application infrastructure

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By: NetApp     Published Date: Dec 13, 2013
FlexPod Select with Hadoop delivers enterprise class Hadoop with validated, pre-configured components for fast deployment, higher reliability and smoother integration with existing applications and infrastructure.  These technical reference architectures optimize storage, networking, and servers with Cloudera and Hortonworks distributions of Hadoop. Leverage FlexPod Select with Hadoop to help store, manage, process and perform advanced analytics on your multi-structured data.   Tuning parameters, optimization techniques among other Hadoop cluster guidelines  are provided.
Tags : flexpod with hadoop, enterprise data, storage infrastructure, massive amounts of data
     NetApp
By: IBM     Published Date: Sep 02, 2014
In today’s stringent financial services regulatory environment with exponential growth of data and dynamic business requirements, Risk Analytics has become integral to businesses. IBM Algorithmics provides very sophisticated analyses for a wide range of economic scenarios that better quantify risk for multiple departments within a firm, or across the enterprise. With Algorithmics, firms have a better handle on their financial exposure and credit risks before they finalize real-time transactions. But this requires the performance and agility of a scalable infrastructure; driving up IT risk and complexity. The IBM Application Ready Solution for Algorithmics provides an agile, reliable and high-performance infrastructure to deliver trusted risk insights for sustained growth and profitability. This integrated offering with a validated reference architecture delivers the right risk insights at the right time while lowering the total cost of ownership.
Tags : ibm, it risk, financial risk analytics
     IBM
By: IBM     Published Date: Sep 16, 2015
Building applications for handling big data requires laser-like focus on solutions that allow you to deliver scalable, reliable and flexible infrastructure for fast-growing analytics environments. This paper provides 6 best practices for selecting the “right” infrastructure—one that is optimized for performance, flexibility and long-term value.
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     IBM
By: TIBCO     Published Date: Nov 09, 2015
As one of the most exciting and widely adopted open-source projects, Apache Spark in-memory clusters are driving new opportunities for application development as well as increased intake of IT infrastructure. Apache Spark is now the most active Apache project, with more than 600 contributions being made in the last 12 months by more than 200 organizations. A new survey conducted by Databricks—of 1,417 IT professionals working with Apache Spark finds that high-performance analytics applications that can work with big data are driving a large proportion of that demand. Apache Spark is now being used to aggregate multiple types of data in-memory versus only pulling data from Hadoop. For solution providers, the Apache Spark technology stack is a significant player because it’s one of the core technologies used to modernize data warehouses, a huge segment of the IT industry that accounts for multiple billions in revenue. Spark holds much promise for the future—with data lakes—a storage repo
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     TIBCO
By: IBM     Published Date: Nov 14, 2014
View this series of short webcasts to learn how IBM Platform Computing products can help you ‘maximize the agility of your distributed computing environment’ by improving operational efficiency, simplify user experience, optimize application using and license sharing, address spikes in infrastructure demand and reduce data management costs.
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     IBM
By: IBM     Published Date: Feb 13, 2015
Software defined storage is enterprise class storage that uses standard hardware with all the important storage and management functions performed in intelligent software. Software defined storage delivers automated, policy-driven, application-aware storage services through orchestration of the underlining storage infrastructure in support of an overall software defined environment.
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     IBM
By: Solix     Published Date: Aug 03, 2015
Every CIO want to know if their infrastructure will handle it when data growth reaches 40 zettabytes by 2020. When data sets become to large, application performance slows and infrastructure struggles to keep up. Data growth drives increases cost and complexity everywhere, including power consumption, data center space, performance and availability. To find out more download the Gartner study now.
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     Solix
By: Adaptive Computing     Published Date: Feb 27, 2014
Big data applications represent a fast-growing category of high-value applications that are increasingly employed by business and technical computing users. However, they have exposed an inconvenient dichotomy in the way resources are utilized in data centers. Conventional enterprise and web-based applications can be executed efficiently in virtualized server environments, where resource management and scheduling is generally confined to a single server. By contrast, data-intensive analytics and technical simulations demand large aggregated resources, necessitating intelligent scheduling and resource management that spans a computer cluster, cloud, or entire data center. Although these tools exist in isolation, they are not available in a general-purpose framework that allows them to inter operate easily and automatically within existing IT infrastructure.
