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Project Pacific - Workload Evolution in vSphere 

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Project Pacific was definitely one of the most exciting and most talked about announcement at this past VMworld. In case you missed the big news, check out this quick snippet of the Day 1 Keynote where Pat Gelsinger and Joe Beda (one of the co-creators of Kubernetes, now at VMware) introduces Project Pacific to the world.


If you ask most folks what Project Pacific is about, they would probably answer something with Kubernetes and Containers in vSphere, which is a fair assessment, especially as Kubernetes was probably mentioned once or twice during the conference 😉

However, Project Pacific is actually more than just Kubernetes but with all the new lingo like Supervisor and Guest Clusters, one can easily get lost in the implementation or what I would refer to as the "how" part of Project Pacific. If you ask me, the "why" part is much more significant and Project Pacific is fundamentally re-defining what and how to deploy a workload in vSphere.

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VMworld Startup: Hivecell - Stackable Edge Computing

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One thing I really enjoy at VMworld when I have a few minutes to spare between sessions and customer meetings is to walk around the Solutions Exchange and learn about what our partners are doing in the VMware eco-system. I usually do not make it in very far before bumping into an old colleague or customer before having to run to my next engagement, but some times I get lucky.

While walking the show floor, I came across a really interesting company that immediately caught eye and you can probably guess why from the picture I took below.


The company is called Hivecell and they make it super easy for Global 500 companies to deploy and maintain software at the Edge without requiring a large IT team to manage the deployments which can be spread across hundreds if not thousands of sites with very little to no IT staff.

One of the biggest challenges with Edge Computing is being able to process the large quantity of data being generated in all of these remote locations on a daily basis. In some cases, the dataset can grow up to several Terabytes and it is no longer feasible to send all of this data to the Cloud or back to your Datacenter to extract the business intelligence and value. In fact, depending on the connectivity of your remote site, it can take weeks before the data is available. For any type of real or near-real time applications, the window where the data is of value can literally be hours if not minutes and it must be processed immediately at the Edge.

Speaking of use cases, here are some of the scenarios where Hivecell believes they can really help with their solution, more details about each use case can be found here.

  • Petrochemicals
  • Renewable Energy
  • Quick Service Restaurant Chains
  • Manufacturing
  • Healthcare
  • Weather
  • Data Science
  • Hotels

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Automated ESXi Installation to USB using Kickstart

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I frequently re-install ESXi on my physical host for various types of testing as I normally work with a number of future releases. Although the process just takes a couple of minutes, having to enter the exact same information each time and also requiring a keyboard and monitor is not really ideal. For the majority, this is really not a problem and manually going through the install workflow is fine for most folks, especially as this is an infrequent operation.

However, with some recent customer conversations, I thought it was worth while to re-visit this topic and demonstrating just how easy it is to automate the installation of ESXi with just a single bootable USB device and embedding an ESXi Kickstart Script. Even for infrequent installation and/or upgrades of ESXi for home labs, this can be a time saver, especially if you do not have monitor and keyboard just lying around. Below are instructions including a reference Kickstart example that folks can use as a starting point. For more advanced automation, please take a look at my ESXi Kickstart Resources as well as the official VMware documentation for ESXi Scripted Installations.

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