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Explore Apache Kafka's ecosystem, including Producer and Consumer libraries, Connect, Streams, and Schema Registry. Gain insights for implementing Kafka in your organization.
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 Shopify's Kafka infrastructure and learn how DNS traffic management and client wrappers enhance resilience, ensuring message production during incidents and maintenance.
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 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.
Implement real-time anomaly detection on network activity time series data using Apache Flink. Compare EWMA and PEWMA algorithms for effective intrusion detection in cloud-native deployments.
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.
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 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.
Learn cost-effective streaming optimization techniques to drastically reduce infrastructure expenses. Discover simple SQL methods and advanced strategies for distributed storage and compute stacks.
Leverage Confluent Cloud on Azure to build real-time data flows, capture changes instantly, and simplify data pipeline development. Boost productivity and innovate faster with streaming data pipelines and self-service access.
Scale streaming apps with AWS services for unlimited storage and cost optimization. Learn to leverage tiered storage for long-term data retention, enabling agile decision-making and proactive strategies in event-driven architectures.
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.
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.
Learn to predict and manage Kafka Partition Lag using machine learning techniques. Explore normal and abnormal lag patterns, ensemble forecasting, and case studies for improved Kafka observability.
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