cluster

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By: DataCore     Published Date: Jun 06, 2019
With so many moving pieces involved in business continuity and disaster recovery planning, anticipating the downstream impact of new SAN arrays, hyperconverged systems, and disaster recovery site relocation is increasingly more difficult. Learn how DataCore™ SDS services help you adapt your safeguards accordingly in the face of these common initiatives and business challenges: - Storage Array Replacement - Mergers and Acquisitions - Cloud Replication - Hyperconverged Infrastructure - Multi-Site Metro Cluster
Tags : business continuity, disaster recovery, data protection, software defined storage, virtualization, storage, downtime, high availability, replication, storage infrastructure, cloud, hyperconverged
     DataCore
By: Avi Networks     Published Date: Mar 06, 2019
OpenShift-Kubernetes offers an excellent automated application deployment framework for container-based workloads. Services such as traffic management (load balancing within a cluster and across clusters/regions), service discovery, monitoring/analytics, and security are a critical component of an application deployment framework. Enterprises require a scalable, battle-tested, and robust services fabric to deploy business-critical workloads in production environments. This whitepaper provides an overview of the requirements for such application services and explains how Avi Networks provides a proven services fabric to deploy container based workloads in production environments using OpenShift- Kubernetes clusters.
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     Avi Networks
By: IBM APAC     Published Date: Mar 06, 2019
Achieve superior control and performance across multicloud environments with IBM Multicloud Manager. With a multicloud strategy, it can become time-consuming, expensive and difficult to manage environments as you contend with scattered visibility, security and workloads across multiple Kubernetes clusters and clouds. IBM Multicloud Manager integrates all your environments in a single view that gives you optimal control over how you see, govern and automate everything.
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     IBM APAC
By: Loodse     Published Date: Feb 06, 2019
Customers began to approach hosting provider SysEleven about running containers and using container orchestration. To offer their customers the highest quality services for which they are known, they sought an easy to use container orchestra- tion solution. SysEleven chose to partner with Loodse to create MetaKube, a white label of Loodse’s Kubermatic Container Engine, giving their customers Kubernetes clusters in one click. Simon Pearce, MetaKube Team Lead and Systems Architect at SysEleven, explains why they chose Kubermatic to run Kubernetes in their data centers.
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     Loodse
By: Xtreme-D     Published Date: Feb 04, 2019
Download the full paper to learn more about how XTREME-Stargate offers a “super head node” for HPC cloud clusters
Tags : hpc, high performance computing, clusters, clustering, hybrid cloud, data center, iaas
     Xtreme-D
By: Lenovo - APAC     Published Date: Jan 23, 2019
Headquartered in Chicago, Bean Suntory owns over 70 premium spirit brands from whiskey and rum, to vodka, cognac, tequila, and gin. Beam Suntory generates $4 billion in annual revenues. But that revenue was in danger. The company’s production software, Wonderware, which controls embedded systems driving almost every critical production process, was underpinned by ageing hardware. If it failed, production would come to a grinding—and expensive—halt.Every hour of downtime results in lost production, which can amount to millions of dollars in losses,” says Sanjay Kirtikar, Director Digital Technologies, Beam Suntory. To ensure Wonderware never failed, Beam Suntory implemented hyperconverged clusters integrated with Nutanix Enterprise Cloud Platform software The results were instant and outstanding. Beam Suntory expects a 25-35% cost benefit from lower support and maintenance efforts, and a 50% reduction in power usage.
