IBM Spectrum Conductor

Efficiently analyse, access and protect data with an integrated application- and data-optimised platform

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Highlights



Organisations are realising that extracting full value from their data provides a critical competitive advantage. To accelerate business insights from all their data, IT managers are adopting a new generation of scale-out applications, open-source frameworks and container environments such as Apache Spark, Hadoop MapReduce, MongoDB and Cassandra. However traditional IT server configurations, hypervisor environments and storage silos do not work well for these modern applications and frameworks because they are not optimised for distributed computing.

IBM Spectrum Conductor meets this challenge with software defined infrastructure technology designed for distributed environments. IBM Spectrum Conductor is a highly scalable data- and application-optimised fabric that enables organisations to analyse, access and protect their data with maximum efficiency. It speeds deployment and simplifies management across resources while adding enterprise-grade capabilities such as built-in high availability (HA) and optimised utilisation with a global resource manager.

Organisations that are looking to deploy Apache Spark can take advantage of a purpose-built version of the product, IBM Spectrum Conductor with Spark. This enables organisations to deploy Apache Spark efficiently and effectively, supporting multiple versions and instances of Spark, increasing performance and scale, maximising usage resources and eliminating silos of resources that would otherwise each be tied to separate Spark implementations.

IBM Spectrum Conductor offers IT managers and architects a different way of thinking about their infrastructure – one that enables IT to unleash the potential of a new generation of applications.

IBM Spectrum Conductor
Features Benefits
Multi-tenant, integrated application and data platform Eliminates silos while protecting applications and data throughout their lifecycle
Single-pane management and monitoring Simplifies administration across a scale-out, distributed infrastructure
Global, shared data access Helps ensure data is available exactly when needed
Support for containers Leverages containerization technologies such as Docker for increased efficiency
Multidimensional scaling Helps future-proof the data centre with independent scaling of compute and storage infrastructure
Automated storage tiering Reduces storage costs and improves performance
IBM Spectrum Conductor with Spark
Features Benefits
Multi-tenant, integrated application and data platform Eliminates Spark silos while protecting applications and data throughout their lifecycle
Spark integration Includes integrated Spark distribution
Spark lifecycle management Supports simultaneous deployment of different versions of Spark
Single-pane management and monitoring Simplifies administration across a scale-out, distributed infrastructure
Global, shared data access Helps ensure data is available exactly when needed
Multidimensional scaling Helps future-proof the data centre with independent scaling of compute and storage infrastructure
Automated storage tiering Reduces storage costs and improves performance