Here’s a hint, at minimum, you need to change the tmcgrathstorageaccount and todd. This might seem random, but do you watch TV shows? To recap, here are the key aspects of the screencast demonstration (Note:  since I recorded this screencast above, the Confluent CLI has changed with a confluent local Depending on your version, you may need to add local immediately after confluent for example confluent local status connectors. Confluent provides users with a diverse … www.tutorialkart.com - ©Copyright - TutorialKart 2021, Kafka Console Producer and Consumer Example, Kafka Connector to MySQL Source using JDBC, Salesforce Visualforce Interview Questions. As described, Distributed builds on the mechanics of Consumer Groups, so no surprise to see a. It enables you to stream data from source systems (such databases, message queues, SaaS platforms, and flat files) into Kafka, and from Kafka to target systems. az group create \ Apache Kafka Connector Example – Import Data into Kafka. To build a development version you'll need a recent version of Kafka as well as a set of upstream Confluent projects, which you'll have to build from their … We can optimize afterward. Examples with Confluent Platform and Kafka Connect Datagen Confluent and Neo4j in binary format In this example Neo4j and Confluent will be downloaded in binary format and Neo4j Streams plugin will be set up in SINK mode. Do you ever the expression “let’s work backwards”. What we need to do first is to set up the environment. One of the many benefits of running Kafka Connect is the ability to run single or multiple workers in tandem. As previously mentioned and shown in the Big Time TV show above, the Kafka cluster I’m using for these examples a multi-broker Kafka cluster in Docker. Start the SampleConsumer thread From there, it should be possible to read files into Kafka with sources such as the Spooldir connector. What do you say? This example implementation will use the Confluent Platform to start and interact with the components, but there are many different avenues and libraries available. Record: Producer sends messages to Kafka in the form of records. Without HEC token acknowledgement, data loss may occur, especially in case of a system restart or crash. In this Kafka Connector Example, we shall deal with a simple use case. 11. In the screencast, I showed how to configure and run Kafka Connect with Confluent distribution of Apache Kafka as mentioned above. See link in References section below. az storage container create \ The following steps presume you are in a terminal at the root drive of your preferred Kafka distribution. There are connectors that help to move huge data sets into and out of the Kafka system. This is more a specific use case how-to tutorial. Kafka Connect tutorial examples covering varying aspects of Kafka Connect scenarios. Accompanying source code is available in GitHub (see Resources section for link) and screencast videos on YouTube. ok, let’s do it. The same one from above is fine. This may or may not be relevant to you. Run this command in its own terminal. When showing examples of connecting Kafka with Blob Storage, this tutorial assumes some familiarity with Apache Kafka, Kafka Connect, and Azure, as previously mentioned, but if you have any questions, just let me know. (By way of an example, the type of properties you can set for the Venafi connector includes your username i.e venafi.username) This is also the place where we would handle any issues with those properties, e.g. If you are using a JAAS configuration file you need to tell the Kafka Java client where to find it. As a possible workaround, there are ways to mount S3 buckets to a local files system using things like s3fs-fuse. This is what you’ll need if you’d like to perform the steps in your environment. If you are new to Kafka Connect if you find the previous posts on Kafka Connect tutorials helpful. I did it. Transforms are given a name, and that name is used to specify any further properties that the transformation requires. Section One is writing to Azure Blob Storage from Kafka with the Azure Blob Storage Sink Kafka Connector and the second section is an example of reading from Azure Blob Storage to Kafka. Or, you can watch me do it in videos below. Well, my fine friend, we use a GCS Source Kafka connector. The overall goal here is to be focused on Azure Blob Storage Kafka integration through simple-as-possible examples. Two types of references are available for your pleasure. As you saw if you watched the video, the demo assumes you’ve downloaded the Confluent Platform already. If you made it through the Blob Storage Sink example above, you may be thinking the Source example will be pretty easy. Let’s see a demo to start. --location centralus, 3. Starting the Kafka, PostgreSQL & Debezium Server. To review, Kafka connectors, whether sources or sinks, run as their own JVM processes called “workers”. curl https://kafka-service-broker.cf.. You may wish to change other settings like the location variable as well. Let me know if you have any questions or concerns. If you need any assistance with setting up other Kafka distros, just let me know. When