Companies today are adopting software as a service (SaaS) at a rapid pace. There are many factors contributing to this trend, including: Many large enterprises, particularly in banking and financial services, have been hesitant to adopt SaaS because it challenges existing risk management models already in place for software.
Today we’re announcing a new feature of VMware Tanzu SQL called Data Management for VMware Tanzu. It offers a convenient user interface that simplifies the operation, automation, and scalability of Tanzu SQL databases (Postgres and MySQL); this same convenience is also available from a comprehensive set of APIs.
Back in March, during our Cloud Transformation event, we released the public beta of Cloud Native Runtimes for VMware Tanzu, which is based on Knative serving and eventing technology. Today, we have a couple of new, exciting announcements to make about Cloud Native Runtimes.
One of the key metrics IT leaders care about is the total time it takes for a release to go from development to being live in production. The metric used to measure that duration is called the “release lead time.” It can range from days to months, depending on factors such as team agility, enterprise constraints, and interdependencies.
When the VMware Tanzu Community Engagement team assembled three years ago, we did so with the belief that strong, sustainable community engagement is a crucial component of successful open source projects. With a mission of helping to build up and improve communities, we set out to support several VMware-originated open source projects.
Enterprise applications rely on large amounts of data that needs to be distributed, processed, and stored. Data platforms offer data management services via a combination of open source and commercially supported software stacks. These services enable accelerated development and deployment of data-hungry business applications. Building a containerized data analytics platform comprising different software stacks comes with several deployment challenges.
In order to stay competitive, enterprise organizations are engaged in an ongoing drive to optimize and scale the delivery of their products and services. Data has become a critical solution component of achieving these goals.
Today, we’re excited to announce enhancements to the VMware Tanzu Observability by Wavefront platform, which helps teams scale their observability practices and shorten the feedback loops between development and operations. The new features give more flexibility and functionality to any open source investments; help operations, development, and SRE teams resolve problems faster; and extend observability more efficiently into DevOps workflows. Here’s a quick rundown of what’s new.
Three months ago, we launched VMWare Tanzu RabbitMQ for Kubernetes to automate high-performance messaging on demand with our cluster Operator.* Since then, customers have approached us with higher-level needs that inspired us to extend and improve Tanzu RabbitMQ. In other words, you’ve spoken, and we’ve listened. And so now, in version 1.1, we go well beyond automating cluster operations to orchestrating complex topologies, adding alerts, and previewing active-passive replication.
When an end user thinks of a modern application, they expect a user-friendly offering, one that works on any device, from any location, and that delivers constant innovation. To deliver on that expectation, under the hood there are a large number of distributed components (and micro-components) running heterogeneous workloads on hybrid environments.