Tags : lenovodcg, nutanix, hyperconvergedinfrastructure, hci
     Lenovo - APAC
By: Datastax     Published Date: Dec 27, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
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     Datastax
By: Infosys     Published Date: Dec 03, 2018
Data is a truly inexhaustible resource for an organization. It creates endless possibilities to make data do more. As a technology partner of hundreds of organizations around the world, Infosys helps clients navigate the journey from their current state to the next. Facilitating clients’ transition into data-native enterprises is a crucial part. To understand how companies are using data analytics today and their expectations in a world of endless possibilities with data, we recently commissioned an independent survey of 1,062 senior executives from organizations with annual revenues exceeding US$ 1 billion, in the United States, Europe, Australia, and New Zealand. The respondents were from business and technology roles, who were decision makers, program managers and external consultants; represented 12 industries, grouped into seven industry clusters, such as, consumer goods, retail and logistics, energy and utilities, financial services and insurance, healthcare and life sciences, h
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     Infosys
By: AWS     Published Date: Nov 14, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources. This e-book aims to provide you with expert tips on how to use Amazon Redshift Spectrum to increase performance and potentially reduce the cost of your queries.
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     AWS
By: DataStax     Published Date: Nov 02, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
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     DataStax
By: Datastax     Published Date: Nov 02, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
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     Datastax
By: Infosys     Published Date: Sep 24, 2018
Did you know that majority of the respondents in a recent survey identified digital skillset (57%), senior leadership commitment (50%), and change management (42%) areas as the most important success factors for digital transformation? Infosys commissioned an independent survey of over 1,000 senior management level executives from organizations with annual revenues over US$ 1 billion to understand the impact of digital disruption on their organizations and how they were dealing with it. Three clusters emerged from the survey findings, based on the business objectives behind their digital transformation initiatives- Visionaries, Explorers, and Watchers. The survey provides valuable insights into how organizations can evolve from being watchers and explorers to visionaries. Key findings from the report that you can use to charter your digital future: Visionaries target higher order business objectives, such as new business models and culture, from digital transformation, while explore
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     Infosys
By: Quantum Corporation     Published Date: Sep 11, 2018
Virtualization is rapidly changing the way business IT operates, from small local businesses to multinational corporations. If you are reading this, chances are good that your company is already taking advantage of virtualization’s benefits. Virtualization means that a single underlying piece of hardware, such as a server, runs multiple guest operating systems to create virtual machines, or VMs, with each of them being oblivious to the others. An administrative application, such as VMware, manages the sharing process, allocating hardware resources, memory, and CPU time to each VM as needed. And all applications look at this software construct exactly as if it were a real, physical server — even the VM thinks it’s a real server! Virtualization makes good financial sense. It enables a single server to offer multiple capabilities that otherwise would require separate servers. It includes native high availability features, so you don’t have to use any more complex clustering tools. This ab
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     Quantum Corporation
By: AWS     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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     AWS
By: Amazon Web Services     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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     Amazon Web Services
By: Datastax     Published Date: Aug 28, 2018
With DataStax Enterprise 6 (DSE 6), we upped the bar substantially for us, our partners, our customers, and our competitors. We also came out and said that DSE 6 was twice as fast as open source Apache Cassandra™, and now, we have a third-party validation of this claim. Read this benchmark report from zData to get the results of their test of DSE 6 against Cassandra, for which they ran a different series of workloads on an AWS-built cluster.
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     Datastax
By: Datastax     Published Date: Aug 27, 2018
With DataStax Enterprise 6 (DSE 6), we upped the bar substantially for us, our partners, our customers, and our competitors. We also came out and said that DSE 6 was twice as fast as open source Apache Cassandra™, and now, we have a third-party validation of this claim. Read this benchmark report from zData to get the results of their test of DSE 6 against Cassandra, for which they ran a different series of workloads on an AWS-built cluster.
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     Datastax
By: Datastax     Published Date: Aug 27, 2018
With DataStax Enterprise 6 (DSE 6), we upped the bar substantially for us, our partners, our customers, and our competitors. We also came out and said that DSE 6 was twice as fast as open source Apache Cassandra™, and now, we have a third-party validation of this claim. Read this benchmark report from zData to get the results of their test of DSE 6 against Cassandra, for which they ran a different series of workloads on an AWS-built cluster.
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     Datastax
By: Datastax     Published Date: Aug 15, 2018
With DataStax Enterprise 6 (DSE 6), we upped the bar substantially for us, our partners, our customers, and our competitors. We also came out and said that DSE 6 was twice as fast as open source Apache Cassandra™, and now, we have a third-party validation of this claim. Read this benchmark report from zData to get the results of their test of DSE 6 against Cassandra, for which they ran a different series of workloads on an AWS-built cluster.
