cloud2030

Joining us this week is VM (Vicky) Brasseur from Open Source Initiative. Highlights 1 min 20 sec: Types of Companies Supported Companies don’t know why they want to do open source 3 min 23 sec: Can’t Abandon Software into Community Communities don’t instantly form around your software 4 min 22 sec: Is Marketing “Evil” in Open Source Marketing has become associated with advertising which is invasive 5 min 19 sec: Define Marketing Discovering the needs of the market and build to support it Technologists don’t really understand marketing 6 min 17 sec: Issues of Marketing in Open Source What is your goal in using open source? 8 min 15 sec: Everyone has their own Goal in Open Source There is no bullet point list of how to do open source 9 min 29 sec: Issues of Accessing Projects and Support for Free Open source done a poor job of talking about value being provided People assume big projects are paid for by large companies so they take advantage 13 min 19 sec: Difficult to Tell New User’s End State as Communities Invest in Helping them Learn the Technology Some communities set the bar too high for user participation Open source does a bad job in documentation typically 17 min 9 sec: What about CI/CD Systems? Not a significant issue today in open source for contributors 19 min 21 sec: How help People Build Empathy for Users and Maintainers and Impact when Corporations are involved 21 min 29 sec: How Communities Manage Competitive Companies Working Together Foundations play a key role in managing these issues Open source is not corporate! The vast majority of open source is not corporate based Is there less concern for the tiny project’s vs the large corporate projects? Substantial lack of awareness of this in user community 25 min 04 sec: Price to a Community when a Customer Pulls out and Uses Corporate Version of Solution? Should companies pay for open source software they grab from community? Many ways to contribute other than money 27 min 56 sec: Business Continuity Issues in Open Source Free and open source software needs to be part of business continuity plans Vendor software solutions are equally risky as open source solutions 30 min 36 sec: Define Copyleft 4 Freedoms of Copyleft from Richard Stallman Can never change the license of Copyleft software 32 min 43 sec: Open Core Model Analogy of a restaurant with more tables than it can serve Proprietary products with open source APIs / SDKs

Rob Hirschfeld and Greg Althaus discuss their recent experiences with customers in truly understanding what provisioning is and what it is not. They even compare where the word provision comes from.

Joining us this week is Mathew Lodge, SVP of Products & Marketing of Anaconda. Highlights • 2 min 57 sec: What does Anaconda do? o Help data scientists be productive & enterprise AI / Data Science • 3 min 36 sec: How do you interact with Anaconda? o About 2.5 million downloads a month of Anaconda Distribution o Install binary packages for data science to Python • 5 min 55 sec: Who are data scientists? o Data wrangling and understanding • 9 min 12 sec: Data Science as a verb o Understand how to turn data into actionable insight • 10 min 47 sec: How learn to use the tools? Community! o Community around Anaconda open source to share packages, etc • 13 min 26 sec: How does Anaconda change as AI/Machine Learning improve? o Python is standard language with R close behind for data science • 14 min 58 sec: Reproducibility in results o 16 min 01 sec: Model training issue? • 17 min 16 sec: Parking lot on Sam Charrington’s AI Bias Podcasts o TWiML & AI - https://twimlai.com/ • 17 min 43 sec: Training models for limited sets of data for reliability in Edge o Answer by example of Google ImageNet o 20 min 14 sec: Optimizations to reduce processing requirements  Hey Siri example on how iPhone works o 22 min 03 sec: Do models improve over time? Transfer learning • 22 min 30 sec: Accelerative Learning in AI o Fashion example of layering learning o Issues around lack of data for training • 26 min 01 sec: Portability of models via Anaconda • 26 min 48 sec: Cloud Native Model of AI (no longer 2004) o Moved on from Java and distributed computing to Kubernetes o 29 min 05 sec: Giving up data locality (Hadoop) & specialized hardware? o 32 min 42 sec: Cloud model gives private and public options • 34 min 23 sec: How Anaconda play into the Cloud Native data science model? o Data scientists interested in data problems not cloud architecture o Data science as a Service o Kubernetes & Docker installed for you by Anaconda • 38 min 05 sec: WRAP UP o Anaconda Con Videos

Joining us this week is Yves Boudreau from Ericsson for his 2nd Podcast appearance (1st Podcast). Highlights • Edge as an accelerant not having to wait until Edge is built completely • Opportunity Cost using Edge as is; no time to wait • Be Specific when Requesting Services • Internet and Networks are Not Unlimited Pipes • Interesting Use Cases for Edge – Augmented Reality, Drone, Cars, Batteries o Jason Hoffman Podcast for Batteries • Cost savings of where the data processing is done • Open Source software communities at the Edge

Joining us this week is Haseeb Budhani, Co-Founder and CEO, Rafay Systems. Highlights • Building an application deployment platform as close to the Edge as possible • Supporting containers, microservices (move latency sensitive parts of app to Edge) and availability of infrastructure • Definition of Edge to Rafay Systems • Issues of massive amount of data at the Edge to be handled – Use Cases • Will Edge suffer from device specific infrastructure needs? • Application bottlenecks and impact of cloud locations and end user • Placement control of services is still an open issue based on user requirements • IT infrastructure and ownership and performance issues (IT vs Operation Teams) • Cloud and Edge are not competitive; they work together to offer applications best fit

Stephen Spector and Rob Hirschfeld offer commentary on the recent news about a Donkey in Egypt painted to be a Zebra at the local zoo. From this we have created the Donkey - Zebra concept of IT solutions, marketing and sales. Also add in a short discussion on a recent post that Google Cloud has an advantage in the marketplace because of open source; quick hint ~ we don't buy it.

Joining us this week is Richard Primeaux, Head of Product and Strategy, Hangar Technology. Highlights • Cars are the wrong choice for autonomous vehicles – test out on autonomous drones for infrastructure projects (e.g. new buildings, cell towers, …) • Mission plans delivered to drone for execution as a robot • What is a robot? Difficult – Dangerous – High Degree of Repeatability – Dull Tasks • Robot is controlled from program that is run independent of a controller • 4-D visual insights delivered to customers • Robotics as a System ~ requires a great deal of components for success; not just electronics • What an Edge infrastructure will look like to support these robots • GPS accuracy is not enough for flying robotics • Supporting external influences that happen in real time • Building multi-vendor edges coordinating data • Discussion on how car automation can learn from drone automation

Joining us this week is Mike D. Kail, previously the CTO of Cybric and Yahoo’s CIO and SVP of Infrastructure. Highlights • RANT Cast on Cybersecurity Regulations from Governments o Security is Important but NOT a Priority • Culture around Security is Lacking • Time for Security Tech to Include UI Testing and Consider User Experience • Confusing on Not-Working Security Settings and Profit Motives o Security thru Transparency • Accountability of Provider in Turning off Security based on Requests • Definition on Distributed Ledgers / Blockchain & Scalability Challenges • Promise of Blockchain and Good Application for It / Digital Identity • Zero Trust Security Overview • Equifax Example and Regulations

Joining us this week is James Ferguson, Director of Cloud Consulting, JBC Labs. Highlights • Overview of JBC Labs’ Jump Box Central Kubernetes Solution • State of Kubernetes Today • Concept of Kubernetes as an Application Platform • Functions as a Service • Service Mesh and Kubernetes

In this recap, Rob Hirschfeld and Stephen Spector look back over the past year and 50 L8istSh9y podcasts. The discussion highlights the main themes of Edge Computing, DevOps and SRE, Open Source, and our new start into Blockchain. Follow our new Podcast blog athttps://medium.com/@l8istsh9y.