Customers are demanding multi-cloud solutions to solve problems such as resource constraints, application mobility, and flexible architectures. VMware is positioning new products to meet this demand and provide a unified experience across infrastructures. In this latest look at the hybridized data center, VMware meets the customer where they are to demonstrate the efficacy of VMware Tanzu Kubernetes Grid in a public cloud deployment.
As organizations look to become cloud-first to meet the growing demands of the shifts in the ways we do business, we have seen the pace of digital transformation accelerate. As a result, organizations have evolved their cloud strategies to multi-cloud environments and are adopting more containers, microservices, and cloud native technologies. This is creating increasingly distributed systems, making it harder to gain a comprehensive view into how they’re performing.
Today, a lot of organizations face the challenge of running open source software in production environments in a secure and compliant way. Just six months ago, we witnessed how a vulnerability in Log4j, one of the most popular open source libraries, compromised millions of sites and applications, including products from major cloud vendors.
The software bill of materials, often referred to as an SBoM or BOM, has gained a tremendous amount of popularity in the past year and a half. It’s mentioned in the US White House’s 14028 Executive Order and is referenced in innumerable secure software supply chain articles. While the SBoM has been around for many years, awareness and adoption seems to be hitting an inflection point.
VMware Tanzu Mission Control is designed for operations teams to address complexity and increase control of their Kubernetes clusters wherever they live. In order to support customers with their multi-cloud business imperatives, VMware made an early commitment to provide data protection capability in Tanzu Mission Control, designed to help enterprises more confidently and safely run critical workloads on Kubernetes.
Today’s developers use tools such as VMware Tanzu Application Platform and the Spring framework to build modern applications. However, to build best-of-breed, intelligent, data-centric applications, developers must utilize a unified, in-memory data layer. This enables development teams to truly scale their applications with the pace of business, especially when that business extends across the globe.
Hive smart meters revolutionized the way customers control their energy use. But since their launch in 2012 by UK energy company British Gas, advances in cloud technology and a rapid increase in the number of smart homes has led to an explosion of data.
To provide world-class developer experiences and get applications to production quickly and securely, you need a team of experts devoted to running your platform as a product. For organizations that build and publish software at scale, developing the tech stack on which developers will create applications and push them to production is often the main focus.
Scaling data science is hard. From natural language processing for model-driven policy approvals to image classification in biotechnology to supply chain risk and anomaly detection in advanced manufacturing, data science brings tremendous promise—but not without challenges. Only 21 percent of businesses are gaining a major competitive advantage through the use of data and analytics tools, according to a recent survey.
For those managing enterprise software development organizations, the concept of software supply chains—that is, the set of sources and actions that take software from “raw materials” to a finished product—might represent an abstract concept. While this definition is essentially correct, it doesn’t do enough to explain how supply chains can be complementary to your existing continuous integration and continuous deployment (CI/CD) environments.
