Podcasts

Oren Eini on RavenDB, Including Consistency Guarantees and C# as the Implementation Language

Wesley Reisz talks to Oren Eini about the history of RavenDB. RavenDB is a fully transactional NoSQL Document database that implements both CP and AP guarantees at different times. The two discuss those CP/AP distributed systems challenges, the choice of implementation language (C#), and the current plans for RavenDB 6.0, which includes a server-side sharding implementation.

Matthew Clark on the BBC’s Migration from LAMP to the Cloud with AWS Lambda, React and CI/CD

In this podcast Matthew Clark, head of architecture for the BBC's Digital Products, sat down with InfoQ podcast co-host Charles Humble and discussed: the new architecture for the BBC’s online services; the challenges of using Lambda functions including cold start-up, function chaining, debugging and setting the memory profile; the role of DevOps and CI/CD; and the nature of a cloud transformation.

Stefan Prodan on Flux, Flagger, and the Operator Pattern Applied to Non-Clustered Resources

In this podcast, Wesley Reisz talks to Stefan Prodan about Flux and Flagger–two tools built on top of Flux CD’s GitOps Toolkit. After discussing some of the architectural differences between Flux v1 and v2 and discussing some of the GitOps toolkit use cases, the two discuss the operator pattern on Kubernetes.

API Showdown: REST vs. GraphQL vs. gRPC – Which Should You Use?

What is the single best API technology you should always use? Thomas Betts moderated the discussion, with the goal to understand some of the high-level features and capabilities of three popular technologies for implementing APIs. The discussion covers some of the pros and cons of GraphQL and gRPC, and why you might use them instead of a RESTful API.

AI, ML and Data Engineering InfoQ Trends Report

How AI, ML and Data Engineering evolved in 2021 as seen by the InfoQ editorial team. Topics discussed include deep learning, edge deployment of machine learning algorithms, commercial robot platforms, GPU and CUDA programming, natural language processing and GPT-3, MLOps, and AutoML.