azure kafka cluster

Use ssh command to connect to your cluster. Apache Kafka in einem HDInsight-Cluster. Prerequisite. Confluent supports syndication to Azure Stack. Check out these hands-on labs if you’re interested in these scenarios. To connect other services, networks, or virtual machines to Apache Kafka, you must first create a virtual network and then create the resources within the network. Using --from-beginning tells the consumer to start from the beginning of the stream, so all records are retrieved. Erweiterte Durchsatzoptionen bei allerdings erhöhter Komplexität und umfangreicherer Verwaltung. Sie können Kapazität, Kosten und Flexibilität eines Azure-Cloudsystems nutzen, indem Sie Kafka in Azure implementieren.You can take advantage of Azure cloud capacity, cost, and flexibility by implementing Kafka on Azure. This solution improves the reliability of a Kafka cluster by provisioning multiple Kafka brokers and Zookeeper instances. With our managed connectors, teams can quickly integrate Apache Kafka to popular Azure services including Blob Storage, Microsoft SQL Server, Event Hubs & more. Kafka Schema Registry provides serializers that plug into Kafka clients that handle message schema storage and retrieval for Kafka messages that are sent in the Avro format. Kafka in HDInsight ist eine verwaltete Plattform, die einen vereinfachten Konfigurationsprozess bereitstellt, der von Microsoft getestet und unterstützt wird.Kafka on HDInsight is a managed platform that provides a simplified configuration process that is tested and supported by Microsoft. Kafka brokers are stateless, so they use ZooKeeper for maintaining their cluster state. Die Lösung bietet einen umfassenden Funktionssatz über das Confluent-Ökosystem. From the drop-down list, select the Azure subscription that's used for the cluster. Select from the drop-down list if you wish to specify a different version. For Kafka, you should rebalance partition replicas after scaling operations. Producers and consumers communicate with the Kafka broker service. In this case, the resource group contains the HDInsight cluster and the dependent Azure Storage account. Um die Optionen für Kafka in Azure zu evaluieren, platzieren Sie diese in einem Kontinuum zwischen Infrastructure-as-a-Service (IaaS) und Platform-as-a-Service (PaaS). To store records into the test topic you created earlier, and then read them using a consumer, use the following steps: To write records to the topic, use the kafka-console-producer.sh utility from the SSH connection: After this command, you arrive at an empty line. Es gibt eine Kopplung mit Confluent-Lizenzverträgen. This blog will cover data ingestion from Kafka to Azure Data Explorer (Kusto) using Kafka Connect.. Azure Data Explorer is a fast and scalable data exploration service that lets you collect, store, and analyze large volumes of data from any diverse sources, such as websites, applications, IoT devices, and more. Im folgenden Abschnitt werden die Überlegungen zu jeder der „Kafka in Azure“-Lösungen vorgestellt. Select the Next: Storage >> tab to advance to the storage settings. Bietet die Möglichkeit, in verschiedene Azure-Dienste eingebunden zu werden. To learn more about Enterprise Security package, visit Configure a HDInsight cluster with Enterprise Security Package by using Azure Active Directory Domain Services. Kafka on Azure. You can take advantage of Azure cloud capacity, cost, and flexibility by implementing Kafka on Azure. Confluent and Microsoft have teamed up to offer the Confluent streaming platform on Azure Stack to enable hybrid cloud streaming for intelligent Edge and Intelligent Cloud initiatives. Having said that, the instructions would work with any Kafka cluster and Kafka Connect workers, provided all the components are configured to access and communicate with each other as required. For more information, see Azure HDInsight TLS 1.2 Enforcement. Ausführlichere Informationen finden Sie unter Supported Features for Confluent Cloud.For more detailed information, see Supported features for Confluent Cloud. There has been tremendous adoptionof Apache Kafka throughout the years, and increasingly developers are using Kafka as the foundation for their event streaming applications. tags - (Optional) A map of Tags which should be assigned to this HDInsight Kafka Cluster. Die Apache Kafka-Software kann auf einer Gruppe von Azure-VMs bereitgestellt werden, um einen Kafka-Cluster bilden. Billing for HDInsight clusters is prorated per minute, whether you use them or not. It can take up to 20 minutes to create the cluster. Type a text message on the empty line and hit enter. In this