Spring Kafka Version Matrix

Reactor Core. Ready to upgrade? Head to Upgrading Confluence for a step-by-step. Spring Boot component provides auto-configuration for Apache Camel. Watch Juergen Hoeller present at SpringOne Platform 2018, filmed in Washington, D. This guide will also provide instructions to setup Java & zookeeper. Apache Kafka is an open-source stream-processing software platform developed by LinkedIn and donated to the Apache Software Foundation, written in Scala and Java. The table below provides an Erlang compatibility matrix of currently supported RabbitMQ release series. The setup and creation of the KafkaTemplate and Producer beans is automatically done by Spring Boot. The password must be at least 10 characters in length and must contain at least one digit. A Kafka partition is a linearly ordered sequence of messages, where each message is identified by their index (called as offset). Let’s get started… If you want to learn more about Spring Kafka - head on over to the Spring Kafka tutorials page. A standard Spring java configuration class that returns a FileReadingMessageSource, the Spring Integration class implementation that handles filesystem polling; Outbound adapters are used to send messages outwards. Tech Primers 152,505 views. If not, and if you want me to write. Name Description Default Type; camel. Step by step guide to realize a Kafka Consumer is provided for understanding. plugins maven-compiler-plugin 3. 0 and above; for documentation for earlier releases, see the 1. patch_level is the number of source commits applied on top of the base version forked from the Apache Kafka branch. How to use the Spring Boot Starter for Apache Kafka with Azure Event Hubs. The setup and creation of the KafkaTemplate and Producer beans is automatically done by Spring Boot. For platforms not supported by Debian, RPM, or SLES packages, download the tarball with the appropriate patch-level. My challenge is simple: I am creating a small Java application - single class with main method - that has many direct and indirect dependencies. 最近仕事でApache Kafkaの導入を進めている.Kafkaとは何か? どこで使われているのか? どのような理由で作られたのか? どのように動作するのか(特にメッセージの読み出しについて)?. 0 or higher) Structured Streaming integration for Kafka 0. Kafka is simply a collection of topics split into one or more partitions. Furthermore we'll show how to create a composition of containers, which depend on each other and. This client also interacts with the broker to allow groups of consumers to load balance consumption using consumer groups. x users) are recommended to use spring-kafka version 1. In the following tutorial we demonstrate how to configure Spring Kafka with Spring Boot. Each topic covered follows a three-step structure: first, we have some headlines (facts); second, we continue with images (diagrams) meant to provide more details; and finally we convert the text and images into code written in the proper technology. We will have a separate consumer and producer defined in java that will produce message to the topic and also consume message from it. version #17043 Add configuration-strategy property to RedisSessionProperties to configure ConfigureRedisAction #17022 Exclude groovy. This uses the Kafka Producer API to write messages to a topic on the broker. Spring Kafka Test Support 57 usages. Need help deciding which version of Confluence is best for your team? Use this matrix to compare version features, critical bug fixes, supported platforms, and technical upgrade procedures. Apache Tomcat 5. We start by adding headers using either Message or ProducerRecord. Here's a compatibility matrix that shows the Kafka client versions that are compatible with each combination of Logstash and the Kafka output plugin:. Trained by its creators, Cloudera has Kafka experts available across the globe to deliver world-class support 24/7. HTTP download also available at fast speeds. Ready to upgrade? Head to Upgrading Confluence for a step-by-step. Spring Retry provides declarative control of the. Now we created a successful Spring Security LDAP authentication application, we can write some integration tests to verify everything keeps working. Our opinionated auto-configuration of the Camel context auto-detects Camel routes available in the Spring context and registers the key Camel utilities (like producer template, consumer template and the type converter) as beans. After completing the steps in IntelliJ, I'll have a fresh Maven project to work with for this example. These versions will be referenced transitively when using maven or gradle for version management. If this option is enabled then an instance of KafkaManualCommit is stored on the Exchange message header, which allows end users to access this API and perform manual offset commits via the Kafka consumer. My challenge is simple: I am creating a small Java application - single class with main method - that has many direct and indirect dependencies. It is a scalable, fault-tolerant, publish-subscribe messaging system which enables us to build distributed applications. The version 2. Spring Kafka Support Last Release on Oct 1, 