Sam Keen, author of 'Clean Architecture with Python', discusses with Max Kirchoff how to pragmatically apply architectural principles to Python. They explore the critical link between architecture and testability, thoughtful dependency management through layered design, and how these principles enhance modern AI-assisted coding workflows by providing clear structure and scope.
In this panel discussion, Holly Cummins, Abby Bangser, and Adrian Mouat explore the inherent conflict between security and developer experience. They argue that traditional security, often driven by fear and restrictive policies, can lead to 'Shadow IT' and greater insecurity. The solution proposed is a platform engineering approach, which centralizes security expertise to provide secure defaults, infrastructure guardrails, and a clear shared responsibility model, thus enabling development teams to deliver value quickly and safely without needing to become security experts themselves.
A deep dive into the hardware design and implementation of HQC, a post-quantum cryptography scheme. The talk covers performance and security bottlenecks, detailing novel solutions for efficient polynomial multiplication by leveraging sparsity and constant-time methods for generating fixed-weight vectors to thwart side-channel attacks.
David Anderson explains his "Value Flywheel Effect" framework, a model for continuous cloud modernization that joins business and technology strategy. He details how creating psychological safety, a robust serverless-first technology strategy, and a focus on system design over code builds the necessary momentum and shared context to harness future technologies like AI effectively.
CircleCI's Olaf Molenveld and AWS's Julian Wood explore the evolution of CI/CD, drawing parallels between managing production code and the 'factory' that builds it. They cover the shift to microservices pipelines, optimization strategies, platform engineering trends, and how AI is set to reshape DevOps by acting as an expert system for developers.
Susanne Kaiser discusses her book "Architecture for Flow," which integrates Domain-Driven Design, Wardley Mapping, and Team Topologies into a holistic framework. She introduces the "Architecture for Flow Canvas," a practical tool for designing and evolving adaptive socio-technical systems by starting with the problem space and aligning software design with team organization and business strategy.