I am one of the big fans of Tanzu, but actually, here in Saudi Arabia, it does not work as expected. I do not know if this is a mistake from the partner or if there is something missing with the product, but I know it should be the umbrella that contains all the services related to VMware. However, when we compare it with the containerization in Azure or other infrastructure environments, I cannot see it having good competition with them. But when I read the specifications and capabilities of the product, I found it to be very good, though I am unsure what is missing. The feedback that I get from the operation team is that it was easy to deploy VMware Tanzu Observability, but they need more resources and documentation about it. Additionally, the partner in Saudi Arabia has some issues, and many people in the market are currently focused mainly on cloud services. VMware Tanzu is related to private cloud and data center internally, so this new trend towards cloud makes it a little difficult for private cloud and private data center. For the actual work and heavy duty workload, we are still using VMware products, vCenter and also Tanzu as part of this. There are multiple dependencies related to the implementation of VMware Tanzu Observability. This is linked to the network, storage, and many other factors. For this type of project and implementation, there needs to be collaboration between the network team, SAN storage team, and the partner from whom I receive support during the implementation phase. The time for implementation depends on the workload as well. If you are talking about 100 virtual machines, it is not the same as when you are discussing 1,000 virtual machines. The implementation time will depend on the workload and the number of infrastructure team members you have, along with the virtual machines and containers. To improve VMware Tanzu Observability, they need to conduct more POCs to raise awareness regarding their features and the integration capabilities with other tools. The current market trends lean towards AI and machine learning, and they need to play their role in the market for these features.
