Get the presentations from the Kafka Summit SF event.
Learn about typical Apache Kafka use cases and how organisations can process large quantities of data in real time using the Kafka Streams API and KSQL.
How can you build event-driven applications and stream processing apps that get the right answer? Kafka has a set of new features supporting idempotence and transactional writes that help support building real-time applications with exactly-once semantics. This talk will give an overview of using these features and how they work.
![Divide, Distribute and Conquer: Stream vs. Batch [Philly JUG]](https://www.confluent.io/wp-content/uploads/philly-jug.png)
In this talk, get a short introduction to common approaches and architectures (lambda, kappa) for streaming processing and learn how to use open-source steam processing tools (Flink, Kafka Streams, Hazelcast Jet) for stream processing.
![Apache Kafka for Java Developers [Pittsburgh JUG]](https://www.confluent.io/wp-content/uploads/Pittsburgh-JUG.jpg)
In this talk, we’ll review the breadth of Apache Kafka as a streaming data platform, including, its internal architecture and its approach to pub/sub messaging.
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.
Get an introduction to and demo of KSQL, Streaming SQL for Apache Kafka.
In this talk, I'll describe some of the design tradeoffs when building microservices, and how Apache Kafka's powerful abstractions can help.
Learn how to take full advantage of Apache Kafka, 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.
Get the presentations from the Kafka Summit NYC event.
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.
This survey focuses on why and how companies are using Apache Kafka and streaming data and the impact it has on their business.
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 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.
This engagement will have a Confluent Kafka expert work alongside your technical teams to assess an upcoming or active Kafka-based project you’re planning.
A Confluent Kafka expert will work alongside your technical teams to assess an upcoming Kafka & Amazon Web Services (AWS) cloud deployment. They will review your goals, discuss design tradeoffs and share known best practices drawn from existing AWS deployments.
A Confluent Kafka expert will work alongside your technical teams to assess your current Kafka deployment’s health and overall capabilities, making recommendations to meet the ongoing needs of your organization.
The goal of this consulting engagement is to have a Confluent Kafka expert enable you to deploy Kafka clusters across multiple data center (MDC) and/or regions, for georeplication or disaster recovery.
A Confluent Kafka expert will analyze your security requirements and discuss Kafka security concepts and to share best practices and known pitfalls.
The goal of this consulting engagement is to help you prepare for an upgrade to the latest Kafka or Confluent release.
In this white paper, you will learn how you can monitor your Apache Kafka deployments like a pro, the 7 common questions you'll need to answer, what requirements to look for in a monitoring solution and key advantages of the Confluent Control Center.
A real-time streaming platform for financial services.
Get an introduction to and demo of KSQL, Streaming SQL for Apache Kafka.
Confluent Cloud™ is a hosted and fully managed Apache Kafka® as a service in the public cloud.
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.
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 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.
This video offers an introduction to Kafka stream processing, with a focus on KSQL.
Get an introduction to and demo of KSQL, Streaming SQL for Apache Kafka.
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.
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.
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.
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.
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.
This paper provides 10 principles for streaming services, a list of items to be mindful of when designing and building a microservices system
Learn how service-based architectures and stream processing tools such as Apache Kafka can help you build business-critical systems.
As one of the largest banks in the world—with 16 million clients globally—Royal Bank of Canada built a real-time, scalable, and event-driven data architecture for their rapidly growing number of cloud, machine learning and AI initiatives.
HomeAway, the world’s leading online marketplace for the vacation rental industry, uses Apache Kafka® and Confluent to match travelers with 2 million+ unique places to stay in 190 countries.
Learn about the impact of Confluent and Apache Kafka® on Funding Circle’s lending marketplace, from Kafka Connect to Exactly-Once processing.
What is microservices? And how does it work in the Apache Kafka ecosystem.
In this talk, I'll describe some of the design tradeoffs when building microservices, and how Apache Kafka's powerful abstractions can help.
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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