Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. 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 FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
Discover why ninety-four percent of organizations surveyed are already modifying, overhauling, or reassessing their network infrastructure to facilitate application delivery in hybrid- and multi-cloud environments.
Read this e-book to learn why you should re-architect your network infrastructure to optimize application delivery:
1. Ensure end-to-end network visibility for your operations
2. Gain real-time analytics for application optimization and uptime
3. Scale your application infrastructure according to workload demand
Read the e-book today to find out all six must-haves for application delivery in the cloud.
Web applications are valuable tools for businesses of all sizes. These applications enable businesses to communicate with customers, prospects, employees, partners, and other information technology (IT) systems. By definition, web applications must be open, interactive, and accessible at all times.. This report, authored by Frost & Sullivan analysts, takes a comprehensive look at the current Web Application Firewall (WAF) vendor landscape and analyzes the current web application threat landscape and how vendors will scale to face it.
The demands on IT today are staggering. Most organizations depend on their data to drive everything from product development and sales to communications, operations, and innovation. As a result, IT departments are charged with finding a way to bring new applications online quickly, accommodate massive data growth and complex data analysis, and make data available 24 hours a day, around the world, on any device. The traditional way to deliver data services is with separate infrastructure silos for various applications, processes, and locations, resulting in continually escalating costs for infrastructure and management. These infrastructure silos make it difficult to respond quickly to business opportunities and threats, cause productivity-hindering delays when you need to scale, and drive up operational costs.
Published By: Oracle CX
Published Date: Oct 20, 2017
Oracle’s new cloud platform, included a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics.
Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in memory and can prevent hacking explo
Published By: Oracle CX
Published Date: Oct 20, 2017
On Thursday June 30th, we announced Oracle’s new cloud platform, including a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics.
Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in
Why Read This Report
The demand for databases is on the rise as organizations build next-generation business applications. NoSQL offers enterprise architecture (EA) pros new choices to store, process, and access new data formats, deliver extreme web-scale, and lower data management costs. Forrester’s 26-criteria evaluation of 15 big data NoSQL solutions will help EA pros understand the choices available and recommend the best for their organization.
This report details our findings about how each vendor fulfills our criteria and where they stand in relation to each other to help EA.
A fundamental people-process-technology transformation enables businesses to remain
competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection
services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality
experience, machine and deep learning, and cognitively enabled applications drive superior
business outcomes such as predictive marketing and maintenance.
Superior business outcomes require businesses to consider IT a core competency. For IT, an
agile, elastic, and scalable IT infrastructure forms the crucial underpinning for a superior service
delivery model. The more up to date the infrastructure, the more capable it is of supporting the
scale and complexity of a changing application landscape. Current-generation applications must
be supplemented and eventually supplanted with next-generation (also known as cloud-native)
applications — each with very different infrastructure requirements. Keeping infrastructure up
Published By: Riverbed
Published Date: Jul 17, 2013
Retail company, Media Markt, deployed Riverbed Cascade® for complete network and application visibility. Media Markt also implemented a WAN optimization solution from Riverbed which reduced backups from hours to minutes. Media Markt has recently opened up retail stores in China and plans to open up many more across the country. The Riverbed solutions will enable the company to quickly and easily identify and fix problems across its network and scale its backup systems without compromising data backup speeds.
The concept of distributed commerce, the ability for consumers to buy on any Internet-connected device or application, could have a profound impact on retail. As a result, integrating new means of engagement and commerce – quickly and at scale – is vital. In this whitepaper from Salesforce Commerce Cloud, formerly Demandware, you’ll see how every touchpoint is a transaction and how retailers can adapt. Download now!
If you work in IT, you can’t escape the buzz about containers. Containers are a lightweight way of building and deploying applications as a set of composable microservices that abstract away the underlying infrastructure.
As containers and microservices become more mainstream, you need to understand the path to adoption, and which tools come into play.
Download this guide to get an introduction to containers, explore their value, and see how configuration management applies to containers. We also discuss how to:
• Adopt and scale containers faster.
