Cisco Cloud ACI on AWS

whitePaper | August 12, 2021

This whitepaper discusses architecture considerations and recommended practices that IT managers and system architects can apply to build highly available on-premises application environments with AWS Outposts. This paper is intended for IT managers and system architects looking to deploy, migrate, and operate applications using the AWS cloud platform and run those applications on premises with AWS Outposts. It introduces the architecture patterns, anti-patterns, and recommended practices for building highly available systems that include AWS Outposts. You will learn how to manage your AWS Outposts capacity and use networking and data center facility services to set up highly available AWS Outposts infrastructure solutions. AWS Outposts is a fully managed service that provides a logical pool of cloud compute, storage, and networking capabilities. With Outposts, customers can use supported AWS managed services in their on-premises environments, including: Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Block Store (Amazon EBS), Amazon Simple Storage Service on Outposts (Amazon S3 on Outposts), and other AWS services on Outposts. Services on Outposts are delivered on the same AWS Nitro System used in the AWS Regions. By leveraging AWS Outposts infrastructure solutions, you can build, manage, and scale highly available on-premises applications using familiar AWS cloud services and tools. AWS Outposts is ideal for workloads that require low latency access to on-premises systems, local data processing, data residency, and migration of applications with local system interdependencies.

whitePaper | February 23, 2023

Similar to IT technology, the development of the cloud is accompanied by digital transformation, and has experienced trials and explorations entering the era of comprehensive practices at the current stage. While enterprises are enjoying the agility and innovation provided by cloud services, there are a series of challenges and pain points that come with it. Most enterprises cannot simply abandon existing systems and build entirely new platforms on the cloud. They must consider the requirements and limitations of talent, technology, cost, compliance, security, environment, etc., before transforming and building IT systems with multi-cloud visioning to support the sustainable development of businesses.

whitePaper | September 27, 2022

The move to the cloud by organisations both large and small is inevitable. The pace of innovation enabled by cloud computing ensures that those who ignore or are slow to adopt it will quickly find themselves disrupted by competitors who can benefit from greater speed to market, business agility, scalability and cost-efficiency.

whitePaper | March 18, 2022

This white paper provides overview information for the Dell Technologies Validated Design for Data Management with Cloudera Data Platform (CDP) Private Cloud Base, for deployment on Dell PowerEdge servers, PowerSwitch networking, and PowerScale storage.

whitePaper | October 31, 2022

As cloud-based software solutions become prominent, discussions continue to revolve around security. When organizations implement a cloud-based solution, they put their trust in the solution provider to protect their data and deliver a secure platform.

whitePaper | November 26, 2019

The buzz surrounding artificial intelligence (AI) is hard to ignore. Huge data sets and large amounts of compute are the perfect match for deep learning, astonishing us with algorithms that have beaten grandmasters at games of chess and Go. Today, with access to no more than a web browser, the benefits enabled by breakthroughs in image and speech recognition not to mention machine translation and more are just a few clicks away. There’s the growth of the cloud to consider too. We’re depositing more and more of our data on virtual drives that make it easier to share, back-up and transfer information providing us with new opportunities both in the office and at home. But what do machine learning and cloud computing mean for scientific research? How can these tools help researchers to manage and navigate the vast datasets generated by increasingly sophisticated detectors and experiments? At big science facilities, data streams that used to be megabits per second are now hundreds of times faster, sometimes even more, as detector upgrades come online and new instruments are installed. That’s a lot of data to analyse and verify.