Published By: Lenovo UK
Published Date: Oct 01, 2019
Businesses are using hyperconverged infrastructure (HCI) to untangle today’s big IT challenges. HCI can help you accelerate workloads, meet growing storage needs, gain the commercial benefits of hybrid cloud and more – all with easy-to-manage building blocks.
Infrastructure considerations for IT leaders
By 2020, deep learning will have reached a fundamentally different stage of maturity. Deployment and adoption will no longer be confined to experimentation, becoming a core part of day-to-day business operations across most fields of research and industries.
Why? Because advancements in the speed and accuracy of the hardware and software that underpin deep learning workloads have made it both viable and cost-effective. Much of this added value will be generated by deep learning inference – that is, using a model to infer something about data it has never seen before. Models can be deployed in the cloud or data center, but more and more we will see them on end devices like cameras and phones.
Intel predicts that there will be a shift in the ratio between cycles of inference and training from 1:1 in the early days of deep learning, to well over 5:1 by 2020¹. Intel calls this the shift to ‘inference at scale’ and, with inference also taking up
-memory databases have moved from being an expensive option for exceptional analytics workloads, to delivering on a far broader set of goals. Using real-world examples and scenarios, in this guide we look at the component parts of in-memory analytics, and consider how to ensure such capabilities can be deployed to maximize business value from both the technology and the insights generated.
Evaluating an existing HPC platform for efficient AI-driven workloads
The growth of artificial intelligence (AI) capabilities, data volumes and computing power in recent years mean that AI is now a serious consideration for most organizations. When combined with high-performance computing (HPC) capabilities, its potential grows even stronger. However, converging the two approaches requires careful thought and planning. New AI initiatives must align with organizational strategy. Then AI workloads must integrate with your existing HPC infrastructure to achieve the best results in the most efficient and cost- effective way. This paper outlines the key considerations for organizations looking to bring AI into their HPC environment, and steps they can take to ensure the success of their first forays into HPC/AI convergence.
You can migrate live VMs between Intel processor-based servers but migration in a mixed CPU environment requires downtime and administrative hassle
A study commissioned by Intel Corp.
One of the greatest advantages of adopting a adopting a public, private, or hybrid cloud environment is being able to easily migrate the virtual machines that run your critical business applications—within the data center, across data centers, and between clouds. Routine hardware maintenance, data center expansion, server hardware upgrades, VM consolidation, and other events all require your IT staff to migrate VMs. For years, one powerful tool in your arsenal has been VMware vSphere® vMotion®, which can live migrate VMs from one host to another with zero
downtime, provided the servers share the same underlying architecture. The EVC (Enhanced vMotion Compatibility) feature of vMotion makes it possible to live migrate virtual machines even between different generations of CPUs within a given architecture.
Align SIEM and SOAR to accelerate response times and reduce analyst workload.
By integrating the IBM Resilient SOAR Platform with IBM QRadar® Security Intelligence, security teams can build out a market leading threat management solution that covers the detection, investigation and remediation of threats across a wide range of cyber use cases.
Infinidat provides the difference you seek in a data storage solution for media and entertainment organizations. New demands have everyone in the industry feeling the impact of high latency storage and its impact on efficiently delivering speed to market on new and dense workload management. The Infinidat unified storage architecture enables the scale, performance and best overall TCO required to deliver an extreme competitive advantage to media and entertainment companies.
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.
Infinidat has developed a storage platform that provides unique simplicity, efficiency, reliability, and extensibility that enhances the business value of large-scale OpenStack environments. The InfiniBox® platform is a pre-integrated solution that scales to multiple petabytes of effective capacity in a single 42U rack. The platform’s innovative combination of DRAM, flash, and capacity-optimized disk, delivers tuning-free, high performance for consolidated mixed workloads, including object/Swift, file/Manila, and block/Cinder. These factors combine to cut direct and indirect costs associated with large-scale OpenStack infrastructures, even versus “build-it-yourself” solutions. InfiniBox delivers seven nines (99.99999%) of availability without resorting to expensive replicas or slow erasure codes for data protection. Operations teams appreciate our delivery model designed to easily drop into workflows at all levels of the stack, including native Cinder integration, Ansible automation pl
Big Data- und Analytik-Workloads bringen für Unternehmen neue Herausforderungen mit sich. Die erfassten Daten stammen aus Quellen, die vor zehn Jahren noch gar nicht existierten. Es werden Daten von Mobiltelefonen, maschinengenerierte Daten und Daten aus Webseiten-Interaktionen erfasst und analysiert. In Zeiten knapper IT-Budgets wird die Lage zusätzlich dadurch verschärft, dass die Big Data-Volumen immer größer werden und zu enormen Speicherproblemen führen.
Das vorliegende White Paper informiert über die Probleme, die Big Data-Anwendungen für Storage-Systeme mit sich bringen, sowie darüber, wie die Auswahl der richtigen Storage-Infrastruktur Big Data- und Analytik-Anwendungen optimieren kann, ohne das Budget zu sprengen.
