View the recordings and slides from Kafka Summit San Francisco 2018, the premier event for those who want to learn about streaming data.
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.
Rest assured your Confluent Cloud cluster and data are secured! Here's how.
Learn why organizations are considering Apache Kafka to streamline cloud migrations.
Joe Beda, CTO of Heptio and co-creator of Kubernetes, and Gwen Shapira, principal data architect at Confluent, will help you decide if running Kafka on Kubernetes is the right approach for your organization.
Kafka has a set of new features supporting idempotence and transactional writes that support building real-time applications with exactly-once semantics. This talk provides an overview of these features.
Get the presentations from the Kafka Summit London 2018 event.
![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.
The survey of the Apache Kafka community shows how and why companies are adopting streaming platforms to build event-driven architectures.
Our Recommended Approach to Designing for “End-to-End Encryption” into Kafka Clients
Learn Kubernetes terms, concepts and considerations, as well as best practices for deploying Apache Kafka on Kubernetes.
Get key research stats on why CIOs are turning to streaming data for a competitive advantage.
Originally presented by Gwen Shapira at Gluecon 2018, this talk covers the similarities and differences between the communication layer provided by a service mesh and Apache Kafka and their implementations, as well as ways you can combine them together.
Download this bridge-to-cloud deployment guide for designing, configuring and managing streaming applications in Confluent Cloud.
![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.
Get the presentations from the Kafka Summit San Francisco 2017 event.
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 San Francisco 2016 event.
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.
The reference architecture provides a detailed architecture for deploying Confluent Platform on Kubernetes and uses the Helm Charts for Confluent Platform as a reference to illustrate configuration and deployment practices.
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, we offer recommendations and best practices for designing data architectures that will work well with Confluent Cloud.
Get up and running with Confluent Cloud Professional in less than three minutes.
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.
This viewpoint from analyst Ventana Research outlines the importance of streaming data and why it will be a standard component of enterprise information architectures.
A real-time streaming platform for financial services.
Hans Jespersen (VP WW Systems Engineering, Confluent) Opened afternoon presentations: Confluent Cloud: Agility for the modern data-driven enterprise at Confluent’s streaming event in Paris.
Download this Forrester study to understand the economic benefits of Confluent Platform. Learn how you can reduce DevOps costs by $2.4M and accelerate business enablement by $3.8M.
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.
Download the deployment guide to designing, configuring, and managing stream processing in Confluent Cloud with KSQL.
In this talk, we’ll explain the architectural reasoning for Apache Kafka® and the benefits of real-time integration, and we’ll build a streaming data pipeline using nothing but our bare hands, Kafka Connect and KSQL.
Use cases for streaming platforms vary from improving the customer experience - we have synthesized some common themes of streaming maturity and have identified five stages of adoption
This video offers an introduction to Kafka stream processing, with a focus on KSQL.
In this talk Gwen Shapira will break through the clutter and look at how successful companies are adopting centralized streaming platforms, and the use-cases and methodologies that we see practiced right now.
In this paper, we introduce the Dual Streaming Model. The model presents the result of an operator as a stream of successive updates, which induces a duality of results and streams.
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
Join The New York Times' Director of Engineering Boerge Svingen to learn how the innovative news giant of America transformed the way it sources content—all through the power of a real-time streaming platform.
Join us for this online talk on lessons learned, best practices and technical patterns of Capital One’s deployment of Apache Kafka®.
In this talk, members of the Pinterest team share details of their results, offer lessons learned from their Confluent Go client migration and discuss their use cases for adopting Kafka Streams.
Read this white paper to learn about the common use cases Confluent is seeing amongst its financial services customers.
Learn how service-based architectures and stream processing tools such as Apache Kafka can help you build business-critical systems.
With its ViZixⓇ item chain management platform, Mojix is helping major retailers store, analyze and act on inventory data collected from IoT sensor streams in real time.
One of the largest banks in the world—with 16 million clients globally—RBC built a real-time, scalable and event-driven data architecture for their rapidly growing number of cloud, machine learning and AI initiatives.
Alight Solutions, recently embarked on an initiative to align the company’s internal organization with its next-generation digital strategy.
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.
Get access to all the presentations from Kafka Summit London 2018.
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