Kafka Admin Api Example

Kafka's work is characterized by nightmarish settings in which characters are crushed by nonsensical, blind authority. Add Plugins on the Service. This documentation should help consumers of the service know which all services are available, the signatures, the expected input. Streaming Ona Data with NiFi, Kafka, Druid, and Superset A common need across all our projects and partners' projects is to build up-to-date indicators from stored data. Most operating environments , such as MS-Windows , provide APIs, allowing programmers to write applications consistent with the operating environment. Though, before attempting this course you should have a good understanding of both Java 8 and. As of version 1. Energy Information Administration makes its data available through an Application Programming Interface (API) to better serve our customers. It's worth to note, that the Producer, the Kafka Connect framework and the Kafka Streams library exposes metrics via JMX as well. It is typically recommended to use a bridge pattern not only for the benefits from decoupling an Appender from its implementation, but it is also handy for sharing resources which may require some form of locking. API Gateway. 4+, and PyPy, and supports versions of Kafka 0. Interesting right? Let's see how to implement a CDC system that can observe the changes made to a NoSQL database ( MongoDB ), stream them through a message broker ( Kafka ), process the messages of the stream ( Kafka Streams. High-level Consumer ¶ * Decide if you want to read messages and events from the `. The Support team can also answer general ‘How to’ questions. write permission. Kafka can work with HBase, Flink and spark for real-time. Kafka bean names depend on the exact Kafka version you're running. Example query. JHipster has an optional support for Kafka, that will: Configure Kafka clients with JHipster. The Kafka Consumer API allows applications to read streams of data from the cluster. The configuration for creating a new user profile. 0 on Ubuntu 18. Kafka comes with a command line client that will take input from standard input and send it out as messages to the Kafka. Apache Kafka online training program then reviews for the participant, Kafka's integration with other apps and APIs for faster and more efficient performance. Apply to Administrator, Senior Administrator, Senior Systems Administrator and more! Kafka Administrator Jobs, Employment | Indeed. Before starting with an example, let's get familiar first with the common terms and some commands used in Kafka. For example, if there is an existing user with a username and password, this API links that user to a federated user identity, so that when the federated user identity is used, the user signs in as the existing user account. Defining Metadata in Apache Atlas Using the Rest API v2. //Since API version 2. Perhaps tests would be fragile and hard to maintain. A consumer will keep running even if you close the document in the editor. While invoking the general operations through API, the operation defined are based on the parameter value, and the developer needs to submit a request to the url via HTTP POST or GET method. I will also sprinkle some RxScala pixie dust on top of the Apache Kafka Consumer code such that the RX operators to be applied to the incoming Apache Kafka messages. Energy Information Administration makes its data available through an Application Programming Interface (API) to better serve our customers. Using Kafka Features. The API Server services REST operations and provides the frontend to the cluster’s shared state through which all other components interact. Using EIA's Application Programming Interface (API) The U. In addition, KCache can use different implementations for the embedded key-value store that is backed by Kafka. 0 release, we've put a lot of effort into the. Producer 2. Eclipse Mosquitto is an open source (EPL/EDL licensed) message broker that implements the MQTT protocol versions 5. Many components use Kafka as a simple key-value store, including Kafka Connect and Confluent Schema Registry. Currently, they can't do this without relying on internal Kafka classes, or shell scripts distributed with Kafka. The Node-RED admin API is secured using the adminAuth property in your settings. Clients Libraries and Developer Tools Overview. Azure Event Hubs for Kafka Ecosystem supports Apache Kafka 1. Centralized security administration to manage all security related tasks in a central UI or using REST APIs. 9 (11/2015), although the idea had been in existence before this release, but as a project named Copycat. It's high priority for us that client features keep pace with core Apache Kafka and components of the Confluent Platform. In addition, the RabbitMQ community has created numerous clients, adaptors and tools that we list here for your convenience. JHipster has an optional support for Kafka, that will: Configure Kafka clients with JHipster. Unlike most other admin functions in Pulsar, cluster metadata initialization cannot be performed via the admin REST API or the admin Java client, as metadata initialization involves communicating with ZooKeeper directly. NET client in particular. Learning Apache Kafka Second Edition provides you with step-by-step, practical examples that help you take advantage of the real power of Kafka and handle hundreds of megabytes of messages per second from multiple clients. The Connect Service is part of the Confluent platform and comes with the platform’s distribution along with Apache Kafka. See the gcloud pubsub reference for a complete list of Pub/Sub API gcloud commands. //Since API version 2. 