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system performance

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By: IBM     Published Date: May 02, 2017
The growth of virtualization has fundamentally changed the data center and raised numerous questions about data security and privacy. In fact, security concerns are the largest barrier to cloud adoption. Read this e-Book and learn how to protect sensitive data and demonstrate compliance. Virtualization is the creation of a logical rather than an actual physical version of something. such as a storage device, hardware platform, operating system, database or network resource. The usual goal of virtualization is to centralize administrative tasks while improving resilience, scalability and performance and lowering costs. Virtualization is part of an overall trend in enterprise IT towards autonomic computing, a scenario in which the IT environment will be able to manage itself based on an activity or set of activities. This means organizations use or pay for computing resources only as they need them.
Tags : data protection, data security, data optimization, organization optimization, cloud management, virtualization, data center, cloud environment
     IBM
By: Intel     Published Date: Feb 28, 2019
The confluence of AI and Industry 4.0 is transforming image processing. As image vision becomes widespread, there is an increasing need to transition stand-alone imaging to an integrated driver of automation feeding insights back into the business systems that monitor overall factory performance. Download the whitepaper to learn more about fitting multiple demands into a single platform— • Building an industrial system with advanced functions like machine vision and Industry 4.0 connectivity • Minimizing the footprint of the systems to save space, cost and power consumption • Adhering to principles of long life, safety, reliability, real-time control functionality alongside AI and IIOT capabilities
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     Intel
By: TIBCO     Published Date: Nov 11, 2013
The right integration platform lets you extract more value from your ERP system - including improved business performance, increased organizational awareness, and better coordination of processes.
Tags : erp, process coordination, tibco, mobile strategy, integration, technology, best practices, inefficient integration
     TIBCO
By: NetApp     Published Date: Sep 24, 2013
"Storage system architectures are shifting from large scale-up approaches to scale-out of clustered storage approaches. The need to increase the levels of storage and application availability, performance, and scalability while eliminating infrastructure or application downtime has necessitated such an architectural shift. This paper looks at the adoption and benefits of clustered storage among firms of different sizes and geographic locations. Access this paper now to discover how clustered storage offerings meet firms’ key requirements for clustered storage solutions and the benefits including: Non-disruptive operations Secure multi-tenancy Scalability and availability And more"
Tags : storage infrastructure, clustered storage, technology, scalability, application, storage solution, storage
     NetApp
By: NetApp     Published Date: Sep 24, 2013
"Storage system architectures are moving away from monolithic scale-up approaches and adopting scale-out storage – providing a powerful and flexible way to respond to the inevitable data growth and data management challenges in today’s environments. With extensive data growth demands, there needs to be an increase in the levels of storage and application availability, performance, and scalability. Access this technical report that provides an overview of NetApp clustered Data ONTAP 8.2 and shows how it incorporates industry-leading unified architecture, non-disruptive operations, proven storage efficiency, and seamless scalability."
Tags : storage infrastructure, clustered storage, technology, scalability, application, storage solution, non-disruptive operations, storage
     NetApp
By: Keynote     Published Date: Apr 23, 2014
In the world of digital interactions, the margin between success and disengagement or abandonment is measured in milliseconds. With the exploding adoption of advanced smartphones and tablets, you need a mobile-first approach to engaging with customers and employees. And as your mobile initiatives are delivered at increasingly rapid rates, the quality and reliability of the mobile apps, mobile web and connected services that support them has become critically important. For the technology teams delivering customer and employee services in the mobile channel, it is important to understand that performance monitoring solutions which work for the desktop cannot be simply applied to mobile. Managing the mobile end user experience requires an understanding of the challenges posed by the complexities of the mobile environment. This paper will reveal the 4 pillars of mobile performance, plus offer strategies for accurately monitoring mobile end user experience so you can continuously improve.
Tags : mobile application monitoring, mobile application monitoring system, mobile app performance, mobile application performance, app monitoring, monitor mobile applications, web performance monitoring tools, performance monitoring
     Keynote
By: Oracle     Published Date: Apr 29, 2014
It is common belief that automation of existing processes and implementation of an Enterprise Resource Planning (ERP) system can help organizations with their strategic objectives and seamlessly translate into operational excellence. While a modern ERP system certainly provides companies with many benefits, it does not necessarily translate to optimal business performance.
