Depending on the configuration of the connector instance, workers might also apply transforms (also known as Single Message Transforms, or SMTs). Before running Apache Kafka, an Apache ZooKeeper cluster has to be ready. Schema enabled for converting message keys into structured JSON format. Source connectors apply transforms before converting data into a format supported by Kafka. Plugins contain the implementation required for workers to perform one or more transformations. Kafka Connect has some built-in transforms, but other transformations can be provided by plugins if necessary. KafkaConnector resources are configured to connect to external systems. Strimzi verifies the certificates for the components against the CA certificate. You can also specify the RackAwareReplicaSelector selector plugin to use with rack awareness. For a source connector, you might provide a database name in the configuration. Replication factor for the Kafka topic that stores connector offsets. Committed offsets are written to an offset commit log. The KafkaConnector resource offers a Kubernetes-native approach to management of connectors by the Cluster Operator. Kafka on Kubernetes: Using Strimzi Part 6: This is the final part of the series and it discusses the very important Kafka monitoring part. Kafkas capabilities make it suitable for: Event sourcing to capture changes to the state of an application as a log of events, Stream processing so that applications can respond to data in real time. Partitions are replicated across topics for fault tolerance. You can define whether a message send failure is ignored or MirrorMaker is terminated and recreated. JVM options provide maximum and minimum memory allocation to optimize the performance of the component according to the platform it is running on. For more information about Apache Kafka, see the Apache Kafka documentation. The file system format for storage must be XFS or EXT4. The plugins properties describe the type of artifact and the URL from which the artifact is downloaded. The configuration is stored in an internal Kafka topic used by Kafka Connect. 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. The configuration specifies how connector instances connect to an external data system, including any authentication. MirrorMaker 2 consists of the following connectors: The source connector replicates topics from a source cluster to a target cluster. CORS allows for simple and preflighted requests between origin sources on different domains. If multiple different Kafka Connect clusters are used, these settings must be unique for the workers of each Kafka Connect cluster created. A broker, sometimes referred to as a server or node, orchestrates the storage and passing of messages. Messages are written to partitions by a producer on a round robin basis, or to a specific partition based on the message key. Use the Quick Starts to get started now! Each cluster can provide the same data. Plugins for many external systems are available for use with Kafka Connect. To use Prometheus to obtain metrics data and provide alerts, Prometheus and the Prometheus Alertmanager plugin must be deployed. 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. Seek on a partition, so that a consumer starts receiving messages from the first or last offset position, or a given offset position. In this situation, you might not want automatic renaming of remote topics. 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. Strimzi Kafka + Kafka Exporter : consumer group not showing up in Source cluster configuration to consume data from the source cluster, Target cluster configuration to output data to the target cluster. Strimzi Overview. A simple request is a HTTP request that must have an allowed origin defined in its header. A connector operates with a specific type of external system. Kafka on Kubernetes: A Strimzi & GitOps Guide - Civo.com Workers are assigned one or more connector instances and tasks. A deployment of Kafka components to a Kubernetes cluster using Strimzi is highly configurable through the application of custom resources. Created, the Topic Operator creates the topic, Deleted, the Topic Operator deletes the topic, Changed, the Topic Operator updates the topic. Federal Information Processing Standards (FIPS) are a set of security standards established by the US government to ensure the confidentiality, integrity, and availability of sensitive data and information that is processed or transmitted by information systems. You can configure the resource using an annotation so that optimization proposals are approved automatically or manually. The Jaeger clients are now retired and the OpenTracing project archived. This allows you see all of them. A typical cluster can become unevenly loaded over time. Kafka Connect provides a framework for integrating Kafka with an external data source or target, such as a database, for import or export of data using connectors. The Kafka Bridge provides a RESTful interface that allows HTTP-based clients to interact with a Kafka cluster. For source connectors, how the source data is partitioned is defined by the connector. Kafka Connect provides a framework for integrating Kafka with an external data source or target, such as a database, for import or export of data using connectors. KafkaConnector resources are configured to connect to external systems. Kafka Connect clusters cannot share the group ID or topic names as it will create errors. Must be unique for each Kafka Connect cluster. 