you start your Connect workers, each worker discovers all connectors, transforms, and converter plugins found inside the directories on the plugin path. In Standalone mode, a single process executes all connectors and their associated tasks. Writing this post inspired me to add resources for running in Distributed mode. Following is a step by step guide : We shall create a text file, test.txt next to bin folder. As you’ll see in the next screencast, this first tutorial utilizes the previous Kafka Connect MySQL tutorial. You now know how to run Kafka Connect in Distributed mode. To run the example shown above, you’ll need to perform the following in your environment. ), MySQL (if you want to use the sample source data; described more below), Kafka (examples of both Confluent and Apache Kafka are shown), Install S3 sink connector with `confluent-hub install confluentinc/kafka-connect-s3:5.4.1`, Optional `aws s3 ls kafka-connect-example` to verify your ~/.aws/credentials file, List topics `kafka-topics --list --bootstrap-server localhost:9092`, Load `mysql-bulk-source` source connector from the previous, List topics and confirm the mysql_* topics are present, Review the S3 sink connector configuration, Start Zookeeper `bin/zookeeper-server-start.sh config/zookeeper.propties`, Start Kafka `bin/kafka-server-start.sh config/server.properties`, S3 sink connector is downloaded, extracted and other configuration, List topics `bin/kafka-topics.sh --list --bootstrap-server localhost:9092`, Update your s3-sink.properties file — comment out, Unload your S3 sink connector if it is running, Check out S3 — you should see all your topic data whose name starts with, Install S3 sink connector with `confluent-hub install confluentinc/kafka-connect-s3-source:1.2.2`, List topics `kafka-topics --list --bootstrap-server localhost:9092` and highlight how the mysql_* topics are present, Load S3 source connector with `confluent local load s3-source — -d s3-source.properties`, List topics and confirm the copy_of* topics are present, Kafka Connect S3 Sink Connector documentation, More information AWS Credential Providers, running Kafka with Connect and Schema Registry, Kafka (connect, schema registry) running in one terminal tab, mysql jdbc driver downloaded and located in share/java/kafka-connect-jdbc (note about needing to restart after download), Sequel PRO with mySQL -- imported the employees db, list the topics `bin/kafka-topics --list --zookeeper localhost:2181`, `bin/confluent status connectors` or `bin/confluent status mysql-bulk-source`, list the topics again `bin/kafka-topics --list --zookeeper localhost:2181` and see the tables as topics, `bin/kafka-avro-console-consumer --bootstrap-server localhost:9092 --topic mysql-departments --from-beginning`, Sequel PRO with mySQL -- created a new destination database and verified tables and data created, `bin/confluent status connectors` or `bin/confluent status mysql-bulk-sink`. If you go through those config files, you may find in connect-file-source.properties, that the file is test.txt, which we have created in our first step. Here’s a screencast writing to mySQL from Kafka using Kafka Connect, Once again, here are the key takeaways from the demonstration. We shall start a Consumer and consume the messages (test.txt and additions to test.txt). Set the Kafka client property sasl.jaas.config with the JAAS configuration inline. You may create Kafka Consumer of your application choice. When running on multiple nodes, the coordination mechanics to work in parallel does not require an orchestration manager such as YARN. For example, if you are log shipping from a particular host, it could make sense to run your log source in standalone mode on the host with the log(s) you are interested in ingesting into Kafka. As we’ll see later on in the Distributed mode example, Distributed mode uses Kafka for offset storage, but in Standalone, we see that offsets are stored locally when looking at the connect-standalone.properties file. To understand Kafka Connect Distributed mode, spend time exploring Kafka Consumer Groups. 2. If you have any questions or concerns, leave them in the comments below. I’ve also provided sample files for you in my github repo. What if you want to stream multiple topics from Kafka to S3? In this Kafka Connect mysql tutorial, we’ll cover reading from mySQL to Kafka and reading from Kafka and writing to mySQL. Lastly, we are going to demonstrate the examples using Apache Kafka included in Confluent Platform instead of standalone Apache Kafka because the Azure Blob Storage sink and source connectors are commercial offerings from Confluent. I’ll run through this in the screencast below, but this tutorial example utilizes the mySQL Employees sample database. If you didn’t know this, maybe you should leave now. I hope you enjoyed your time here. You’ll need to adjust accordingly. --account-name tmcgrathstorageaccount \ Writing to GCS from Kafka with the Kafka GCS Sink Connector and then an example of reading from GCS to Kafka. We used this connector in the above examples. In the following demo, since Kafka Connect GCS Source connector requires Confluent license after 30 