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     Adaptive Computing
By: F5 Networks Singapore Pte Ltd     Published Date: Sep 19, 2019
"The fast pace of innovation demanded by today’s digital businesses challenges traditional processes for the deployment and governance of application delivery and supporting infrastructure. To address the increased pace of change, many organizations are transforming by adopting DevOps: a set of practices which employs continuous integration processes, breaking down the silos between development and operations teams. As cycle times accelerate, and development teams adopt more Agile delivery methodologies, the traditional model for application security can be a drag on the speed and agility inherent in a continuous integration process. This creates a natural friction. Security teams can be perceived as slowing down or blocking delivery. At the same time, however, the apps are exposed to significant threats. The goal of continuous integration is to deliver more frequent releases with more new capabilities to market, faster. It’s all about speed."
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     F5 Networks Singapore Pte Ltd
By: Amazon Web Services EMEA     Published Date: Oct 07, 2019
Serverless is the native architecture of the cloud that enables you to shift more of your operational responsibilities to AWS. Serverless technologies let you build applications without thinking about the underlying infrastructure, which increases agility and lowers total cost of ownership.
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     Amazon Web Services EMEA
By: Infinidat EMEA     Published Date: May 14, 2019
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
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     Infinidat EMEA
By: Datastax     Published Date: Sep 27, 2019
Smartphones, smart cities, smart homes, smart cars—IoT has triggered a data explosion, and not every enterprise is prepared to handle it. Beyond collecting and analyzing the increasing volume of data, organizations must figure out how to manage the velocity of that data, as well as how to integrate it with multiple data sources. And that’s just scratching the surface of the IoT challenge. To extract business value out of this inpouring of data, and to take full advantage of IoT boosted by new 5G technology, IT organizations must consider five key technologies. In this ebook, you’ll learn about these five technologies and their benefits. To continue to develop and scale your IoT-driven applications, your infrastructure needs to be able to handle sensor data at velocity, keep data close to the edge, maintain 100% uptime, and make it easy to extract business value. The insights you’ll discover in this ebook will not only help you prepare your organization for this reality; they’ll also
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     Datastax
By: IBM APAC     Published Date: Sep 30, 2019
Digital technology is changing the financial services industry rapidly with automated process, AI insights, customized experiences, new operating models and next generation applications. In such a scenario how should banks innovate and stay ahead of the game? This e-book will provide you the best strategies and recommendations for modernizing your IT infrastructure and operations. You’ll learn how to lead disruption and manage rapid change for your bank, its operations and its customers. Here are the five key takeaways: • Personalize customer experiences by maximizing your data • Borrow strategies from open banking and new business models • Step up your security game • Drive innovation from the inside out • Design an agile infrastructure to support participation in new digital marketplaces Find out more in the e-book.
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     IBM APAC
By: Ahead     Published Date: Aug 27, 2019
Digital Business Demands Better Software, Faster In your organization, you’ve probably heard questions like these asked of the application development and/or infrastructure and operations organizations. > Why can’t our software development teams keep up with new business requirements? > Why are we always waiting on infrastructure teams? > Why do our business initiatives become outdated before their required software is even deployed? > Is our software development team aligned with corporate goals like engaging younger consumers on their mobile devices?
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     Ahead
By: Red Hat     Published Date: Jun 26, 2019
When any organization starts planning for cloud-native applications, it is important to consider the entire time span: from selecting a development platform until an application is truly production-grade and ready for delivery in the cloud. It can be a long journey, with many decisions along the way that can help or hinder progress. For example, at the beginning of a move to cloud-native development, it is easy for inefficiencies to occur if developers begin selecting tools and frameworks before they know where the application will be deployed. While enterprise developers want choice of runtimes, frameworks, and languages, organizations need standards that address the entire application life cycle in order to reduce operational costs, decrease risks, and meet compliance requirements. Organizations also want to avoid lock-in, whether it is to a single provider of cloud infrastructure or the latest architectural style. In addition, given the steep learning curve in cloud development, con
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     Red Hat
By: HPE APAC     Published Date: Jun 20, 2017
This white paper shows IT architects, administrators, and DevOps developers how to deploy Docker hosts and execute containerized applications on bare-metal infrastructure.
