In this way, if the leader fails the message is not lost. For example, metrics data can identify under-replicated partitions or the rate at which messages are consumed. You can use MirrorMaker 2 in active/passive or active/active cluster configurations. For source connectors, how the source data is partitioned is defined by the connector. Kafka Connect loads existing connector instances on start up and distributes data streaming tasks and connector configuration across worker pods. Secure by Default Built-in security TLS, SCRAM-SHA, and OAuth authentication Automated Certificate Management Simple yet Configurable NodePort, Load balancer and Ingress options Rack awareness for HA Logging can be defined directly (inline) or externally using a config map. Source connectors apply transforms before converting data into a format supported by Kafka. Introduction to Strimzi: Apache Kafka on Kubernetes (KubeCon Europe Configuration defines how many replicas must be in-sync to be able to produce messages, ensuring that a message is committed only after it has been successfully copied to the replica partition. Transforms can also filter and route data. Strimzi automatically downloads and adds the plugin artifacts to a new container image. A topic comprises at least one partition. To rebalance the cluster, administrators must monitor the load on brokers and manually reassign busy partitions to brokers with spare capacity. The operations supported by the REST API are described in the Apache Kafka Connect API documentation. This guide is intended as a starting point for building an understanding of Strimzi. The disk capacity used by an existing Kafka cluster can be increased if supported by the infrastructure. IMPORTANT !! The Kafka Exporter is exporting the Prometheus metrics based on the committed consumer offsets from the __consumer_offsets topic. Specify type:jaeger to use OpenTracing and the Jaeger client to get trace data. If you dont want to use FIPS, you can disable it in the deployment configuration of the Cluster Operator using the. To manage connectors with KafkaConnector resources, you must specify an annotation in your KafkaConnect custom resource. You specify the configuration for workers in the config property of the KafkaConnect resource. You can override automatic renaming by adding IdentityReplicationPolicy to the source connector configuration. You can control the maximum number of tasks that can run in parallel by setting tasksMax in the connector configuration. The topologyKey is the name of the label assigned to Kubernetes worker nodes, which identifies the rack. In a microservices architecture, tracing tracks the progress of transactions between services. A deployment of Kafka components to a Kubernetes cluster using Strimzi is highly configurable through the application of custom resources. You can change the frequency by adding refresh.topics.interval.seconds to the source connector configuration. Location of the external data file. Distribution across workers permits highly scalable pipelines. MirrorMaker 2 is based on the Kafka Connect framework, connectors managing the transfer of data between clusters. Kafka topic that stores connector and task status configurations. If there are more tasks than workers, workers are assigned multiple tasks. Prometheus can extract metrics data from Kafka components and the Strimzi Operators. Partitions are replicated across topics for fault tolerance. Strimzi standalone topic operator not working - Openshift #2607 - GitHub You can create the image in two ways: Automatically using Kafka Connect configuration, Manually using a Dockerfile and a Kafka container image as a base image. Consumers can subscribe to source and remote topics within the same cluster, without the need for a separate aggregation cluster. The plugin matches the rack IDs of brokers and consumers, so that messages are consumed from the closest replica. Converter to transform message keys into JSON format for storage in Kafka. You add the connector configuration as a JSON object. HTTP internal and external client integration, Operators within the Strimzi architecture, Example architecture for the Cluster Operator, Example architecture for the Topic Operator, Figure 1. Trace data is useful for monitoring application performance and investigating issues with target systems and end-user applications. Depending on the configuration of the connector instance, workers might also apply transforms (also known as Single Message Transforms, or SMTs). A sample configuration file, alerting rules and Grafana dashboard for Kafka Exporter are provided with Strimzi. Replication across two clusters, Example showing manual addition of plugin configuration, Kafka components are contained in the same Kubernetes cluster, Example KafkaConnector source connector configuration, Example curl request to add connector configuration, 3.1. If you are using OAuth 2.0 for token-based authentication, you can configure listeners to use the authorization server. Managing Kafka with Strimzi: Part 1 | by Ken Wagatsuma - Medium It constructs a workload model of resource utilization for the clusterbased on CPU, disk, and network loadand generates optimization proposals (that you can approve or reject) for more balanced partition assignments. You can specify more than one address in case a server goes down. Use tasksMax to specify the maximum number of tasks. Strimzi Drain Cleaner annotates pods being evicted with a rolling update annotation. MirrorMaker takes messages from a source Kafka cluster and writes them to a target Kafka cluster. A Kafka Bridge configuration requires a bootstrap server specification for the Kafka cluster it connects to, as well as any encryption and authentication options required. Choosing the Right Kubernetes Operator for Apache Kafka A sample configuration file and Grafana dashboard for Cruise Control are provided with Strimzi. The