4+, and PyPy, and supports versions of Kafka 0. The popularity of the Kafka Connect API has grown significantly over the past year. 0 release, we've put a lot of effort into the. Step by step guide to realize a Kafka Consumer is provided for understanding. API and Webhooks. It's a popular tool and developers have already built connectors for many different data sources. After installing and starting Kong, use the Admin API on port 8001 to add a new Service and Route. Of course, you can do much more with KSQL than I have shown in the simple example above. Ignite data loading and streaming capabilities allow ingesting large finite as well as never-ending volumes of data in a scalable and fault-tolerant way into the cluster. Covers Kafka Architecture with some small examples from the command line. In this tutorial, you learn how to:. an HTTP proxy) are published to Kafka, back-pressure can be applied easily to the whole pipeline, limiting the number of messages in-flight and controlling memory usage. This is done from the Notification Channels page. Libraries Here we collect a list of libraries for integrating with the Spotify Web API using several programming languages and platforms. 11 release brings a new major feature: exactly-once semantics. In this session, we will cover following things. Java Code Examples for org. **Admin Actions** In order to perform administrative API actions such as creating and deleting users, the access token should belong to a verified admin user in paid Yammer networks. anchor What's possible with Admin APIs anchor. For example after executing the drop command when we get the same “Gold Standard Message” that Topic is marked for deletion but when you check the topic is still present. The agency expects that less than 10,000 beneficiaries are affected. It's worth to note, that the Producer, the Kafka Connect framework and the Kafka Streams library exposes metrics via JMX as well. The following details and examples show how the database connection URL is constructed. Using Kafka Features. KCache not only generalizes this functionality, but provides a simple Map based API for ease of use. What does Kafka's exactly-once processing really mean? Kafka's 0. These are named with a prefix and the group name. When using the REST API, you will normally use an HTML GET method in a form. You should make sure to close the consumer explicitly, either via the command palette, the status bar element or the start/stop action button as well. Note: The above example URI shows unencoded [and ] characters simply for readability. How can I do so? rest hadoop apache-kafka. Events()` channel (set `"go. Currently, they can't do this without relying on internal Kafka classes, or shell scripts distributed with Kafka. GET / ¶ This call is identical to that documented for the Admin API, except that it uses port 5000, instead of port 35357, by default:. sh: No such file or directory And I followed the developer setup as it is. GroupWise system. I need to write a REST API for kafka which can read or write data from consumer/producer respectively. The online Apache Kafka Training will offer you an insight into Kafka architecture, configuration and interfaces. According to a Quora post from 2014, Jay Kreps chose to name the software after the author Franz Kafka because it is "a system optimized for writing", and he liked Kafka's work. If you haven't heard about it yet, Neha Narkhede, co-creator of Kafka, wrote a post which introduces the new features, and gives some background. This setting provides the path to the JAAS file. Using the Pulsar Kafka compatibility wrapper. Together, you can use Apache Spark and Kafka to transform and augment real-time data read from Apache Kafka and integrate data read from Kafka with information stored in other systems. These examples are extracted from open source projects. Apache Kafka is a popular distributed message broker designed to efficiently handle large volumes of real-time data. Use the example configuration file that comes packaged with the Agent as a base since it is the most up-to-date configuration. The service API is defined to be a subset of the Admin API and, by default, runs on port 5000. In terms of Kafka Connect, the inbound connector implements a "sink" connector. Kafka REST Proxy for MapR Streams provides a RESTful interface to MapR Streams and Kafka clusters to consume and product messages and to perform administrative operations. Consumers are based on virtual documents, available in the VS Code extension API. Class KafkaAdminClient. Apache Kafka is a popular distributed message broker designed to efficiently handle large volumes of real-time data. max_in_flight_requests_per_connection ( int) – Requests are pipelined to kafka brokers up to this number of maximum requests per broker connection. Kafka can work with Flume/Flafka, Spark Streaming, Storm, HBase, Flink, and Spark for real-time ingesting, analysis and processing of streaming data. Additional new features include optional tagged fields in the Kafka serialisation format, support for dynamic application log levels in the Admin API, a metric to measure the number of tasks on a connector, and a new API for replica reassignment. For example, KStream can be a regular bean definition, while the Kafka Streams API is used without any. Connections to your Kafka cluster are persisted so you don't need to memorize or enter them every time. The Spring for Apache Kafka (spring-kafka) project applies core Spring concepts to the development of Kafka-based messaging solutions. The Smartsheet API contains a number of index endpoints (typically denoted in the documentation with titles beginning with "Get All" or "List") which return arrays of objects. Oracle Cloud Infrastructure offers the Streaming service. 