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.

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.

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.

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.

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.

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.

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.

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.

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.

In this episode of the ARCHITECHT Show, SWIM.AI co-founder, Chris Sachs, and CTO, Simon Crosby, discuss their new company that just emerged from stealth mode and is bringing artificial intelligence to edge devices. Sachs and Crosby explain how they're able to train and run deep learning models on distributed networks of low-power processors, and how they use unsupervised learning to make sense of "gray data" -- data streaming off of sensors that might not have clear value, except for helping to predict future events in those systems.