Using K8s for Dynamic Deployments of Anzo Components
Anzo integrates with Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), and Azure Kubernetes Service (AKS) services to offer Kubernetes-based, dynamic deployments of AnzoGraph, Anzo Unstructured with Anzo Agent, Spark, and Elasticsearch.
The Kubernetes (K8s) integration automates the provisioning and deprovisioning of the resources and applications that support onboarding and accessing data in Anzo. In a K8s-based environment, Anzo users can activate pre-configured environments on-demand without needing specific technical, cloud platform, or infrastructure deployment skills. In addition, right-sized clusters are automatically created and deleted, avoiding the need to keep instances running indefinitely and reducing the overall cost of maintaining the applications.
The topics in this section provide an overview of K8s concepts, general requirements for integrating K8s with Anzo, and guidance on choosing the compute instances that are ideal for hosting the Anzo applications. This section also includes instructions on deploying and configuring all of the K8s infrastructure for each of the supported cloud service providers.