A clear focus on AI in a microservices world

Timo: "In the fast-paced world of technology and corporate acquisitions, customers are often hesitant and nervous. A company that relies on a specific technology stack, software solution, or service provider suddenly feels on shaky ground when an acquisition occurs. This sense of uncertainty is also being felt following Broadcom's acquisition of VMware. Although the acquisition has significantly shaken up the industry, Broadcom has indicated its intention to focus on the future of Tanzu and its associated add-ons, as stated in the news update from Andrew Berenato, Global Tanzu Partner Sales Lead. Furthermore, Artificial Intelligence (AI) also plays a massive role in the future of VMware by Broadcom."

"One of the key players within the Tanzu platform is Tanzu Mission Control (TMC). Tanzu Mission Control is known for its centralized management capabilities. It allows you to deploy and manage Kubernetes clusters across multiple cloud platforms, including AWS, Microsoft Azure, and Google Cloud. This ensures that organizations can remain flexible, avoid vendor lock-in, and take advantage of the benefits of a multi-cloud strategy.

"Tanzu Application Services (TAS) is another one of these add-ons. It provides developers with an automated, self-service platform for building, deploying, and managing modern applications. One of the most notable features of Tanzu Application Services is its focus on developer productivity. This is particularly evident in the automated CI/CD pipelines, which enable developers to write, test, and roll out code faster."

"The rise of microservices architecture has revolutionized the way software is developed, distributed, and scaled. This approach, where applications are broken down into smaller, independently deployable services, has also opened the door to many new possibilities, especially in the field of AI.

"With the rise of microservices, it has become possible to build AI capabilities in a modular way. This means that different aspects of AI functionality, such as machine learning models, Natural Language Processing (NLP) algorithms, and computer vision applications, can be developed, managed, and scaled as separate services. These services, each performing a specific task or function, can then be integrated into larger applications or workflows.

"Another important aspect of using microservices for AI is the flexibility and agility it provides. Because AI functionalities are built as separate services, developers can iterate quickly and implement updates without having to redeploy the entire application. This allows organizations to respond faster to new AI opportunities and implement them rapidly. A Kubernetes platform is an ideal infrastructure for hosting AI microservices."

"Fundaments facilitates Kubernetes clusters through Tanzu. Fundaments is also busy testing VMware Tanzu add-ons, such as Tanzu Application Services, Tanzu Mission Control, and Tanzu Application Platform. In the continuous product development of our Container Platform as a Service, all Tanzu add-on functionalities are being integrated. Additionally, we are actively researching private AI possibilities in combination with Kubernetes. An interesting development to keep following."

Our colleague Leo has written an article about the combination of Private AI and the sovereign cloud of Fundaments. Read this article here.

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