Mobile apps are already being used in a variety of ways, including sales support, service support, data access, communications, collaboration, business processes and productivity. We can help you determine the best approach for your organization, from off-the-shelf apps to fully customized apps. With the right apps, you can pursue innovation, improve customer experiences, boost productivity and cut costs.
For customers who are looking for a simple, agile and highly available virtualization appliances, the HP ConvergedSystem 200-HC EVO:RAIL eliminates complex solution stacks by combining powerful HP servers and VMware EVO:RAIL software components for environments running on VMware vSphere. The HP ConvergedSystem 200-HC EVO:RAIL provides a turnkey hyper-converged, virtualization solution for medium sized businesses and enterprises. Learn what's new with HP EVO:Rail in this brief overview.
In October 2014, HP announced a new family of hyper-converged appliances within the HP ConvergedSystem portfolio. These new HP ConvergedSystem offerings are simple, turnkey systems that deliver fast time-to-value. With a consolidated footprint and built-in enterprise-grade features, performance, and resiliency, these systems can handle a variety of application- from virtualized workloads to virtual desktops.
One of these hyper-converged appliances is HP ConvergedSystem 200-HC EVO:RAIL. This system combines HP ProLiant SL servers with VMware's proven suite of core products-VMware vSphere, vCenter Server, VMware vRealize Log Insight, and VMware Virtual SAN-into a single system to accelerate bringing new applications/services online.
Review this list of commonly asked technical questions for the ConvergedSystem 200 Hyper- Converged EVO:RAIL System. Discover what EVO:Rail is, how it is different than VMware Virtual SAN, and what EVO:Rail replaces.
This TDWI Best Practices Report focuses on how organizations can and do use next-generation analytics. It provides in-depth analysis of current strategies and future trends for next-generation analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data, and processes. It examines both the analytics and infrastructure necessary for next-generation analytics. This report offers recommendations and best practices for implementing analytics in an organization.
Google, eBay and LinkedIn were among the first to experiment with big data. They developed proof of concept and small-scale projects to learn if their analytical models could be improved with new data sources. In many cases, the results of these experiments were positive.
The large array of connected devices, often referred to as the "Internet of Things" (IoT), is delivering an array of new data from the sensors they contain. This data offers the promise of new services, improved efficiency and, possibly, more competitive business models.
The concept of machine learning has been around for decades. What's new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and the analytical opportunities available have dramatically increased interest in machine learning systems.
Insights from a presentation at the 2014 Hadoop Summit
Commercial Analytics Software and/or Open Source? It's a hot topic today. As customers debate which is the best way to go, recent findings by Nucleus Research suggest that many organizations have realized that they can meet both internal and external stakeholder requirements by finding the right balance of SAS enterprise-class analytics solutions and open source solutions. Why? Because SAS is optimized for operational and production analysis and includes integrated capabilities for data management and more, while open source quickly brings new analytic algorithms to market.
These days, as the phrase "managing data as a corporate asset" is increasingly repeated in executive board rooms, data stewardship is more important than ever. With companies now redoubling their efforts to manage and maintain their corporate information, decisions about data quality tools, integration architectures and data standards must be deliberate. Executives must be willing to enforce rigor and invest in data skills independent of the systems and business initiatives they support. And, most importantly, they need to adapt the resulting tactics to their companies' own readiness. In so doing, they endorse a data-driven culture and ensure that data stewardship sticks.
IT departments are under more pressure than ever. You're asked to be faster (and even faster), more agile and more cost-effective, while still ensuring reliability, scalability, availability and security. Yet, many teams spend 50 to 80 percent of their time and budget on manual, repetitive tasks, just to keep systems up and running. No surprise that when you're spending most of your time being reactive, you've got less time to spend on the work that matters: communicating better across teams; deploying applications on schedule; moving your business ahead.
Where do you start? We've put together a series of stories featuring Puppet Labs customers Netgroup, Getty Images and others who've trailblazed a path to IT automation and embraced DevOps practices like continuous delivery - and they're here to share their tips and wisdom with you.
Organizations create, deliver and modify software to fill business needs. Those business needs are not static: They can change as suddenly as breaking news. Any organization using software to serve its customers - and really, that's almost every company, nonprofit or institution - has to find a way to develop, release and modify software more frequently and easily. That's why organizations of all sizes and types are implementing continuous delivery; they can't afford to be left behind by more responsive and agile competitors.
Martin Fowler's definition of continuous delivery sums it up well: Briefly, it's when any version of your software can be deployed to any of your environments on demand, and the team prioritizes keeping software deployable over releasing new features. Paradoxically, it gets a lot easier to release new features when you're working this way.
This white paper offers an overview of the benefits of continuous delivery, the steps for launching it in your organization, and the kinds of tools you'll need to make delivery of small, frequent changes to working code an everyday reality. Download the white paper to learn: - the benefits of continuous delivery - the steps for launching it in your organization - the tools to make it happen, including Bamboo, Git, Jenkins, Puppet Enterprise and others.
You've probably heard that continuous delivery allows you to get new features and capabilities to market quickly and reliably. But what is it, really, and what's required to get started? This introductory eBook reveals:
- What continuous delivery is: Learn about the differences and connections between continuous delivery, continuous integration and continuous deployment.
- Why continuous delivery matters: Learn how continuous delivery practices can benefit developers, sysadmins and business managers.
- The practice of continuous delivery: Learn about the cultural and technical changes you need to make to adopt continuous delivery practices.
- The tools of continuous delivery: Learn about common tools required to run a smooth pipeline from the developer's keyboard to deployment.
- Resources for continuous delivery: Get a list of resources - from developer workflow tools to modules - that will help your teams de-stress and get more agile with continuous delivery.
Start learning about how continuous delivery can help you smooth out your deployments, de-stress your sysadmins and developers, and stay competitive in the market.
Configuration management is a critical cornerstone of IT automation, providing tools that allow you to centrally manage the packages, configuration files, process state, firewall rules and other settings that equip servers to do their assigned jobs. Without automated configuration management, you do all these tasks manually, or with handwritten scripts. It's time-consuming, and prone to human error.
Configuration management is also about making any changes to the system in an organized way so that your servers are modified deliberately and correctly, while accounting for relationships between system components.
People often talk about configuration management as if it referred only to compute servers. But it's also about managing network devices, storage, and the applications you're running. So really, you can think of configuration management in IT as making sure all the machines in your data center - and in the cloud, too - are equipped to do the jobs they're supposed to do, that they're actually doing those jobs, and that the overall system is functioning well to run the applications that serve the business.
In this comprehensive 10-page handbook, you'll learn all about automated configuration management, including: - Why your company needs automated configuration management - The risks of not implementing automated configuration management - How to evaluate configuration management tools and get started
Windows system administrators use a wide variety of tools to do their work. But with Microsoft's vision of a mobile-first, cloud-first world, Windows admins need a unified toolset to manage all their environments - Windows and not. This handbook describes what to look for in a configuration management tool, and offers hands-on examples of using Puppet to manage permissions on Windows.