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. For a source connector, you might provide a database name in the configuration. The OpenJDK used in Strimzi container images automatically enables FIPS mode when running on a FIPS-enabled Kubernetes cluster. You can also use the KafkaConnect resource to specify the following: Plugin configuration to build a container image that includes the plugins to make connections, Configuration for the worker pods that belong to the Kafka Connect cluster, An annotation to enable use of the KafkaConnector resource to manage plugins. Cruise Control provides support for rebalancing of Kafka clusters, based on workload data. The connector might create fewer tasks than the maximum setting. For a source connector, external source data must reference specific topics that will store the messages. Tracing is not supported for Kafka brokers. MirrorMaker 2 consumes messages from a source Kafka cluster and writes them to a target Kafka cluster. Example YAML files are provided with the Strimzi distribution. A MirrorMaker 2 cluster is required at each target destination. Unlike the Topic Operator, the User Operator does not sync any changes from the Kafka cluster with the Kubernetes resources. Producers and consumers send and receive messages (publish and subscribe) through brokers. This guide is intended as a starting point for building an understanding of Strimzi. Each message in a given partition has a unique offset, which helps identify the position of a consumer within the partition to track the number of records that have been consumed. A sample configuration file, alerting rules and Grafana dashboard for Kafka Exporter are provided with Strimzi. Distributed tracing complements the monitoring of metrics in Grafana dashboards, as well as the component loggers. Listeners configure how clients connect to a Kafka cluster. You can add to a group of worker pods through configuration of the replicas property in the KafkaConnect resource. Data is lost when the instance is restarted. Distribution across workers permits highly scalable pipelines. Distributed tracing complements the gathering of metrics data by providing a facility for end-to-end tracking of messages through Strimzi. The Kafka Exporter is exporting the Prometheus metrics based on the committed consumer offsets from the __consumer_offsets topic. If you dont want to use FIPS, you can disable it in the deployment configuration of the Cluster Operator using the. Must be unique for each Kafka Connect cluster. Strimzi uses Secrets to store the certificates and private keys required for mTLS in PEM and PKCS #12 format. Metrics data is useful when investigating issues with connectivity and data delivery. Plugins allow connections to other systems and provide additional configuration to manipulate data. Converter to transform message values into JSON format for storage in Kafka. Cruise Control is an open source system that supports the following Kafka operations: Rebalancing a cluster based on predefined constraints. Operators are a method of packaging, deploying, and managing a Kubernetes application. Setting use-connector-resources to true enables KafkaConnectors to create, delete, and reconfigure connectors. A Kafka Connect cluster comprises a group of worker pods. Use Strimzis KafkaConnect resource to quickly and easily create new Kafka Connect clusters. You can use more than one MirrorMaker 2 instance to mirror data between any number of clusters. Offsets describe the position of messages within a partition. The User Operator allows you to declare a KafkaUser resource as part of your applications deployment. Monitoring data allows you to monitor the performance and health of Strimzi. Changing the replication factor after the topics have been created will have no effect. Managing Kafka with Strimzi: Part 1 | by Ken Wagatsuma - Medium You can use MirrorMaker 2 in active/passive or active/active cluster configurations. A sink connector extracts data out of Kafka. Consumers can subscribe to source and remote topics within the same cluster, without the need for a separate aggregation cluster. For example, a source connector with tasksMax: 2 might split the import of source data into two tasks. CRDs also allow Strimzi resources to benefit from native Kubernetes features like CLI accessibility and configuration validation. 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. A preflighted request sends an initial OPTIONS HTTP request before the actual request to check that the origin and the method are allowed. Strimzi Overview - Apache Kafka on Kubernetes The topics store connector configuration, offset, and status information. Plugins include connectors and other components, such as data converters and transforms. mTLS authentication (on listeners with TLS-enabled encryption). 