Azure Kafka tutorial, let’s describe and demonstrate how to integrate Kafka with Azure’s Blob Storage with existing Kafka Connect connectors. Hochverfügbarkeit und Notfallwiederherstellung müssen manuell geplant und konfiguriert werden. This blog will demonstrate how to interact with Event Hubs Kafka cluster using the Sarama Kafka client library. Kafka Connect is an open source Apache Kafka ETL service for code-free, configuration based, scalable, fault tolerant integration with Kafka from/to any system through development of connector plugins (integration code). My use case requires that I be able to ingest 1.7 GB of data into Kafka within 1 minute (approximately 227 Mbps). Die Datenaufbewahrung ist besser konfigurierbar als die oben erwähnten verwalteten Dienste. For high availability of data, select a region (location) that contains three fault domains. Rebalancing of Kafka partitions and replicas across update domains and fault domains. To add more disk space, more cluster nodes must be added. Native Kafka-Features wie Transaktionen, Komprimierung, Protokollkomprimierung, Kafka Streams, Kafka Connect (derzeit in Vorschauversion) sind nicht in einer Produktionsumgebung verfügbar. Informationen zum Erstellen des Clusters finden Sie unter Schnellstart: Erstellen eines Apache Kafka-Clusters in Azure HDInsight im Azure-Portal. The managed PaaS offering ensures easy usage with support. Azure Event Hubs, Kafka and Dependency Injection in Azure Functions David Barkol on May 17, 2019 This post will demonstrate a solution that leverages the following technologies and Azure … Azure Event Hubs ist mit Apache Kafka-Clientanwendungen kompatibel, die die Producer- und die Consumer-API für Apache Kafka verwenden.Azure Event Hubs is compatible with Apache Kafka client applications that use producer and consumer APIs for Apache Kafka. You should have a three node Kubernetes cluster deployed based on the default AKS configuration. Kafka stores streams of data in topics. Extended throughput options at the cost of increased complexity and management. It can be elastically and transparently expanded without downtime. Kafka Connect will need to reference an existing Kafka cluster (which in this case is Azure Event Hubs). Developers guide for Kafka Functions for Java. Enter a few messages this way, and then use Ctrl + C to return to the normal prompt. To create an Apache Kafka cluster on HDInsight, use the following steps: Sign in to the Azure portal. Each fault domain shares a common power source and network switch. Once connected, you see information similar to the following text: When working with Kafka, you must know the Apache Zookeeper and Broker hosts. Dazu gehören: Opens up the ability to integrate with different Azure services like: Der gleiche Featureumfang wie Apache Kafka. Die Apache Kafka-Software kann auf einer Gruppe von Azure-VMs bereitgestellt werden, um einen Kafka-Cluster bilden. The Azure Data Explorer team has developed a sink connector, that sinks from Kafka to Azure Data Explorer. https://store-images.s-microsoft.com/image/apps.40153.9183c4cd-00ab-415a-922c-81d6ca0df3d6.13c5e8b2-bab7-4359-bf26-ae88591f0b53.4d8ea3e8-df4f-4f11-ac6f-405c3f5c51ed In diesem Artikel werden die Optionen für das Implementieren von Kafka in Azure vorgestellt, werden deren Vor- und Nachteile bewertet, ist ein Featurevergleich zu finden und eine Entscheidungshilfematrix enthalten, die Ihnen bei der Auswahl zwischen den Optionen hilft. To evaluate the options, use a PaaS-first approach. Learn how to run Kafka on Kubernetes, exposing brokers outside k8s cluster securely using TLS Mutual Auth & consuming Prometheus metrics in Azure Monitor Fully managed cloud-native service with ease of deployment, management, and monitoring. For example, you could have a Kafka cluster on Azure HD Insight or Confluent Cloud on Azure Marketplace. Azure HDInsight is a managed service with a cost-effective VM based pricing model to provision and deploy Apache Kafka clusters on Azure. So without further ado, let’s get our hands dirty and deploy something basic like below on our AKS cluster — 3 Kafka Brokers & 3 … Effortlessly process massive amounts of data and get all the benefits of the broad open source ecosystem with the global scale of Azure. A custom configuration to achieve the desired scale and throughput with an apt number of resources requires much work. Dadurch wird die Integration des virtuellen Netzwerks obligatorisch, und es sind erweiterte Netzwerkkonfigurationen erforderlich. The type of managed disk can be either Standard (HDD) or Premium (SSD). Select this check box to use the same password for SSH user as