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     Datastax
By: Datastax     Published Date: Aug 03, 2018
With DataStax Enterprise 6 (DSE 6), we upped the bar substantially for us, our partners, our customers, and our competitors. We also came out and said that DSE 6 was twice as fast as open source Apache Cassandra™, and now, we have a third-party validation of this claim. Read this benchmark report from zData to get the results of their test of DSE 6 against Cassandra, for which they ran a different series of workloads on an AWS-built cluster.
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     Datastax
By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"The Enterprise Strategy Group put HPE SimpliVity hyperconverged infrastructure through its paces in a series of hands-on performance and stress tests simulating real-world configurations and load conditions. Read this report to learn how an HPE SimpliVity infrastructure: Ran nine workloads simultaneously, with an average response time across all applications of 3.9ms Showed little to no performance impact as a virtual controller, drive, and node were systematically failed on a two-node cluster."
Tags : hyperconverged, infrastructure, simplivity
     Hewlett Packard Enterprise
By: DellEMC and Toshiba SSDs     Published Date: Jul 04, 2018
Dell EMC provides VMware vSAN Ready Nodes that combine a wide range of Dell hardware and VMware vSAN software into a ready-to-order package. These include the new single-socket Dell EMC PowerEdge R7415 servers powered by the AMD EPYC 7000-series processors. These Dell EMC vSAN Ready Nodes are validated and configured to meet hyper-converged workload needs while taking advantage of lower single-socket licensing costs from VMware. Dell commissioned Demartek to evaluate the performance of the new Dell EMC PowerEdge R7415 servers that use the AMD EPYC 7000-series of processors. Mixed enterprise workloads were run in this VMware vSAN cluster using one model of the AMD EPYC processor in each of three identical nodes. Then the tests were repeated using different models of AMD EPYC processors in the vSAN cluster nodes.
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     DellEMC and Toshiba SSDs
By: BlackBerry Cylance     Published Date: Jul 02, 2018
The information security world is rich with information. From reviewing logs to analyzing malware, information is everywhere and in vast quantities, more than the workforce can cover. Artificial intelligence (AI) is a field of study that is adept at applying intelligence to vast amounts of data and deriving meaningful results. In this book, we will cover machine learning techniques in practical situations to improve your ability to thrive in a data driven world. With clustering, we will explore grouping items and identifying anomalies. With classification, we’ll cover how to train a model to distinguish between classes of inputs. In probability, we’ll answer the question “What are the odds?” and make use of the results. With deep learning, we’ll dive into the powerful biology inspired realms of AI that power some of the most effective methods in machine learning today. Learn more about AI in this eBook.
Tags : artificial, intelligence, enterprise
     BlackBerry Cylance
By: Tripp Lite     Published Date: May 15, 2018
As wattages increase in high-density server racks, providing redundant power becomes more challenging and costly. Traditionally, the most practical solution for distributing redundant power in 208V server racks above 5 kW has been to connect dual 3-phase rack PDUs to dual power supplies in each server. Although this approach is reliable, it negates a rewarding system design opportunity for clustered server applications. With their inherent resilience and automated failover, high-availability server clusters will still operate reliably with a single power supply in each server instead of dual power supplies. This streamlined system design promises to reduce both capital expenditures and operating costs, potentially saving thousands of dollars per rack. The problem is that dual rack PDUs can’t distribute redundant power to a single power supply. An alternative approach is to replace the dual PDUs with an automatic transfer switch (ATS) connected to a single PDU, but perfecting an ATS tha
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     Tripp Lite
By: Pure Storage     Published Date: Mar 15, 2018
This white paper discusses a new active/active stretched cluster technology that allows companies of all sizes to achieve the highest levels of business continuity without the costs and complexities that have typically marked this type of deployment in the past.
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     Pure Storage
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