2019 2. The text area below allows the project release notes to be edited and copied to another document. In addition, spring-integration-kafka milestones (3. Note that from the version 0. As for any software, we very strongly recommend upgrading to the latest bugfix version of the JDK for any given major version, for instance the latest bugfix version of Java 8 was 8u112 (1. Spring Boot resolves this problem by providing a set of dependencies for developers convenience. RELEASE and Spring Data Elasticsearch 2. Then select Kafka as the cluster type. View Helper Pattern View Helper arranges view components for the user and delegates processing to other business components so the view component doesn't have to contain any processing logic other than logic to present views. Luckily, nearly all the details of the design are documented online. Here is a summary of a few of them: Since its introduction in version 0. It is highly dependent on the starter templates feature which is very powerful and works flawlessly. The compatibility matrices show which versions of the driver are recommended for use with a given major release. Need help deciding which version of Confluence is best for your team? Use this matrix to compare version features, critical bug fixes, supported platforms, and technical upgrade procedures. Spring Kafka - Apache Avro Serializer Deserializer Example 9 minute read Apache Avro is a data serialization system. x users) are recommended to use spring-kafka version 1. For platforms not supported by Debian, RPM, or SLES packages, download the tarball with the appropriate patch-level. As for any software, we very strongly recommend upgrading to the latest bugfix version of the JDK for any given major version, for instance the latest bugfix version of Java 8 was 8u112 (1. This example is very basic and simple. Note that the number of commits does not indicate the number of functional changes. RabbitMQ version Minimum required Erlang/OTP Maximum supported Erlang/OTP Notes 3. 0 or higher) Structured Streaming integration for Kafka 0. Application developers who are working in Java, using the JMS interface, often choose to work with the Spring Framework. 0 and back ported features mentioned for version 2. 2 and later Kafka Streams Clients that are included in Confluent Platform 3. Each version of the Camunda Spring Boot Starter is bound to a specific version of Camunda BPM. See screenshots, read the latest customer reviews, and compare ratings for Matrix Rain. If you need assistance with Kafka, spring boot or docker which are used in this article, or want to check out the sample application from this post please check the References section below, but for a quick access to the source code you can just: git clone [email protected] Supported Java versions: JDK 8 (Oracle's JDK or OpenJDK) and greater. It contains information about its design, usage, and configuration options, as well as information on how the Stream Cloud Stream concepts map onto Apache Kafka specific constructs. For broker compatibility, see the official Kafka compatibility reference. With spring boot 2. Apache Kafka is a distributed and fault-tolerant stream processing system. In this article we'll focus on how to dockerize a Spring Boot Application to run it in an isolated environment, a. In the tutorial, JavaSampleApproach will guide you how to use Spring Batch Tasklet. We will have a separate consumer and producer defined in java that will produce message to the topic and also consume message from it. Group: Apache Kafka. Opinions expressed by DZone. 0_112) at the time of this writing. Let’s get started… If you want to learn more about Spring Kafka - head on over to the Spring Kafka tutorials page. Only these default combinations are recommended (and supported) by Camunda. Spring Boot - Apache Kafka - Apache Kafka is an open source project used to publish and subscribe the messages based on the fault-tolerant messaging system. patch_level is the number of source commits applied on top of the base version forked from the Apache Kafka branch. The connectors themselves for different applications or data systems are federated and maintained separately from the main code base. Learn how to create an application that uses the Apache Kafka Streams API and run it with Kafka on HDInsight. Spring Kafka brings the simple and typical. SpringBoot 1. x (and all spring boot 1. It is approach to develop spring based application with very less configuration. Powered by a free Atlassian Jira open source license for Spring. Kafka has a built-in framework called Kafka Connect for writing sources and sinks that either continuously ingest data into Kafka or continuously ingest data in Kafka into external systems. If you depend on spring-kafka, and set spring. In my earlier posts, I showed you an example how to use Spring Cloud Stream + Apache Kafka. Also the maintenance version spring-integration-kafka-2. Here is a summary of a few of them: Since its introduction in version 0. Furthermore we'll show how to create a composition of containers, which depend on each other and. Ready to