
Explore digital signal processing with Kafka Streams, transforming time-domain signals to frequency domain using FFT. Learn to build a precise frequency alert system and visualize results in real-time.

Explore scaling strategies for Kafka, including horizontal and vertical scaling, replication techniques, and routing events between clusters. Learn to overcome bottlenecks and manage large-scale data processing effectively.

Optimize Kafka Connect clusters for scalability. Learn best practices to configure and manage Kafka Connect effectively, ensuring successful integration of external systems with Apache Kafka at scale.

Learn to create powerful data pipelines by combining Apache Kafka and InfluxDB for real-time processing, analysis, and visualization of large-scale data, especially in IoT applications.

Explore Lyft's real-time optimization platform evolution, focusing on streaming infrastructure for marketplace balance, scalability, and decision-making using Kafka and data science tools.

Explore a novel system for microservices that handles state, communication, and consistency. Learn how it complements event-processing systems for complex control flow and coordination in distributed applications.

Explore NASA's use of Kafka for real-time astronomy data sharing, including architectural choices and OAuth2 implementation for public access in the General Coordinates Network.

Explore strategies for modernizing data architecture, from technical aspects like JSON Schema and OpenTelemetry to human factors like building trust and adopting a product-focused mindset.

Explore innovative incremental snapshot techniques for Debezium CDC connectors. Learn to pause, resume, and parallelize snapshots, and customize snapshot contents for efficient data pipeline management.

Discover an automated system for detecting and remediating degraded storage in Kafka, improving cluster performance and availability. Learn about monitoring, algorithm formulation, and mitigation strategies.

Explore multidimensional time-state analytics for complex, large-scale metrics tracking. Learn about architectural and algorithmic solutions to improve performance, reduce costs, and simplify development.

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.

Learn cost-effective streaming optimization techniques to drastically reduce infrastructure expenses. Discover simple SQL methods and advanced strategies for distributed storage and compute stacks.

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.

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.

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.

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.

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.

Explore Kafka Streams' internal architecture for efficient application deployment and tuning. Learn threading models, partition assignment, and key configurations to optimize performance and scalability.

Explore Apache Kafka's ecosystem, including Producer and Consumer libraries, Connect, Streams, and Schema Registry. Gain insights for implementing Kafka in your organization.

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.