Capacités et limitations pour Analytics avec Kafka Connect (EN)
Objective
This page provides the technical capabilities and limitations of the Public Cloud Analytics for Kafka Connect offer.
We continuously improve our offers. You can follow and submit ideas to add to our roadmap at https://github.com/orgs/ovh/projects/16/views/5.
Capabilities and limitations
Supported regions and multi-AZ
The Public Cloud Analytics offer is available in the following regions:
BHS(Beauharnois, Canada)DE(Frankfurt, Germany)GRA(Gravelines, France)SBG(Strasbourg, France)SGP(Singapore, Singapore)EU-WEST-PAR(Paris, France)EU-SOUTH-MIL(Milan, France)UK(London, United Kingdom)WAW(Warsaw, Poland)RBX(Roubaix, France)AP-SOUTH-MUM(Mumbai, India)
Nodes have to be in the same region.
Kafka Connect versions
The following Kafka Connect versions are supported:
- Kafka Connect 3.8
- Kafka Connect 3.9
Please refer to the Analytics lifecycle policy guide for recommendations on version upgrades and end of life announcements of major versions.
Plans
Three plans are available:
- Essential
- Business/Production
- Enterprise/Advanced
Here is an overview of the various plans' capabilities:
| Plan | Number of nodes | Additional nodes |
|---|---|---|
| Essential | 1 | No |
| Business/Production | 3 | No |
| Enterprise/Advanced | 6 | No |
Your choice of plan affects the number of nodes your cluster run or the SLA.
Nodes
- Essential: the cluster consists of one node.
- Business/Production: the cluster is delivered with 3 nodes.
- Enterprise/Advanced: the cluster is delivered with 6 nodes.
Hardware resources
For detailed information about node types and pricing, please refer to the Public Cloud pricing page.
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 analytics 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 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 analytics services first.
- When connecting from an outside subnet, the Openstack IP gateway must be enabled in the subnet used for the analytics 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 can not create private network services on a shared network.
Authorised IPs
Once your service is up and running, you will be able to specify IP addresses (or CIDR blocks) to authorise incoming traffic. Until then, your service will be unreachable.
Advanced parameters
You can further customise your Kafka Connect by using advanced parameters. See the Advanced parameters references documentation for more information on the supported parameters.
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 Public Cloud Database services. You could then view your Kafka Connect logs in Opensearch and metrics in Dashboards service (metrics have to be exported first in a time series compatible engine such as PostgreSQL). See the Cross Service Integration documentation for more information.
- Logs retention: 1000 lines of logs
- Metrics retention: 1 calendar month
Please note that if the cluster is deleted, logs and metrics are also automatically deleted.
We want your feedback!
We would love to help answer questions and appreciate any feedback you may have.
If you need training or technical assistance to implement our solutions, contact your sales representative or click on this link to get a quote and ask our Professional Services experts for a custom analysis of your project.
Are you on Discord? Connect to our channel at https://discord.gg/ovhcloud and interact directly with the team that builds our analytics service!