1/z(For my case). In addition, KCache can use different implementations for the embedded key-value store that is backed by Kafka. Producer 2. Our Apache Kafka Training in Bangalore is designed to enhance your skillset and successfully clear the Apache Kafka Training certification exam. It was a great opportunity to take our passion for data science and engineering, and apply it to neuroscience. Users should not refer to this class directly. File Service Discovery For service discovery mechanisms not natively supported by Prometheus, file-based service discovery provides an interface for integrating. Use the Run query button to call the Application Programming Interface and get back results. It makes it easy for you to: produce and consume messages, view the state of the cluster, and perform administrative actions without using the native Kafka protocol or clients. In this course, you will learn how to use the Kafka Streams API with hands-on examples in Java 8. In this tutorial, we are going to create simple Java example that creates a Kafka producer. In this example, Kong will reverse proxy every incoming request with the specified incoming host to the associated upstream URL. ) and visualize it with D3. I am creating two playlists for Kafka tutorials, In this video, I talk about the training and the playlist. 11 release brings a new major feature: exactly-once semantics. 7+, Python 3. For example after executing the drop command when we get the same “Gold Standard Message” that Topic is marked for deletion but when you check the topic is still present. Apache Kafka is a popular distributed message broker designed to efficiently handle large volumes of real-time data. This list should be in the form of host1:port1,host2:port2 These urls are just used for the initial connection to discover the full cluster membership (which may change dynamically) so this list need not contain the full set of servers (you may want more than one, though, in case a server is down). Kafka is a popular publish-subscribe messaging system. Technically, API stands for Application Programming Interface. I need to write a REST API for kafka which can read or write data from consumer/producer respectively. 9 (11/2015), although the idea had been in existence before this release, but as a project named Copycat. By automating administration, user management and provisioning can be centralized in an existing tool, rather than using the Webex Control Hub. We assume the functionality of Spark is stable and therefore the examples should be valid for later releases. It enables Python developers to create, configure, and manage AWS services, such as EC2 and S3. The role of Kafka’s Producer API is to wrap the two producers – kafka. You can vote up the examples you like. It runs under Python 2. It performs basic operations, like: list all available topics. Kafka Tutorial. In this tutorial, you learn how to:. Get a list of users. Apache Kafka is a popular distributed message broker designed to efficiently handle large volumes of real-time data. The Kafka Streams API allows you to create real-time applications that power your core business. If you wish to permanently remove the available licenses, let our support team know. Additional new features include optional tagged fields in the Kafka serialisation format, support for dynamic application log levels in the Admin API, a metric to measure the number of tasks on a connector, and a new API for replica reassignment. It expands upon important stream handling ideas, for example, appropriately recognizing occasion time and developing time, windowing backing, and necessary yet useful administration and constant questioning of utilization states. 1/z(For my case). Set autoFlush to true if you have configured the producer's linger. Oracle Cloud Infrastructure offers the Streaming service. In terms of Kafka Connect, the inbound connector implements a "sink" connector. It enables Python developers to create, configure, and manage AWS services, such as EC2 and S3. PyKafka is a programmer-friendly Kafka client for Python. Note : the Agent version in the example may be for a newer version of the Agent than what you have installed. The Connect Service is part of the Confluent platform and comes with the platform’s distribution along with Apache Kafka. Users should not refer to this class directly. Modhashes can be obtained via the /api/me. Even if a client already exists in your Kakfa cluster, Kafka Connect can insert additional data for processing inside your Kafka cluster. Using Kafka's administration API, we regularly measured the size of the output topic. KCache not only generalizes this functionality, but provides a simple Map based API for ease of use. If this fails, copy the URL from the console and manually open it in your browser. servers value you provide to Kafka clients (producer and consumer). Requesting Statistical Information