Wednesday, August 28, 2019

2019 Mid-Year Update

SHOW: 412

DESCRIPTION: Brian talks with Brandon Whichard (@bwhichard, Co-Host of Software Defined Talk podcast) about the tech/cloud trends that have shaped the first half of 2019.

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Topic 1 - Welcome to the show. I’ve been listening to your show, Software Defined Talk, for quite a while. Tell us about your show, your co-hosts and the types of things you discuss on the show?

Topic 2 - What are some of the biggest trends you’ve seen (or been discussing) so far in 2019? Anything really surprise you?

Topic 3 - AWS has continued to be the leading public cloud for a decade now. Do you see anything slowing AWS down?

Topic 4 - There were lots of articles earlier in the year about big public cloud contracts between web companies and the public cloud (hundreds of millions in cloud spending). Many of those companies are now struggling as they have gone IPO. If they struggle to make revenue (and subsequently their cloud payments), do you see this having any effect on sentiment about public cloud? 

Topic 5 - There is starting to be some noise in the news and the markets about a potential economic slowdown. How much do you think about what that might mean to the tech industry, and subsequently buyers and users of tech? Sometimes in slower times, we see the creativity of new tech emerge (2001 - mass websites; 2007/8 - AWS and iPhone, 2019/2020 - ??)

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Wednesday, August 21, 2019

Blockchain beyond the Database

SHOW: 411

DESCRIPTION: Brian talks with Brian Platz (@bplatz, CEO/Co-Founder at @Flureee) about blockchain use-cases outside of cryptocurrencies, immutable data, graph databases, and building APIs on data. 

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Topic 1 - Welcome to the show. Before we jump into Fluree and the breadth of technologies that power the stack, let’s talk about your background and what drove you to create Fluree. 

Topic 2 - Let’s start with the problems - why does the industry need a new data management stack? What types of use-cases or data-management problems does the Fluree stack address?

Topic 3 - Let’s talk about the Fluree stack, because it brings together several technologies (e.g. Blockchain, GraphQL, etc.) that have gotten a lot of hype, but people aren’t always sure how they should be used.  

Topic 4 - When we step back and look at the Fluree stack, we see a focus around distributed architectures, immutability, graph data richness. Much of this sounds like it aligns to aspects of what is known as the Semantic Web. Are there connections there?

Topic 5 - Let’s talk about your philosophy about API management and exposing data at the data-layer instead of the app-layer. What are the pros and cons of this sort of trade-off, and what are some of the things either data or app teams need to consider with this approach?

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Wednesday, August 14, 2019

Etsy's Big Data Cloud Migration

SHOW: 410

DESCRIPTION: Aaron and Brian talk with Kevin McHale (Senior Staff Engineer at Etsy) about the migration of their Big Data / Data Science platform from on-premises to Google Cloud, the business drivers for the migration, and the lessons the team has learned throughout the multi-year process.

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Topic 1 - Welcome to the show. Before we dive into your work at Etsy, tell us a little bit about your background prior to Etsy - you’re pretty good at math. 

Topic 2 -  You’ve been working on two very interesting projects at Etsy - both building/evolving the data platform, and helping to manage the migration to Google Cloud Platform (GCP). Let’s start by talking about the Etsy data platform.

Topic 3 - What have been some of the business drivers that are pushing the data platform to collect more information, to become more cloud-native, and to better enable data pipelines? 

Topic 4 - At some point in 2017-18, Etsy decided to migrate some of the platforms to Google Cloud. Tell us about that decision-process, and how the migration has been going. What have been some of the lessons learned? 

Topic 5 -  How does working with Google Cloud (or just being in the public cloud) help accelerate the work that you’re doing on evolving the Etsy data platform? 

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Wednesday, August 7, 2019

New Challenges for IT Professionals

SHOW: 409

DESCRIPTION: Corey Hynes, (@CoreyJHynes, CEO Learn on Demand Systems, @LoDSystems) talks about the need for hands-on ways to learn new skills, train IT professionals, and how innovative companies and individuals are adapting to the new culture of tech learning challenges. 

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Topic 1 - Welcome to the show. We’re obviously passionate about helping people learn with this podcast, but why don’t you tell us about your background and what makes you passionate about helping people learn at Learn on Demand Systems. 

Topic 2 - While we spent a lot of time covering the evolution of cloud technologies, the way that people learn today has evolved enormously as well. Help us understand the breadth of ways that Learn on Demand helps people learn - from Labs to Challenges to other forms? 

Topic 3 - One product that you recently started offering is called “IT Pro Challenges”. We’ve heard you say in other forums that you’re a big believer in hands-on learning. How does IT Pro Challenges help make sure that people get the actual skills they are learning?