• Move existing services to containers.
• Eliminate the friction between development, QA, and production environments.
Have you started moving to the cloud? Nearly 70 percent of organizations have at least one application living in the cloud already, and cloud adoption is growing fast. That's because organizations recognize the cloud is a great way to make IT more agile and helpful to the business.
Download Cloud-Scale Automation with Puppet, and learn how you can ease the transition to cloud, gaining the agility your organization needs without adding hours of management time or unnecessary risk. You really can use cloud infrastructure as easily as you use on-prem, and keep it as secure as on-prem, too.
You’ll learn how to:
• Automate your cloud resources and manage infrastructure at scale.
• Get started with Puppet on both Linux and Windows machines.
• Make Puppet the foundation of your DevOps efforts, regardless of where you choose to deploy.
Despite talented IT teams and years of head start in both architectural and development work, it is still difficult to respond to these challenges using traditional development patterns centered around monolithic software applications. It’s simply impossible to get to market quickly when applications need to be maintained, modified and scaled as a single entity by a large, heavily inter-dependent team.
These challenges stem from an increased focus on agility and scale for building modern applications—and traditional application development methodology cannot support this environment.
CA Technologies has expanded full lifecycle API management to include microservices—an integration enabling the best of breeds to work together to provide the platform for modern architectures and a secure environment for agility and scale. CA enables enterprises to use best practices and industry–leading technology to accelerate and make the process of architecture modernization more practical.
As enterprises become more distributed and migrate applications to the cloud, they will need to diversify
their network performance management solutions. In particular, the network operations team will need to
complement its packet-based monitoring tools with active test monitoring solutions to enhance visibility into
the cloud and help enterprises scale monitoring gracefully and cost-effectively.
To find out how new applications and virtualized environments are driving the need for increased bandwidth and network scale, download our Report on the 10GbE data center. Read how scalability is fuelling the need for 10GbE networks.
Published By: Red Hat
Published Date: Jun 23, 2016
FICO, a data analytics software company, wanted to diversify into new markets its core offering of providing on-premise software to major corporations. To do this, the company launched FICO Analytic Cloud, a cloud delivery channel that enables FICO to serve organizations of all sizes. FICO Analytic Cloud was first launched in 2013 and provides Platform-as-a-Service (PaaS) access to FICO Decision Management Platform, which allows customers to use FICO tools and technology to create, customize, and deploy applications and services. FICO Decision Management Platform is built on OpenShift Enterprise by Red Hat, which provides the PaaS tools and support FICO needed to rapidly scale the platform and Analytic Cloud.
Global DNS performance and availability are critical to user experience. According to Gartner, “DNS is mission-critical to all organizations that connect to the internet. DNS failure or poor performance leads to applications, data and content becoming unavailable, causing user frustration, lost sales and business reputation damage.” But many businesses still rely on a single, often in-house DNS solution that lacks global scale and resiliency.
This white paper reviews the business advantages of implementing a high availability DNS architecture using redundant DNS services. You will learn:
- The critical role DNS plays in the user experience.
- The risks of relying solely on a single DNS solution.
- The added performance and reliability benefits of a high availability DNS architecture with a redundant managed DNS service.
- Criteria for evaluating a managed DNS service provider.
Cloud computing has been gaining momentum for years. As the technology leaves the early adopter phase and becomes mainstream, many organizations find themselves scrambling to overcome the challenges that come with a more distributed infrastructure. One of those difficulties is getting through a major cloud migration.
It is one thing to roll out a few applications and cloud pilot projects, it is an entirely different challenge to start using the cloud across multiple lines of business at massive scale. That is the point that organizations are beginning to reach, and the time has come to take a serious look at cloud migration best practices.
As business requirements drive the need for a hybrid cloud strategy, companies must determine how best to run their applications and manage their data—whether in their private data center, near the cloud, or in the cloud. Hyperscale cloud providers offer excellent flexibility by allowing customers to buy raw resources in a consumption model by the hour.