, Storage

I recently had an opportunity to speak with Forrester Principal Analyst Michele Goetz following a research study on the subject of metadata management conducted by Forrester Consulting and commissioned by IBM. Michele’s research covers artificial intelligence technologies and consultancies, semantic technology, data management strategy, data governance and data integration, and includes within its scope the more

IBM is transforming data storage for media and entertainment

Data security, Storage, Tape and virtual tape storage

Disruptions in media and entertainment have been occurring at a rapid pace over the past few years and many organizations are still struggling with optimizing their IT infrastructure for new data requirements. With growth in capacity, new larger file formats, keeping more data online for business opportunities, and the growing use of AI, organizations are more