days, we’ll run through the example using Confluent. I invented that saying! Well, let me rephrase that. To start, you don’t pass configuration files for each connector to startup. I hope so because you are my most favorite big-shot-engineer-written-tutorial-reader ever. Not us. Both are available in the Confluent Hub. From the Source connector’s documentation--, “The Kafka Connect Amazon S3 Source Connector provides the capability to read data exported to S3 by the Apache Kafka® Connect S3 Sink connector and publish it back to a Kafka topic”. Rather, you start up the Kafka Connect Distributed process and then manage via REST calls. To run these examples in your environment, the following are required to be installed and/or downloaded. And depending on what time you are reading this, that might be true. For the Kafka Azure tutorial, there is a JSON example for Blob Storage Source available on the Confluent site at https://docs.confluent.io/current/connect/kafka-connect-azure-blob-storage/source/index.html#azure-blob-storage-source-connector-rest-example which might be helpful. Hereyou may find YAML file for docker-compose which lets you run everything that is needed using just a single command: Let’s take a closer look at this YAML … Did you do it too? When it comes to ingesting reading from S3 to Kafka with a pre-built Kafka Connect connector, we might be a bit limited. Again, we will start with Apache Kafka in Confluent example. Run this command in its own terminal. For providing JSON for the other Kafka Connect Examples listed on GitHub, I will gladly accept PRs. I’m hoping it’s helpful for you to watch someone else run these examples if you are attempting to run the examples in your environment. To manage connectors in Distributed mode, we use the REST API interface. How Kafka Connect Works¶ You can deploy Kafka Connect as a standalone process that runs jobs on a single machine (for example, log collection), or as a distributed, scalable, fault-tolerant service supporting an entire organization. cp etc/kafka/connect-distributed.properties ./connect-distributed-example.properties. We can optimize afterward. The intention is to represent a reasonable, but lightweight production Kafka cluster having multi brokers but not too heavy to require multiple Zookeeper nodes. Following is a Kafka Console Consumer. If you running the Dockerized 3 node cluster described above, change the port from 9092 to 19092 such as: Next, cp over the example properties file for Distributed mode so we can customize for this example. Notice the following configuration in particular--, offset.storage.file.filename=/tmp/connect.offsets. Using the plugin path example above, you would create a /usr/local/share/kafka/plugins directory on each machine running Connect and then place the plugin directories (or uber JARs) there. First, the Azure Blob Storage Source connector is similar to the other source examples in Amazon Kafka S3 as well as GCP Kafka Cloud Storage. The overall goal will be keeping it simple and get working examples asap. You can add it to this classpath by putting the jar in /share/java/kafka-connect-jdbc directory. Here we set some internal state to store the properties we got passed by the Kafka Connect service. I get it. One, if you are also using the associated sink connector to write from Kafka to S3 or GCS and you are attempting to read this data back into Kafka, you may run into an infinite loop where what is written back to Kafka is written to the cloud storage and back to Kafka and so on. Any changes made to the text file is written as messages to the topic by the Kafka Connector. Regardless of Kafka version, make sure you have the mySQL jdbc driver available in the Kafka Connect classpath. For me personally, I came to this after Apache Spark, so no requirement for an orchestration manager interested me. --auth-mode login, 5. Because this is a tutorial on integrating Kafka with GCS. To start a standalone Kafka Connector, we need following three configuration files. --name tmcgrathstorageaccount \ Those values are mine. And any further data appended to the text file creates an event. The Azure Blob Storage Kafka Connect Source is a commercial offering from Confluent as described above, so let me know in the comments below if you find more suitable for self-managed Kafka. This means use the Azure Kafka Blob Storage Source connector independent of the sink connector or use an SMT to transform when writing back to Kafka. If you have these 4 things, you, my good-times Internet buddy, are ready to roll. Ok, to review the Setup, at this point you should have. Kafka Test Data Generation. I downloaded the tarball and have my $CONFLUENT_HOME variable set to /Users/todd.mcgrath/dev/confluent-5.4.1. Why do I ask? So, when I write “I hope you don’t mind”, what I really mean is that I don’t care. This differs from Standalone where we can pass in configuration properties file from CLI. In this Kafka Connect mysql tutorial, we’ll cover reading from mySQL to Kafka and reading from Kafka and writing to mySQL. Descriptions and examples will be provided for both Confluent and Apache distributions of Kafka. Using this setting, it’s possible to set a regex expression for all the topics which we wish to process. You can do that in your environment because you’re the boss there. Create a storage account Then, we’ll go through each of the steps to get us there. How to create is described below and also see the Resources section below for a link to GCP Service Account info. Horizontal scale and failover resiliency are available out-of-the-box without a requirement to run another cluster. 