Updated March 16, 2023
Introduction to Kafka REST Proxy
The Kafka rest proxy is the supplement that can be appended while generating the Instaclustr, which can support the Apache Kafka cluster, which this addon can increase the cost. It can furnish the RESTful confluence to the Kafka cluster; by using it, we can create and absorb messages, observe the cluster’s condition, and carry out administrative actions without utilizing the native Kafka protocol or client. Furthermore, it can have the in-built Jetty server and be used after configuration to an existing Kafka cluster.
Overview of Kafka REST Proxy
It is like an HTTP proxy for our Kafka cluster in which it can manage the relationship with our collection by creating and absorbing the messages and increasing the number of systems and languages in which it can examine cluster metadata such as the group of the topics and plotting of the partitions to the brokers. Of course, it can go with arbitrary binary data, but it can have first-class management for Avro and combine Confluent’s Kafka registry.
It can append additional processing, such as building and creating an HTTP request in which a REST proxy can analyze the request. Moreover, it can transfer the data within formats for creating and absorbing a request, and it can control all the relations with Kafka to double the bandwidth utilization.
Create Kafka REST Proxy
Let us see how to create an Apache Kafka REST proxy cluster with the help of Azure CLI.
Step 1: While creating a Kafka cluster workflow, there is an option of ‘Security + Networking.’ Click on it and Enable the option, which is available on the left side of the page.
Step 2: When we enable the Kafka REST proxy, we will get a ‘Select Security group’ option through which we can access the REST proxy, and we will get a list, so click on the ‘Select’ option.
And follow the procedure for creating a cluster.
Step 3: After the completion of the cluster, click on Dashboard, then click on HDInsight clusters, then click on flaskhadoop properties, and there is an option through the link we can access it.
Kafka REST Proxy Confluent’s
The Confluent REST proxy can give a RESTful API to the cluster of Apache Kafka, which can create and manage the messages, and to outlook the position of the cluster. The Kafka confluent is the platform that can utilize Apache Kafka as its foremost system, which can manage the client libraries for C/C++, C#, GO, and Python. It has evolved into a REST proxy module to display Apache Kafka’s API with the help of HTTP as it is a publicly available and invariably managed protocol, the slog as a RESTful web API, and the confluent REST proxy is a module or sub-module of the complete Confluent platform.
To utilize the Apache Kafka confluent REST proxy, we have to download it from the GitHub repository, or we can download the already built version, which can be the section of the Confluent platform, as it can be utilized within the Confluent community license as it is not related to the open-source Apache Kafka ecosystem. The confluent REST proxy has been introduced and routed on a distinct node other than the Kafka cluster in which its platform can serve the Apache Kafka, Zookeeper, KSqlDB, REST proxy, and schema registry, all together as a suite.
Kafka REST Proxy Features
Given below are the features mentioned:
- Metadata: Metadata related to the cluster has been interpreted by utilizing the request for the co-related URLs.
- Producers: Alternatively, by revealing the producer object, the API can receive the request pointed at the particular topics and partitions, and it passes via the little pool of producers, and it can be designed by sharing the instances so the config cannot be able to put as per the request whereas we can regulate the setting generally, for example, we can move the ‘compression. Type’, enabling the site-wide compression to decrease the reserve and network.
- Consumers: The consumers can be dynamic and hence, can be connected with the particular REST proxy instance; on the other hand, the counterbalance can commit either involuntary or forcefully, which can be requested by the user, now the one thread can be utilized for multiple consumers to get massive output so the REST proxy can either utilizes the high-level customers or new customers for deploying new customer group which can interpret from the topics hence it can have the limited configuration alternative by using the API so that we can able to modify the setting generally by flowing the customer’s settings in the configuration of the REST proxy.
- Data formats: The REST proxy can interpret and communicate the data with the help of JSON, in which raw bytes can be encrypted using JSON-encoded.
- REST proxy clusters and load balancing: The REST proxy can be outlined for managing the various instances which are moving together to increase the load and can harmlessly run beyond the multiple load-balancing devices.
- Simple consumer: It can be the high-level customer who usually can be brought out, and it is helpful to utilize the low-level interpretation, for example, to get the messages at a particular counterbalance.
- Admin operations: By using API v3, we can generate or delete the topics or update the issues’ configuration.
Conclusion
In this article, we conclude that the Kafka REST proxy is a supplement that can allow us to interconnect with our Kafka cluster, and we have also discussed how to create it, its confluents, and its features.
Recommended Articles
This is a guide to Kafka REST Proxy. Here we discuss the introduction, create Kafka REST proxy, confluent’s, and features. You may also have a look at the following articles to learn more –