Tags : oracle, policy compliance, erp, enterprise resource planning, business performance, automation, continuous monitoring
     Oracle
By: NetApp     Published Date: Sep 21, 2017
This brief explains SolidFire's solution to the modern data center's struggle that exists between applications and storage, and how it offers a distinct scale-up storage application that intelligently dictates system performance in real time.
Tags : netapp, database performance, flash storage, data management, cost challenges, solidfire
     NetApp
By: NetApp     Published Date: Sep 21, 2017
This white paper is an overview of how SolidFire enables efficient data distribution and management to maximize system capacity without experiencing performance downgrades in an economical manner.
Tags : netapp, database performance, flash storage, data management, cost challenges, solidfire, data
     NetApp
By: OpenText     Published Date: Nov 30, 2015
Download this whitepaper to learn how OpenText’s enterprise-grade, workflow-oriented digital asset management ecosystem gives organizations the necessary combination of performance, security and management control for using digital assets both within their enterprises and in their relationships with customers, partners and prospects.
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     OpenText
By: OnBase by Hyland     Published Date: May 17, 2017
IT sprawl can be a serious roadblock to your organization's future success, as disconnected information systems and multiple applications get in the way of overall performance. Instead, put sprawl in its place by thinking like an urban planner. In the complimentary e-book, learn how to manage growth with a master plan that uses a single enterprise information platform.
Tags : sprawl, application, content, information, management, system, cio, hyland
     OnBase by Hyland
By: Splunk     Published Date: Sep 10, 2018
collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside other tools to help identify trends, issues and relationships not easily observable. Read this e-book to get a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment.
Tags : it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms
     Splunk
By: Splunk     Published Date: Nov 29, 2018
IT organizations struggle with numerous challenges — hybrid environments, lack of visibility during cloud migration, multiple infrastructure monitoring tools, and reliance on manual processes. Yet according to a 2018 global survey, less than half of IT practitioners are confident they can ensure performance and system availability with their current toolset. As a Splunk customer, you understand the power of running your monitoring and logging environment in a machine data platform. Are you utilizing your machine data platform to effectively run APM, infrastructure monitoring and Network performance monitoring and diagnostics? This guide outlines the 8 biggest mistakes IT practitioners make and provides solutions, key takeaways and real-world examples to help you improve IT monitoring and troubleshooting in your organization. Download your copy to learn how to: Achieve end-to-end-visibility throughout cloud migration Find trends and root cause faster with automated investigations
Tags : application performance monitoring, network tools, network monitoring tools, network monitoring software, network monitoring, it monitoring
     Splunk
By: IBM APAC     Published Date: May 14, 2019
If anything is certain about the future, it’s that there will be more complexity, more data to manage and greater pressure to deliver instantly. The hardware you buy should meet today’s expectations and prepare you for whatever comes next. Power Systems are built for the most demanding, data-intensive, computing on earth. Our cloudready servers help you unleash insight from your data pipeline — from managing mission-critical data, to managing your operational data stores and data lakes, to delivering the best server for cognitive computing. With industry leading reliability and security, our infrastructure is designed to crush the most data-intensive workloads imaginable, while keeping your business protected. - Simplified Multicloud - Built-in end-to-end security - Proven Reliability - Industry-leading value and performance
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     IBM APAC
By: Stratoscale     Published Date: Feb 01, 2019
This eBook offers a practical hands-on guide to “Day One” challenges of deploying, managing and monitoring PostgreSQL. With the ongoing shift towards open-source database solutions, it’s no surprise that PostgreSQL is the fastest growing database. While it’s tempting to simply compare the licensing costs of proprietary systems against that of open source, it is both a misleading and incorrect approach when evaluating the potential for return on investment of a database technology migration. An effective monitoring and logging strategy is critical for maintaining the reliability, availability, and performance of database environments. The second section of this eBook provides a detailed analysis of all aspects of monitoring and logging PostgreSQL: ? Monitoring KPIs ? Metrics and stats ? Monitoring tools ? Passive monitoring versus active notifications
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     Stratoscale
By: Pure Storage     Published Date: Jul 18, 2017
OTS' experiences with all-flash technology mirror what many customers have experienced over the past several years. Hesitatingly optimistic, OTS deployed its first AFA in a limited environment to prove the system out, and when it performed and/or exceeded the company's expectations, it quickly started moving more workloads to it over time. Like OTS, many customers do not immediately retire their legacy storage, but in moving the more demanding workloads off of their existing environments, they provide better application performance both for those applications on the AFA and for those that stay on the legacy storage. And like OTS, the majority of AFA customers have in the past year in particular come to the conclusion that all-flash technology is the future of primary storage for performance, reliability, ease of management and expansion, and economic (as measured by total cost of ownership) reasons.