Topic 4 - A big part of learning is motivation - finding the time to learn, finding the motivation to try something new. What are some of the things that Learn on Demand Systems does to help motivate people to engage in the various types of learning systems you offer?

Topic 5 - What is your message to people (individuals, managers, etc.) watching all these new technologies emerging and trying to figure out how to either pick the right learning/technology path for themselves, or generally putting a plan in place to improve themselves? 

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Wednesday, July 31, 2019

The Rapidly Evolving Network

SHOW: 408

DESCRIPTION: Brian talks with Devesh Garg (Co-Founder/CEO of @arrcusinc) about the growth of Arrcus, the evolution of the network (5G, IoT Edge, DC to Cloud, SDN), and the new economics of networking. 

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Topic 1 - Welcome back to the show. It’s been just about a year since we last spoke, you were just launching the company (amazing engineering experience and advisors). What has the last year of disrupting the networking industry been like? Tell us how the latest round of funding will help Arrcus grow. 

Topic 2 - Everything is connected now (way behind user-devices), everything is collecting and transmitting data, and we have no patience for the delay. Paint us a picture of how the network is evolving to deal with 5G, AI/ML at the edge, DC to Cloud interconnects, etc. 

Topic 3 - Arrcus has been focused on bringing better speeds and agility to networking. As more networking moves to SDN and SoC, how have companies been able to measure the gains that come from these new approaches to networking?  

Topic 4 - Arrcus recently announced multiple high-density 100GbE and 400GbE routing solutions for Hyper-scale Cloud, Edge, and 5G networks and ArcIQ, “AI-driven analytics platform that provides enhanced real-time visibility, control, and security”. Tell us about the new solutions and how this changes the model for network and cloud operations teams

Topic 5 - What have you found to be the most critical areas of focus for the modern network operator, especially given the pace of innovation that offers them not only opportunity but also the challenges of keeping up with change? 

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Wednesday, July 24, 2019

Amazon's journey to MARS

SHOW: 407

DESCRIPTION: Aaron and Brian talk with Stu Miniman, (@stu, Sr Analyst, Host of @theCUBE, and GM of Content at SiliconANGLE Media) about the Amazon re:MARS event, and how it addressed technology trends in Smart Cities, Drones, Voice-Controlled Apps, IoT, Alexa, AR/VR, and AI/ML.

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Topic 1 - Welcome back to the show. You get to talk to more communities that we do. What are some of the interesting topics, trends or people you’ve seen over the last few months of traveling and events? 

Topic 2 - Jeff Bezos has apparently been hosting his own MARS event for a while now. Why did it become an Amazon event now? 

Topic 3 - MARS is Machine Learning, Automation, Robotics and Space. Some of that overlaps with AWS (Machine Learning, Automation), and some is on the fringe of AWS (Space). Who was attending this event and what were the overall themes?

  • Sessions include Smart Cities, Drones, Voice-Controlled Apps, IoT, Alexa, AR/VR, AI/ML

Topic 4 - There seem to be a number of sessions that included venture capital. Do you see this event as being less like a normal tech event, and more like a blurring of tech and VC, because some of these topics could involve significant levels of funding (smart cities, manned space travel, etc.)? 

Topic 5 -  AWS recently had an event called re:Inforce, which was targeted at Security. Do you think we’re beginning to see the disaggregation of re:Invent into specialty events and sub-categories of technology interests? 

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Wednesday, July 17, 2019

Elastic for Search & Analytics

SHOW: 406

DESCRIPTION: Brian talks with Steve Kearns (@skearns64, VP Product Mgmt @Elastic) about how search is being used in many ways of our day-to-day life, how search has evolved to be a core element of Analytics platforms, and how Elastic search is evolving to help the next generation of developers in area like APM, Security, Metrics, etc. 

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Topic 1 - Welcome to the show. Before we get into your work at Elastic, can you tell us a little bit about your background? 

Topic 2 - Let’s start with the basics of search. Everyone knows about how they use Google for their day-to-day activities, but what are some of the common uses of search in a business or IT context that people might not think about or know about?  

Topic 3 - Elastic is mentioned very frequently in the “search” discussion, but then it’s also included in a number of popular “stacks” (ELK stack, EFK stack, etc.). How does Elastic think about search being a core component of many other stacks (Metrics, APM, Security, etc.), some of which you may not have any immediate visibility to?

Topic 4 - What are some of the evolutions that are happening around search (or broader stacks) that are interesting to developers? 

Topic 5 - How does Elastic think about how or when customers (or developers) are consuming Elastic technologies, across OSS, commercial software and SaaS offerings? 

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