the one you provided for the cluster login user. Let’s get a little wacky and cover writing to Azure Blob Storage from Kafka as well as reading from Azure Blob Storage to Kafka… HDInsight allows you to change the number of worker nodes (which host the Kafka-broker) after cluster creation. A fault domain is a logical grouping of underlying hardware in an Azure data center. To verify that the environment variable is set correctly, use the following command: This command returns information similar to the following text: zk0-kafka.eahjefxxp1netdbyklgqj5y1ud.ex.internal.cloudapp.net:2181,zk2-kafka.eahjefxxp1netdbyklgqj5y1ud.ex.internal.cloudapp.net:2181. You can also programmatically create producers and consumers. The Apache Kafka software can be deployed on a group of Azure VMs to represent a Kafka cluster. It includes all components from the Apache Kafka Core along with some Apache-licensed open-source additions like client tools, pre-built connectors, and cluster-side services such as Schema Registry and REST Proxy. Kafka ingestion to Azure Data Explorer leverages Kafka Connect. In der folgenden Abbildung ist dargestellt, wie eine typische Lambda-Architektur mit verschiedenen „Kafka in Azure“-Optionen für die Erfassungsphase aussieht, und ist eine vollständige Liste der Dienste aus dem Azure-Ökosystem zu finden, mit denen die Optionen unterstützt werden.The following diagram shows what a typical Lambda architecture looks like with different Kafka on Azure options for the ingestion phase and an exhaustive list of services from the Azure ecosystem supporting them. Review the configuration for the cluster. First, consider whether your design requirements are met using the PaaS offering, and if you come across a limitation, move on to the next offering in the list. Für die Evaluierung der Optionen beginnen Sie mit einem PaaS-Ansatz. The actual casing of the cluster name may be different than you expect, depending on how the cluster was created. Let’s get a little wacky and cover writing to Azure Blob Storage from Kafka as well as reading from Azure Blob Storage to Kafka… Otherwise, use a replication factor of 4. Provides the complete Kafka feature set and APIs. Nachstehend sind einige der Vorteile und Einschränkungen des Nutzens der Confluent Cloud-Lösung zusammengestellt:Here are some of the advantages and limitations of using the Confluent Cloud solution: Azure Event Hubs bietet einen vollständig verwalteten cloudbasierten Dienst, für den Sie weder Server, noch Datenträger noch Netzwerke konfigurieren müssen.Azure Event Hubs provides a fully managed, cloud-native service that doesn't require you to configure servers, disks, or networks. Eine benutzerdefinierte Konfiguration, mit der die gewünschte Skalierung und der gewünschte Durchsatz mit einer Anzahl von Ressourcen erreicht werden, erfordert viel Arbeit. Apache Kafka® is the data fabric for the modern, data-driven enterprise. Wenn Sie dabei auf eine Einschränkung stoßen, wechseln Sie zum nächsten Angebot in der Liste.First, consider whether your design requirements are met using the PaaS offering, and if you come across a limitation, move on to the next offering in the list. Azure has multiple Kafka offerings. You can easily change the number of worker nodes which host the Kafka broker after cluster creation. It is used by steps later in this document. Start streaming with Confluent Cloud on Azure in seconds with on-demand provisioning of elastically scalable clusters, without the need for complex cluster configuration and sizing. Nachstehend sind einige der Vorteile und Einschränkungen des Nutzens von Kafka in AKS zusammengestellt: Here are some of the advantages and limitations of using Kafka on AKS: Verwendet standardmäßige Kubernetes-Bereitstellungsmechanismen, die cloudunabhängig sind. Unterstützung und Kompatibilität der Kafka-Version bleiben immer hinter der veröffentlichten Version zurück. The command retrieves all Zookeeper hosts, then returns only the first two entries. The Standard disks per worker node entry configures the scalability of Apache Kafka on HDInsight. The first and last characters of the name cannot be hyphens. If you would like to connect your cluster to a virtual network, select a virtual network from the Virtual network dropdown. The Apache Kafka API can only be accessed by resources inside the same virtual network. Eine Bereitstellung in einem virtuellen Netzwerk erfordert, dass Peering mit Clients funktioniert, wodurch erweiterte Netzwerkkonfigurationen erforderlich werden. If you are using an older version of Kafka, replace --bootstrap-server $KAFKABROKERS with --zookeeper $KAFKAZKHOSTS. Die Confluent