Dataristix® for Kubernetes
Dataristix for Kubernetes is the fully featured cloud version of Dataristix. Learn more about Dataristix.
Subscribe to Dataristix as a Kubernetes App in the Azure Marketplace, making deployment in the Azure cloud even easier. Manage one or more Dataristix instances in your Azure Kubernetes cluster!
Using a different cloud? Please contact us.
What to know
- Search for Dataristix in Azure Marketplace to subscribe. Dataristix may not be available in all Azure Marketplace markets. Please contact us if you cannot find it.
- When subscribing to Dataristix on Azure Marketplace, you can select workload requirements to set resource limits or, with the "Custom" option, omit setting limits. You may want to observe actual use and adjust limits for individual pods later for your specific set of dataflow tasks.
- The workload resource limits set (other than for "Custom") are CPU Requests and Memory Limits, which means that pods deployed into the cluster are burstable, but, as a result, may also be evicted when node CPU or memory pressure rises. Consider utilizing the node selector to deploy your Dataristix instance on a dedicated node or node pool with sufficient resources or also set CPU Limits and Memory Requests after determining your actual requirements to avoid evictions.
- Should the Dataristix Core pod be evicted or redeployed, then dataflow tasks that are marked as "Auto-Start" begin running again. Ensure that all tasks that are allowed to run without manual startup supervision are marked as "Auto-Start".
- Your Kubernetes cluster may update the Kubernetes runtime once per week or at your configured intervals, which may result in brief disruptions for dataflow tasks. Ensure that the timing of updates is acceptable or take steps to manually update Dataristix nodes.
- Deploy Dataristix on-premises to pre-process data and forward to your cloud instances via connectors for MQTT, Event Hubs, and others (or process data on-premises and store directly into your cloud database).
- If not using the default ingress and load balancer configuration, then please see additional information below.
Ingress and Load Balancer configuration
When deploying Dataristix from Azure Marketplace, then you have the option to configure ingress for the default web application routing ingress controller and create load balancers for TCP/IP traffic. If you are using a different ingress controller or prefer to configure ingress and load balancers manually, then you may need to map the following ports.
Ingress
| Module / Connector | Suggested External Ports | Target Port | Protocol | Purpose |
| Core Proxy | 80, 443 | 8383 | http | Dataristix Web Application access |
| Excel | 80, 443 | 22793 | http | Remote RTD links over WebSockets. Needs to be enabled in the connector configuration. Note that RTD links over TLS will not work unless the server certificate is trusted. |
Load Balancers
Load balancers pass TCP traffic through to the MQTT and OPC UA connectors if deployed.
| Module / Connector | Suggested External Ports | Target Port | Protocol | Purpose |
| MQTT | 1883 | 1883 | TCP | Insecure MQTT broker connections. Needs to be enabled in the connector's broker configuration. |
| MQTT | 8883 | 8883 | TCP | Secure MQTT broker connections. Needs to be enabled in the connector's broker configuration. |
| MQTT | 80 | 8083 | TCP | MQTT broker over WebSockets. Needs to be enabled in the connector's broker configuration. |
| MQTT | 443 | 8084 | TCP | MQTT broker over secure WebSockets. Needs to be enabled in the connector's broker configuration. |
| OPC UA | 7999 | 7999 | TCP | Reverse connector port for OPC UA. Needs to be enabled in the connector configuration. |
If you have any questions or feedback, then please do not hesitate to contact us!
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