InfoQ - Agile

Celebrating 20 Years of InfoQ

InfoQ — Mon, 08 Jun 2026 11:35:00 GMT

InfoQ celebrates its 20th anniversary. To mark the occasion, we have published a walk-through of the trends InfoQ called early, where they sit on the adoption curve today, and how that curve may evolve over the next decade.

By InfoQ

Article: The Technology Adoption Curve, Twenty Years On

Renato Losio, Dio Synodinos — Mon, 08 Jun 2026 08:30:00 GMT

Today, June 8th, InfoQ celebrates 20 years. This is not a comprehensive history, but a deliberately selective look at the technologies and practices InfoQ identified early, where they sit on the adoption curve in 2026, and how that curve may evolve over the next five to ten years.

By Renato Losio, Dio Synodinos

Presentation: Architecting a Centralized Platform for Data Deletion at Netflix

Vidhya Arvind, Shawn Liu — Thu, 04 Jun 2026 10:26:00 GMT

The speakers discuss the architectural challenges of executing safe data deletion across distributed datastores. Balancing durability, availability & correctness, they explain how to orchestrate multi-system deletion propagation without impacting live traffic. They share lessons on controlling tombstone accumulation, building continuous audit loops, and gaining trust with a centralized platform.

By Vidhya Arvind, Shawn Liu

Podcast: Requirements Analysis for Architects: a Conversation with Sonya Natanzon

Sonya Natanzon — Mon, 01 Jun 2026 11:00:00 GMT

Michael Stiefel spoke to Sonya Natanzon, about the intersection of technical and social aspects of software architecture. Understanding the business and how a company operates is more important than the specific technologies used. Effective requirements analysis requires focusing on problems to be solved that describe good and bad outcomes, rather than statements of need or solution statements.

By Sonya Natanzon

Presentation: Building Evals for AI Adoption: from Principles to Practice

Mallika Rao — Fri, 29 May 2026 12:00:00 GMT

Mallika Rao discusses the hidden risk of evaluation debt in production AI systems, drawing on her experience at Twitter, Walmart, and Netflix. She explains why traditional metrics fail modern architectures, breaks down a five-layer evaluation stack spanning infrastructure and UX, and shares a diagnostic maturity model to help engineering leaders eliminate silent semantic failures.

By Mallika Rao