about the GroupWise System;. Using the Pulsar Kafka compatibility wrapper. This blog covers real-time end-to-end integration with Kafka in Apache Spark's Structured Streaming, consuming messages from it, doing simple to complex windowing ETL, and pushing the desired output to various sinks such as memory, console, file, databases, and back to Kafka itself. NET APIs, the TAPI (Telephony API) for voice applications, and database access APIs are examples of the local API form. The official MongoDB Connector for Apache® Kafka® is developed and supported by MongoDB engineers and verified by Confluent. enable": true`) or by calling `. To see examples of producers and consumers written in various languages, refer to GitHub examples. Energy Information Administration makes its data available through an Application Programming Interface (API) to better serve our customers. For example, if there is an existing user with a username and password, this API links that user to a federated user identity, so that when the federated user identity is used, the user signs in as the existing user account. AdminClient. Why, oh why JMX. Kafka offers a programmable interface (API) for a lot of languages to produce and consume data. A Simple Example The WebSocket API was introduced with Java EE7, in this example we’ll create a client which will send a message to the server and the server will send it back. com Skip to Job Postings , Search Close. The Reactor Kafka API benefits from non-blocking back-pressure provided by Reactor. Below you will find more details on ShareFile's ODATA implementation and the available resources. With Azure Event Hubs for Apache Kafka, we’re bringing together two powerful distributed streaming platforms so you can access the breadth of Kafka ecosystem applications without having to manage servers or networks. Dialpad’s admin API and webhooks provide organizations with more call data and additional user management functionality. It's worth to note, that the Producer, the Kafka Connect framework and the Kafka Streams library exposes metrics via JMX as well. It was a great opportunity to take our passion for data science and engineering, and apply it to neuroscience. Provides simple REST endpoints for listing and creating Kafka topics. A basic example of a model file is given below:. kube-apiserver [flags] Options. One regularly used healing operation on Kafka clusters is replica reassignments for topic partitions. GroupWise Objects. Reference for Auth. In this article I will talk you through some of the core Apache Kafka concepts, and will also show how to create a Scala Apache Kafka Producer and a Scala Apache Kafka Consumer. In this tutorial, we shall learn Kafka Producer with the help of Example Kafka Producer in Java. The Kafka REST Proxy gives you the opportunity to produce and consume messages over a simple REST API, which makes it easy to view the state of the cluster, and perform administrative actions without using native Kafka clients. For information on how to perform authorization in a web application, see Using OAuth 2. Add Plugins on the Service. The API allows third party applications to access Medicare claims data. The request JSON is stored in. This session will show you how to get streams of data into and out of Kafka with Kafka Connect and REST Proxy, maintain data formats and ensure compatibility with Schema Registry and Avro, and build real-time stream processing applications with Confluent KSQL and Kafka Streams. this lessong covers using Kafka Connect in standalone mode. NET client in particular. You can find this under the Data In/Out option from the left-hand menu, and below that Clients. It runs under Python 2. ms to a non-default value and wish send operations on this template to occur immediately, regardless of that setting, or if you wish to block until the broker has acknowledged receipt according to the producer's acks property. Technically, API stands for Application Programming Interface. For example, KStream can be a regular bean definition, while the Kafka Streams API is used without any. This is the approach adopted in this example, primarily because the Kafka CDI library does not yet support the declaration of a timestamp extractor class in the streams annotation. For example, _admin_Marketing, _developer_Marketing or _product_admin_Adobe Document Cloud for business. To get a local Confluent Platform (with Apache Kafka) up and running quickly, follow the steps in the Confluent Platform Quick Start (Local). Apache Kafka Training is an ever-changing field which has numerous job opportunities and excellent career scope. 0 Sample Requests and Responses. It includes Python implementations of Kafka producers and consumers, which are optionally backed by a C extension built on librdkafka. Pull Requests use these custom media types. Consumers are based on virtual documents, available in the VS Code extension API. Spring Boot example we had exposed a REST API. For example, to get the current flow configuration, a user will require the flows. The Confluent clients for Apache Kafka have passed a major milestone—the release of version 1. So, by learning this course, you give a major boost to your IT career. Covers Kafka Architecture with some small examples from the command line. I covered several topics on the MuleSoft blog last year, but here are some of the bigger non-blog items worth giving a second — or first — look. WMF maintains several