The above table tells us that the latest version of the Strimzi operator can also handle Kafka version 3.0.0 without needing to update the Kafka instances. Yet securely connecting users from across your organization is a hefty task, as is evolving your Kafka setup to address their varied priorities. Cluster operator allows you to create and configure Kafka Clusters, Kafka Connect, MirrorMaker, and Kafka Bridge. Upgrading the Kafka cluster will depend on the method that was used to install Strimzi. If you dont have it, you can edit the manifest manually. Strimzi isnt only about providing a user-friendly Kafka configuration environment but also built with fundamental security features. I patch the Subscription to move to the desired update channel: strimzi-0.28.x. It allows developers to use familiar Kubernetes processes to setup Kafka without digging deep into the infrastructures technicalities. One of the key design principles behind the platform is multi-tenancy. Its fault-tolerant, highly-scalable, and low-latency. And as we all know, each new technology introduces challenges. There are 3 types of Strimzi operators thatll let you set up Apache Kafka on Kubernetes within minutes. NOTE : If you do not have access to the Quay.io Registry (Disconnected platform) or want to use your own container repository, you can push container images to your own registry by following this guide. It only remains to say that we want to expose an internal and external kafka listener with TLS encryption and enable authentication and Kafka simple authorization. With the forked Strimzi operator we were able to support multi-tenancy with mutual TLS. I will also install the version just before the latest to be able to simulate a cluster upgrade later. Every Grafana panel was empty or N/A. As I had the opportunity to recently work on this project, it is interesting that I share my progress with you. In my case, I start by checking the prerequisites and updating my OLM to the latest version. For example, you need to place Kafka brokers on different Kubernetes nodes and ensure each node does not have more than one replicas. 
My configuration does not show all Strimzi capabilities. Highly available topics have a replication factor of at least 3 and partitions distributed evenly among the brokers. Meanwhile, the readiness probe is used to determine if the Kafka pod can start processing incoming requests. I noticed that when Grafana made a request to Prometheus, it returned an empty response https://
I updated the time on my OCP nodes and everything started working ! Kafka is a distributed messaging system that facilitates real-time data processing. "inter.broker.protocol.version"="3.1"', '.spec.kafka.config. (@.spec.provider.name=="Strimzi")].spec.version}', '.spec.kafka.config. Not only does it bring pleasant temperatures, green leaves and flowers, but also a new and shiny release of Axual Platform: release 2022.1. Deploying, upgrading and monitoring become tasks much more mastered and easy to achieve. More and more companies are integrating the Kafka distributed event streaming platform into their information system. The liveness probe will automatically restart a pod if it fails to respond. At Kafka level this is done with the help of a custom principal builder that stores not just the DN of the certificate but also the DN of CA (intermediate and Root) that signed it. Im using yq command to edit files before creating resources. It also blocks the principal.builder.class config. If topics are configured for high availability, upgrading Strimzi should not cause any downtime for consumers and producers that publish and read data from those topics. Likewise, weve been offering a real-time data streaming solution thats built around a Kafka-on-Kubernetes foundation. For Axual platform, we use Strimzi Cluster Operator for deploying Kafka in Kubernetes. However, I will take the opportunity to upgrade my cluster to 3.1.0. As versatile as Strimzi is, we could not use integrate it directly with Axual platform. To use the operators, youll need to set up the associated resources. "log.message.format.version"="3.1"', Access is restricted to authenticated and authorized users, A complete monitoring solution for the Kafka platform, Upgrade Kafka Brokers inter.broker.protocol version. Cluster Operator automatically sets up TLS certificates for data encryption and authentication within the cluster. 