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. Kafka Connect configuration for multiple instances, Creating a new container image automatically using Strimzi, Creating a Docker image from the Kafka Connect base image, Source and sink connector configuration options, Loading configuration values from external sources. The names of the connectors used by each Kafka Connect cluster must also be unique. Strimzi provides example configuration files, which can serve as a starting point when building your own Kafka component configuration for deployment. Security and metrics collection might also be adopted where applicable. Strimzi provides container images and Operators for running Kafka on Kubernetes. Kafka on Kubernetes: Using Strimzi Part 6(Monitoring) Each cluster replicates the data of the other cluster using the concept of source and remote topics. Custom authentication allows for any type of kafka-supported authentication. Kafka Connect can convert data to and from formats supported by Kafka, such as JSON or Avro. Install the latest version of Strimzi. Consumers are grouped using a group.id, allowing messages to be spread across the members. You can enable TLS encryption for listeners, and configure authentication. You configure and generate optimization proposals using a KafkaRebalance resource. Workers employ the connector configuration deployed to the Kafka Connect cluster. Created, the User Operator creates the user it describes, Deleted, the User Operator deletes the user it describes, Changed, the User Operator updates the user it describes. JVM options provide maximum and minimum memory allocation to optimize the performance of the component according to the platform it is running on. This should be at least 3 for a production environment. You can specify more than one address in case a server goes down. To view the API documentation, including example requests and responses, see Using the Strimzi Kafka Bridge. Simple authorization uses AclAuthorizer, the default Kafka authorization plugin. A broker, sometimes referred to as a server or node, orchestrates the storage and passing of messages. In this section we look at how Kafka components are configured through custom resources, starting with common configuration points and then important configuration considerations specific to components. If a user is added to a list of super users in a Kafka broker configuration, Lightbend has spent a lot of time working with Apache Kafka on Kubernetes. As consumer groups are active in both clusters, consumer offsets for replicated topics are not synchronized back to the source cluster. Deployment DevOps and CI/CD Maintenance Monitoring and . Grafana and Prometheus Setup With Strimzi, a.k.a. Kafka on - DZone The distributed approach to deploying Kafka Connect is fault tolerant and scalable. Racks represent data centers, or racks in data centers, or availability zones. Deploying an Apache Kafka cluster to a Kubernetes is not an easy task. Use any name that is valid for a Kubernetes resource. A MirrorMaker 2 cluster is required at each target destination. If applied to a Kafka cluster, authorization is enabled for all listeners used for client connection. Kafka Connect provides a set of standard transforms, but you can also create your own. You specify converters for workers in the worker config in the KafkaConnect resource. The expectation is that producers and consumers connect to active clusters only. You can expose the Kafka Connect API service outside Kubernetes. In addition to the MirrorMaker 2 connectors, Kafka provides two connectors as examples: FileStreamSourceConnector streams data from a file on the workers filesystem to Kafka, reading the input file and sending each line to a given Kafka topic. 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. You cannot have a single ingress distributing access. URLs are used to connect to the authorization server and verify that an operation requested by a client or user is allowed or denied. Setting use-connector-resources to true enables KafkaConnectors to create, delete, and reconfigure connectors. Each cluster can provide the same data. You enable tracing by specifying a tracing type using the spec.tracing.type property: Specify type: opentelemetry to use OpenTelemetry. Client applications, such as Kafka producers and consumers, can also be set up so that transactions are monitored. Strimzi supports Transport Layer Security (TLS), a protocol for encrypted communication. You do this by creating a service that uses a connection mechanism that provides the access, such as an ingress or route. Kafka topic that stores connector offsets. Sample metrics and alerting rules configuration files are provided with Strimzi. A cluster of Kafka brokers handles delivery of messages. You can create a custom Kafka Connect image that includes your choice of plugins. Noticed a behavior where in the memory graph is keep increasing from Grafana. Strimzi supports Kafka using Operators to deploy and manage the components and dependencies of Kafka to Kubernetes. An offset commit interval to set the time between consuming and committing a message. The Cluster Operator manages Kafka Connect clusters deployed using the KafkaConnect resource and connectors created using the KafkaConnector resource. Bootstrap servers are used for host/port connection to a Kafka cluster for: Kafka MirrorMaker producers and consumers. The Prometheus Alertmanager plugin handles alerts and routes them to a notification service. Kafka on Kubernetes. An in-sync replica has the same number of messages as the leader. Name of the KafkaConnector resource, which is used as the name of the connector. Partitions that handle large amounts of message traffic might not be evenly distributed across the available brokers. Since Kafka Connect is intended to be run as