If your Kubernetes cluster goes down then your Kafka cluster goes down as well in a worst-case scenario. With this you can reach zero-downtime. The biggest challenges will happen when configuring … Challenges running Kafka on Kubernetes Apache Kafka became the de facto standard for event streaming platforms. Kubernetes supports stateful workloads but you have to treat it with caution as Kelsey Hightower points out in two recent tweets: Now should you be running Kafka on Kubernetes? The Linux operating system has become very stable now and is capable of cleanly … Kubernetes can manage many applications at massive scale … Kafka is used for building real-time data pipelines and streaming apps. Today, many teams do not just deploy stateless microservices on Kubernetes, but also stateful client applications and server infrastructure. Kafka DevOps with Kubernetes and GitOps¶. Once you get used to Kubernetes (and it does not take long), you’ll see that Kafka management becomes much easier. This is why Kafka is preferred by many top-tier tech companies including Uber, Zalando and AirBnB. In the Recommendations for Deploying Apache Kafka on Kubernetes paper, we explained the available options and their tradeoffs. The list of awesome operators mentions two operators for Kafka — one of them being Strimzi. And of course there are development environments, testing environments, trying-out-a-new-version environments, blue-green deployment environments and so on. Kafka is a stateful service, and this does make the Kubernetes configuration more complex than it is for stateless microservices. Once understood, you can use the same concepts for a Kafka cluster, too. In Kubernetes, set the container resource limits and requests accordingly. Since then, we’ve heard from quite a few members of the community question whether running Kafka on Kubernetes is actually a good idea. Confluent veröffentlichte nun einen Operator für Apache Kafka auf Kubernetes… In my view, Kafka has specific requirements, and Kubernetes delivers the mechanisms to support Kafka. At the heart of provisioning and managing Kafka with Kubernetes is a Kafka Operator. Terms & Conditions Privacy Policy Do Not Sell My Information Modern Slavery Policy, Apache, Apache Kafka, Kafka, and associated open source project names are trademarks of the Apache Software Foundation. And Kafka clients need more CPU if they are using encryption, but this does not impact the brokers. Since I am using Azure Kubernetes Service, this is powered by an Azure Load Balancer which has a public IP (20.44.239.202 in this example) and exposes Kafka to external clients over port 9094. Read the Noteworthy in Tech newsletter. It visualizes key metrics like under-replicated and offline partitions in a very intuitive way. StatefulSets support automated updates: The RollingUpdate strategy will update each Kafka pod one at a time. Kubernetes is an open source platform which runs a cluster of worker nodes and master nodes which allow teams to deploy, manage, scale, and automate containerized workloads such as Kafka. Kafka brokers are memory-eaters. First, if you are running most of your other applications and microservices on Kubernetes, it becomes the organizational path of least resistance. However, Kubernetes makes it very easy to scale pods to a certain number of replicas which means that the desired number of Kafka brokers can be defined declaratively. If the liveness probe fails, Kubernetes will kill the container and automatically restart it if the restart policy is set accordingly. Kafka brokers are CPU-friendly. I see situations with larger organizations where deploying Kafka outside of Kubernetes causes significant organizational headache that involves many approvals. The Kubernetes website contains a very good tutorial on how to set up ZooKeeper using manifests. The biggest challenges will happen when configuring storage and network, and you’ll want to make sure both subsystems deliver consistent low latency. Don’t use NFS. This is why Kafka is preferred among several of the top-tier tech companies such as Uber, Zalando and AirBnB. Let’s talk about the state of cloud-native Apache Kafka® and other distributed systems on Kubernetes. As operations teams adapt to support these technologies in production, cloud-native platforms like Pivotal Cloud Foundry and Kubernetes … To test this connection, use the following steps: Create a Kafka topic that is used by the test application. Unfortunately, many organizations still can’t deliver consistent low latency on their shared storage device. Storage in containers is ephemeral — data will be lost after a restart. The answer is no. Kubernetes is designed to run stateless workloads. https://strimzi.io/docs/master/#kafka_dashboard. MirrorMaker is one possibility, another one would be to leverage S3 for backups with a connector, as described in this blog post by Zalando. It goes far beyond reliable and scalable high-volume … It allows you to install predefined software packages described in Helm charts. As the number of use cases grow, you end up with multiple production clusters. Applications and resources are managed by GitOps with declarative infrastructure, Kubernetes… Now some engineers look at the fact that you need to configure persistent volumes on shared storage and headless services with load balancer policies, and see these as “workarounds” and an indication that StatefulSets on Kubernetes are not quite mature yet. You’ll get your environment allocated faster and will be able to use your time to do productive work rather than fight an organizational battle. At this point, Kafka and Azure Kubernetes Service are in communication through the peered virtual networks. The combination of Kafka and zookeeper is one of the most popular message broker. It’s almost KubeCon! If you want to run Kafka successfully on Kubernetes, you need to make sure the storage team understands the requirements and that together you validate that they are met. Prometheus can collect metrics from all the Java processes (Kafka, Zookeeper, Kafka Connect) with the JMX exporter in a straightforward way. In most cases, the process will require cooperation from the network team. And it is easier to perform configuration changes, upgrades and restarts on all brokers and all clusters. Microservices, events, containers, and orchestrators are dominating our vernacular today. Kafka on Kubernetes, and other stateful services, require the use of shared storage. 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