So I made the Prometheus url accessible via a Route and I checked that the metrics were indeed collected by Prometheus. As soon as I accessed the UI, I saw this message in Prometheus UI : And indeed, my Openshift server was not at the right time. Note : From Kafka 3.0.0, when the inter.broker.protocol.version is set to 3.0 or higher, the log.message.format.version property is ignored and doesnt need to be set. As the volumes and origins of must-have data continue to widen, centralized and matured Kafka ecosystems are increasingly attractive for enterprise organizations. As long as unique Root CAs are used per tenant, it is guaranteed that no two tenants can use the same certificate for authorizing access to a topic. For Axual, the solution comes in the form of Strimzi Operators. Strimzi provides docs and manifests to facilitate implementation. Kubernetes, being a cloud-native scalable platform for managing container-based services, is the perfect match for Kafka. It spreads Kafka broker pods through all the available zones to prevent disruptions when one of them goes down. Strimzi makes the broker setup part a lot easier. Here is an image to illustrate my configuration : We can verify that the deployment is done without issue, it should take a few minutes : By default, Strimzi automatically creates a NetworkPolicy resource for every listener that is enabled on a Kafka broker. The reasons can be multiple, it can range from setting up event-oriented architectures, doing change data capture ( CDC ), or setting up a data-centric strategy (Kafka as a message bus). Strimzi operator is a tool made available under the Strimzi open source project, meant to simplify how Kafka is configured, deployed, and managed on Kubernetes. You can do so by creating instances of Custom Resource Definitions or CRDs as an extension to Kubernetes resources. Once I checked the prerequisites and created a dedicated project called (kafka), the first step is to install Strimzi Operator Lifecycle Manager (OLM) : NOTE : Only cluster administrators can install Operators to an OpenShift cluster. With Strimzi, you dont need to go through the complicated process of setting up the probes. Our latest article tracks the typical enterprise journey from dispersed to pervasive Kafka, complete with strategies for addressing these cross-user platform requirements and ensuring controlled, risk-free evolution throughout. It includes some very interesting features to simplify the process of running Apache Kafka in a Kubernetes cluster. Apache Kafka, Kafka and other trademarks, service marks, and copyrights are the property of their respective owners. Even though I used Mutual TLS and simple authz, Strimzi supports more authentication and authorization mechanisms: Prometheus and Grafana Operator help us to deploy local Prometheus, Alertmanager and Grafana instances where we could visualize and monitor Apache Kafka cluster metrics. I used Strimzi on an OpenShift cluster, however the steps should be the same for a vanilla Kubernetes cluster. To provide metrics information, Strimzi uses Prometheus and JMX Exporter Java agent. However, it needs an environment to run where its benefits are not compromised. The Cluster Operator will initiate a third rolling updates for the Kafka cluster. This feature helps us to monitor all the components (Kafka, Zookeeper, Strimzi operators…) easily using Prometheus to store the metrics and Grafana Dashboards to expose them. It brings benefits in day 1 like deploying and running Kafka cluster and also in day 2 like cluster upgrade. Its the foundation of Axual Platform, which has proved reliable for many of our clients. After I have upgraded the Cluster Operator to 0.28.0, the next step is to upgrade all Kafka brokers to the latest supported version of Kafka. When deploying with the OperatorHub method, the operator deploys more resources than described in the previous link (e.g. However, running Kafka on Kubernetes isnt without its problem. We check that everything starts correctly: We specify Prometheus to monitor the pods and collect the specified metric endpoints: And to finish, we import Grafana datasource and dashboards: We can now visualize our new dashboards by retrieving the Route to access to Grafana : From a web browser, the list of dashboards is accessible at the url 
The operator execution is based on the configurations on the respective CRDs. Unfortunately, Strimzi does not have any multi-tenancy features. In summary, here is the procedure I followed: The full upgrade process is very well documented by Strimzi. Thats where Strimzis rack awareness is handy. Once the upgrade is complete, we can check that Kafka is running with the new version : Now that the cluster is using the new version, client applications need to be upgraded. One of the interesting features is that it allows brokers to be distributed over several availability zones, data centers or in several machine room to maintain resilience. To introduce the Strimzi features, I will simulate a production release of a Kafka cluster: Strimzi can be installed in three different ways - see Strimzi installation methods. Let's dive into all the good stuff that we've shipped for this exciting release. Both are cloud-development friendly and meant to scale according to operational needs. Patching the subscription to the latest version will trigger rolling updates, where all brokers are restarted in turn, at different stages of the process. Through a single kind: Kafka manifest, we are able to deploy multiple Zookeeper and Kafka instances. When I deployed my Grafana Dashboard for the first time, I didnt get any metrics from Prometheus. Strimzi provides an abstraction layer to simplify operational tasks. I will use The OperatorHub method as it requires the least handling and allows to take advantage of automatic updates. After patching the Kafka resource, the Cluster Operator will initiate rolling updates for the Kafka cluster. And thanks to the improvements, the upgrade becomes more easy. (Strimzi Supported Versions). User Operator to create, update or delete users in the Kafka environment. This meant we could not use our custom principal builder for multi-tenancy without modifying the Strimzi code. Note: the choice of the installation method will impact the update procedure that we will see at the end. Spring has just come around the corner. Strimzi operators remove many obstacles of running Kafka on Kubernetes. Some of the created resources can be found in the Strimzi GitHub. Kubernetes is a good container platform for running stateless applications or services. Running Kafka on Kubernetes seems to be a natural choice, given both technologies serverless and scalable traits. If you attempt to set up Kafka on Kubernetes, there are many questions that need careful considerations. We are able to deploy a Kafka cluster easily without the configuration complexity that we can have during traditional installation. It takes advantage of Operators to automate all operational tasks that are usually tedious and complicated to set up. This can be done through the rack awareness and pod affinity features. One of the problems is configuring and managing Kafka components on Kubernetes.
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