underlying data stream-processing capabilities and component architecture of Kafka can deliver: Microservices and other applications to share data with extremely high throughput and low latency, Message rewind/replay from data storage to reconstruct an application state, Message compaction to remove old records when using a key-value log, Horizontal scalability in a cluster configuration, Replication of data to control fault tolerance, Retention of high volumes of data for immediate access. Unlike the Topic Operator, the User Operator does not sync any changes from the Kafka cluster with the Kubernetes resources. Cruise Control provides support for rebalancing of Kafka clusters, based on workload data. Strimzi requires block storage provisioned through StorageClass. The configuration describes the source input data and target output data to feed into and out of Kafka Connect. Kafka Connect translates and transforms external data. Each of the other Kafka components interact with the Kafka cluster to perform specific roles. Specialized connectors for MirrorMaker 2 manage data replication between source and target Kafka clusters. Applications can use either cluster. Single-message transforms change messages into a format suitable for the target destination. Workers run the tasks for the connector instances. JBOD allows you to use multiple disks to store commit logs in each broker. You can also create your own plugins. Strimzi assigns a rack ID to each Kafka broker. Must be unique for each Kafka Connect cluster. External data is translated and transformed into the appropriate format. In this way, you can make the same data available in different geographical locations. As a consequence, the Strimzi. For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. Labels question Sample metrics and alerting rules configuration files are provided with Strimzi. In this case, the external data system is another Kafka cluster. and are provided with Strimzi for each Kafka component used in a deployment, as well as users and topics. strimziio The guide introduces some of the key concepts behind Kafka, which is central to Strimzi, explaining briefly the purpose of Kafka components. Prometheus on GKE to monitor Strimzi Kafka - Stack Overflow The KafkaConnector resource offers a Kubernetes-native approach to management of connectors by the Cluster Operator. The operations supported by the REST API are described in the Apache Kafka Connect API documentation. Supported clients for the Kafka Bridge, Example YAML showing common configuration, Bidirectional replication (active/active), Unidirectional replication (active/passive), Example YAML showing MirrorMaker 2 configuration, Example YAML showing MirrorMaker configuration, Kafka Connect cluster configuration for workers, Example YAML showing Kafka Bridge configuration, 8.4. If KafkaConnectors are enabled, manual changes made directly using the Kafka Connect REST API are reverted by the Cluster Operator. The MirrorMaker 2 architecture supports bidirectional replication in an active/active cluster configuration. A Kafka Connect deployment can have one or more plugins, but only one version of each plugin. For example, through the User Operator you can create a user representing a client that requires access to the Kafka cluster, and specify tls as the authentication type. A distribution of Strimzi provides the files to deploy and manage a Kafka cluster, as well as example files for configuration and monitoring of your deployment. You request CPU and memory resources for components. Changing the replication factor after the topics have been created will have no effect. strimziio A Kafka cluster comprises multiple brokers. If you are using the User Operator to manage ACLs, ACL replication through the connector is not possible. The Cluster Operator manages Kafka Connect clusters deployed using the KafkaConnect resource and connectors created using the KafkaConnector resource. Internal clients are container-based HTTP clients running in the same Kubernetes cluster as the Kafka Bridge itself. Single-message transforms change messages into a format suitable for the target destination. The operations help with running a more balanced Kafka cluster that uses broker pods more efficiently. To manage connectors with KafkaConnector resources, you must specify an annotation in your KafkaConnect custom resource. Strimzi Overview - Apache Kafka on Kubernetes Plugins include connectors and other components, such as data converters and transforms. Install the latest version of Strimzi. OAuth 2.0 and OPA provide policy-based control from an authorization server. Each connector comprises one or more tasks that are distributed across the group of workers. If a topic is reconfigured or reassigned to other brokers, the KafkaTopic will always be up to date. When the user is created, the user credentials are created in a Secret. Kafka on Kubernetes: Using Strimzi Part 1 - Dev Genius A partition leader handles all producer requests for a topic. As the same topics are stored in each cluster, remote topics are automatically renamed by MirrorMaker 2 to represent the source cluster. All rights reserved. Extend the Kubernetes API with CustomResourceDefinitions. Kafka Connect translates and transforms external data. Kafka Connect uses connector instances to integrate with other systems to stream data. A __consumer_offsets topic stores information on committed offsets, the position of last and next offset, according to consumer group. Kafka on Kubernetes: Using Strimzi Part 6(Monitoring) A broker uses Apache ZooKeeper for storing configuration data and for cluster coordination. Configuration points are outlined, including options to secure and monitor Kafka. Each plugin must be configured with at least one artifact. If a worker fails, its tasks are automatically assigned to active workers in the Kafka Connect cluster. The User Operator