We start talking about conferences using biometric security, edge detection, and included your right to be forgotten.
In this fascinating conversation, we go into future projections of what it’s going to take for people get privacy including the idea of using AI so face are left out the photographs! Would be possible? If so, what would drive that as potential thing.
We started it humorously thinking about all the cameras and all the biometrics that could be collected during AWS reinvent, which a lot of us will be at, at least in the shadows.
Backups are really, really tricky! We talk through a lot of different things that you have to consider in making successful backups like security, resilience, how you store the data, how you recover the data and rebuild the systems. Basically, we ran the gamut on backup challenges.
You really need to think through a lot of the considerations! Our discussion will help make you better at backups.
Rob Hirschfeld, CEO and co-founder of RackN and host of the Cloud 2030 Podcast, reflects on the October 26th discussion about backups, emphasizing their critical role in successful recovery efforts. He highlights the complexities of securing data at rest and the potential vulnerabilities backups may pose in scenarios like ransomware attacks or disaster recovery. Hirschfeld urges listeners to consider the entire system architecture and storage mechanisms to avoid potential losses, inviting them to explore the comprehensive discussion at the2030.cloud for deeper insights.
Today’s episode is about business value mapping. Instead of focusing on Ray Wang’s “Who wants to rule the world” book, we got really deep into the why.
We discuss what is business value mapping, how it works, why it works, when it doesn’t work, and what it takes to make it succeed.
So if you’ve read Ray’s book, I think you’ll get a lot of extra depth out of this, if you haven’t read it at all, it might be a good primer on why you want to learn more about business value mapping and how to apply it within your own organization.
This is part one, we’re actually having a whole other session about operations, value mapping, and talking that through in the next session.
Today’s episode is about Minimal Viable Product (MVP) which is a product development process focused on learning. It is an important element to building good resilient products and spending the right amount of time doing the right things.
But it’s not a cure all! It might be right for what you’re trying to accomplish.
In this podcast, we really go through when MVP works, when it doesn’t work, and what goals to set when using minimal viable product.
This podcast will make you think about what should go into making product decisions.
What was working what wasn’t working with conferences. But in traditional Cloud2030 style, we dove into the future, what would make great conferences, what makes conferences good, what made them good in the past and what technology changes we think could be coming in the future.
We extended that from conferences into meetings and meeting technology and transcription in the second half of this podcast. We really dive into how to help people connect together better since that’s what conferences are about, too.
Then we extended it more broadly, and brought up some interesting things like sentiment analysis, and adding new dimensions into the types of tools that we’re using today.
Rob Hirschfeld, CEO and co-founder of RackN and host of the Cloud 2030 Podcast, reflects on the September 30th discussion regarding human interactions at conferences and meetings using new technologies. He highlights the shift towards improved communication through visual mediums like Zoom and Teams, emphasizing the potential for future technologies to enhance these interactions further. Hirschfeld encourages listeners to explore the comprehensive discussion at the2030.cloud, which delves into the possibilities and challenges of advancing video interaction technologies.
Cloud versus Edge? This panel dove into what makes edge different than cloud.
There are a lot of different technical and commercial drivers. And fundamentally, it matters who owns the sources of data and how data sources are different. This underscores how it is critical to understand data sources, infrastructure ownership, and how everything fits together.
This discussion will change to you rethink what makes Edge different than Cloud.
Understanding and Managing Certificates is a critical operational skill in which we cover the basics and then go deeper.
If you are familiar with SSL HTTPS, you are using certificates on a daily basis. And yet, actual management of trust and root CA is and distributing private and public keys or distributing public keys and managing private keys is tricky.
Even our expert panel still struggles while we understand what’s going on. One of the challenges with this is in education and having people understand what they’re actually getting from certificates and trust, and what they’re not getting.
Today’s episode, we talked about the challenge of making Modular Automation. We broke down why that is so hard and really dug into ways in which we can increase the modularity and reuse of automation.
That led us to talking about infrastructure pipelines, infrastructure, reuse, and sharing state via digital twins in infrastructure.
All of this comes together in really fascinating ways!
We go into the details about Secrets Management. We explore how the process works, and how to do it right. We also cover the alternatives.
This podcast is for you if you are trying to understand how secrets management works. We cover different scenarios where it can be applied, and where can go wrong.
Continuous Infrastructure Automation is a critical concept about driving much more resilient and repeatable systems.
As we build out applications on infrastructure, we should not treat them as a static deployment. Instead, we should think of infrastructure as constantly evolving, growing and changing.
There’s a lot of technology and challenges in building that! In discussion, we firmly believe that this is the right path, but the path to get there is challenging. There are a lot of components that have to be considered: everything from artificial intelligence or machine learning, to how to manage and control and standardize the automation that does all that work.
