Pushing Your Streaming Platform to the Limit - Conf42 Chaos Engineering 2024
Explore streaming platform benchmarking techniques, including key criteria, USE method, and OpenMessaging initiative. Learn to assess limits and gain valuable insights for optimizing performance.
Streaming DataFrames: A New Way to Process Streaming Data - Conf42 Python 2024
Explore streaming DataFrames as a novel approach to process real-time data, enhancing efficiency and simplifying stream processing workflows for Python developers.
Best Practices to Manage AWS Streaming Data Pipeline at Scale
Learn best practices for managing AWS streaming data pipelines at scale, covering data distribution, large record processing, schema registry, and validations.
No JVM, No Kafka: The Future of Streaming Data Pipelines
Explore the future of streaming data pipelines without JVM and Kafka, focusing on innovative approaches for efficient and scalable data processing in cloud-native environments.
Powering Cisco ThousandEyes High-Performant Data Streams with gRPC and OpenTelemetry
Explore high-performance data streaming using gRPC and OpenTelemetry in Cisco ThousandEyes. Learn to manage heavy traffic and adapt to changing test configurations in shared environments.
Hazelcast 5.2 - What's Next?
Explore the latest features and future developments of Hazelcast 5.2, gaining insights into its enhanced capabilities and potential applications.
Introduction to Kafka Streams
Learn the fundamentals of Kafka Streams, a powerful library for building real-time stream processing applications within the Apache Kafka ecosystem.
Creating a Kafka Streams Application
Develop a Kafka Streams application using KStream types and configurations for efficient data processing and analysis.
The What and Why of Microsoft Fabric Real-time Analytics
Explore possibilities with Microsoft Fabric Real-time Analytics, uncovering its potential and applications in data processing and analysis.
Apache Kafka 3.5 - Core, Connect, Streams, and Client Updates
Explore key updates in Apache Kafka 3.5, including KRaft migration preview, improved error handling, versioned state stores, and enhanced client-side features for better performance and flexibility.
Challenges Using Apache Kafka for Data Streaming Systems
Explore key capabilities of streaming platforms and compare self-managed Apache Kafka with Confluent Cloud's fully-managed services for efficient data streaming operations.
Robust Disaster Recovery with Kafka and Confluent Cloud - Data Streaming Systems
Explore Kafka resilience, mitigate data loss, and implement disaster recovery strategies using Confluent Cloud for robust data streaming systems.
Using GitOps as an Efficient CI/CD Pipeline for Data Streaming
Implement GitOps for efficient CI/CD in data streaming platforms, enhancing operations and traceability with Apache Kafka and Confluent Cloud.
Cloud Kafka Resiliency and Fault Tolerance for Data Streaming Systems
Manage cloud volatility, configure Kafka clients for resilience, and explore error handling in Kafka Streams. Learn idempotent operations and exactly-once processing for robust data streaming applications.
Boosting Kafka Performance with JVM Optimization
Optimize Kafka performance by leveraging Azul Prime JVM. Reduce latency by 40%, improve SLAs, and lower infrastructure costs through efficient JVM utilization.
From Edge to Cloud: Creating Data Pipelines Using Open-source with Strimzi on Kubernetes
Learn to create data pipelines from edge to cloud using open-source Strimzi on Kubernetes, enabling real-time data streaming across your organization.
Accelerating Path to Production for Generative AI-powered Applications
Leverage large language models and real-time data to build intelligent applications with improved accuracy using Retrieval Augmented Generation. Explore AI-driven experiences and vector search capabilities.
Squeezing the Most From Your Kafka Infrastructure
Explore challenges and clever solutions for expanding Kafka infrastructure. Learn to optimize resources, streamline pipelines, and refocus on core business objectives as your system grows.
Event-Driven Architecture vs Request-Response Architecture - Comparison and Tradeoffs
Explore the tradeoffs between Event-Driven and Request-Driven Architectures. Learn about reactivity, coupling, consistency, historical state, flexibility, and data access in both approaches.
Event-Driven Architectures: Fundamentals and Advanced Concepts
Explore event-driven architectures, including event immutability, windowing techniques, and practical applications in Apache Kafka and Flink ecosystems. Gain insights from industry experts in an engaging Q&A format.
Retrieval Augmented Generation (RAG) with Data Streaming for GenAI Applications
Explore Retrieval Augmented Generation (RAG) with data streaming to enhance LLM outputs. Learn how Apache Kafka and Flink enable real-time, contextualized data for reliable GenAI applications.