Explore the lifecycle of building and operating a robust serverless platform, treating it as a product for internal and external consumers. This talk covers the crucial phases of ideation, construction (using the AWS Well-Architected Framework), and operation, emphasizing a consumer-centric mindset, operational excellence, and strategies for long-term success.
AI coding tools are powerful but can quickly create unmanageable code if used without discipline. Matt Pocock argues that success with AI in software development comes not from delegating everything, but from applying decades-old engineering fundamentals like TDD, Domain-Driven Design, and creating deep, testable modules. The developer's role shifts from a tactical coder to a strategic system designer.
Ekaterina Gorshkova, author of "Kafka for Architects", discusses her journey with Apache Kafka, from its early adoption in enterprise integration to its modern role as a foundational layer for AI and ML systems. The conversation covers key architectural decisions, the limitations of Kafka, and why the real challenges are often organizational rather than technical.
Java Champion Ben Evans provides a data-driven analysis of Java's health in 2026, arguing against its perceived decline. He covers its robust ecosystem, the core tension between dynamism and integrity, its evolving role in AI, and a detailed roadmap including Project Valhalla and the Vector API.
This GOTO Book Club episode features an in-depth conversation between Sam Newman and Lukasz Dynowski, co-author of "Learning API Styles," exploring the foundational network layer of APIs, various API styles, critical trade-off decisions, and future trends like WebTransport and gRPC. The discussion emphasizes treating APIs as products, understanding consumer context, and the eight key characteristics of a well-designed API, complemented by a cautionary tale on database access.
Marcin Grzejszczak, a Java Champion and Spring Cloud Contract contributor, discusses how a production-breaking typo led to the creation of Spring Cloud Contract. He outlines an AI-powered future for contract testing, leveraging production traffic and OpenAPI specs to generate and validate contracts automatically. Marcin also emphasizes that 'context' is the most underrated pillar of observability, transforming raw logs, metrics, and traces into actionable insights.