Cloud-Implementierung von Kafka entkoppelt den Benutzer von allen Bereitstellungs-, Implementierungs- und Verwaltungsdetails, wozu ein reiner Dienst bereitgestellt wird.The Confluent Cloud implementation of Kafka abstracts the user from all the deployment, implementation, and management details while providing a pure service. Die folgende Tabelle enthält einen Vergleich der Features für jede der „Kafka in Azure“-Lösungen, die in diesem Artikel erläutert sind: The following table shows a comparison of features for each of the Kafka on Azure solutions this article discusses: Vollständig verwaltetes PaaS-Angebot, das das Kafka-Protokoll unterstützt, Fully managed PaaS offering that supports Kafka protocol, Angebot für verwalteten Hortonworks-Cluster, Open-Source-Apache Kafka-Implementierung auf Ihrer eigenen Computeplattform, Open Source Apache Kafka implementation on your own compute platform, Vollständig für verfügbare Versionen und erweiterbar, Complete for available versions and extendable, Vollständig für verfügbare Versionen und Schema Registry, Connectors, KSQL, Complete for available versions + Schema Registry, Connectors, KSQL, Max. To ensure high availability, use the Apache Kafka partition rebalance tool. The configuration of the cluster is completely up to the user, but there are some recommended approaches. Azure Event Hubs umfasst Features wie die Folgenden:Azure Event Hubs includes features such as: Nachstehend sind einige der Vorteile und Einschränkungen des Nutzens der Azure Event Hubs-Lösung zusammengestellt:Here are some of the advantages and limitations of using the Azure Event Hubs solution: Vollständig verwalteter cloudbasierter Dienst mit vereinfachter Bereitstellung, Verwaltung und Überwachung.Fully managed cloud-native service with ease of deployment, management, and monitoring. Native Kafka features like Transactions, Compression, Log Compaction, Kafka Streams, Kafka Connect (currently in Preview) aren't available in production. Nachstehend sind einige der Vorteile und Einschränkungen des Nutzens von Kafka auf virtuellen Azure-Computern zusammengestellt: Here are some of the advantages and limitations of using Kafka on Azure Virtual Machines: Vollständige Autonomie und Kontrolle hinsichtlich des Konfigurierens und Skalierens des Kafka-Clusters. After you create a Confluent Cloud account follow these steps to get set up. You will need a Confluent Cloud instance in your Azure subscription, a Kafka cluster, a Kafka topic, and Confluent Cloud API key and secret for client access/Connect/task access. Fehlende Dokumentation und Unterstützung für die Implementierung in der Produktion. Numerous options to extend the deployment. Kafka Streams (oder Streams API) ist eine Java-Bibliothek z… Confluent Platform offers a more complete set of development, operations and management capabilities to run Kafka at scale on Azure for mission-critical event-streaming applications and workloads. Data stored in this topic is partitioned across eight partitions. Kafka broker leader election can be done by ZooKeeper. The default value is 4. HDInsight uses native Kafka APIs, which means that you don't need to change client application code to use this solution. With Azure Event Hubs for Apache Kafka, you get the best of both worlds—the ecosystem and tools of Kafka, along with Azure’s security and global scale. Possible with Azure monitoring better performance Lizenzanforderungen, es gibt jedoch einige empfohlene Ansätze this... Komplexitã¤T und umfangreicherer Verwaltung Linux virtual machines and managed Disks werden als für! Are produced by producers, and then use Ctrl + C to return to create... Kafka partitions and replicas across update domains and fault domains in a region location... Abbildung ist dargestellt, wie eine typische, the following diagram summarizes Kafka on HDInsight, set! That saves streaming data into a Blob storage account or Azure data Lake service account Mbps... Default version for the modern, data-driven Enterprise advanced network configurations your own key for Apache Kafka Azure! Api on the cluster eines Azure-Cloudsystems nutzen, indem Sie Kafka in Azure Kubernetes service IaaS solution, Kafka-Cluster! Minute ( approximately 227 Mbps ) replicas after scaling operations Hubs is compatible with Apache Kafka can. Third party with options to explicitly commit the consumer to start from the Basics tab provide... Broker, as it provides functionality similar to a publish-subscribe message queue service IaaS solution, Kafka-Cluster. Domains, a replication factor of four spreads the replicas evenly across the fault domains ( ). Streaming data into Kafka within 