Get the presentations from the Kafka Summit SF event.
Presentation from Apache Kafka Meetup at Strata San Jose (3/14/17). Jay Kreps will introduce Kafka and explain why it has become the de facto standard for streaming data.
This survey focuses on why and how companies are using Apache Kafka and streaming data and the impact it has on their business.
This whitepaper discusses how to optimize your Apache Kafka deployment for various services goals including throughput, latency, durability and availability. It is intended for Kafka administrators and developers planning to deploy Kafka in production.
Get the presentations from the Kafka Summit NYC event.
Learn how to take full advantage of Apache KafkaTM, the distributed, publish-subscribe queue for handling real-time data feeds. With this comprehensive book, you’ll understand how Kafka works and how it’s designed.
In this talk, I'll describe some of the design tradeoffs when building microservices, and how Apache Kafka's powerful abstractions can help.
Get an introduction to and demo of KSQL, Streaming SQL for Apache Kafka.
A practical guide to configuring multiple Apache Kafka clusters so that if a disaster scenario strikes, you have a plan for failover, failback, and ultimately successful recovery.
This white paper provides a brief overview of how microservices can be built in the Apache Kafka ecosystem.
This white paper outlines the integration of Confluent Enterprise with the Microsoft Azure Cloud Platform.
A step-by-step guide to deploying Confluent Platform services on a running DC/OS environment.
Best practices for developing a connector using Kafka Connect APIs.
Neha Narkhede explains how Apache Kafka was designed to support capturing and processing distributed data streams by building up the basic primitives needed for a stream processing system.
In this three-day hands-on course, you will learn how to build, manage, and monitor clusters using industry best-practices developed by the world’s foremost Apache Kafka experts.
In this three-day hands-on course you will learn how to build an application that can publish data to, and subscribe to data from, an Apache Kafka cluster.
Confluent Cloud™ is a hosted and fully managed Apache Kafka™ as a service in the public cloud.
Get an introduction to and demo of KSQL, Streaming SQL for Apache Kafka.
In this paper, we explore some of the fundamental concepts of Apache Kafka, the foundation of Confluent Platform, and compare it to traditional message-oriented middleware.
Learn about the components of Confluent Enterprise, key considerations for production deployments, and guidelines for selecting hardware or deployment with different cloud providers.
An overview of the Confluent Platform, the complete solution for real-time streams.
Presentation from Apache Kafka Meetup at Strata San Jose (3/14/17). Jay Kreps will introduce Kafka and explain why it has become the de facto standard for streaming data.
In this talk, Matt Howlett will give a technical overview of Kafka, discuss some typical use cases (from surge pricing to fraud detection to web analytics) and show you how to use Kafka from within your C#/.NET applications.
Businesses are discovering that they can create new business opportunities as well as make their existing operations more efficient using real-time data at scale. Learn how real-time data streams is revolutionizing your business.
Recording from QCon New York 2017 Gwen Shapira discusses patterns of schema design, schema storage and schema evolution that help development teams build better contracts through better collaboration - and deliver resilient applications faster.
Michael Noll provides an introduction to stream processing, use cases, and Apache Kafka.
Jay Kreps, CEO of Confluent and co-creator of Apache Kafka, shows you how logs work in distributed systems, and provide practical applications of these concepts in a variety of common use cases.
In this book, O’Reilly author Martin Kleppmann shows you how stream processing can make your data processing systems more flexible and less complex.
This white paper outlines the integration of Confluent Enterprise with the Microsoft Azure Cloud Platform.
A step-by-step guide to deploying Confluent Platform services on a running DC/OS environment.
Best practices for developing a connector using Kafka Connect APIs.
In this talk, I'll describe some of the design tradeoffs when building microservices, and how Apache Kafka's powerful abstractions can help.
What is microservices? And how does it work in the Apache Kafka ecosystem.
This white paper provides a brief overview of how microservices can be built in the Apache Kafka ecosystem.
Confluent and Attunity provide seamless mainframe integration and query offload for modern, distributed analytics environments via Apache Kafka.
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