VMware Aria Universal Suite and VMware vCloud Suite+ (Core Based)

whitePaper | December 5, 2022

In order to make cloud services more efficient and flexible to provide support for business innovation and intelligent transformation in various industries, especially to move enterprises and edge computing to the cloud, many cloud service providers (CSP) are working on the cloud data center architecture innovation and software tuning. Those efforts can eliminate the bottleneck of the infrastructure and make it more efficient and intelligent, thereby bringing users better service and performance, higher stability and security, and better management and control efficiency.

whitePaper | June 5, 2023

Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of cloud-based security and compliance solutions. The Qualys Cloud Platform and its integrated apps help businesses simplify security operations and lower the cost of compliance by delivering critical security intelligence on demand and automating the full spectrum of auditing, compliance and protection for IT systems and web applications.

whitePaper | October 11, 2022

The Dell Technologies Tech Book is a conceptual and architectural review of the Dell VxRail system, optimized for VMware vSAN. The Tech Book describes how hyperconverged infrastructure drives digital transformation and focuses on the VxRail system as a leading hyperconverged technology solution.

whitePaper | May 31, 2023

Except for the ability to digital innovation, the traditional reasons of why an organization turns to the public cloud is cost savings or to augment their private cloud capacity. Although these reasons are still valid, a more important reason is on the rise, namely security. Organizations are coming to realize that providers can invest and specialize far more in people and processes to deliver a secure infrastructure. At Cleura we have an expressed goal and business strategy to deliver better security than traditional on-premises solutions.

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.

whitePaper | May 2, 2022

Adequate data usage is a strong differentiator for organizations, and data masters who do it right can expect higher customer satisfaction, revenue growth and improved margins. In this journey of building data initiatives, the cloud is a strong enabler, bringing efficiency and making state-of-the-art AI and Data Analytics tools easier to access. At the same time, consumers’ trust, especially in the use of their personal data, is a strong differentiator, and data privacy, security and fair use are in strong demand from citizens, users, employees, shareholders, and governments.