application performance

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Published By: IO     Published Date: Dec 31, 2015
The primary focus of any data center is the critical applications that form an enterprise’s business and operational core—its commercial and technical heart. Last-generation facilities, which were often designed using traditional methods created during the mainframe era, simply aren’t capable of handling the requirements of today’s businesscritical applications. Additionally, deploying a data center with inadequate or inappropriate resources, or placing the facility in the wrong location, can negatively impact application performance and, in turn, enterprise success.
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IO
Published By: Hewlett Packard Enterprise     Published Date: Feb 05, 2018
As businesses plunge into the digital future, no asset will have a greater impact on success than data. The ability to collect, harness, analyze, protect, and manage data will determine which businesses disrupt their industries, and which are disrupted; which businesses thrive, and which disappear. But traditional storage solutions are not designed to optimally handle such a critical business asset. Instead, businesses need to adopt an all-flash data center. In their new role as strategic business enablers, IT leaders have the responsibility to ensure that their businesses are protected, by investing in flexible, future-proof flash storage solutions. The right flash solution can deliver on critical business needs for agility, rapid growth, speed-to-market, data protection, application performance, and cost-effectiveness—while minimizing the maintenance and administration burden.
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data, storage, decision makers, hpe
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Feb 05, 2018
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors.
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financial, optimization, hpe, predictive, analytics
    
Hewlett Packard Enterprise
Published By: Pure Storage     Published Date: Jan 12, 2018
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions. Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
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reporting, artificial intelligence, insights, organization, institution, recognition
    
Pure Storage
Published By: CA Technologies     Published Date: Jul 20, 2017
Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
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CA Technologies
Published By: CA Technologies     Published Date: Jul 20, 2017
e-book which lays out the case for machine learning and artificial intelligence for mainframe operational analytics. The mainframe is now part of a highly complex connected ecosystem driving trillions of mobile and web transactions critical to the functioning of the application economy. The emergence of new workloads and apps on the mainframe means that the status quo isn’t enough when it comes to Mainframe management. IT professionals alone – whether mainframe skilled or not – simply can’t keep up with the onslaught of performance alerts, false alarms. Machine learning deliver mainframe intelligence a more proactive and automated approach to handle this challenge.
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CA Technologies
Published By: TE Connectivity     Published Date: Feb 09, 2018
TE Connectivity (TE) high-performance relays, contactors and switches are designed specifically to operate in extremely rigorous environments in military and aerospace applications. Our relay products include COTS (commercial off-the-shelf), Mil-Spec, plus highly specialized, and custom-designed products. These high-performance products are designed to withstand extreme shock, vibration, temperature and altitude.
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TE Connectivity
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Nov 08, 2017
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
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ibm, cloud, cloud computing, database, ibm db2
    
IBM
Published By: IBM     Published Date: Nov 08, 2017
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
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ibm db2, cloud, on-cloud applications, mixed-workload database
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Jan 23, 2018
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
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cloud applications, database, data volume, data availability
    
Group M_IBM Q1'18
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
As enterprises work to replicate the development agility of internet companies and innovate in highly competitive markets, application development has grown increasingly complex. The large, monolithic codebases that traditionally power enterprise applications make it difficult to quickly launch new services. Siloed and potentially distributed development and operations teams present organizational alignment problems. On top of this, users are more demanding than ever – enterprises need to scale effectively and monitor deployments to ensure customers are provided with high performance and a consistent experience. Of course, all this needs to be done while providing always-on service availability.
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microservices, mongodb, optimization, applications, astute
    