upgrade? Head to Upgrading Confluence for a step-by-step. Spring Integration Kafka is now based on the Spring for Apache Kafka project. Below table illustrates the URIs supported by this rest web service. In order to run my simple class locally I need to: code the Java Class compile the class run the class In order to compile the class, all directly referencedRead More. M1 for spring-kafka 1. It is an Apache Top Level project. In this article we'll focus on how to dockerize a Spring Boot Application to run it in an isolated environment, a. Kafka Streams is a client library for processing and analyzing data stored in Kafka. /sbt package Step 2: Start the server Kafka brokers and consumers use this for co-ordination. That is: =, where k is a constant factor characteristic of the spring: its stiffness, and x is small compared to the total possible deformation of the spring. Both are implemented with Apache Kafka 0. Watch Juergen Hoeller present at SpringOne Platform 2018, filmed in Washington, D. For platforms not supported by Debian, RPM, or SLES packages, download the tarball with the appropriate patch-level. After Kafka is deployed and running, validate the installation. All the data in a Kafka cluster is the disjointed union of partitions. 00 Matrix Irregular Pitch Airsoft AEG Upgrade Spring Bulk Bag - Bag of 50 (Power: M90 280~340 FPS). Getting Apache Kafka to work with Spring smoothly will be a very good thing for many Java developers. Hooke's law is a law of physics that states that the force (F) needed to extend or compress a spring by some distance x scales linearly with respect to that distance. Spring Boot component provides auto-configuration for Apache Camel. It provides the following components:. I am looking for a compatibility matrix of the different parts of the Spring framework. Spring Kafka Consumer Producer Example 10 minute read In this post, you’re going to learn how to create a Spring Kafka Hello World example that uses Spring Boot and Maven. This request could also have a batch version for handling multiple partitions at once, but I described the single partition case for simplicity. In this tutorial we demonstrate how to add/read custom headers to/from a Kafka Message using Spring Kafka. Set up, upgrade, scale, and migrate with a few clicks of the button. Apache Kafka is frequently used to store critical data making it one of the most important components of a company's data infrastructure. Notable improvements in Spring 4. RELEASE supports only ElasticSearch 2. Also the maintenance version spring-integration-kafka-2. They don't support the latest version of ElasticSearch 5. If you depend on spring-kafka, and set spring. Spring publishes a spring-kafka-test library that is promoted as a way to do some unit testing with Kafka. THE unique Spring Security education if you're working with Java today. Download Data Stream Development with Apache Spark, Kafka, and Spring Boot or any other file from Other category. Let's look at Spring RestTemplate example where we will test REST web services created in Spring Data JPA article. You can go for Kafka if the data will be consumed by multiple applications. We will have a separate consumer and producer defined in java that will produce message to the topic and also consume message from it. 1 is a foundation for Kafka auto configuration in the upcoming Spring Boot 2. 0 was released in December 2013. The Kafka Producer operator allows applications to send records/messages to topics on a Kafka cluster. The new Producer and Consumer clients support security for Kafka versions 0. Nevertheless, each version of the Spring Boot Starter can be combined with newer patch versions of the Camunda BPM engine (see Overriding Camunda version ), though such. Confluent Platform is the complete event streaming platform built on Apache Kafka. Apache Kafka: A Distributed Streaming Platform. Download this app from Microsoft Store for Windows 10, Windows 8. allow-manual-commit. This uses the Kafka Producer API to write messages to a topic on the broker. In my earlier posts, I showed you an example how to use Spring Cloud Stream + Apache Kafka. Almost every Atlassian application has a version of the Atlassian Plugin Framework. This uses the Kafka Producer API to write messages to a topic on the broker. Opinions expressed by DZone. The relevant documents are: The original Kafka KIP: This provides good details on the data flow and a great overview of the public interfaces, particularly the configuration options that come along with. 3 when we decided to create a 1. Spring Kafka - Apache Avro Serializer Deserializer Example 9 minute read Apache Avro is a data serialization system. Using an embedded Kafka broker. Our opinionated auto-configuration of the Camel context auto-detects Camel routes available in the Spring context and registers the key Camel utilities (like producer template, consumer template and the type converter) as beans. Below are the articles related to Apache Kafka topic. Version: The default version for the cluster type will be specified. Apache Tomcat 5. Support for Apache