In this special episode, we look back at the first year of Serverless Chats.
Play this episodeIn this episode, Jeremy chats with Tim Wagner about the history behind AWS Lambda, why the stateless versus stateful debate rages on, how to use serverless as a supercomputer, what innovations are still needed, and so much more.
Play this episodeIn this episode, Jeremy chats with Adrian Hornsby about why you need to embrace failure at scale, how to avoiding cascading failures, when to cache for resiliency, and much more.
Play this episodeIn this episode, Jeremy chats with Guillermo Rauch about the difference between front-end and backend serverless, how we should think about and build for scale, why latency down to the first contentful paint is so important, and so much more.
Play this episodeIn this episode, Jeremy chats with Jared Short about why you shouldn't try to master every cloud service, what's wrong with the "lift and shift" approach, why thinking about transparency right from the beginning will result in better applications, and a lot more.
Play this episodeIn this episode, Jeremy chats with Linda Nichols about why modern cloud developers should be writing less code, how new deployment processes affect the testing culture, why Ops teams are still really important, and much more.
Play this episodeIn this episode, Jeremy chats with Mike Roberts about his new book, why Java shops should be just fine moving to AWS Lambda, how we need to approach testing serverless applications, and much more.
Play this episodeIn this episode, Jeremy finishes his chat with Gareth McCumskey about serverless use cases including parallel compute, email processing, cron jobs, offline/async processing and machine learning.
Play this episodeIn this episode, Jeremy chats with Gareth McCumskey about a number of production-ready serverless use cases including RESTful APIs, GraphQL, WebSockets, and capturing clickstream data in PART 1 of this two-part conversation.
Play this episodeIn this episode, Jeremy chats with Alex DeBrie about why he wrote the DynamoDB Book, what are some key concepts to keep in mind when modeling data, and how using the right strategies can help you create more powerful single table designs.
Play this episodeIn this episode, Jeremy chats with Stephen Pinkerton and Darcy Rayner about how organizations are adopting serverless, what enterprises like DataDog are doing with it, and what comes after serverless.
Play this episodeIn this episode, Jeremy chats with Susanne Kaiser about the problems with poor software design, how Wardley Maps can help you focus on your core business domains, what are the patterns and practices of Domain Driven Design, and how they can help you build better serverless backends.
Play this episodeIn this episode, Jeremy chats with Paul Swail about the types of messaging systems available from AWS, how to use them with your serverless applications, and why thinking asynchronously is important to building resilient systems.
Play this episodeIn this episode, Jeremy chats with Eric Johnson and Alan Tan about why HTTP APIs should be your first choice, the path to REST API feature parity, how private integrations work, implementing CORS and authentication more easily, and so much more.
Play this episodeIn this episode, Jeremy chats with Lynn Langit about why big data is outgrowing traditional systems, how bioinformatics and genomics are generating the biggest data scale ever seen, and why serverless and the cloud are making it easy for researcher to process this data faster and more economically.
Play this episode