List of episodes
Episode 27: What it Took for Google to Make Changes: Outages and Mean Tweets
September 12, 2018
Google Cloud Platform (GCP) turned off a customer that it thought was doing something out of bounds. This led to an Internet outrage, and GCP tried to explain itself and prevent the problem in the future. Today, we’re talking to Daniel Compton, an independent software consultant who focuses on Clojure and large-scale systems. He’s currently building Deps, a private Maven repository service. As a third-...
Episode 26: I’m not a data scientist, but I work for an AI/ML startup building on Serverless Containers
September 05, 2018
Do you deal with a lot of data? Do you need to analyze and interpret data? Veritone’s platform is designed to ingest audio, video, and other data through batch processes to process the media and attach output, such as transcripts or facial recognition data. Today, we’re talking to Christopher Stobie, a DevOps professional with more than seven years of experience building and managing applications. Curre...
Episode 25: Kubernetes is Named After the Greek God of Spending Money on Cloud Services
August 29, 2018
Google builds platforms for developers and strives to make them happy. There's a team at Google that wakes up every day to make sure developers have great outcomes with its services and products. The team listens to the developers and brings all feedback back into Google. It also spends a lot of time all over the world talking to and connecting with developer communities and showing stuff being worked on. It doesn't do the team any good to build developer produ...
Episode 24: Serverless Observability via the bill is terrible
August 22, 2018
What is serverless? What do people want it to be? Serverless is when you write your software, deploy it to a Cloud vendor that will scale and run it, and you receive a pay-for-use bill. It’s not necessarily a function of a service, but a concept. Today, we’re talking to Nitzan Shapira, co-founder and CEO of Epsagon, which brings observability to serverless Cloud applications by using distributed tracing...
Episode 23: Most Likely to be Misunderstood: The Myth of Cloud Agnosticism
August 10, 2018
It is easy to pick apart the general premise of Cloud agnosticism being a myth. What about reasonable use cases? Well, generally, when you have a workload that you want to put on multiple Cloud providers, it is a bad idea. It’s difficult to build and maintain. Providers change, some more than others. The ability to work with them becomes more complex. Yet, Cloud providers rarely disappoint you enough to make you hurry and go to another provider.