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.

The world is emerging from the largest global pandemic in a century. I, for one, am enjoying some very non-digital experiences as a result. Hugging a friend. Dining indoors at a restaurant. And I am not taking these things for granted the way I once did. But while we cautiously return to some old ways, certain habits are forever changed. Online shopping. Telehealth. Remote work. Fitness apps. The dust hasn't settled (and may never do so) on our new normal digital load.

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.

When did our infrastructure get so complicated? For many of my clients, the number of resources their applications are built on seems to have snowballed overnight. It was, of course, a gradual progression, and usually a conscious one, but complexity can feel like it grows geometrically with each new resource element. And that complexity can create problems.