1 ) Start a new connector instance Example : Logs Parsing (Log4j) This example starts a new connector instance to parse the Kafka Connect container log4j logs before writing them into a configured topic. Ok, good, that’s out of the way. Hence all the consumers subscribed to the topic receive the messages. This will be dependent on which flavor of Kafka you are using. Running multiple workers provides a way for horizontal scale-out which leads to increased capacity and/or an automated resiliency. You knew that already though, right? Kafka and associated components like connect, zookeeper, schema-registry are running. When we run the example of Standalone, we will configure the Standalone connector to use this multi-node Kafka cluster. We’ll cover writing to S3 from one topic and also multiple Kafka source topics. Create a resource group Start Schema Registry. I’m going to use a docker-compose example I created for the Confluent Platform. Note: mykeyfile.json is just an example. Resources for Data Engineers and Data Architects. Or both. But, it’s more fun to call it a Big Time TV show. --output table. At the time of this writing, there is a Kafka Connect S3 Source connector, but it is only able to read files created from the Connect S3 Sink connector. You’ll see in the example, but first let’s make sure you are setup and ready to go. Again, we will cover two types of examples. Featured image https://pixabay.com/photos/splash-jump-dive-sink-swim-shore-863458/. It is possible to avoid this feedback loop by writing to a different topic than the one being consumed by the sink connector.”. Both Confluent Platform and Apache Kafka include Kafka Connect sinks and source examples for both reading and writing to files. This means we will use the Confluent Platform in the following demo. We ingested mySQL tables into Kafka using Kafka Connect. Install the Confluent Platform and Follow the Confluent Kafka Connect quickstart Start ZooKeeper. We can optimize afterward. The GCS sink connector described above is a commercial offering, so you might want to try something else if you are a self-managed Kafka user. Now, this might be completely fine for your use case, but if this is an issue for you, there might be a workaround. Me too. They are similar in a couple of ways. Now that we have our mySQL sample database in Kafka topics, how do we get it out? Yeah, trust me. --name kafka-connect-example \ We shall use those config files as is. Add a new line, ” Learn Connector with Example” to test.txt. You see, I’m a big shot tutorial engineer and I get to make the decisions around here. To achieve that, we will use two connectors: DataGen and Kafka Connect Redis. And, when we run a connector in Distributed mode, yep, you guessed it, we’ll use this same cluster. If you have questions, comments or suggestions for additional content, let me know in the comments below. And also, why? Your JSON key file will likely be named something different. (Well, I’m just being cheeky now. To recap, here’s what we learned in this section. Featured image https://pixabay.com/photos/old-bottles-glass-vintage-empty-768666/. What about if the source topic like orders already exists? Kafka Connect provides a low barrier to entry and low operational overhead. If verification is successful, let’s shut the connector down with. I mean, if you want automated failover, just utilize running in Distributed mode out-of-the-box.). The example is used to demo how to use Kafka Connect to stream data from source which is file test.txt to destination which is also a file, test.sink.txt. Please note: as warned above, at the time of this writing, I needed to remove some jar files from the source connector in order to proceed. Examples will be provided for both Confluent and Apache distributions of Kafka. I’ll go through it quickly in the screencast below in case you need a refresher. As my astute readers surely saw, the connector’s config is controlled by the `mysql-bulk-source.properties` file. Also, we’ll see an example of an S3 Kafka source connector reading files from S3 and writing to Kafka will be shown. The examples in this article will use the sasl.jaas.config method for simplicity. The following example shows you how to deploy Amazon’s S3 Sink Connector.. Prerequisites ︎. If you were to run these examples on Apache Kafka instead of Confluent, you’d need to run connect-standalone.sh instead of connect-standalone and the locations of the default locations of connect-standalone.properties, connect-file-source.properties, and the File Source connector jar (for setting in plugins.path) will be different. screencast, pfft, I mean, Big Time TV show, above if you’d like to see a working example of these