Qpid Proton AMQP 1. Note that the number of commits does not indicate the number of functional changes. The Confluent REST Proxy provides a RESTful interface to a Kafka cluster, making it easy to produce and consume messages, view the state of the cluster, and perform administrative actions without using the native Kafka protocol or clients. It synchronizes the message offsets in the storage preventing message loss upon restart. Kafka, Avro Serialization, and the Schema Registry Learn what the Schema Registry is and how you're losing out if you're not using it with Kafka for schema evolution, serialization, and. To use it from a Spring application, the kafka-streams jar must be present on classpath. It provides the following components:. patch_level is the number of source commits applied on top of the base version forked from the Apache Kafka branch. 2 version and using below configuration in pom. Read this - Spring Data Elasticsearch Spring Boot version matrix. Setting Up Spring Boot and Kafka Let us head over to start. Version: The default version for the cluster type will be specified. Application developers who are working in Java, using the JMS interface, often choose to work with the Spring Framework. THE unique Spring Security education if you're working with Java today. Here is a summary of a few of them: Since its introduction in version 0. Spring Kafka - Apache Avro Serializer Deserializer Example 9 minute read Apache Avro is a data serialization system. 0: Organization: There is a new version. It includes release notes as well as information about versions and downloads. In this article we'll focus on how to dockerize a Spring Boot Application to run it in an isolated environment, a. Spring Framework 4. Multi-tenancy. Important: Cloudera Manager 4 and CDH 4 reached End of Maintenance (EOM) on August 9, 2015. Step 1: Discover and connect to the offset manager for a consumer group by issuing a consumer metadata request to any broker. Spring Kafka Consumer Producer Example 10 minute read In this post, you’re going to learn how to create a Spring Kafka Hello World example that uses Spring Boot and Maven. In this tutorial we demonstrate how to add/read custom headers to/from a Kafka Message using Spring Kafka. Spring Boot uses sensible default to configure Spring Kafka. It's compatible with Apache Kafka 2. Tutorial: Use Apache Kafka streams API in Azure HDInsight. Reactor Core. Our opinionated auto-configuration of the Camel context auto-detects Camel routes available in the Spring context and registers the key Camel utilities (like producer template, consumer template and the type converter) as beans. A standard Spring java configuration class that returns a FileReadingMessageSource, the Spring Integration class implementation that handles filesystem polling; Outbound adapters are used to send messages outwards. Select from the drop-down list if you wish to specify a different version. It includes release notes as well as information about versions and downloads. M3) at the time of writing, and the option for Spring Integration. base_version is the version of the open-source component included in the Cloudera package. However, I never used Spring Cloud Task, so I start browsing for examples and… I found nothing. Franz Kafka (3 July 1883 - 3 June 1924) was a German-speaking Bohemian novelist and short-story writer, widely regarded as one of the major figures of 20th-century literature. See the Project Page for a complete matrix of spring-kafka , spring-integration-kafka and kafka-clients version compatibility. It is fast, scalable and distrib. Let’s get started… If you want to learn more about Spring Kafka - head on over to the Spring Kafka tutorials page. For RabbitMQ releases that have reached end of life, see Unsupported Series Compatibility Matrix. Kafka has a built-in framework called Kafka Connect for writing sources and sinks that either continuously ingest data into Kafka or continuously ingest data in Kafka into external systems. Let's look at Spring RestTemplate example where we will test REST web services created in Spring Data JPA article. At least I couldn. Apache Kafka - Simple Producer Example - Let us create an application for publishing and consuming messages using a Java client. In the Ambari "Actions" menu, select "Add Service. 0 licenses/by -nc/3. patch_level is the number of source commits applied on top of the base version forked from the Apache Kafka branch. How to use the Spring Boot Starter for Apache Kafka with Azure Event Hubs. Whether to allow doing manual commits via KafkaManualCommit. Nevertheless, each version of the Spring Boot Starter can be combined with newer patch versions of the Camunda BPM engine (see Overriding Camunda version ), though such. Aiven for Kafka is a fully-managed and hosted service available on all major clouds with advanced features like Schema Registry and Kafka Connect. In this tutorial, we are going to create simple Java example that creates a Kafka producer. To use it from a Spring application, the kafka-streams jar must be present on classpath. This plugin uses Kafka Client 2. Supported Java versions: JDK 8 (Oracle's JDK or OpenJDK) and greater. Apache kafka. Getting Apache Kafka to work with Spring smoothly will be a very good thing for many Java developers. 