manages user credentials for mTLS and SCRAM authentication, but not OAuth 2.0. You define the logging level for the component. You can override automatic renaming by adding IdentityReplicationPolicy to the source connector configuration. OperatorHub.io | The registry for Kubernetes Operators The Kafka cluster doesnt need to be managed by Strimzi or deployed to a Kubernetes cluster. Simple authorization uses AclAuthorizer, the default Kafka authorization plugin. Kafka resources must also be deployed or redeployed with metrics configuration to expose the metrics data. A sink connector extracts data out of Kafka. The following types of listener are supported: Internal listeners for access within Kubernetes, External listeners for access outside of Kubernetes. To set up MirrorMaker, a source and target (destination) Kafka cluster must be running. A kafka cluster comprises one or more brokers. After plugins have been added to the container image used for the worker pods in a deployment, Connector configuration as key-value pairs. For example, the connector might create fewer tasks if its not possible to split the source data into that many partitions. Additionally, you can specify a SHA-512 checksum to verify the artifact before unpacking it. CORS is a HTTP mechanism that allows browser access to selected resources from more than one origin, for example, resources on different domains. Strimzi provides operators for managing a Kafka cluster running within a Kubernetes cluster. I can get the metrics from the Strimzi Operator and if I create a service and another job for prometheus I can get the stats for the Kafka Exporter as well. Feature gates are set in the operator configuration and have three stages of maturity: alpha, beta, or General Availability (GA). monitoring - How to monitor apache kafka using nagios? - Stack Overflow After plugins have been added to the container image used for the worker pods in a deployment, Internal clients are container-based HTTP clients running in the same Kubernetes cluster as the Kafka Bridge itself. You can enable and disable some features of operators using feature gates. A broker, sometimes referred to as a server or node, orchestrates the storage and passing of messages. A sample configuration file, alerting rules and Grafana dashboard for Kafka Exporter are provided with Strimzi. The output properties describe the type and name of the image, and optionally the name of the secret containing the credentials needed to access the container registry. You can use MirrorMaker 2 in active/passive or active/active cluster configurations. A topic provides a destination for the storage of data. The sample alerting mechanism provided with Strimzi is configured to send notifications to a Slack channel. It also supports schemas for structuring data. Consumer groups are used to share a typically large data stream generated by multiple producers from a given topic. If possible, we will maintain the support for type: jaeger tracing until June 2023 and remove it afterwards. For example, the connector might create fewer tasks if its not possible to split the source data into that many partitions. A plugin provides the implementation artifacts for the sink connector, A single worker initiates the sink connector instance, The sink connector creates the tasks to stream data, Tasks run in parallel to poll Kafka and return records, Converters put the records into a format suitable for the external data system, The sink connector is managed using KafkaConnectors or the Kafka Connect API. The heartbeat connector periodically checks connectivity between the source and target cluster. In this situation, you might not want automatic renaming of remote topics. Trace data is useful for monitoring application performance and investigating issues with target systems and end-user applications. The key is used to identify the subject of the message, or a property of the message. Strimzi verifies the certificates for the components against the CA certificate. Must be unique for each Kafka Connect cluster. The OpenJDK used in Strimzi container images automatically enables FIPS mode when running on a FIPS-enabled Kubernetes cluster. You can also create your own plugins. Top Kafka UI Monitoring Tools | Towards Data Science You request CPU and memory resources for components. By implementing knowledge of Kafka operations in code, Kafka administration tasks are simplified and require less manual intervention. By specifying a unique name and port for each listener within a Kafka cluster, OAuth 2.0 and OPA provide policy-based control from an authorization server. Strimzi simplifies the process of running Apache Kafka in a Kubernetes cluster. Data transfer orchestrated by the Kafka Connect runtime is split into tasks that run in parallel. You can specify the authentication and authorization mechanism for the user. Example metrics configuration files are provided with Strimzi. You can deploy Kafka Connect with build configuration that automatically builds a container image with the connector plugins you require for your data connections. The methods provide JSON responses and HTTP response code error handling. This section describes some common management tasks you can do when using the REST API. A deployment of Grafana is required, with Prometheus added as a data source. Replication factor for the Kafka topic that stores connector offsets. A partition leader handles all producer requests for a topic. The Kafka Bridge supports the use of Cross-Origin Resource Sharing (CORS). Must be unique for each Kafka Connect cluster. Kafka Connect is an integration toolkit for streaming data between Kafka brokers and other systems using Connector plugins. Since Kafka Connect is intended to be run as a service, it also supports a REST API for managing connectors. For example, through the User Operator you can create a user representing a client