Welcome!

Machine Learning Authors: Pat Romanski, Yeshim Deniz, Liz McMillan, Elizabeth White, Corey Roth

Related Topics: Machine Learning , Java IoT, Microservices Expo, Containers Expo Blog, @CloudExpo, Apache

Machine Learning : Blog Feed Post

Building Your Agile Infrastructure

Having an agile infrastructure lets you change how IT operates

Today’s data center infrastructure has to be more agile than ever before. It needs to increase efficiency while increasing agility, and providing more and more services.

Having an agile infrastructure lets you change how IT operates. It lets you adapt to growth – even unexpected growth. It allows you to meet business challenges head-on, and make the fast adjustments that are often necessary in business.

This agility spreads from one end of the data center to the other, and includes things like data storage, networking, virtualization, and more.

If you’re looking to implement a new agile infrastructure, you need to cover certain essential areas. Here are some characteristics you need to make sure you’re getting from your infrastructure:

  • Efficient storage. You need to have a number of technologies in place that make your storage environment more efficient. That should include elements such as replication, deduplication, compression, optimization of media, optimization of performance, and even point-in-time snapshots.
  • Storage tiering. Accordingly, you need to be able to have an environment where data can be prioritized and stored on the right media accordingly. Data should be prioritized based on workload and affinity, and then distributed out to the storage technology with the appropriate service level.
  • Data protection. Today, it’s more important than ever that your data is protected from disaster. That means you need enterprise-wide disaster recovery technologies, appropriate backups, and archiving for those applications that support it.
  • Continuous operations. Uptime is a major concern of your infrastructure, especially as companies come to rely to a greater degree on the data center. Your data availability needs to be non-stop. You need to use workload migration, load balancing, and more. You need to be able to repair, replace, or upgrade an infrastructure node without creating a service interruption.
  • Automation and analytics. Being able to manage and allocate infrastructure resources based on demand is essential. You also need to be able to analyze and define how information is moving, and insure that required service levels are being met.

Talk to Unitiv about these concerns, and make sure these issues are adequately addressed.

Read the original blog entry...

More Stories By Unitiv Blog

Unitiv, Inc., is a professional provider of enterprise IT solutions. Unitiv delivers its services from its headquarters in Alpharetta, Georgia, USA, and its regional office in Iselin, New Jersey, USA. Unitiv provides a strategic approach to its service delivery, focusing on three core components: People, Products, and Processes. The People to advise and support customers. The Products to design and build solutions. The Processes to govern and manage post-implementation operations.

CloudEXPO Stories
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and the founder of Teleku, a communications-as-a-service cloud platform which was acquired by Voxeo. Chris was also the founder of Digital Voice Technologies, the creator of the first VoiceXML-powered voice browser, which was acquired by Ideas & Associates.
By 2021, 500 million sensors are set to be deployed worldwide, nearly 40x as many as exist today. In order to scale fast and keep pace with industry growth, the team at Unacast turned to the public cloud to build the world's largest location data platform with optimal scalability, minimal DevOps, and maximum flexibility. Drawing from his experience with the Google Cloud Platform, VP of Engineering Andreas Heim will speak to the architecture of Unacast's platform and developer-focused processes.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.