We now do MirrorMaker! And it's great.
John Hammink
|RSS FeedDeveloper Advocate at Aiven
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At Aiven, we strive to give our customers reliable, convenient, and responsive data tools. Many customers already enjoy our managed Apache Kafka® solution along with Apache Kafka Connect® as a service. Now, we are happy to announce that we’re providing Apache Kafka MirrorMaker® 2.0 as a managed service.
MirrorMaker 2.0 is the most robust solution for data replication between Apache Kafka clusters. By deploying it as a stand-alone service, you can free your replication workloads from others — this means that you can better allocate cluster resources and scale your processing workloads.
In this post, we’ll discuss
MirrorMaker has been around for many years and is widely used. The Apache Kafka community has been aware of its downsides and limitations since, as well as the attempts to fix them with other replication tools. With version 2.4, MirrorMaker 2.0 (following KIP-382: MirrorMaker 2.0) was added to Apache Kafka.
Mirrormaker 2.0 is new and improved:
Aiven supports MirrorMaker 2 with the Console UI, Aiven command line client, and Aiven Terraform provider.
Note, though, that you need Aiven for Apache Kafka to run Aiven for MirrorMaker2; you can't use it with your self-hosted Apache Kafka setup.
To get the most out of your Aiven for MirrorMaker 2 cluster, we’re also providing access to a metrics integration with built-in dashboards to monitor a host of metrics related to replication, such as replication lag and replication latency.
The replication flow metrics run by MirrorMaker 2.0 are collected and visualized in Grafana.
Go to the Aiven Console, Terraform provider, REST API, or CLI and launch a MirrorMaker cluster. Then tie it to your source and target clusters through an integration workflow.
For more information about the finer points of setting up your first replication workflow, see this help article.
Aiven for Apache Kafka MirrorMaker 2.0 will allow Aiven users to seamlessly copy data between Apache Kafka clusters faster than ever! To get more information, go to our Aiven for Apache Kafka product page.
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