Insights on today's (horizon 1) and tomorrow's (horizon 2, 3) evolution and adoption of distributed, scalable, resilient and intelligent data analytics, cloud services and infrastructure

Cloud + Edge Horizons

!!WARNING: DEEP SYSADMIN CUTS AHEAD!!

Back in the early 2000s, if you were a sysadmin that had to set up desktops or servers, you probably used Norton Ghost to create images.

When virtualization became big, that process moved to creating VM templates.

But there was still often a lot of manual intervention in these tasks - password setting, BIOS updates, vCenter installations and more. As the IT world moves more and more towards automating software tasks, what about automating infrastructure provisioning? Sure, there's cloud, but what if you're still on-prem?

This week, Rob Hirschfeld of RackN joins us to discuss how RackN helps automate the previously un-automate-able.

Episode 367 - Infrastructure Automation with RackN

We dive into Shoshana Zuboff’s book The Age of Surveillance Capitalism. Full of amazing insights, predictions and really insightful work, you can literally scan every page and read something fascinating. You don't need the book to follow today’s discussion. 

We start by watching Apple's new iPad ad before we dive into the book, and I highly recommend that you watch it as well, link in the show notes. It's a good tie into the surveillance capitalism discussion and I think you will enjoy our commentary about it.

References:
https://www.theverge.com/2024/5/8/24152236/apple-ipad-pro-commercial-artists-ai
https://www.amazon.com/gp/product/1541758005/ref=ppx_yo_dt_b_search_asin_title

Transcript: https://otter.ai/u/Y-bm0QL3Vnfjcy4hgmTIiqkUpNU?utm_source=copy_url

Surveillance Capitalism [Book Club]

In this podcast, Rob Hirschfeld, CEO and Co-founder of RackN talks with Stephen Spector, HPE Cloud Evangelist about the latest interest in Ansible and how Digital Rebar Provisioning leverages the tool for next generation provisioning of the modern datacenter.

Ansible and Digital Rebar : Partners in Provisioning

When you have “a really hot, frothy space” like AI, even the most basic questions — like what is it good for, how do you make sure your data is in shape, and so on — aren’t answered. This is just as true for the companies eager to adopt the technology and get into the space, as it is for those building companies around that space, observes Joe Spisak, Head of Partnerships at Amazon Web Services. “People treat it like magic,” adds a16z general partner Martin Casado.

This magical realism is especially true of AI, because by definition — i.e., machines learning — there is a bit of a “black box” between what you put in and what you get out of it. Which may be fine… Except when you have to completely change the data being fed into that black box, or you’re shooting for a completely different target to come out of it. That’s why, observes Scott Clark, CEO and co-founder of SigOpt, “an untuned, sophisticated system will underperform a tuned simple system” almost every time.

So what does this mean for organizations going from so-called “toy” problems in R&D to real business results tied to KPIs and ROI? In this episode of the a16z Podcast, Casado, Clark, and Spisak (in conversation with Sonal Chokshi) share their thoughts on what’s happening and what’s needed for AI in practice, given their vantage points working with both large companies and AI startups. What does it mean for data scientists and domain experts? For differentiation and advantage? Because even though we finally have widely available building blocks for AI, we need the scaffolding too… and only then can we build something powerful on top of it.

a16z Podcast: AI, from 'Toy' Problems to Practical Application

In this episode of the O’Reilly Media Podcast, I talk with JP Phillips, platform engineer at IBM Cloud. IBM is driving development in the container space, as shown through last year’s launch of Istio, an open cloud service that allows developers to connect, manage, and secure networks of different microservices. Istio, a joint collaboration between IBM, Google, and Lyft, (in conjunction with the Cloud Native Computing Foundation), is platform agnostic and runs on Kubernetes platforms, such as IBM’s Cloud Container Service. Interest in the platform is growing. IBM's Daniel Berg, who is giving a talk on Istio at the upcoming OSCON conference in Portland, recently led a hands-on workshop at KubeCon in Copenhagen to help developers learn how Istio can solve common challenges with microservices deployed within Kubernetes.

Kubernetes and Containers for Enterprise Developers

Joining us this week is Simon Crosby, CTO at SWIM.AI. Simon discusses the architecture for Edge and its differences from existing cloud infrastructure and how the SWIM.AI solution meets the needs for Edge services.   

 Highlights
•	Challenges in Edge 
•	Data is Complete Disruption in Current Models 
•	Don’t Train in Cloud for Edge; Instead Learn on Fly
•	All About Data – Apps can’t be Written for Data Specifically 
•	Example of Sensor Model at Traffic Light in Self-Learning Model
•	Digital Twin Concept & Actor Model 
•	SWIM.AI Innovation ~ always as though its local 
•	Independent Management of Latency and Resource Utilization 
•	Write the Program from the Data
•	Example of Manufacturer with Millions of RFID Tags 
•	Limitations of Having People Involved in Everything

Simon Crosby on Revolutionary Architecture Requirements for Edge

An excellent source for industry thought leadership in Edge Computing, Cloud Computing, DevOps, Open Source base on discussions at.the2030.cloud

Simon Crosby on Revolutionary Architecture Requirements for Edge

the2030.cloud Podcast

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