Tags : infrastructure, bare--metal infrastructure, it transformation, business opportunities, operations
     HPE APAC
By: HPE APAC     Published Date: Jun 20, 2017
Enterprise IT is in the throes of a fundamental transformation from a careful builder of infrastructure that supports core enterprise applications to a lean and lively developer of business-enabling applications powered by infrastructure. But why is this change happening now at all, and why now? Read this paper to find out more.
Tags : infrastructure, devops, agile, hpe, it transformation, enterprise
     HPE APAC
By: Cisco     Published Date: Dec 20, 2018
Edison has followed the development and use of Cisco’s Application Centric Infrastructure (ACI) over the past five years. Cisco ACI delivers an intent-based networking framework to enable agility in the datacenter. It captures higher-level business and user intent in the form of a policy and translates this intent into the network constructs necessary to dynamically provision the network, security, and infrastructure services.
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     Cisco
By: Cisco     Published Date: Mar 22, 2019
The Secure Data Center is a place in the network (PIN) where a company centralizes data and performs services for business. Data centers contain hundreds to thousands of physical and virtual servers that are segmented by applications, zones, and other methods. This guide addresses data center business flows and the security used to defend them. The Secure Data Center is one of the six places in the network within SAFE. SAFE is a holistic approach in which Secure PINs model the physical infrastructure and Secure Domains represent the operational aspects of a network.
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     Cisco
By: HP AppPulse Mobile     Published Date: Oct 12, 2015
Speed time-to-value, improve end user experience of customer service applications.
Tags : user experience, time-to-value, customer service, applications, infrastructure, saas
     HP AppPulse Mobile
By: Cisco     Published Date: Dec 11, 2018
WAN edge infrastructure is changing rapidly as I&O leaders responsible for networking face dynamic business requirements, including new application architectures and on-premises and cloud-based deployment models. I&O leaders can use this research to identify vendors that best fit their requirements. By year-end 2023, more than 90% of WAN edge infrastructure refresh initiatives will be based on virtualized customer premises equipment (vCPE) platforms or software-defined WAN (SD-WAN) software/appliances versus traditional routers (up from less than 40% today).
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     Cisco
By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Managing infrastructure has always brought with it frustration, headaches and wasted time. That’s because IT professionals have to spend their days, nights and weekends dealing with problems that are disruptive to their applications and organization and manually tune their infrastructure. And, the challenges increase as the number of applications and reliance on infrastructure continues to grow. Luckily, there is a better way. HPE InfoSight is artificial intelligence (AI) that predicts and prevents problems across the infrastructure stack and ensures optimal performance and efficient resource use. "
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     Hewlett Packard Enterprise
By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"In today’s Idea Economy, businesses need to turn ideas into services faster. Every new business and established enterprise is at risk of missing a market opportunity and being disrupted by a new idea or business model. It has never been easier, or more cru cial, to turn ideas into new products, services, or applications —and quickly drive them to market. But IT needs an infrastructure that enables them to partner with the business to speed the delivery of services."
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     Hewlett Packard Enterprise
By: Hewlett Packard Enterprise     Published Date: Apr 26, 2019
"Customers in the midst of digital transformation look first to the public cloud when seeking dramatic simplification, cost, utilization and flexibility advantages for their new application workloads. But using public cloud comes with its own challenges. It’s often not as easy as advertised. And it’s not always possible or practical for enterprises to retire their traditional, on-premises enterprise system still running the company’s most mission-critical workloads. Hybrid IT – a balanced combination of traditional infrastructure, private cloud and public cloud – is the answer. "
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     Hewlett Packard Enterprise
By: Cisco EMEA     Published Date: Nov 13, 2017
In the not so distant past, the way we worked looked very different. Most work was done in an office, on desktops that were always connected to the corporate network. The applications and infrastructure that we used sat behind a firewall. Branch offices would backhaul traffic to headquarters, so they would get the same security protection. The focus from a security perspective was to secure the network perimeter. Today, that picture has changed a great deal.
Tags : malware, ransomware, compromised accounts, malicious insiders, visibility, coverage, data breaches, compliance
     Cisco EMEA
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