that requires access to the Kafka cluster, and specify tls as the authentication type. Distributed tracing complements the gathering of metrics data by providing a facility for end-to-end tracking of messages through Strimzi. You can specify other tracing systems supported by OpenTelemetry, including Jaeger tracing. This KafkaTopic's 'spec.replicas' should be reverted to 1 and then the replication should be changed directly in Kafka. You can also specify the RackAwareReplicaSelector selector plugin to use with rack awareness. A distributed Kafka Connect cluster has a group ID and a set of internal configuration topics. Sample metrics and alerting rules configuration files are provided with Strimzi. A TLS CA (certificate authority) issues certificates to authenticate the identity of a component. Kafka Exporter is deployed with a Kafka cluster to extract additional Prometheus metrics data from Kafka brokers related to offsets, consumer groups, consumer lag, and topics. For example, a source connector with tasksMax: 2 might split the import of source data into two tasks. External clients are HTTP clients running outside the Kubernetes cluster in which the Kafka Bridge is deployed and running. MirrorMaker 2 also uses the Kafka Connect framework. Monitoring data allows you to monitor the performance and health of Strimzi. The User Operator allows you to declare a KafkaUser resource as part of your applications deployment. To use the plugin, consumers must also have rack awareness enabled. Build configuration properties for building a container image with plugins automatically. Kafka on Kubernetes: A Strimzi & GitOps Guide - Civo.com Extend the Kubernetes API with CustomResourceDefinitions. Noticed a behavior where in the memory graph is keep increasing from Grafana. If applied to a Kafka cluster, authorization is enabled for all listeners used for client connection. CRDs also allow Strimzi resources to benefit from native Kubernetes features like CLI accessibility and configuration validation. A simple request is a HTTP request that must have an allowed origin defined in its header. If you are using a Dockerfile to build an image, you can use Strimzis latest container image as a base image to add your plugin configuration file. Setting use-connector-resources to true enables KafkaConnectors to create, delete, and reconfigure connectors. A broker uses Apache ZooKeeper for storing configuration data and for cluster coordination. You might use the passive cluster for data recovery in the event of system failure. The Topic Operator and User Operator function within the Entity Operator on deployment. The Cluster Operator is also able to deploy a Kafka Connect cluster which connects to an existing Kafka cluster. Plugins allow connections to other systems and provide additional configuration to manipulate data. Operators are a method of packaging, deploying, and managing a Kubernetes application. kubectl apply -f strimzi-pod-monitor.yaml (changed namespace to kafka, since kafka is deployed in namespace kafka) kubectl apply -f prometheus-rules.yaml -n monitoring kubectl apply -f prometheus.yaml -n monitoring kubectl apply -f grafana.yaml - monitoring - created secret from file - prometheus-additional.yaml kubectl create secret generic . You specify converters for workers in the worker config in the KafkaConnect resource. You enable tracing by specifying a tracing type using the spec.tracing.type property: Specify type: opentelemetry to use OpenTelemetry. The expectation is that producers and consumers connect to active clusters only. Strimzi provides a way to run an Apache Kafka cluster on Kubernetes in various deployment configurations. In this article, we'll pick from the extensive list of available Kubernetes operators to examine Koperator, Strimzi, and Confluent for Kafka. strimzi-kafka-operator/strimzi-pod-monitor.yaml at main - GitHub External clients are HTTP clients running outside the Kubernetes cluster in which the Kafka Bridge is deployed and running. If use-connector-resources is enabled in your KafkaConnect configuration, you must use the KafkaConnector resource to define and manage connectors. For source connectors, how the source data is partitioned is defined by the connector. The Jaeger clients are now retired and the OpenTracing project archived. Strimzi Drain Cleaner annotates pods being evicted with a rolling update annotation. Must be unique for each Kafka Connect cluster. Kafka topic that stores connector and task status updates. Part 1: Creating and Deploying a Strimzi Kafka Cluster on Kubernetes Part 2: Creating Producer and Consumer using Go and Scala and deploying on Kubernetes Part 3: Monitoring our Strimzi Kafka Cluster with Prometheus and Grafana Prometheus Observability is an important aspect in software engineering. The Topic Operator maintains information about each topic in a topic store, which is continually synchronized with updates from Kafka topics or Kubernetes KafkaTopic custom resources. In the Kafka brokers and topics diagram, we can see each numbered partition has a leader and two followers in replicated topics. Kafka Exporter extracts data for analysis as Prometheus metrics, primarily data relating to offsets, consumer groups, consumer lag and topics. Data is lost when the instance is restarted. You can enable TLS encryption for listeners, and configure authentication. Strimzi operates Kafka Connect in distributed mode, distributing data streaming tasks across one or more worker pods. Plugins provide a set of one or more JAR files that define a connector and task implementation for connecting to a given kind of data source. mTLS authentication (on listeners with TLS-enabled encryption). Racks represent data centers, or racks in data centers, or availability zones. Monitoring data allows you to monitor the performance and health of Strimzi. The Kafka Connect REST API is available as a service running on