
Explore event-driven autoscaling for serverless Java on Kubernetes using KEDA and Knative, focusing on Apache Kafka metrics for efficient scaling.

Explore common pitfalls in event-driven architecture and learn strategies to overcome challenges in naming, evolution, and storage for more robust system design.

Explore and understand various 'event' related software concepts, their origins, intentions, and applications in modern IT landscapes.

Explore lessons from Wix's transition to event-driven architecture, covering atomic operations, data consistency, and essential debugging tools for large-scale microservices.

Explore observability beyond logs, metrics, and traces. Learn holistic system monitoring approaches, creating richer events aligned with business needs, and adding value through comprehensive system understanding.

Explore distributed transactions beyond traditional approaches, delving into innovative solutions for managing complex data operations across distributed systems.

Explore serverless compute options for event-driven architectures. Learn to leverage AWS Lambda and ECS on Fargate for scalable, efficient business logic execution in response to events.

Explore the evolution of messaging and event-driven architecture, from enterprise integration to serverless computing, with practical insights for building on Red Hat OpenShift.

Explore CloudEvents project for serverless interoperability, covering metadata standards, current applications, SDKs, future directions, and potential industry use cases.

Explore event-driven business process management using Flowable BPM and Kafka. Learn to create scalable orchestrations of microservices, devices, and humans through high-level models.

Explore event-driven microservices architecture using Apache Kafka, covering design patterns, advantages, and implementation strategies for efficient, low-latency systems.

Explore best practices for serverless applications, including infrastructure as code, local debugging, state management, continuous delivery, and safe deployments. Learn from real-world case studies.

Explore event-driven architecture using Spring, Axon, and Pivotal Cloud Foundry to build evolutionary microservices. Learn CQRS, event sourcing, and cloud-native development techniques.

Explore Apache Kafka's role in modern data architectures, focusing on its streaming platform capabilities, ecosystem, and design patterns for addressing enterprise data flow challenges.

Learn the fundamentals of Apache Kafka, a powerful event streaming system for distributed architectures. Explore its key features, use cases, and practical implementation through code examples.

Explore event-driven architecture's benefits in modern systems, including autonomy, scalability, and resilience. Learn design principles and practical techniques for leveraging events effectively.

Explore event-driven microservices architecture using Kafka for scalable, fault-tolerant, and high-performance distributed systems. Learn implementation strategies and best practices for efficient communication between services.

Explore event-driven microservices architecture using Kafka for scalable, fault-tolerant, and high-performance distributed systems. Learn to leverage Kafka's publish-subscribe model for efficient inter-service communication.

Learn to build event-driven microservices using Apache Kafka's Streams API. Explore real-world examples, collaborative services, and techniques for creating bounded contexts with asynchronous cores.

Explore data consistency challenges in microservices architecture and learn practical solutions, patterns, and techniques for maintaining data integrity across distributed systems.

Explore balancing data encapsulation and accessibility in microservices using shared, immutable record sequences for scalable architectures like Uber and Netflix.