1 is a foundation for Kafka auto configuration in the upcoming Spring Boot 2. This plugin uses Kafka Client 2. THE unique Spring Security education if you're working with Java today. Spring Kafka - Apache Avro Serializer Deserializer Example 9 minute read Apache Avro is a data serialization system. It is highly dependent on the starter templates feature which is very powerful and works flawlessly. In the first article of the series, we introduced Spring Cloud Data Flow's architectural component and how to use it to create a streaming data pipeline. 0: Tags: integration spring kafka streaming: Used By: 131 artifacts: Central (28) Spring Plugins (17) Spring Lib M (1) Spring Milestones (5). First start the zookeeper server. Q: What is Apache Kafka? How to integrate it with Spring Boot? A: Apache Kafka is a distributed publish-subscribe messaging system. Requesting you to suggest me what could be the wrong? Regards, Munivelu. Structured Streaming + Kafka Integration Guide (Kafka broker version 0. From no experience to actually building stuff. This uses the Kafka Producer API to write messages to a topic on the broker. cloudera_version is the version of the Cloudera package. Our usual stack of technologies is Spring Cloud Stream/Task and Apache Kafka. M3) at the time of writing, and the option for Spring Integration. Spring Kafka - Apache Avro Serializer Deserializer Example 9 minute read Apache Avro is a data serialization system. Spring Batch provides the Tasklet interface, to process a single task, such as clean or init resources before or after any step running. THE unique Spring Security education if you're working with Java today. Spring Kafka Test Support 57 usages. M1 for spring-kafka 1. If you need assistance with Kafka, spring boot or docker which are used in this article, or want to check out the sample application from this post please check the References section below, but for a quick access to the source code you can just: git clone [email protected] Our goal is to make it possible to run Kafka as a central platform for streaming data, supporting anything from a single app to a whole company. This article demonstrates how to configure a Java-based Spring Cloud Stream Binder created with the Spring Boot Initializer to use Apache Kafka with Azure Event Hubs. RC1 for spring-kafka 1. 9 Java client API. version #17043 Add configuration-strategy property to RedisSessionProperties to configure ConfigureRedisAction #17022 Exclude groovy. 4 you need to change the Zookeeper dependency that comes shipped with curator, and thus spring-cloud-zookeeper. You can use the command-line interface to create a Kafka topic, send test messages, and consume the messages. The Kafka Producer operator allows applications to send records/messages to topics on a Kafka cluster. - learn more at the IONOS DevOps Central Community. We will be configuring apache kafka and zookeeper in our local machine and create a test topic with multiple partitions in a kafka broker. If you are using the Kafka Streams API, you can read on how to configure equivalent SSL and SASL parameters. Spring Boot Interview Questions and Answers. Last modified by Ondrej Zizka on Jul 22, 2012 8:29 PM. Spring implements this design pattern using DispatcherServlet, to dispatch incoming requests to the correct controllers. /sbt update >. In this Spring Kafka tutorial, we will get to know about Spring Kafka, the Spring for Kafka, how to use KafkaTemplate to produce messages to Kafka brokers, and how to use “listener container” to consume messages from Kafka as well. Spring Framework 4. Learn Java, Spring (Boot, Cloud, etc. Nothing is a hard-and-fast rule; Kafka is used for a wide range of use cases and on a bewildering array of machines. Download Data Stream Development with Apache Spark, Kafka, and Spring Boot or any other file from Other category. Spring WebFlux is built on Project Reactor. Kafka Streams Clients must be a version lower than or equal to the Kafka brokers (i. In the following tutorial we demonstrate how to configure Spring Kafka with Spring Boot. This version utilize the spring-kafka-1. Getting Started With Apache Kafka 1. A Reactive Streams foundation for Java 8 version: Available MILESTONE or other pre-release artifact (on repo. Download the latest ApacheCon slideshow to have an overview of the amazing possibilities that Apache Karaf offer to your business! Download ». However, I never used Spring Cloud Task, so I start browsing for examples and… I found nothing. Write events to a Kafka topic. Question: Showing two versions like 49, 52 when I check java major version using javap. Learn how to work. All the data in a Kafka cluster is the disjointed union of partitions. It might be interesting for example for people who are familiar with Spring Integration since it has native integration with it. Spring Kafka Test Support 57 usages. I can get 1. All Airsoft replicas are sold