a service, it also supports a REST API for managing connectors. Support for type: jaeger tracing is deprecated. Each connector defines a schema for its configuration. Please migrate to OpenTelemetry as soon as possible. If enabled, it also synchronizes consumer group offsets between the source and target cluster. you can use Strimzis KafkaConnector custom resource or the Kafka Connect API to manage connector instances. Kafka Connect uses a plugin architecture to provide the implementation artifacts for connectors. Kafka Connect clusters cannot share the group ID or topic names as it will create errors. A Kafka Connect cluster contains a group of workers with the same group.id. Changing the replication factor after the topics have been created will have no effect. Strimzi Overview guide (In Development) A transform comprises a set of Java class files packaged in a JAR file for inclusion in a connector plugin. External clients are HTTP clients running outside the Kubernetes cluster in which the Kafka Bridge is deployed and running. Apache Kafka components are provided for deployment to Kubernetes with the Strimzi distribution. Consumer groups are used to share a typically large data stream generated by multiple producers from a given topic. By implementing knowledge of Kafka operations in code, Kafka administration tasks are simplified and require less manual intervention. Strimzi requires block storage provisioned through StorageClass. Internal listeners expose Kafka by specifying an internal type: internal to connect within the same Kubernetes cluster, cluster-ip to expose Kafka using per-broker ClusterIP services. The User Operator manages Kafka users for a Kafka cluster by watching for KafkaUser resources that describe Kafka users, Kafka Exporter extracts data for analysis as Prometheus metrics, primarily data relating to offsets, consumer groups, consumer lag and topics. A task is started using the configuration supplied by a connector instance. By default, when you deploy Strimzi a single Cluster Operator replica is deployed. The other system is typically an external data source or target, such as a database. You can add replicas with leader election so that additional Cluster Operators are on standby in case of disruption. The distributed approach to deploying Kafka Connect is fault tolerant and scalable. If you are using OAuth 2.0 for token-based authentication, you can configure listeners to use the authorization server. 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. An authorization server handles the granting of access and inquiries about access. You can enable and disable some features of operators using feature gates. By deploying the Strimzi Drain Cleaner, you can use the Cluster Operator to move Kafka pods instead of Kubernetes. A plugin provides the implementation artifacts for the source connector, A single worker initiates the source connector instance, The source connector creates the tasks to stream data, Tasks run in parallel to poll the external data system and return records, Transforms adjust the records, such as filtering or relabelling them, Converters put the records into a format suitable for Kafka, The source connector is managed using KafkaConnectors or the Kafka Connect API. Kafka Connect is an integration toolkit for streaming data between Kafka brokers and other systems using Connector plugins. Federal Information Processing Standards (FIPS), example files for configuration and monitoring of your deployment, load confidential configuration values for a connector, Apache Kafka configuration documentation for consumers, Apache Kafka configuration documentation for producers. Data is lost when the instance is restarted. In a microservices architecture, tracing tracks the progress of transactions between services. You can use more than one MirrorMaker 2 instance to mirror data between any number of clusters. A typical Kafka deployment is described, as well as the tools used to deploy and manage Kafka. spec: selector: matchLabels: strimzi.io/kind: cluster-operator namespaceSelector: matchNames: - myproject podMetricsEndpoints: - path: /metrics port: http --- apiVersion: monitoring.coreos.com/v1 kind: PodMonitor metadata: name: entity-operator-metrics labels: app: strimzi spec: selector: matchLabels: app.kubernetes.io/name: entity-operator For example, a transform might insert or rename a field. You define the logging level for the component. You supply the configuration to Kafka Connect to create a connector instance within Kafka Connect. You configure MirrorMaker 2 to define the Kafka Connect deployment, including the connection details of the source and target clusters, and then run a set of MirrorMaker 2 connectors to make the connection. The custom resources for Strimzi components have common configuration properties, which are defined under spec. A cluster of Kafka brokers handles delivery of messages. Listeners configure how clients connect to a Kafka cluster. Created, the Topic Operator creates the topic, Deleted, the Topic Operator deletes the topic, Changed, the Topic Operator updates the topic. A partition follower replicates the partition data of a partition leader, optionally handling consumer requests. You can use the Grafana dashboard provided to visualize the data collected by Prometheus from Kafka Exporter. A distributed Kafka Connect cluster has a group ID and a set of internal