
Explore the balance between centralization and decentralization in large-scale software development, examining Twitter's strategies and introducing Strato, a new serverless platform for enhanced engineer productivity.

Explore service discovery in microservices, focusing on Netflix's Eureka. Learn about high availability, multi-datacenter awareness, and favoring availability over consistency in network partitions.

Explore distributed tracing in microservices: concepts, implementation patterns, and troubleshooting techniques. Learn about OpenTelemetry and its benefits for modern, polyglot environments.

Explore Kafka's exactly-once semantics, including idempotence and transactions. Learn about distributed transaction mechanics, two-phase commit protocols, and future improvements for stream processing.

Explore stream processing challenges and solutions at internet scale, covering event ingestion, real-time data processing, and performance optimization techniques for large-scale applications.

Explore advanced distributed tracing techniques to pinpoint latency issues in complex microservice architectures, moving beyond traditional monitoring approaches for more effective system analysis.

Explore capacity management alternatives to rate limiting, using Little's Law and concurrency control for better API performance and resource isolation in microservices architectures.

Explore Farfetch's journey in migrating 500 microservices to Kubernetes, focusing on the creation of blueprints to manage service metadata and dependencies for improved agility and control.

Explore business capability mapping for effective microservice design, enhancing agility and product velocity through alignment with organizational capabilities and technical concerns.

Explore gRPC for ASP.NET Core, a high-performance framework for creating lightning-fast microservices and frontend applications, with insights on its advantages, implementation, and integration with existing technologies.

Explore Apache Kafka's event streaming platform for .NET developers, covering architecture, pub/sub messaging, and real-time stream processing applications at scale.

Explore API styles like GraphQL, gRPC, and REST, understanding their strengths and limitations to make informed decisions for your specific application context and deliver exceptional developer experiences.

Explore alternatives to HTTP for microservices communication, including messaging and RPC. Learn benefits and challenges of different approaches for efficient, scalable, and resilient architectures.

Explore near-real-time data analytics using Apache Kafka streams. Learn to process, aggregate, and distribute large volumes of data efficiently, moving beyond traditional ETL methods for instant insights.

Explore microservices and Kubernetes from a .NET Core perspective, covering key concepts, demos, and future trends in distributed systems architecture.

Explore serverless containers with Knative and Cloud Run, combining agility and flexibility. Learn deployment, management, and modernization through demos and a case study of transforming a monolith into microservices.

Explore challenges and solutions for tracking logs and debugging in microservices, covering clock synchronization, event ordering, and distributed systems concepts.

Explore refactoring patterns and steps to transform a non-DDD SOA system into a domain-driven design approach, covering key concepts, implementation strategies, and decision-making processes.

Explore information hiding, coupling, and cohesion in microservices architecture, applying concepts from structured programming to modern system design for improved deployability and modularity.

Explore business capability mapping for effective microservice design, enhancing organizational agility and product velocity through strategic alignment and improved integration.

Modernizing the architect's role: strategies for mentoring, scaling processes, and maximizing efficiency in microservices environments. Explore principles to guide teams towards success and redefine the architect as a peer.