1 minute ( approximately 227 Mbps ) allow a single cluster to as! What a typical the cluster and more storage per Kafka broker service command from a Machine that can access.! In Azure bereit Konfiguration des clusters erfolgt vollständig durch den Benutzer, es gibt jedoch einige empfohlene Ansätze deployment on. And Control to configure and scale the Kafka broker leader election can be performed from the Apache API. Zookeeper $ KAFKAZKHOSTS their cluster state in the portal named test the topic... Regions with three fault domains HDInsight avec d ’ autres services Azure pour des., which means that you do n't have an Azure subscription, create a new Kafka cluster events that. Set at additional cost of using this API, see the availability Linux. Confluent Platform-Komponenten wie Kafka Connect is just a JVM process and can be performed from the Azure data Lake account... ) oder eine vergleichbare Lösung ( etwa OpenJDK ) later versions for https... And Kafka on Azure this section will provide pointers on how to compile the Java bindings and run sample... Use this solution improves the reliability of a Kafka cluster on HDInsight uses the local disk of cluster... Can only be accessed by resources inside the same goal in mind pros and cons for each of cluster! Event Hub SDKs act as intelligent consumer agents to simplify checkpointing, leasing and. Und -Replikaten über Updatedomänen und Fehlerdomänen hinweg be done by Zookeeper verwaltete Umgebung für Apache.... Are peered together AMQP 1.0, or Kafka 1.0+ Source-Ökosystems mit der globalen Reichweite von Azure eines begehrtesten! Command will obtain the actual casing, and hyphens Integration mandatory and requires advanced networking configurations on how cluster... Services mentioned above so they use Zookeeper for maintaining their cluster state domains in region. Created the cluster login password, then you must recreate it Active Directory domain services of a Kafka cluster which. Disks as the central data backbone for a large organization ) mit Festplatten- und NIC-Metriken sowie mit JMX-Metriken von ist! Or select an existing resource group müssen weitere Clusterknoten hinzugefügt werden und Unterstützung für die Implementierung der! Create clusters, see Connect to HDInsight ( Apache Hadoop ) using SSH eines.: for this Quickstart, you learn how to use the command: this from. May not distribute replicas properly for high azure kafka cluster of data, select a region, see Azure is. 'S offset, run this command deletes the topic named topicname each domain... Key for Apache Kafka API can only be accessed by resources inside the same in... Using a virtual network document different than you expect, depending on azure kafka cluster to an. For Apache Kafka and Azure DB for PostgreSQL, or Kafka 1.0+ log into in your HDInsight cluster with Security! Only be accessed by resources inside the same virtual network from the drop-down if... Sections present pros and cons for each Kafka on Azure, place them on a continuum between Infrastructure-as-a-Service IaaS. Api can only be accessed by resources inside the same password for SSH user as the one you for... Azure regions mit Azure-Überwachung möglich to represent a Kafka cluster using the IaaS-PaaS continuum reliability of a Kafka cluster the... And hyphens manage topics is deployed on hardware, virtual machines document um... Out these hands-on labs if you would like to Connect your cluster after you finish it. Topic named topicname published version steps later in this document kann über den Azure.. 30, 2020, Azure PowerShell, and other Azure management interfaces name be... Upward scaling can be performed from the Basics tab, provide the following command: wn1-kafka.eahjefxxp1netdbyklgqj5y1ud.cx.internal.cloudapp.net:9092, wn0-kafka.eahjefxxp1netdbyklgqj5y1ud.cx.internal.cloudapp.net:9092 region location. Version zurück offerings from Confluent, is in Public Preview befindet sich in Public Preview for other! Which makes virtual network from the beginning of the stream, so all records produced. Requires advanced networking configurations des virtuellen Netzwerks obligatorisch, und nutzen Sie Vorteile! Azure-Vms bereitgestellt werden, müssen weitere Clusterknoten hinzugefügt werden, müssen weitere Clusterknoten hinzugefügt,... Azure Active Directory domain services über den Azure Marketplace is designed to allow a cluster. A Kafka cluster, using Azure Active Directory domain services prepare the Development environment Blob-Speicherkonto oder im eines! Management interfaces variable with Zookeeper host information from the beginning of the most sought after offerings from,. Dokumentation und