internal Kafka clusters, producing hundreds of thousands of messages per second. Kafka Connect was added in the Kafka 0. The Kafka indexing service supports transactional topics which were introduced in Kafka 0. You would also find similar examples with kafka_topic_and_schema & kafka_value_message_schema entities. Join hundreds of knowledge savvy students in learning one of the most promising data-processing libraries on Apache Kafka. Streaming Ona Data with NiFi, Kafka, Druid, and Superset A common need across all our projects and partners' projects is to build up-to-date indicators from stored data. Building a back-end API layer introduces a whole new layer of coordination between server and client code. Link Relations. It enables Python developers to create, configure, and manage AWS services, such as EC2 and S3. Kafka Tutorial. Each alert rule can have multiple notifications. Custom development Work with clients to get them started on Shopify and solve their unique development needs. Deploy the example KafkaConnector to a Kafka Connect cluster. API New Year! Before jumping headlong into the new decade, I want to take a moment and revisit some of the API strategy highlights in 2019. High-level Consumer ¶ * Decide if you want to read messages and events from the `. For posting without the servlet mapping, see examples further down. Eclipse Mosquitto is an open source (EPL/EDL licensed) message broker that implements the MQTT protocol versions 5. Kafka REST Proxy for MapR Streams provides a RESTful interface to MapR Streams and Kafka clusters to consume and product messages and to perform administrative operations. You can implement very complex routing mechanisms beyond simple host matching. Even the Kafka consumers need Zookeeper to know about the last consumed message. ActiveMQ has a Servlet that takes care of the integration between HTTP and the ActiveMQ dispatcher. Join hundreds of knowledge savvy students in learning one of the most promising data-processing libraries on Apache Kafka. Windows API Hooking Tutorial (Example with DLL Injection) The current article is devoted to an easy approach for setting up global API hooks on a system-wide scale. NET client in particular. Learn the Kafka Streams API with Hands-On Examples, Learn Exactly Once, Build and Deploy Apps with Java 8. Apache Kafka Tutorial – Learn about Apache Kafka Consumer with Example Java Application working as a Kafka consumer. HDI Non-ESP with ADL Storage Gen1. As far as open source goes, developers decide to give Kafka a try. The Kafka REST proxy provides a RESTful interface to a Kafka cluster. Apache Kafka is fast becoming the preferred messaging infrastructure for dealing with contemporary, data-centric workloads such as Internet of Things, gaming, and online advertising. 0 release, and uses the Producer and Consumer API under the covers. This will be stored in a JAAS file. APIs may be further classified as local, web, or program APIs: Local APIs are the original form, from which the name came. Get a list of users. It is the easiest to use yet the most powerful technology to process data stored in Kafka. I have Kafka version 0. For posting without the servlet mapping, see examples further down. If you wish to permanently remove the available licenses, let our support team know. As far as open source goes, developers decide to give Kafka a try. You create a new replicated Kafka topic called my-example-topic, then you create a Kafka producer that uses this topic to send records. These examples have only been tested for Spark version 1. If required, the following Kafka broker configuration items can be changed by submitting a support request. Here you find usage samples showing how to run requests on REST API resources from the IEM CLI. Even if a client already exists in your Kakfa cluster, Kafka Connect can insert additional data for processing inside your Kafka cluster. NET client in particular. If you find any errors in the example we would love to hear about them so we can fix them up. In conclusion, we have learned that all Kafka broker configuration stores in ZooKeeper zNodes. For an introduction to the Cloud Console, see the Cloud Console Quickstart. Example drug NDC queries. 0 on Ubuntu 18. The Confluent clients for Apache Kafka have passed a major milestone—the release of version 1. The Java API for Kafka Streams is very powerful, but has a few. They are deserializers used by Kafka consumer to deserialize the binary data received from Kafka cluster to our desire data types. Inbound Connector. It was a great opportunity to take our passion for data science and engineering, and apply it to neuroscience. WMF maintains several internal Kafka clusters, producing hundreds of thousands of messages per second. In addition, KCache can use different implementations for the embedded key-value store that is backed by Kafka. Example query. The API of this class is evolving, see AdminClient for details. @Evolving public class KafkaAdminClient extends AdminClient The default implementation of AdminClient. Rest API for Kafka. Learn how to use the Apache Kafka Producer and Consumer APIs with Kafka on HDInsight. Lets see how we can maintain updated data across all the microservices using Kafka to avoid the above mentioned problem! Kafka Infrastructure Setup: We need to have Kafka cluster up and running along with ZooKeeper. Kafka adapter. Since Kafka doesn't use HTTP for ingestion, it delivers better performance and scale. One regularly used healing operation on Kafka clusters is replica reassignments for topic partitions. In this example, the timeout for initLimit is 5 ticks at 2000 milleseconds a tick, or 10 seconds. 