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Red Hat Advances Cloud-Native Analytics With New Kubernetes-Based Data Services

  • aster.cloud
  • September 24, 2020
  • 4 minute read
Red Hat, Inc., the world’s leading provider of open source solutions, announced the release of Red Hat OpenShift Container Storage 4.5, delivering Kubernetes-based data services for modern, cloud-native applications across the open hybrid cloud. Tightly integrated with Red Hat OpenShift Container Platform, the industry’s leading enterprise Kubernetes platform, Red Hat OpenShift Container Storage 4.5 is designed to help organizations enable a more seamless data services architecture for applications.

In a business like ours, which depends on scale, efficiency, and agility, and in a digital transformation journey that is compelling us to shift towards hybrid cloud solutions, we decided to adopt distributed container storage to place our data where we needed it, when we needed it. The choice we made was Red Hat OpenShift Container Storage. Its agility, scale, and consistency across the infrastructure uniquely supports our forward-thinking DevOps culture, helping Poste Italiane maximize its productivity through speed and flexibility.

MIRKO MISCHIATTICHIEF DIGITAL, TECHNOLOGY AND OPERATING OFFICER, POSTE ITALIANE

Red Hat OpenShift Container Storage is the dynamic persistent storage solution for many services on Red Hat OpenShift Container Platform, such as metrics, logging, and registry. With the recent release of Red Hat OpenShift Virtualization, customers can now host virtual machines and containers on a single, integrated platform which includes Red Hat OpenShift Container Storage. Red Hat OpenShift Container Storage 4.5 provides the added benefits of highly available persistent storage, including shared read-write-many (RWX) block access for enhanced performance and a single, integrated, storage solution for both containers and virtual machines.


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Red Hat Data Services offer cloud-native abstractions to simplify data access and transformation with a consistent user experience across the open hybrid cloud. Built on the underpinnings of Red Hat OpenShift Container Storage, Red Hat Data Services enable deeper collaboration between data providers and consumers for data at rest, in motion, and in action.

Read More  Foundation Releases Virtual Cloud Foundry Summit Europe Schedule, Highlighting Kubernetes Developer Experience, Evolving Ecosystem

Enhanced scalability and resilience for data at rest

The latest version of Red Hat OpenShift Container Storage offers a new external mode deployment option with Red Hat Ceph Storage, which can deliver enhanced scalability of more than 10 billion objects, without compromising performance.

With integrated support for object, file and block storage, Red Hat OpenShift Container Storage 4.5 can support the data types commonly used in container-based applications, all within a single control plane—helping reduce complexity and increasing choice for customers. In addition, the Rook operator for Red Hat Ceph Storage further enhances the manageability of the platform.

Automated, notification-driven architectures for data in motion

Traditional batch data processing architectures can struggle to keep up with today’s demands for instantaneous business insights. Often, data is streaming in from many different points of collection, making it challenging for application and data teams to aggregate and quickly deliver it for downstream consumption.

Red Hat OpenShift Container Storage 4.5 supports integrated Amazon S3 bucket notifications, enabling users to create an automated data pipeline to ingest, catalog, route and process data in real time. With the ability to create notification-driven architectures, and integrated access to Red Hat AMQ Streams and OpenShift Serverless, organizations can realize the efficiency of automated data pipelines.

Integrated agility and collaboration for data in action

Red Hat OpenShift Container Storage 4.5 provides organizations more granular control over the extent to which they can decouple compute from storage, helping support a wide range of workloads from latency-sensitive databases to throughput-oriented, scalable data warehouses and data lakes. Artificial intelligence architectures, focused on inferencing and modeling, can benefit from decoupling, while machine learning architectures can benefit from more tightly coupled storage for high performance data ingest and model training.

Read More  ABB Collaborates With HPE To Reduce Energy Consumption Of Supercomputers

Red Hat OpenShift Container Storage 4.5 is generally available today.

Supporting Quotes

Mike Piech, vice president and general manager, cloud storage and data services, Red Hat

“As organizations continue to modernize cloud-native applications, an essential part of their transformation is understanding how to unlock the power of data these applications are generating. With Red Hat OpenShift Container Storage 4.5, and its unparalleled integration with OpenShift, we’ve taken a significant step forward in our mission to make enterprise data accessible, resilient and actionable to applications across the open hybrid cloud.”

Mirko Mischiatti, chief digital, technology and operating officer, Poste Italiane

“In a business like ours, which depends on scale, efficiency, and agility, and in a digital transformation journey that is compelling us to shift towards hybrid cloud solutions, we decided to adopt distributed container storage to place our data where we needed it, when we needed it. The choice we made was Red Hat OpenShift Container Storage. Its agility, scale, and consistency across the infrastructure uniquely supports our forward-thinking DevOps culture, helping Poste Italiane maximize its productivity through speed and flexibility.”

Nick Patience, founder and research vice president, AI applications and platforms, 451 Research, a part of S&P Global Market Intelligence

“More than 60% of decision makers in our Voice of the Enterprise survey felt data management or data integration features are significant factors in driving AI / ML purchasing decisions. And data preparation can be a time-intensive step in the machine learning process and users are looking for all the help they can get, especially if they are looking at an open source tools approach.”1

Read More  Secrets Management: Essential When Using Kubernetes

1 – 451 Research, a part of S&P Global Market Intelligence – Voice of the Enterprise, AI & Machine Learning, Infrastructure 2020

ABOUT RED HAT

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver reliable and high-performing Linux, hybrid cloud, container, and Kubernetes technologies. Red Hat helps customers integrate new and existing IT applications, develop cloud-native applications, standardize on our industry-leading operating system, and automate, secure, and manage complex environments. Award-winning support, training, and consulting services make Red Hat a trusted adviser to the Fortune 500. As a strategic partner to cloud providers, system integrators, application vendors, customers, and open source communities, Red Hat can help organizations prepare for the digital future.


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Related Topics
  • Kubernetes
  • OpenShift Container
  • Red Hat
  • Red Hat OpenShift
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