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    News

    THE ARCHITECHT SHOW

    A weekly podcast about the business of cloud computing, artificial intelligence and data science. Hosted by Derrick Harris.

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    Latest Episodes:
    Ep. 61: Hortonworks CEO on the shifting nature of big data, from edge computing to GDPR Jun 21, 2018
    Show notes

    In this episode of the ARCHITECHT Show, Hortonworks CEO Rob Bearden discusses the changing nature of big data technologies and business models, particularly as architectural models like IoT, edge computing, cloud computing and containers impart their influence on data processing. Bearden also explains how these trends and others are reshaping open source business models, and how GDPR has customers looking for answers.

    This week's episode is sponsored by MongoDB, Neo4j and Replicated.


    Ep. 60: GitLab CEO on competing with Microsoft, betting on Kubernetes and learning to scale Jun 14, 2018
    Show notes

    In this episode of the ARCHITECHT Show, GitLab co-founder and CEO Sid Sijbrandij discusses his company and the open source project behind it, both of which received a lot more attention lately on the heels of Microsoft announcing its acquisition of GitHub. Sijbrandij explains the evolution of GitLab into a full devops platform, and also shares his thoughts on the GitHub acquisition, the power of Kubernetes as an infrastructure platform, managing serverless applications, and what the company learned after a prolonged database incident in 2017.

    This week's episode is sponsored by MongoDB, Neo4j and Replicated.


    Ep. 59: Streamlio founders on why the world needs a new streaming data platform Jun 06, 2018
    Show notes

    In this episode of the ARCHITECHT Show, Streamlio co-founders Karthik Ramasamy and Matteo Merli discuss their company's new streaming data platform, which is built atop Apache Heron, Apache Pulsar and Apache BookKeeper -- technologies the two helped develop while at Twitter and Yahoo, respectively. They explain how the underlying technologies differ from more well-known open source projects -- including Apache Kafka -- and the ideal use cases for the type of performance Streamlio claims.

    Additionally, GeekWire cloud and enterprise editor Tom Krazit is on to discuss Microsoft's $7.5 billion acquisition of GitHub. Tom and host Derrick Harris analyze why the deal happened and what this might mean for Microsoft, it cloud competitors and the world of GitHub alternatives.

    This week's episode is sponsored by MongoDB, Neo4j and Replicated.


    Best of the ARCHITECHT Show: Fast.ai founders on the state of deep learning and the real threat of AI May 30, 2018
    Show notes

    This episode originally aired on Aug. 18, 2017. The news segment has been edited out, so it is just the interview. The episode seems particularly timely now given the ongoing discussion about AI and the economy, but also because of the current debate over the limitations of deep learning.

    In this episode of the ARCHITECHT AI Show, Derrick Harris speaks with Jeremy Howard and Rachel Thomas of Fast.ai, where they teach popular online courses aimed to get students up and running with deep learning. Among other things, Howard and Thomas discuss the promise of deep learning and early student successes (including Hot Dog, Not Hot Dog app from Silicon Valley), as well as the threat of job losses from AI and how seriously we should take Elon Musk's AI warnings.


    Ep. 58: Timescale founders on time-series data for IoT and so much more May 24, 2018
    Show notes

    In this episode of the ARCHITECHT Show, Timescale founders (and TimescaleDB creators) Ajay Kulkarni and Mike Freedman discuss their company, which began life as an internet of things platform, and the popular time-series database that serves as its foundation. And while time-series data certainly has a place in IoT, Kulkarni and Freedman explain how developers and companies across many industries are using TimescaleDB for everything from monitoring to security. Other topics include data privacy, GDPR and succeeding commercially with an open source database.

    This week's episode is sponsored by MongoDB and Replicated.


    Ep: 57: Condé Nast CTO on pretty much everything, including Node.js, deep learning, and paywalls May 17, 2018
    Show notes

    In this episode of the ARCHITECHT Show, Condé Nast CTO Ed Cudahy discusses a wide array of topics, ranging from standardizing development across 20+ publications (thanks in part to Node.js and Amazon Web Services) to how the publishing giant is using computer vision to step up its game for consumers and advertisers -- especially for its fashion titles. Cudahy also talks about Condé Nast's use of the open source Presto technology for analyzing data, getting the paywall right financially and technologically, and much more.

    This episode begins with an introduction to a new artificial intelligence startup called AI Reverie (disclaimer: I am an adviser), which is generating synthetic data for training deep learning models, by building photo-realistic environments. I speak with co-founder and CEO Daeil Kim, who was previously a data scientist at the New York Times.


    Ep. 56: Atlassian infrastructure head on moving to the cloud and Kubernetes May 09, 2018
    Show notes

    In this episode of the ARCHITECHT Show, Atlassian head of infrastructure Mike Tria discusses the company's years-long effort to re-architect the hosted versions of its JIRA and Confluence applications using Kubernetes and Amazon Web Services. Interestingly, however, while Tria says AWS was definitely the right choice for Atlassian when it began this migration, he has seen Google make very big strides in the past few years and it is on his radar as Atlassian's cloud usage evolves. He also talks broadly about the idea of multi-cloud architectures and how microservices and Kubernetes can make that a reality.

    This week's episode is sponsored by MongoDB and Replicated.


    Ep. 55: Gremlin CEO on the role of chaos engineering inside Amazon, Netflix and your company May 02, 2018
    Show notes

    In this episode of the ARCHITECHT Show, Gremlin co-founder and CEO Kolton Andrus discusses the company's approach to chaos engineering, a practice he helped pioneer during his years at Amazon and Netflix. Andrus also explains how chaos engineering is now catching on inside many smaller startups and mainstream enterprises that recognize the importance of keeping their applications online -- a goal that can be complicated by the unique failure patterns of cloud and microservices architectures.

    This week's episode is sponsored by MongoDB and Replicated.


    Ep. 54: Zillow analytics boss on making better predictions thanks to data and deep learning Apr 25, 2018
    Show notes

    In this episode of the ARCHITECHT Show, Zillow Chief Analytics Officer Stan Humphries discusses about a wide range of topics, including his unique path from policy scholar to web analytics exec, and how an explosion data helped Zillow grow into the business it is today. Humphries, who helped create the company's Zestimate tool for predicting home values, also shares some insights into how deep learning -- and computer vision, in particular -- helps Zillow further improve its accuracy. It does this in part by analyzing images to extract richer information (e.g., how well a home is maintained, price of appliances, etc.) than simply relying on square footage, neighborhood and standard home-buying data.

    This episode is sponsored by Datadog and MongoDB.


    Ep. 53: Jay Kreps talks cloud-native, Kafka competitors and a resurgence of enterprise IT innovation Apr 18, 2018
    Show notes

    In this episode of the ARCHITECHT Show, Apache Kafka co-creator (and Confluent co-founder) Jay Kreps returns to talk about a wide range of topics, including an uptick in Kafka alternatives both open source and commercial. Among a range of other things, Kreps also shares his thoughts on "big data" IPOs, what type of open source project makes a good business, and why enterprise IT is becoming a driving force in software innovation.

    This episode is sponsored by Datadog and MongoDB.


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