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Heads Up - Nested ESXi crashes in ESXi 7.0 running on older CPUs

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Thanks to Patrik Kernstock, who works in our Technical Support organization at VMware, for making me aware of an issue related to Nested ESXi running on an ESXi host that has been upgraded to ESXi 7.0. Several folks in the community have noticed after upgrading their Intel NUC 7th Gen and deploying a Nested ESXi VM and powering on an inner-guestOS would causes the Nested ESXi VM to crash.

Upon further investigation, it looks like this is not specific to the Intel NUC platform but rather with a specific generation of CPUs which are Intel Sky Lake-based and as a result, some customers are noticing this affect on their 7th Gen NUC.

UPDATE (06/23/20) - ESXi 7.0b has just been released and contains the fix for the Nested ESXi VM crash. If you are using an Intel NUC 10, do not just apply the patch as the updated ne1000 VIB within the patch will override existing Intel NIC driver causing the network adapter to no longer function. It is recommended that you download the patch and replace the default ne1000 VIB using Image Builder with the Intel NIC version before applying the update. To download the patch, please visit VMware Patch Portal site.

The good news is that this issue has already been reported and we should have a fix in a future update of ESXi. In the meantime, you can still run Nested ESXi and Nested Virtualization on these affected CPUs, you just will not be able to power on inner-guest VMs. Big thanks to Patrik for helping out with the testing and triaging this internally.

Automated vSphere 7 and vSphere with Kubernetes Lab Deployment Script

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I know many of you have been asking me about my vSphere with Kubernetes automation script which I had been sharing snippets of on Twitter. For the past couple of weeks, I have been hard at work making the required changes between the vSphere 7 Beta and GA workflows, some additional testing and of course documentation. Hopefully the wait was worth it (I think it is) and if you enjoy the script or have benefited, please consider adding 🌟to the Github repo to show your support! Thanks and enjoy

The Github repository:

Before getting started, please carefully read through the requirements section along with the complete sample end-to-end execution if you are new to vSphere with Kubernetes. You will need to have a VMware Cloud Foundation (VCF) 4.0 license before you can get started and specifically an NSX-T Advance license which is one of the required parameters within the script. If you do not have access to a VCF 4 license, I strongly recommend taking part in the recent VMUG Advantage Homelab Group Buy effort which I had started to easily get access to the latest VMware releases along with a nice 15% discount!

The script supports deploying both a standard vSphere 7 environment with just VCSA, ESXi and vSAN as well as the complete solution which includes NSX-T to support vSphere with Kubernetes. For more details, please refer to the FAQ.

Configure NSX-T Enhanced Data path / Network Stack (ENS) for Nested ESXi

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After publishing my Running Nested ESXi, NSX-V or NSX-T on top of NSX-T article which actually turned out to be quite popular, I received an interesting question on whether ENS for NSX-T could also be configured within a Nested ESXi deployment? I was a little familiar with ENS, which I will explain in a second. However, I was not completely sure about the benefits of running ENS in a Nested environment.

With the help from my friend Frank Escaros-Buechsel, who actually works in our NFV group at VMware. Frank helped validate the instructions but he also provided some additional insights on why this could be useful in a lab setup for verifying configuration and behaviors when additional tuning maybe required. If you are NOT running NFV-based workloads, ENS is not something you need to configure when running NSX-T using Nested ESXi.

So what is ENS?  Enhanced Network Stack (ENS) also referred to as Enhanced Data Path is an NSX-T capability which was first introduced with NSX-T 2.3. ENS is specifically designed for Network Function Virtualization (NFV) workloads that require a high performance data path. Such workloads include Telco, 5G and IoT based deployments where improved packet throughput is critical for the responsiveness of these applications.

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