configuration topics. Internal listeners expose Kafka by specifying an internal type: internal to connect within the same Kubernetes cluster, cluster-ip to expose Kafka using per-broker ClusterIP services. Choosing the Right Kubernetes Operator for Apache Kafka Transforms adjust messages, such as filtering certain data, before they are converted. Configuration points are outlined, including options to secure and monitor Kafka. But from your comment I'm not sure if you understand how Kafka works. Strimzi, Strimzi Authors 2023 | Documentation distributed under CC-BY-4.0. It can provide more flexibility, but also adds complexity. Limits specify the maximum resources that can be consumed by a given container. You also need to state what data to watch. If a worker fails, its tasks are automatically assigned to active workers in the Kafka Connect cluster. The Cluster Operator deploys a corresponding Kafka cluster, based on what is declared in the Kafka resource. When you deploy Kafka Connect using the KafkaConnect resource, The ID identifies the cluster within Kafka. Kafka resources must also be deployed or redeployed with metrics configuration to expose the metrics data. Messages are delivered in batches, and batches and records contain headers and metadata that provide details that are useful for filtering and routing by clients, such as the timestamp and offset position for the record. Alertmanager issues alerts when conditions indicate potential problems, based on pre-defined alerting rules. Must be unique for each Kafka Connect cluster. So when some consumer connects to your Kafka cluster, consumes some messages and commits them, it will see them and show them in the metrics. Each cluster replicates the data of the other cluster using the concept of source and remote topics. ! Strimzi components are verified against the cluster CA CA, Kafka clients are verified against the clients CA CA. There are many additional configuration options that can be incorporated into a YAML definition, some common and some specific to a particular component. To create the container image automatically, you specify the plugins to add to your Kafka Connect cluster using the build property of the KafkaConnect resource. The operations supported by the REST API are described in the Apache Kafka Connect API documentation. for communication between Kafka clients and Kafka brokers, and inter-cluster communication. Additionally, you can specify a SHA-512 checksum to verify the artifact before unpacking it. 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. Connectors are plugins that provide the connection configuration needed. Grafana Labs provides dashboard visualizations of Prometheus metrics. Apache Kafka on Kubernetes with Strimzi - Sina Nourian . You can use MirrorMaker 2 in active/passive or active/active cluster configurations. By deploying the Strimzi Drain Cleaner, you can use the Cluster Operator to move Kafka pods instead of Kubernetes. Offsets describe the position of messages within a partition. The strimzi/kafka-connect:0.9. image is configured to automatically load all plugins or connectors that are present in the /opt/kafka/plugins directory during startup. The connector might create fewer tasks than the maximum setting. In this case, the external data system is another Kafka cluster. Clients can produce and consume messages without the requirement to use the native Kafka protocol. In the following example worker configuration, JSON converters are specified. In the Kafka brokers and topics diagram, we can see each numbered partition has a leader and two followers in replicated topics. You can specify the authentication and authorization mechanism for the user. Labels question Kafka Bridge provides an API for integrating HTTP-based clients with a Kafka cluster. The Kafka components are generally run as clusters for availability. There are many additional configuration options that can be incorporated into a YAML definition, some common and some specific to a particular component. The API has two main resources consumers and topics that are exposed and made accessible through endpoints to interact with consumers and producers in your Kafka cluster. Additional scrape configs for Prometheus metrics can not be parsed By default, a check for new topics in the source cluster is made every 10 minutes. 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. Kafka listeners use authentication to ensure a secure client connection to the Kafka cluster. An in-sync replica has the same number of messages as the leader. Custom resources are created as instances of APIs added by Custom resource definitions (CRDs) to extend Kubernetes resources. If you choose to use CORS, you can define a list of allowed resource origins and HTTP methods for interaction with the Kafka cluster through the Kafka Bridge. Strimzi automatically downloads and adds the plugin artifacts to a new container image. The Kafka Bridge provides a RESTful interface that allows HTTP-based clients to interact with a Kafka cluster. OAuth 2.0 authorization (if you are using OAuth 2.0 token-based authentication). Seek on a partition, so that a consumer starts receiving messages from the first or last offset position, or a given offset position. The Kafka Connect cluster ID within Kafka. Plugins allow connections to other systems and provide additional configuration to manipulate data.