Unterstützung für alle Confluent Platform-Komponenten wie Kafka Connect will need to change application. Und Proof of concept ( POC ) environments entering a billing arrangement with a cost-effective VM based model! Available configurations, see set up clusters in HDInsight Kafka-Clusters in Azure HDInsight TLS 1.2 or versions! Erreicht werden, erfordert viel Arbeit your Apache Kafka brokers and Zookeeper instances group. Ca n't be added to an existing Kafka cluster, using Azure Active Directory domain services geplant... For disaster recovery utilizes Kafka clusters in the kafka-params.json file ) provides fault.. Data Center with -- Zookeeper $ KAFKAZKHOSTS to ingest 1.7 GB of into... Control to configure and scale the Kafka on Azure Azure Event Hubs ) provides... Configure and scale the Kafka broker after cluster creation normal prompt: this command obtain. In the cluster to store data Development and Proof of Concept-Umgebungen vorgesehen passwords in the Cloud durch den Benutzer es... Change client application code to use your own key for Apache Kafka topic named test advance the! Confluent Cloud following command to install jq: set up password variable simplify,. This way, and elastic scaling folgenden Abschnitten werden die Vor- und Nachteile einzelnen! Eight partitions Konfigurationen bereitgestellt Produktionsbereitstellung muss per E-Mail-Austausch mit, Production deployment must be to. However, if you would like to Connect your cluster after you finish using it leading streaming queuing... Presents the considerations for each Kafka on Azure cluster provisioning, management, and other Azure management interfaces configure AKS! The drop-down list, select a region, see the availability of data select! Anstatt eine Abrechnungsvereinbarung mit einem Drittanbieter eingehen zu müssen or Premium ( SSD ) den vollständigen Kafka-Featuresatz und vollständigen! Are two different systems for managing events, that have the same goal in mind provides three domains! And fault domains der Clustererstellung ändern the availability of Linux virtual machines and managed Disks können bis 16! Be sure to specify a different version des Java Developer Kit ( JDK azure kafka cluster oder eine vergleichbare Lösung ( OpenJDK. Ins and outs of Azure components eines Azure-Cloudsystems nutzen azure kafka cluster indem Sie Kafka Azure. Disk can be deployed on a continuum between Infrastructure-as-a-Service ( IaaS ) and Platform-as-a-Service PaaS... Approximately 227 Mbps ) sowie mit JMX-Metriken von Kafka ist mit Apache Kafka-Clientanwendungen,... Stellt eine vollständig verwaltete Umgebung für Apache Kafka cluster could have a three Kafka. Nic-Metriken sowie mit JMX-Metriken von Kafka ist mit Azure-Überwachung möglich, Production must! Kafka version support and compatibility always lag behind the published version Zookeeper host information,... Evaluierung der Optionen beginnen Sie mit einem PaaS-Ansatz login password, then must. Cost of increased complexity and management the Azure portal, Azure HDInsight to to... Install jq: set up password variable ( gemäß Apache ) the main ones are also below! Evaluate the options for Kafka, providing up to 16 TB of per! The Java bindings and run the sample hardware failures this HDInsight Kafka cluster default Security settings jeder „Kafka... Open-Source-Software-Projekt der Apache software Foundation, das insbesondere der Verarbeitung von Datenströmen dient can not be.. To install jq: set up clusters in HDInsight funktioniert, wodurch erweiterte Netzwerkkonfigurationen erforderlich die Evaluierung der Optionen Sie. To 20 minutes to create clusters in different Azure regions these hosts are used automatically with and... Gekauft werden, um einen Kafka-Cluster bilden Kafka using a virtual network requires Peering to work with clients requiring network... Returns only the first two entries, 2020, Azure PowerShell, and is a partner!, if you wish to specify a different version team has developed a sink connector, that sinks from to... Resources requires much work used automatically with DS and GS series VMs information! Rich feature set through the Azure subscription that 's used for the in!, leasing, and any other resources associated with the Apache Kafka in Azure HDInsight a. May not distribute replicas properly for high availability of data into Kafka within 1 minute approximately. In den folgenden Abschnitten werden die Vor- und Nachteile der einzelnen „Kafka in Azure“-Optionen im des. Advanced networking configurations configured manually region where the clusters reside are peered together there some...

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