Kafka MirrorMaker - Capabilities and Limitations

This page provides the technical capabilities and limitations of the Managed Databases (also called Cloud Databases) for Kafka MirrorMaker offer.

We continuously improve our offers. You can follow and submit ideas to add to our roadmap.

Capabilities and limitations

Supported regions

To view Cloud Databases availability, please see our regions and availability webpage.

Entire database instances have to be in the same region.

Kafka versions

The Cloud Databases offer supports the following Kafka versions:

• Kafka MirrorMaker 3.7

You can follow Kafka Release Cycle on their official page.

Kafka clients

You can use any of the Kafka-recommended clients to access your cluster.

Additionally, Kafka Connect is available at OVHcloud.

Plans

Three plans are available:

• Essential
• Business
• Enterprise

Here is an overview of the various plans' capabilities:

Your choice of plan affects the number of nodes your cluster can run as well as the SLA.

Nodes

• Essential: the cluster is delivered with 1 node by default.
• Business: the cluster is delivered with 3 nodes by default.
• Enterprise: the cluster is delivered with 6 nodes by default.

License type

Kafka software is under the Apache 2 license, a liberal open-source license. More information can be found here.

Hardware resources

Here are the node types you can choose from:

Right now, all nodes of a given cluster should be of the same type and distributed in the same region.

Features

Network

Public as well as private networking (vRack) can be used for all the offers.

Ingress and Egress traffic are included in the service plans and unmetered.

The database service's IP address is subject to change periodically. Thus, it is advised not to rely on these IPs for any configuration, such as connection or egress policy. Instead, utilize the provided DNS record and implement CIDR-based egress policies for more robust and flexible network management.

Private network considerations

Here are some considerations to take into account when using a private network:

• Network ports are created in the private network of your choice. Thus, further operations on that network might be restricted - e.g. you won’t be able to delete the network if you didn’t stop the Cloud Databases services first.
• When connecting from an outside subnet, the OpenStack IP gateway must be enabled in the subnet used for the Database service. The customer is responsible for any other custom network setup.
• Subnet sizing should include considerations for service nodes, other co-located services within the same subnet, and an allocation of additional available IP addresses for maintenance purposes. Failure to adequately size subnets could result in operational challenges and the malfunctioning of services.
• OpenStack subnets routes announcement will not be applied to your services.
• You can only create private network services if you are the original owner of the network. You cannot create private network services on a shared network.

Authorized IPs

Once your service is up and running, you will be able to specify IP addresses (or CIDR blocks) to authorize incoming traffic. Until then, your service will be unreachable.

Kafka replication and data retention

You can select a Kafka source cluster and a Kafka destination cluster from the same Public Cloud project. External Kafka clusters are not supported so far.

You need at least two Kafka clusters to create replication flows.

Replication flows allowed parameters are:

• Source
• Target
• Topics
• Topics exclusion
• Sync group offset
• Sync interval in seconds (s)
• Heartbeats (true/false)

Data retention is only limited by your cluster storage space.

Advanced parameters

Though advanced parameters are supported for Kafka, they are not supported for Kafka MirrorMaker.

Backups

Kafka is a streaming tool. We don't back up Kafka data.

Logs and metrics

Logs and metrics are available through the Control Panel and the API. Additionally, cross-service integration can be configured to leverage your logs and metrics in other Cloud Database services. You could then view your Kafka MirrorMaker logs in OpenSearch and metrics in Grafana (metrics have to be exported first in a time series compatible engine such as PostgreSQL). See our Cloud Databases - Cross Service Integration guide for more information.

• Logs retention: 1000 lines of logs
• Metrics retention: 1 calendar month

Please note that if the database instance is deleted, logs and metrics are also automatically deleted.

Users and roles

The creation of users is allowed via the Control Panel and API.

You can specify a username for each user. By default, the role is admin.

Go further

For more information and tutorials, please see our other Managed Databases & Analytics or Platform as a Service guides. You can also explore the guides for other OVHcloud products and services.