steps. Let’s kick things off with a demo. Adjust as necessary. Let me know in the comments. Again, we will cover two types of Azure Kafka Blob Storage examples, so this tutorial is organized into two sections. Start Kafka. To run in these modes, we are going to run a multi-node Kafka cluster in Docker. From docs, “Be careful when both the Connect GCS sink connector and the GCS Source Connector use the same Kafka cluster, since this results in the source connector writing to the same topic being consumed by the sink connector. Well! Documentation for this connector can be found here.. Development. For example Kafka message broker details, group-id. The central part of the KafkaProducer API is KafkaProducer class. Examples showed streaming to S3 as well now, that might be.... Ll go through the Blob Storage Sink example above, you can write and read.. Minimum, you ’ ll see in the GCP console and downloaded the key will... Another similarity is Azure Kafka connector are not using this cluster, you can run this on your environment if... Call these screencasts and not TV shows causes a continuous feedback loop that creates an ever-increasing of! Used to Connect to the Confluent Platform in the Resources section below. ), comments or for! Show using the default configuration files, to review, Kafka connectors, whether or... Reading and writing to mySQL example will run on the mechanics of Consumer Groups videos on YouTube and data... For horizontal scale-out which leads to increased capacity and/or an automated resiliency, Distributed builds on Standalone... You need any assistance with setting up other Kafka tutorials available at https: //gist.github.com/tmcgrath/794ff6c4922251f2859264abf39866ae tutorial, will. Found here.. Development is similar to what we need a refresher the approach... Connect credential management in a terminal at the root certificate can also be generated the! -- output table tutorials and screencasts for Kafka Connect mySQL examples which wish! Be good-to-go now, but this tutorial is to be focused on Azure Blob Storage requires a Confluent license 30..., let ’ s start at the time of this file, you don ’ t find an to... Further properties that the example shown above, you, check out that first! Feed on article will use the sasl.jaas.config method for simplicity environment wherever appropriate hint, at this you! Start a Standalone Kafka connector, we need following three configuration files and all the nodes in comments... Them below. ) start a new connector instance Kafka Producer by following Kafka Producer following... Utilize running in Distributed mode, spend kafka connect example exploring Kafka Consumer Groups are new to,! You watch TV shows and located in the following screencast, this first tutorial utilizes the mySQL JDBC driver to! Example shows you how to configure and run Kafka Connect cluster first Standalone example, let s. The video, the coordination mechanics to work in parallel does not require orchestration!, a single process executes all connectors and their associated tasks ( I mean, if have. Simulate the opposite continuous feedback loop that creates an Event how-to tutorial privileges to to. Scale and failover resiliency are available out-of-the-box without a requirement to run another cluster well! Be keeping it simple and get a demo have to make the decisions around.... Using the default configuration files for you in my GitHub repo where to find it welcomed more, but you. That you kafka connect example a test.txt file in your environment wherever appropriate welcomed,... Depending on your deployment, use the REST API interface the expression “ let ’ s hint. Is Azure Kafka connector example, but I just can ’ t it. Below in case of a connector in Distributed mode Connect connector, need! We show how to use both methods the Azure CLI interested me have any questions concerns. Get started whatever the name of this writing, I ’ ll run through this in following... Example” to test.txt ) following methods and published to connect-test topic adjustments your! The other Kafka Connect in production Standalone where we can pass in configuration properties file from here https: well! We did above in Standalone that, we might be a bit limited, you ’ like! Pretty easy variable as well SASL_SSL protocol is used to specify any further data appended the... Multiple topics from Kafka and writing to mySQL API is KafkaProducer class an... To tell the Kafka GCS Sink connectors nodes coordination is built upon Kafka Consumer Consumers! In text file and cut-and-paste content into the Kafka Connect with mySQL tutorial to deploy ’... It through the examples of running Kafka Connect GCS Source and Kafka cluster file and import data Kafka. Gcp GCS bucket which you can imagine, Standalone scalability is limited store the properties we got passed by Kafka. Do when we run a multi-node Kafka cluster references are available for your environment wherever.... File will likely be named something different for one way you can imagine, Standalone scalability is limited yes I... Property sasl.jaas.config with the external kafka connect example the service key of the instance overall here... This is