Exactly-Once Semantics Revisited: Distributed Transactions Across Flink and Kafka
Explore challenges and improvements in Exactly-Once Semantics for distributed transactions between Apache Flink and Kafka. Learn about proposed protocol changes and enhanced integration for robust data processing.
5-Minute Practical Streaming Techniques That Can Save You Millions
Learn cost-effective streaming optimization techniques to drastically reduce infrastructure expenses. Discover simple SQL methods and advanced strategies for distributed storage and compute stacks.
Side Effects: The Hidden Complexity in Software Development
Explore how side effects impact software complexity and learn industry solutions. Discover connections between microservices, immutable data, functional languages, and event streaming in tackling this fundamental problem.
Save Money by Uncovering Kafka's Hidden Cloud Costs
Uncover hidden Kafka cloud costs, optimize spending, and justify deployments. Learn to calculate and anticipate bills, explore cost-reduction strategies, and increase efficiency in cloud-based Kafka usage.
Learnings of Running Kafka Tiered Storage at Scale
Explore Kafka tiered storage implementation, deployment, and production learnings at scale. Gain insights on principles, workloads, extended features, and issue mitigation for improved scalability and efficiency.
4 Patterns to Jumpstart Your Event-Driven Architecture Journey
Explore key event-driven architecture patterns for robust, decoupled service communication using Apache Kafka. Learn to implement claim-check, content enricher, message translator, and outbox patterns through live demos.
Autoscaling Confluent Cloud: Should We and How Would We?
Explore strategies for autoscaling Confluent Cloud resources. Learn when and how to implement scaling for cloud-based Kafka, handle ephemeral workloads, and create effective monitoring policies for optimal performance.
The Nuts and Bolts of Kafka Streams - An Architectural Deep Dive
Explore Kafka Streams' internal architecture for efficient application deployment and tuning. Learn threading models, partition assignment, and key configurations to optimize performance and scalability.
The Wonderful World of Apache Kafka
Explore Apache Kafka's ecosystem, including Producer and Consumer libraries, Connect, Streams, and Schema Registry. Gain insights for implementing Kafka in your organization.
Isolating Streaming Ingest and Queries Using RocksDB
Explore a real-time analytics architecture using RocksDB to isolate streaming data ingestion from query serving. Learn about compute-storage separation and memtable replication for efficient data processing.
Analytics: The Final Data Frontier - Why Users Need Your Data and How Pinot Serves It
Explore Apache Pinot's real-time analytics capabilities for user-facing applications, leveraging streaming data from Apache Kafka to deliver rapid insights across diverse business domains.
10 Tips to Enable Data Discovery and Governance in Your Organization
Discover 10 essential tips for enhancing data discovery and governance in your organization, from establishing a common data language to implementing data contracts and fostering collaboration.
Workflow Engines and Event Streaming Brokers - Can They Work Together?
Explore tradeoffs between workflow engines and event streaming brokers for microservices communication. Compare Apache Kafka and Temporal, examining their strengths and implementation challenges in various use cases.
Get More from Your Data: Accelerate Time-to-Value and Reduce TCO with Confluent Cloud on AWS
Explore data modernization with Confluent and AWS. Learn migration strategies, cloud capabilities, and real-time streaming potential. Gain insights from success stories and best practices for unlocking data value.
Building a Dynamic Rules Engine with Kafka Streams
Develop a real-time threat detection system using Kafka Streams. Learn to handle dynamic rule modifications, implement external data feeds, and apply best practices for stream processing.
Need for Speed: Machine Learning in the Era of Real-Time
Explore the evolution of real-time machine learning techniques, addressing low latency, dynamic data adaptability, and resource efficiency challenges in modern ML systems.
Building Nucleus: Community Brands' Real-Time Analytics Platform
Explore the architecture and design of a real-time analytics platform, featuring sub-second latency, cloud-native services, and CDC streams for efficient data processing and customer insights.
Handle Millions of IoT Devices Connected to Kafka via MQTT
Learn to manage massive IoT device networks using Kafka and MQTT for real-time data ingestion, analysis, and control in applications like vehicle communication and predictive maintenance.
Implementación de Arquitecturas Hexagonales - Ejemplo con API Rest, Java, Spring Boot y PostgreSQL
Aprende a implementar arquitecturas hexagonales y crea una API Rest con Java, Spring Boot y PostgreSQL. Domina este enfoque de diseño modular y escalable.
Implementando el Patrón CQRS con Debezium, PostgreSQL, Redis y Kafka
Aprende a implementar el patrón CQRS utilizando Debezium, PostgreSQL, Redis y Kafka para mejorar el rendimiento y la escalabilidad de tus aplicaciones Java con Spring Boot.
Arquitectura sin Servidor: FaaS con Spring Boot y Spring Cloud
Crea funciones FaaS utilizando Java, Spring Boot y Spring Cloud. Explora las ventajas de la arquitectura sin servidor y desarrolla un ejemplo práctico.