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

Explore common pitfalls in distributed systems through Hazelcast's experiences, gaining insights for building robust architectures.

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

Explore Google Cloud's planet-scale data replication infrastructure, challenges, and approaches for ensuring global data distribution, durability, and availability.

Gain insights on implementing observability for distributed systems, covering maturity stages, best practices, and scaling strategies. Learn from real-world experiences.

Explore OpenTelemetry Metrics' revolutionary impact on microservices and libraries, understanding its benefits, concepts, and API/SDK entities for improved observability.

Explore a platform bridging data management gaps, offering storage-agnostic abstractions and ACID guarantees across streaming, batch, and random-access storages for flexible, consistent data handling.

Explore the Accord Consensus Protocol for global ACID transactions, comparing it with previous protocols and understanding its industry-leading characteristics.

Explore architectural drivers, communication models, and distributed consensus in complex blockchain systems. Learn from real-world experiences in designing and implementing large-scale node networks.

Explore hands-on tracing and APM for Java applications. Learn implementation, benefits, and OpenTracing concepts using Elastic APM and Jaeger agents.

Explore Data Mesh and Data Fabric paradigms, their principles, benefits, and challenges in the shift towards decentralized data access architectures.

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

Explore TigerBeetle's innovative approach to memory management in database systems, focusing on performance optimization and efficient resource utilization.

Explore Hazelcast's ecosystem beyond distributed caching, delving into advanced concepts like CRDTs, HyperLogLog, CP Subsystem, and real-time stream processing.

Explore modern telemetry for cloud-based distributed systems, covering observability pillars, AWS services, OSS integration, and reference architectures for enhanced monitoring.

Explore chaos engineering principles and AWS Fault Injection Simulator to build resilient cloud systems through controlled experiments and automated stress testing.

Develop real-time cloud native streaming apps using Java, Golang, Python, and Apache NiFi with Apache Pulsar on Kubernetes.

Explore next-gen enterprise workflows and learn how to implement observability at scale for improved system monitoring and performance optimization.

Explore the Saga Pattern for managing distributed transactions in cloud-native systems. Learn implementation strategies and best practices for data consistency.

Explore innovative approaches to debugging in cloud-native environments, enhancing problem-solving skills and efficiency in complex systems.

Explore strategies for graceful degradation in systems when faced with failures, ensuring resilience and maintaining core functionality.