In this article

Overview

You can deploy Snaplex instances in a Kubernetes environment. In this deployment, you host the resources, and the Snaplex type is a Groundplex, which you also administer, taking advantage of the orchestration that Kubernetes provides. This support extends to the Kubernetes Horizontal Pod Autoscaler (HPA) resources. 

This feature enables you to set up your Groundplex nodes in your Kubernetes environment with a Helm Chart that defines the node configuration for discoverability and the dynamic allocation of CPU resources, memory, and disk space. 

This article explains how you can deploy and configure SnapLogic Snaplex nodes in a Kubernetes environment and contains an attached Helm Chart zip file you can use.

This solution is distinct from the previous one supported in prior releases—the Helm Charts, methodology, and deployment steps are completely different.

Even though the previous solution is still supported, we recommend that you deploy your Groundplex nodes in Kubernetes using the Helm Charts in this article. To take advantage of Elastic Scaling on existing Groundplex nodes, you must redeploy them using the Helm Charts contained in this article.


Key Features

Summary of Implementation

Elastic Scaling is based on the Kubernetes Horizontal Pod Autoscaling, which operates on the ratio between the desired metric value and current metric value. The implementation requires the K8 Metrics Server and Prometheus adapters, both open source software common in Kubernetes. Grafana is an optional component that provides the dashboard monitoring for the scale up and scale down activities.

Workflow

  1. Org admin configures Groundplex nodes.
  2. Kubernetes Admin deploys Helm Chart.
  3. Groundplex node resources spin up and down depending on need.
  4. Org admin monitors Pipelines and Groundplex node resources through SnapLogic Dashboard.
  5. Kubernetes Admin monitors Elastic Scaling through analytics dashboard like Grafana.

Prerequisites

Support and Limitations

Known Issues

None