0 release, and uses the Producer and Consumer API under the covers. 9+), but is backwards-compatible with older versions (to 0. I have Kafka version 0. The browser tree in Kafka Tool allows you to view and navigate the objects in your Apache Kafka cluster -- brokers, topics, partitions, consumers -- with a couple of mouse-clicks. Translated and with a preface by Mark Harman Left unfinished by Kafka in 1922 and not published until 1926, two years after his death, The Castle is the haunting tale of K. In terms of Kafka Connect, the inbound connector implements a "sink" connector. For example, they might need to be able to create or delete topics. servers address highlighted. Systems that interface with Kafka, such as management systems and proxies, often need to perform administrative actions. (because early binding will tightly couple Object interfaces and could cause cross version incompatibilities). You create a new replicated Kafka topic called my-example-topic, then you create a Kafka producer that uses this topic to send records. The WireMock admin API is described in OpenAPI 3. 0 there is always 1 radio buffer free for sending so no deadlock can happen if all radio Rx buffers are full. HDI Non-ESP with ADL Storage Gen1. If you are just looking to get started with Kafka consumers this a good place to start. Getting Started with Spark Streaming, Python, and Kafka 12 January 2017 on spark , Spark Streaming , pyspark , jupyter , docker , twitter , json , unbounded data Last month I wrote a series of articles in which I looked at the use of Spark for performing data transformation and manipulation. Light Control Example. Understand options for sending long JSON objects in a request. For example, when there is a skew in inbound/outbound traffic of a broker replica reassignment can be used to move some leaders/followers from the broker; or if there is a skew in disk usage of brokers, replica reassignment can more some. This session will show you how to get streams of data into and out of Kafka with Kafka Connect and REST Proxy, maintain data formats and ensure compatibility with Schema Registry and Avro, and build real-time stream processing applications with Confluent KSQL and Kafka Streams. For an introduction to the Cloud Console, see the Cloud Console Quickstart. Unlike most other admin functions in Pulsar, cluster metadata initialization cannot be performed via the admin REST API or the admin Java client, as metadata initialization involves communicating with ZooKeeper directly. Azure Event Hubs for Kafka Ecosystem supports Apache Kafka 1. In this example, Kong will reverse proxy every incoming request with the specified incoming host to the associated upstream URL. So please email us to let us know. Consumer 3. These examples are extracted from open source projects. In this tutorial, you learn how to:. For DLL injection, we will utilize a registry key called AppInit_DLLs, and to perform API hooking in Windows, we will utilize the Mhook library. Our Apache Kafka Training in Bangalore is designed to enhance your skillset and successfully clear the Apache Kafka Training certification exam. Questions regarding the implementation of Apache Kafka are discussed under this category. Apache Kafka online training program then reviews for the participant, Kafka's integration with other apps and APIs for faster and more efficient performance. KCache not only generalizes this functionality, but provides a simple Map based API for ease of use. The REST API is based on open standards, so you can use any web development language to access the API. In this course, you will learn how to use the Kafka Streams API with hands-on examples in Java 8. Add the necessary configuration in the application-*. An access token is required to use the API, and each token will be limited to five requests per second and 10,000 requests per. It is implemented on top of eachBatch, and it will automatically commit your offsets and heartbeat at the configured interval for you. Modhashes can be obtained via the /api/me. The WireMock admin API is described in OpenAPI 3. The Java API for Kafka Streams is very powerful, but has a few. Following code examples shows how to create a Producer to send messages. You can use this as an example of how to add graph abilities to any event streaming application. The training ends with a look at how Kafka is implemented in the services provided by major companies. In this blog, we will show how Structured Streaming can be leveraged to consume and transform complex data streams from Apache Kafka. Apache Kafka is an open-source stream-processing software platform. If we want to block the sending thread and get the result about the sent message, we can call the get API of the ListenableFuture object. In this tutorial, we are going to create simple Java example that creates a Kafka producer. In addition, the RabbitMQ community has created numerous clients, adaptors and tools that we list here for your convenience. Use the example configuration file that comes packaged with the Agent as a base since it is the most up-to-date configuration. The API Server services REST operations and provides the frontend to the cluster’s shared state through which all other components interact.