Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more
Most companies who have adopted event streaming are running multiple Apache Kafka® environments. For example, they may use different Kafka clusters for testing vs. production or for different use cases. Self-managing multiple Kafka clusters, however, can pose a challenge to system administrators.
To help Kafka administrators, we introduced the Cluster Registry in Confluent Platform 6.0, through which you can centrally register Kafka clusters in the Confluent Platform Metadata Service (MDS). MDS manages important information, such as authorization data about Confluent Platform environments, as we will explain in more detail below.
Confluent Platform also comes packaged with Confluent Control Center to manage and monitor multiple Kafka clusters. Often the set of clusters managed by Control Center is the same as the set registered with Cluster Registry in MDS. Because Cluster Registry and Control Center are essentially storing the same information, this leads to the following drawbacks:
In Confluent Platform 6.0.1, we have added support in Control Center for reading the cluster information from Cluster Registry to avoid the above pitfalls.
Confluent Control Center is a web-based tool for managing and monitoring Apache Kafka as well as Confluent software components, such as Kafka connectors, Schema Registry, and ksqlDB. Control Center provides a user interface that allows developers and operators to get a quick overview of cluster health; to observe and control messages, topics, and Schema Registry; and to develop and run ksqlDB queries.
You can use Control Center to manage and monitor not just one but multiple Kafka clusters. To do so, each Kafka cluster must be specified in the Control Center configuration file. In the example below, we specify a cluster named lon-prod for our London production traffic:
confluent.controlcenter.kafka.lon-prod.bootstrap.servers=localhost:9192
The above cluster in turn will appear in Control Center UI as shown below:
Please refer to the documentation on multi-cluster configuration for details.
Prior to Confluent Platform 6.0.1, the aforementioned approach was the only option to configure multiple Kafka clusters for use with Confluent Control Center. In the following sections, we explain how the latest release makes multi-cluster management more convenient through the Cluster Registry.
Built on the top of Confluent Platform Metadata Service (MDS), Cluster Registry enables you to keep track of which clusters you have installed. For those who are not familiar with MDS, the Confluent Platform Metadata Service manages a variety of metadata about your Confluent Platform installation. Specifically, the MDS:
A prerequisite for using Cluster Registry is enabling RBAC first. RBAC, aka Role-Based Access Control, is a method for controlling system access based on roles assigned to users within an organization. RBAC leverages the Confluent Platform Metadata Service to configure and manage its implementation from a centralized configuration context.
You can use either curl commands or the Confluent Platform CLI to register clusters. When registering a Kafka cluster in the Cluster Registry, you must specify the following information:
To register a new Kafka cluster using the CLI:
confluent login --url <protocol>://<host>:<port>
confluent cluster register \ --cluster-name <exampleKafka> \ --kafka-cluster-id <kafka-ID> \ --hosts <10.6.6.6:9000,10.3.3.3:9003> \ --protocol SASL_PLAINTEXT
confluent cluster register \ --cluster-name <exampleConnect> \ --kafka-cluster-id <kafka-ID> \ --connect-cluster-id <connect-ID> \ --hosts <10.6.6.7:8443> \ --protocol HTTP
Note: Substitute the values in < > with your information
For a complete guide, please refer to the Cluster Registry documentation.
As mentioned in the introduction, in Confluent Platform 6.0.1, we added support in Control Center to read cluster information from Cluster Registry. This means that Control Center can use Cluster Registry as the primary source of cluster information over its configuration properties file.
The diagram below shows how Control Center discovers the cluster information when Cluster Registry is enabled and disabled.
To enable reading cluster information from Cluster Registry, you can follow these steps:
After performing #1 and #2, start Control Center or reboot if it’s already running. Once started, Control Center should read the cluster information from Cluster Registry.
A few things to note:
To make it easier to migrate cluster information from Control Center to Cluster Registry, we have added the scripts below to Confluent Platform.
You can use this script to export the existing cluster information from Control Center:
control-center-export --cluster control-center.properties --outfile exported-cluster-info.json
The exported data looks like this:
[ { "clusterName": "lon-prod", "scope": { "path": [], "clusters": { "kafka-cluster": "jRCEm14eR_SadwCWqhXV-w " } }, "hosts": [ { "host": "localhost", "port": 9193 } ], "protocol": "SASL_PLAINTEXT" } ]
This script provides a way to import or export data off Cluster Registry. Here is how you can import cluster information into Cluster Registry:
cluster-information-migration-script -i --url http://mds:8090 -f exported-cluster-info.json
To export cluster information from Cluster Registry, you would perform a similar action:
cluster-information-migration-script -e --url http://mds:8090 -f cluster-info-to-export.json
Control Center has always allowed you to update a Kafka cluster’s name via a UI as shown below.
This is true when Cluster Registry is enabled as well. Control Center can not only read the cluster information from Cluster Registry, but it also allows you to edit the cluster name. The change is persisted in Cluster Registry.
For example, if the user changed the name from lon.prod to say nyc.prod, the result of the confluent cluster list command would be this:
> confluent cluster list > Name | Type | Kafka ID | Component ID | Hosts | Protocol >+----------------+-----------------+-----------+--------------+------------------------------+----------------+ > nyc.prod | kafka-cluster | jRCEm14eR_SadwCWqhXV-w | | localhost:9192 | SASL_PLAINTEXT
In summary, we encourage you to take advantage of Cluster Registry as the source of cluster information for Control Center. This is just the first step. We expect to add more to the integration story in the future, so stay tuned.
If you haven’t already but would like to get started with Cluster Registry today, you can download the Confluent Platform.
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