AstuteIT_ABM_EMEA
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
À l’heure où les entreprises traditionnelles s’emploient à copier les pionniers d’Internet sur le terrain de l’agilité et de l’innovation, le développement d’applications devient de plus en plus complexe. Tout d’abord, les codes source monolithiques sur lesquels reposent traditionnellement les applications d’entreprise ralentissent le lancement de nouveaux services. Quant au cloisonnement et à la dispersion des équipes opérationnelles et de développement, ils provoquent un manque de coordination des actions de chacun en interne. Et pour couronner le tout, les utilisateurs sont plus exigeants que jamais sur les questions d’expérience et de performance. Les entreprises doivent donc assurer une scalabilité efficace et un suivi attentif de leurs environnements. Le tout, bien entendu, sur fond de disponibilité à 100 % des services.
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AstuteIT_ABM_EMEA
Published By: Oracle     Published Date: Oct 20, 2017
Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security. The SPARC M8 chip contains 32 of today’s most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intel’s x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
The Software in Silicon design of the SPARC M7 processor, and the recently announced SPARC S7 processor, implement memory access validation directly into the processor so that you can protect application data that resides in memory. It also includes on-chip Data Analytics Accelerator (DAX) engines that are specifically designed to accelerate analytic functions. The DAX engines make in-memory databases and applications run much faster, plus they significantly increase usable memory capacity by allowing compressed databases to be stored in memory without a performance penalty. The following Software in Silicon technologies are implemented in the SPARC S7 and M7 processors: Note: Security in Silicon encompasses both Silicon Secured Memory and cryptographic instruction acceleration, whereas SQL in Silicon includes In-Memory Query Acceleration and In-Line Decompression. Silicon Secured Memory is the first-ever end-to-end implementation of memory-access validation done in hardware. It
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Oracle’s software in silicon technology is truly revolutionary for providing security and workload performance increases beyond the scale of traditional new processor technology improvements. It was the vision of Oracle over 4 years ago to integrate application acceleration and security capabilities at the processor level, which enables the highest levels of security and the highest application performance levels. Software in Silicon technology is an example why Oracle software runs best on Oracle systems and will be incorporated across Oracle systems and software products including engineered systems and operating systems.
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most compani
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
This document discusses how to secure applications using Oracle Solaris 11 security and the hardware-assisted cryptography capabilities of Oracle’s SPARC servers. This document explores the end-to-end application security scenarios, technical prerequisites, configuration, deployment, and verification guidelines for multitier application deployments running on Oracle Solaris 11–based SPARC servers. In addition, this document covers the Oracle hardware-assisted cryptographic acceleration of the SPARC processor, a key feature when performance and data protection are deemed critical. The derived security benefits can be leveraged into a variety of solutions including application software, middleware, and infrastructure software.
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security. The SPARC M8 chip contains 32 of today’s most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intel’s x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost
Tags : 
    
Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Your enterprise runs its critical applications on Oracle Databases, and as an enterprise IT leader, maintaining the performance and availability of your databases is among your top priorities. Any degradation in performance or loss of data could result in serious business disruption and loss of revenue, so protecting this vital asset is a must. There are many causes of data loss— administration errors, system or media failures, cyberattacks, and more—but we often overlook design flaws in the very systems meant to protect data: general-purpose backup systems. Many existing data protection solutions fail to meet the demands of critical databases because they treat them as generic files to copy as opposed to specialized resources. Taking a generic approach to database backup and recovery not only exposes you to the risk of data loss, it also negatively impacts performance and makes it difficult to recover within acceptable timeframes.
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Oracle
Published By: Coyote Point Systems     Published Date: Aug 25, 2010
Application Delivery Controllers understand applications and optimize server performance - offloading compute-intensive tasks that prevent servers from quickly delivering applications. Learn how ADCs have taken over where load balancers left off.
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coyote point, systems, slbs, server load balancers, adc, adcs, ssl, load balancing
    
Coyote Point Systems
Published By: ASG Software Solutions     Published Date: May 27, 2009
Application management requires visibility from multiple vantage points within the IT enterprise, combined with a centralized information store that pulls the technology pieces of the application puzzle into a coherent whole.
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asg, cmdb, bsm, itil, configuration management, metadata, metacmdb, lob
    
ASG Software Solutions
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