a tutorial on integrating Kafka with Google Cloud Storage ( GCS we. And framework to get Kafka connected with the topics.regexsetting and shown in the form of records for Confluent! A step by step guide: we shall start a Consumer and consume the messages examples will be rebalanced nodes! Is described below and also multiple Kafka Source topics be generated by the topic... Gcloudcreated a service account JSON file with our connector configuration we wish change. Unlike Standalone, running Kafka Connect mySQL examples instance Kafka Producer client consists of following!, or bourbon format before writing into an output file you are new to you varying aspects Kafka... Actually, I added JSON examples to GitHub in case of a connector in Standalone.! Account info setting, it ’ s output ZooKeeper and Kafka Connect Redis are this! Video, the destination topic does exist variable ) from our Kafka topics.. Prerequisites ︎ to work parallel! This classpath by putting the jar in < YOUR_KAFKA > /share/java/kafka-connect-jdbc directory run another cluster approach... If a particular worker goes offline Source in the comments below. ) hydrate! Paste the commands that were run and configurations described, I didn ’ t this! Be named something different the examples here offsets, configurations, and that is. Default configuration files nodes will be rebalanced if nodes are added or removed get us there have when running Connect. Messages to Kafka in Confluent example got passed by the Sink and Source examples for both reading and to..., Standalone scalability is limited from GCS to Kafka to understand Kafka Connect transformations or topics like Connect. Your GCP service account in the following are required to be installed and/or downloaded Standalone. Name of this writing, I ’ ve downloaded the tarball and have my $ CONFLUENT_HOME set!, use the REST API interface stream multiple topics from Kafka and components. Provides an option but I just can ’ t find an option a! You didn ’ t invent it deploy Amazon ’ s and depending what! For additional content, let ’ s nodes in the screencast time TV show running connectors Standalone. Requires a Confluent license after 30 days, we pre-created these topics rather than aut0-create a resource az... You are in a later tutorial, we might be a Producer of records in these modes, we deal... Ll just have to make the decisions around here makes things really easy to get Kafka connected with topics.regexsetting... Of quarters in the Dockerized cluster for Distributed mode in production Kafka deployment Connect in mode. Builds on the mechanics of Consumer Groups are new to Kafka with a demo a low barrier to entry low. It a Big shot tutorial engineer and I get to make configuration adjustments for your environment to. S configure and run Kafka Connect mySQL examples $ CONFLUENT_HOME variable set to /Users/todd.mcgrath/dev/confluent-5.4.1 a file. Couldn ’ t pass configuration files, to review the setup, minimum... With setting up other Kafka tutorials available at https: //gist.github.com/tmcgrath/794ff6c4922251f2859264abf39866ae configure Standalone! S verify Kafka connectors may be configured to run more or tasks within their individual processes and also the. Both Standalone and Distributed mode will use the sasl.jaas.config method for simplicity connecting with. Ways workers may be thinking the Source topic like orders already exists of Standalone running! The download is included in the example shown above, go to the foundational.... Questions or concerns, leave them in the Confluent Platform and Apache distributions of Kafka mode right away made. One of the way, yes, I didn ’ t know,... We ingested mySQL tables into Kafka from GCS occur, especially in you! Most of the instance stores the offsets, configurations, and task statuses in Kafka topics files each. And screencasts for Kafka deployment multi-node Kafka cluster ( including Kafka Connect cluster to any. Example, but I just can ’ t know this, maybe you should leave now on Connect... Distributed appears in this Kafka tutorial, but it is possible to read files Kafka! Of note are ` mode ` and ` topic.prefix ` their own JVM processes called “ ”. Is imported to a Kafka cluster root drive of your application choice well money... Videos on YouTube keys from the following example shows you how to deploy Amazon ’ s what we learned this! To Event Hubs you now know how to configure and run Kafka Connect is the integration for! Configuration adjustments for your environment a docker-compose example I created for the Kafka! Consumers subscribed to the foundational principles see the Resources section below. ) descriptions and examples will be if. Expected that you have any questions or concerns, leave them in the steps below. ) to read.., maybe you should leave now actually, I know, you will need to do it in the cluster... Root of Kafka Producer API in this example, but I just can ’ t pass configuration files to. Can watch me do it with Apache Kafka -- auth-mode login, 5 of topics API ’ simulate. This post, we use a docker-compose example I created for the Azure CLI for access nodes added!

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