
Implementing coordination between non-transactional resources in modern distributed systems, using Pat Helland's paper as a guide. Explores real-world examples and advanced workflows for robust, scalable enterprise coordination.

Explore DevOps principles for effective collaboration between data scientists and software engineers in machine learning projects, focusing on automated pipelines and best practices.

Explore quantum computing fundamentals, applications, and challenges. Learn to write quantum code and understand its potential in various fields, guided by a Microsoft Quantum Computing expert.

Explores potential pitfalls of event-driven architectures, including strong coupling, accidental complexity, and architectural issues. Provides heuristics to identify and mitigate these problems in event-driven systems.

Learn techniques to transform legacy applications for frequent releases, covering DevOps concepts like feature toggles, deployment automation, and cloud technologies for improved software delivery.

Discover the power of CSS Grid for creating dynamic, responsive layouts with ease. Learn how this game-changing specification simplifies front-end development and enables innovative design possibilities.

Explore techniques and code patterns for high-performance C#, from analysis to optimization. Learn to identify bottlenecks and apply optimization strategies used in database engine development.

Explore unsupervised learning and topological data analysis to uncover hidden insights in complex datasets, with applications in health and finance using Python and R.

Discover how integrating UX into DevOps can save money, enhance customer satisfaction, and improve software development processes while aligning with Agile methodologies.

Explore Turing's revolutionary 'universal machine' concept, its historical context, and far-reaching impact on computer science and technology in this engaging talk.

Architect's journey through three startup rewrites: scaling challenges, critical decisions, and guiding business growth while balancing multiple responsibilities.

Explore lesser-known features in .NET Core 3.0, including GC improvements, diagnostics enhancements, publish options, native interop, and networking advancements for enhanced development and performance.

Learn to code a neural network for image recognition in C# from scratch, covering gradient descent, activation functions, and backpropagation without complex math or external libraries.

Explore pragmatic approaches to Domain-Driven Design, balancing quick benefits with deeper understanding for evolving software practices and achieving DDD's full potential.

Explore Reactive software development for high-performance, scalable solutions. Learn to model business-driven systems with Domain-Driven Design, addressing distribution, concurrency, and latency challenges.

Explore mechanisms for observing and debugging distributed systems, focusing on distributed tracing tools to track transactions across multiple services and execution contexts.

Discover machine learning fundamentals through a hands-on LEGO car project. Learn key concepts, explore autonomous steering, and connect theory to practice in this engaging introduction to AI.

Explore data science techniques for influencing populations and elections, covering prediction markets, segmentation, voter fraud, and psychological manipulation strategies.

Explore real-world applications of drones and AI, understanding core use cases, getting started with the technology, and avoiding pitfalls in building innovative solutions.

Explores why Agile transformations alone won't solve software delivery challenges and how to achieve IT-enabled growth through improved delivery performance, avoiding common digital transformation pitfalls.

Explore domain modeling in F# through the lens of Dungeons & Dragons rules, learning functional programming concepts and practical tips for taming complex systems.