Tags : external storage systems, flash arrays, scale-up, scale-out, managing it infrastructure, data center, idc, market intelligence
     Pure Storage
By: Pure Storage     Published Date: Jul 26, 2017
OTS' experiences with all-flash technology mirror what many customers have experienced over the past several years. Hesitatingly optimistic, OTS deployed its first AFA in a limited environment to prove the system out, and when it performed and/or exceeded the company's expectations, it quickly started moving more workloads to it over time. Like OTS, many customers do not immediately retire their legacy storage, but in moving the more demanding workloads off of their existing environments, they provide better application performance both for those applications on the AFA and for those that stay on the legacy storage. And like OTS, the majority of AFA customers have in the past year in particular come to the conclusion that all-flash technology is the future of primary storage for performance, reliability, ease of management and expansion, and economic (as measured by total cost of ownership) reasons.
Tags : external storage systems, flash arrays, scale-up, scale-out, managing it infrastructure, data center, idc, market intelligence
     Pure Storage
By: Pure Storage     Published Date: Apr 10, 2019
This document describes the technical reasons for and benefits of an end-to-end training system and why the Pure Storage® FlashBlade™ product is an essential platform. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and Pure FlashBlade, a scale out, high performance, dynamic data hub for the entire AI data pipeline.
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     Pure Storage
By: NetApp     Published Date: Feb 19, 2015
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate. In this lab evaluation, NetApp commissioned Demartek to evaluate the effectiveness of Flash Pool with different types and numbers of hard disk drives using an online transaction processing (OLTP) database workload, and to evaluate the performance of Flash Pool in a clustered Data ONTAP environment during a cluster storage node failover scenario. In the report, you’ll dis cover how Demartek test engineers documented a 283% gain in IOPS and a reduction in latency by a factor of 66x after incorporating NetApp Flash Pool technology.
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     NetApp
By: IBM     Published Date: Jul 06, 2017
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. In many cases, these systems are no longer up to the task—so it’s time to make a decision. Do you use more staff to keep up with the fixes, patches, add-ons and continual tuning required to make your existing systems meet performance goals, or move to a new database solution so you can assign your staff to new, innovative projects that move your business forward?
Tags : database, growth, big data, it infrastructure, information management
     IBM
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.
Tags : database, applications, data availability, cognitive applications
     Group M_IBM Q1'18
By: IBM     Published Date: Apr 03, 2018
Can your database systems handle data growth and keep up with performance requirements? Here are six reasons to change.
Tags : database systems, data management, hybrid data
     IBM
By: Oracle     Published Date: Jan 28, 2019
Oracle Private Cloud Appliance is a converged infrastructure system designed for rapid and simple deployment of private cloud at an industry-leading price point. Whether customers are running Linux, Microsoft Windows or Oracle Solaris applications, Oracle Private Cloud Appliance supports consolidation for a wide range of mixed workloads in medium-to-large sized data centers. High-performance, low-latency Oracle Fabric Interconnect and Oracle SDN allow automated configuration of the server and storage networks. The embedded controller software automates the installation, configuration, and management of all infrastructure components at the push of a button. Customers need to enter only basic configuration parameters and create virtual machines (VMs) manually or by using Oracle VM Templates to get a full application up and running in a few hours. With Oracle Enterprise Manager, the Oracle Private Cloud Appliance is transformed into a powerful private cloud infrastructure that integrates
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     Oracle
By: Teradata     Published Date: Jun 12, 2013
Until now, huge amounts of data have been ignored or underutilized simply because the tools didn't exist to make sense of it all. The good news is that increasingly sophisticated software is combining with growing computing horsepower to produce new analytics platforms that can handle all types of data from disparate systems Organizations can extract intelligence from their data to significantly outperform their rivals on growth, earnings, and performance.
Tags : unified data architecture, big data, analytics
     Teradata
By: Scalebase     Published Date: Mar 08, 2013
Learn how Mozilla is able to cost-effectively scale out their new Firefox mobile operating system App Store (running MySQL) to an infinite number of users, while increasing performance.
Tags : mozilla, scalebase, performance, app store, increasing performance, infinite number of users, increasing performance, shard
     Scalebase
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