with a bright orange tip to comply with federal law and regulations. Here's a compatibility matrix that shows the Kafka client versions that are compatible with each combination of Logstash and the Kafka output plugin:. A Kafka partition is a linearly ordered sequence of messages, where each message is identified by their index (called as offset). The guide also provides a release matrix that shows which major and minor release version of a product is supported with which release version of CDK Powered By Apache Kafka. Spring Kafka Support Last Release on Oct 1, 2019 2. Kafka has a built-in framework called Kafka Connect for writing sources and sinks that either continuously ingest data into Kafka or continuously ingest data in Kafka into external systems. It subscribes to one or more topics in the Kafka cluster. Spring on Azure. Note that the number of commits does not indicate the number of functional changes. patch_level is the number of source commits applied on top of the base version forked from the Apache Kafka branch. You create a new replicated Kafka topic called my-example-topic, then you create a Kafka producer that uses this topic to send records. adoc[] In addition to this reference documentation, we recommend a number of other resources that may help you learn about Spring and Apache Kafka. 0 (spring-proton?) similar to spring-kafka and spring-amqp 2015 and the devloper that conducted it did a nice initial matrix. Aiven for Kafka is a fully-managed and hosted service available on all major clouds with advanced features like Schema Registry and Kafka Connect. upgrade brokers first). Only these default combinations are recommended (and supported) by Camunda. Linear Algebra in Twenty Five Lectures Tom Denton and Andrew Waldron March 27, 2012 Edited by Katrina Glaeser, Rohit Thomas & Travis Scrimshaw 1. Hibernate Compatibility Matrix Version 6 Created by Brad Maxwell on Apr 23, 2010 3:01 PM. cloudera_version is the version of the Cloudera package. Learn Java, Spring (Boot, Cloud, etc. Learn more about Cloudera Support. 1 is available and provides some critical bug fixes, compatibility with Apache Kafka 1. We start by creating a Spring Kafka Producer which is able to send messages to a Kafka topic. It synchronizes the message offsets in the storage preventing message loss upon restart. There is no example of Spring Cloud Task with Apache Kafka. RabbitMQ version Minimum required Erlang/OTP Maximum supported Erlang/OTP Notes 3. It is highly dependent on the starter templates feature which is very powerful and works flawlessly. It's compatible with Kafka broker versions 0. Setting Up Spring Boot and Kafka Let us head over to start. Luckily, nearly all the details of the design are documented online. 0 pre-dated the Spring for Apache Kafka project and therefore were not based on it. Kafka is becoming a popular addition to microservice oriented architectures. Spring on Azure. In this tutorial, we are going to create simple Java example that creates a Kafka producer. 0 or higher. 8 to send messages with 'kafka-clients', version: '0. In this short article, I will show you a simple way to run Kafka locally with Docker. I found an old compatibility matrix of Spring, but this matrix was from 2014 and therefore deprecated. base_version is the version of the open-source component included in the Cloudera package. This uses the Kafka Producer API to write messages to a topic on the broker. In this tutorial we demonstrate how to add/read custom headers to/from a Kafka Message using Spring Kafka. 06/25/2019; 7 minutes to read +5; In this article. 0: Tags: integration spring kafka streaming: Used By: 131 artifacts: Central (28) Spring Plugins (17) Spring Lib M (1) Spring Milestones (5). 4, Spring for Apache Kafka provides first-class support for Kafka Streams. This is helpful where the errors may be transient in nature (like a momentary network glitch). KIP-82 - Add Record Headers. Powered by a free Atlassian Jira open source license for Spring. Almost every Atlassian application has a version of the Atlassian Plugin Framework. RELEASE is available with ErrorMessageStrategy and sendFailureChannel support for the. It uses JSON for defining data types/protocols and serializes data in a compact binary format. Spring Kafka - Apache Avro Serializer Deserializer Example 9 minute read Apache Avro is a data serialization system. Nevertheless, each version of the Spring Boot Starter can be combined with newer patch versions of the Camunda BPM engine (see Overriding Camunda version ), though such. Spark Streaming + Kafka Integration Guide (Kafka broker version 0. 12/19/2018; 7 minutes to read; In this article Overview. , its owners, affiliates or employees responsible for any legal actions, liabilities, damages, penalties, claims, or other obligations caused by your ownership of Airsoft replicas. Click the Ambari "Services" tab. 0 was released in December 2013. Notable improvements in Spring 4. 0, Spring Cloud Sleuth uses Brave as the tracing library. Next we create a Spring Kafka Consumer which is able to listen to messages send to a Kafka topic.