This week has seen the first virtual VMworld. While it certainly is not the same without the face-to-face personal interactions that VMworld helps to facilitate, there have been many benefits. Probably the biggest is that all of the breakout sessions are immediately available, giving access to hundreds of hours of quality content – covering industry trends, experiences, new and emerging technologies, and our complete solution portfolio.
(Other benefits include free registration and not having to justify why a single night in San Francisco equals a months rent in many parts of the midwest.)
It is impossible for one person to consume all the available content, although there are probably one or two who will try. With that in mind, I have worked my way through the catalog to find the sessions most relevant to the DevOps journey. I found sessions covering “AllTheOps“, including DevOps, DevSecOps, GitOps, and even ChatOps. I have watched as many as time allowed, and am sharing my favorites with you here:
The Six Ways Your CI/CD Project Can Go Horribly Wrong [MAP2402]
I’m starting with this 40-minute session by Dan Baskette from our Modern Applications Business Unit (MAPBU). Not only do I usually learn more from what didn’t work than what did (and so tend to be drawn to these kinds of sessions), but Dan gives a great overview of CI/CD, automation, and the “everything-as-code” expectations of the modern developer.
Adopting DevOps for Infrastructure with vRealize Automation [HCMB2251]
Kubernetes Automation with vRealize Automation and Tanzu Mission Control [HCMB2255]
In this session, we are back with the CMBU to learn how VMware vRealize Automation can help administrators manage clusters and namespaces through a policy-driven consumption model across Project Pacific, OpenShift, and VMware Tanzu Mission Control clusters.
DevOps for Machine Learning: Enabling Successful ML for Your Organization [ETML2260]
Finally, I am recommending this session by Kenny Daniel, the Founder of Algorithmia. It speaks to my interest in Machine Learning and makes the case that ML needs DevOps (MLOps?). However, while there are many similarities between the SDLC of modern software and that of machine learning, there are some big differences too.
There are certainly many great sessions that I’ve missed on this list, so don’t stop here. The Cloud Management Guide to VMware 2020 contains additional “don’t miss” sessions, all available immediately and on-demand from the content catalog.
And so, why I may not be enjoying a cocktail with co-workers and customers alike on the west coast, I am still up way too late on a school night talking about technology. I hope you find these recommendations useful, and that we can all be back together again in a wildfire and pandemic free environment for VMworld 2021.
In the meantime, revisit this thread for a fun, yet accurate, reminder of what we are really missing!
Other Posts in this Series:
|DevOps #1: Where Are We and How Did We Get Here?||May 2020|
|DevOps #2: Innovators and Outcomes – The Disrupters||May 2020|
|DevOps #3: Early Adopters and Outcomes – The Disruptees||June 2020|
|DevOps #4: Culture – Collaboration, Empowerment, Autonomy||June 2020|
|DevOps #5: Devopsdays – DevOps Culture Embodied||July 2020|
|DevOps #6: Principles and Outcomes||August 2020|
|DevOps #7: Technology – The DevOps Toolchain||August 2020|
|DevOps #8: Technology – Continuous Everything||September 2020|
|DevOps #9: Technology – DevOps @VMworld||September 2020|