Clear focus on AI in a microservices world

Timo: ‘In the fast-paced world of technology and corporate acquisitions, customers are often reluctant and nervous. A company that relies on a particular technology stack, software solution or service provider suddenly feels unsettled when an acquisition takes place. This sense of uncertainty is also felt with Broadcom's acquisition of VMware. Despite the acquisition shaking up the industry considerably, Broadcom has indicated that it wants to focus on the future of Tanzu and its add-ons, as indicated in the news release by Andrew Berenato, Global Tanzu Partner Sales Lead.  In addition, Artificial Intelligence (AI) is also playing a huge role in the future of VMware by Broadcom.

‘One of the talkpieces within the Tanzu platform is Tanzu Mission Control (TMC). Tanzu Mission Control is known for its centralised management capabilities. Tanzu Mission Control allows you to deploy, as well as manage Kubernetes clusters on multiple Cloud platforms, including AWS, Microsoft Azure and Google Cloud. This allows organisations to be flexible, but also allows organisations to avoid vendor lock-in and enjoy the benefits of a Multi Cloud strategy.

‘Tanzu Application Services (TAS) is also one of these add-ons. Tanzu Application Services provides developers with an automated and self-service platform for building, deploying and managing modern applications. One of the most striking 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 deploy code faster.

‘The rise of microservices architecture has revolutionised the way software is developed, distributed and scaled. This approach, where applications are broken down into smaller, independent deployable services, has also opened the door to many new possibilities and in particular new AI capabilities.

‘With the emergence 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 quickly iterate and implement updates without having to re-deploy the entire application. This enables organisations to respond faster to new AI possibilities and adopt them quickly. An ideal infrastructure for hosting AI microservices is a Kubernetes platform.

‘Fundaments facilitates Kubernetes clusters using Tanzu. Fundaments is also actively 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 the functionalities of the Tanzu add-ons are being included. In addition, we are busy exploring private AI capabilities in combination with Kubernetes. An interesting development to keep track of.’

Our colleague Leo has written an article on the combination of Private AI and Fundaments' Sovereign Cloud. Read this article here.

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