Podcasts

Increasing Users' Data Agency: from BlueSky's AT Protocol to the Local-First Software Movement

Martin Kleppmann, an associate professor at Cambridge and author of Designing Data-Intensive Applications, discusses the evolution of data systems over the last decade, mainly the shift from monolithic databases to modular building blocks. Kleppmann underlines the importance of moving from cloud-centric data storage systems to decentralised data storage similar to Bluesky’s AT protocol.

Somtochi Onyekwere on Distributed Data Systems, Eventual Consistency and Conflict-Free Replicated Data Types

In this podcast, InfoQ spoke with Somtochi Onyekwere on recent developments in distributed data systems, how to achieve fast, eventually consistent replication across distributed nodes, and how Conflict-free Replicated Data Type (CRDTs) can help with conflict resolution when managing data.

Effective Error Handling: a Uniform Strategy for Heterogeneous Distributed Systems

Jenish Shah, a back-end engineer focused on distributed systems at Netflix, provides more insights into how to handle failures in a distributed systems setup. He shares details on how he built a library that handles exceptions uniformly, regardless of the underlying communication protocol.

Observability in Java with Micrometer - a Conversation with Marcin Grzejszczak

Marcin Grzejszczak, a veteran of observability spaces, discusses the current state of the space, including its evolution and the fine-grained details of how to instrument your system to capture all relevant information at every level - both inside services and between services communication.

Microfrontends: Heuristics, Patterns and Antipatterns by Luca Mezzalira

Luca Mezzalira, a pioneer and enthusiast of microfrontends, discusses the microfrontends' evolution over the past years, underlying a set of heuristics that will allow you to gradually implement them in your product. He also touches on approaches to obtain quick feedback, both in your inner and outer development loops.