InfoQ Homepage Architecture Content on InfoQ
-
Enhance: SSR for Web Components
Brian LeRoux discusses Enhance, a way to build web apps with the pure web standards.
-
Connecting the Dots: API Design in a Distributed World
Ben Gamble explores API Design through the lens of a developer and a consumer of internal and external APIs.
-
Real-Time Machine Learning: Architecture and Challenges
Chip Huyen discusses the value of fresh data as well as different types of architecture and challenges of online prediction.
-
Building Typesafe APIs with tRPC & TypeScript
Brian Douglas discusses how tRPC provides type safety end to end, ensuring the contract for the API boundary can be trusted by default.
-
A Bicycle for the (AI) Mind: GPT-4 + Tools
Sherwin Wu and Atty Eleti discuss how to use the OpenAI API to integrate large language models into your application, and extend GPT’s capabilities by connecting it to the external world via APIs.
-
Microservices Retrospective – What We Learned (and Didn’t Learn) from Netflix
Adrian Cockcroft does a retrospective on microservices, what they set out to do at Netflix, how it worked out, and how things have subsequently permeated across the industry.
-
24/7 State Replication
Todd Montgomery discusses lessons learned in designing systems, especially those based on replicated state machines, that need to continue operating.when things go wrong.
-
Stress Free Change Validation at Netflix
Javier Fernandez-Ivern discusses why a high confidence change process for code bases is needed, how zero-noise diffs help close the confidence gap, and recommended practices for building a diff system
-
API Evolution without Versioning
Brandon Byars patterns of evolution in addition to versioning, the tradeoffs that exist between API elegance, obviousness, and stability, broadening the conversation from API evolution to PM.
-
From Zero to a Hundred Billion: Building Scalable Real-Time Event Processing at DoorDash
Allen Wang discusses the design of the event system including major components of event producing, event processing with Flink and streaming SQL, event format and schema validation.
-
Dark Energy, Dark Matter and the Microservices Patterns?!
Chris Richardson describes how dark energy and dark matter are excellent metaphors for the competing forces (a.k.a. concerns) that must be resolved by the microservices pattern language.