I Big Data e gli analytics workloads sono la nuova frontiera per le aziende. I dati vengono raccolti da fonti che non esistevano 10 anni fa. Tutti i dati dei telefoni cellulari, i dati generati dalle macchine e i dati relativi all’interazione con i siti vengono raccolti e analizzati. Inoltre, con i budget IT sempre più sotto pressione, l’impatto ambientale dei Big Data non fa che aumentare e pone grandi sfi de per i sistemi storage.
Questo documento fornisce informazioni sulle problematiche che le applicazioni dei Big Data pongono sullo storage e su come scegliere le più corrette infrastrutture per ottimizzare e consolidare le applicazioni dei Big Data e degli analytics, senza prosciugare le fi nanze.
Lo storage enterprise InfiniBox® fornisce prestazioni migliori rispetto a quelle che si possono ottenere con la tecnologia all flash, un’alta disponibilità su scala multi-petabyte adatta a workload per applicazioni miste. Snapshot a impatto zero e replica active/active migliorano decisamente la business agility, mentre l’encryption data-at-rest certificata FIPS elimina la necessità di cancellare in modo sicuro gli array smantellati. Con InfiniBox, le aziende enterprise IT e i fornitori di servizi cloud possono andare oltre i propri obiettivi di servizio e al contempo abbattere i costi e la complessità delle loro operazioni su scala petabyte.
Published By: Rackspace
Published Date: Nov 06, 2019
Insights into avoiding migration regret amongst CxO’s:
The decision to move business workloads and applications to the cloud impacts all parts of the business and isn’t a decision isolated to the IT team.
Our latest research study on the different motives, concerns and experiences of executive peers and business stakeholders when securing buy-in for a strategic IT move found 97% of C-level executives in ANZ suffered from migration regret during their first cloud migration.
Packed with telling hindsight, over 200 c-suite executives shared their expectations and experiences during the cloud migration journey. They reveal what they would have done differently - namely enhanced communication and a clear plan of action - and offer practical advice to help others get buy-in internally and secure funding to support a move to the cloud.
Cloud migration is consistently one of the top priorities of technology leaders across the world today, but many are overwhelmed by trying to plan their cloud migration, struggling to prioritize workloads and unsure of the cost implications.
Download this white paper to discover the 5 key steps for cloud migration based on the best practices of today’s most successful IT leaders:
- Baseline TCO resources (cloud, on-premises, hybrid)
- Map current on-premises resources to cloud offerings
- Evaluate and prioritize migration strategy
- Calculate migration costs
- Define success metrics
ASG's Business Service PortfolioT (BSPT) Virtualization Management provides comprehensive oversight, inspections, discoveries, warnings, diagnostics, and reporting for the critical technology and administrative disciplines involved in virtual workload management. This is all done in parallel with physical systems management.
Effective workload automation that provides complete management level visibility into real-time events impacting the delivery of IT services is needed by the data center more than ever before. The traditional job scheduling approach, with an uncoordinated set of tools that often requires reactive manual intervention to minimize service disruptions, is failing more than ever due to todays complex world of IT with its multiple platforms, applications and virtualized resources.
A recent survey of CIOs found that over 75% want to develop an overall information strategy in the next three years, yet over 85% are not close to implementing an enterprise-wide content management strategy. Meanwhile, data runs rampant, slows systems, and impacts performance. Hard-copy documents multiply, become damaged, or simply disappear.
There are success stories of businesses that have implemented Business Service Management (BSM) with well-documented, bottom-line results. What do these organizations know that their discouraged counterparts don't?
As organizations expand their cloud footprints, they need to reevaluate and consider who has access to their infrastructure at any given time. This can often be a large undertaking and lead to complex, sprawling network security interfaces across applications, workloads, and containers. Aporeto on Amazon Web Services (AWS) enables security administrators to unify their security management and visibility to create consistent policies across all their instances and containerized environments. Join the upcoming webinar to learn how Informatica leveraged Aporeto to create secure, keyless access for all their users.
Published By: Extensis
Published Date: Mar 07, 2008
The Photography Department at The National Gallery of London wanted to give other Gallery departments better visibility into its archived library of images and reduce the administrative workload for its photographers. Read how Portfolio Server and Portfolio SQL-Connect painted the perfect solution to this challenge.
This book helps you understand both sides of the hybrid IT equation and how HPE can help your organization transform its IT
operations and save time and money in the process. I delve into
the worlds of security, economics, and operations to show you
new ways to support your business workloads.
Discover HPE OneSphere, a hybrid cloud management solution that enables IT to deliver private infrastructure with public-cloud ease. With the proliferation of self-service, on-demand infrastructure, enterprise developers have come to expect infrastructure as a service. However, the constraints of existing infrastructure and tools make this mean heavier workloads for IT teams.
"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. "
Discover why businesses undergoing digital transformation need storage technologies beyond all flash. HPE has just introduced a solution, which will start to ship in calendar 4Q18, that leverages storage-class memory (SCM) and NVMe for HPE's 3PAR and Nimble Storage. This IDC white paper takes a look at the evolving enterprise storage market and which workloads tend to require low latency and very high throughput and bandwidth, and gives a brief overview of one of the first enterprise storage offerings based around these two technologies, HPE Memory-Driven Flash.
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