The right solutions for lightweight, scale-out workloads
Microservers are an emerging form factor of servers designed to process lightweight, scale out workloads for hyper-scale data centers. Typical workloads suited for microservers include static web page serving, entry dedicated hosting, and basic content delivery, among others. Look here for information on how workloads can be optimized to take advantage of this form factor.
Platform and Architecture Overviews
The Intel® Atom™ C2000 product family is based on the next-generation Intel® Atom™ processor which focuses on enabling high density with high performance providing 2, 4, and 8 core product models at 6-20 Watts of power consumption. Learn more about the architecture, features, and what you need to know to take advantage of those features.
Use Cases and Reference Architectures
Turning Big Data into Big Value (white paper)
This paper describes three usage models that can help you implement a flexible and efficient big data infrastructure to realize competitive advantages in your own business. It also describes Intel innovations in silicon, systems, and software that can help you to deploy these and other big data solutions with optimal performance, cost, and energy efficiency.
Predictive Analytics and Interactive Queries on Big Data (technical paper)
The business potential of big data analysis is enormous across virtually every business sector. The Intel IT organization has implemented use cases delivering hundreds of millions of dollars in business value. This paper discusses a few of those use cases and the technologies and strategies that make them possible. It also defines the architecture we use for big data analysis and provides an in-depth look at one of the most important components—an Apache Hadoop* cluster for storing and managing large volumes of poly-structured data.
Perform Predictive Analytics and Interactive Queries on Big Data (technical paper)
Recent innovations in data warehousing and business analytics dramatically increase the capability and potential value of today’s massive, diverse, and often fast-moving data flows. Companies now perform interactive queries and predictive analytics using all available data, including operational data and the huge amounts of poly-structured data available from logs, social networks, sensors, and many other sources. In this white paper, we define a practical, cost-effective infrastructure for supporting data-driven decision-making on an enterprise scale.
Other Use Cases
Configuration and Deployment Guides
Optimizing Web Infrastructure on Intel® Architecture (white paper)
This paper focuses on optimizing the design and deployment of Web-tier services using Intel® based servers, communications, and storage solutions to achieve the best balance of high-performance, low power consumption, high-availability, affordability and low Total Cost of Ownership (TCO).
Extract, Transform, and Load Big Data with Apache Hadoop* (technical paper)
The challenge of extracting value from big data is similar in many ways to the age-old problem of distilling business intelligence from transactional data. Apache Hadoop* has emerged as a de facto standard for offloading the “Extract, Transform & Load,” (ETL) of big data. This whitepaper examines some of the platform hardware and software considerations in using Hadoop for ETL.
Configuration and Deployment Guide for Memcached on Intel® Architecture (software deployment guide)
This Configuration and Deployment Guide explores designing and building a Memcached infrastructure that is scalable, reliable, manageable and secure. The guide uses experience with real-world deployments as well as data from benchmark tests.
Configuration and Deployment Guide for the Cassandra NoSQL Data Store on Intel Architecture (technical paper)
This Configuration and Deployment Guide explores one of the leading Not Only Structured Query Language (NoSQL) database, Cassandra, on Intel® Architecture. The configuration guidelines address use cases with both Intel Xeon® processor- and Atom™ processor-based servers that take into account differing business scenarios, performance requirements and Total Cost of Ownership (TCO) objectives.
Configuration and Deployment Guide for OpenStack* Swift* Object Storage on Intel® Atom™ Processor and Intel® Xeon® Processor Microservers (technical paper)
This Configuration and Deployment Guide explores designing and building object storage environments based on OpenStack* Swift* in cloud environments, where responsiveness and energy costs are critical factors. High-performance, energy-efficient microservers, such as those based on the latest generation of Intel® Atom™ processors and Intel® Xeon® E3 processors, meet these requirements.
Find out more information about Microserver offerings at http://www.intel.com/microservers