Skip to content

What is the iVedha Managed Elasticsearch Platform?

The iVedha Managed Elasticsearch Platform is an Azure Managed Application that deploys Elasticsearch and Kibana with supporting Azure infrastructure in your Azure subscription.

It is intended for teams that want to use Elasticsearch for search, observability, or analytics without designing the underlying Azure platform from the beginning.

iVedha provides and supports the managed service. Opsflw supplies deployment and lifecycle automation. Elasticsearch and Kibana are Elastic technologies deployed in the customer's Azure subscription.

What you receive

A deployment can include:

  • Elasticsearch for indexing, search, and analytics;
  • Kibana for data exploration, visualization, and administration;
  • Azure networking and private connectivity;
  • managed identities, Key Vault, storage, and operational logging;
  • deployment lifecycle and maintenance automation.

The exact resources, topology, capacity, endpoints, and licensed features depend on the plan and options shown in your approved Marketplace offer.

The platform is AI-ready, not AI-by-default. Review what AI-ready means before selecting an AI, vector search, inference, or machine-learning use case.

How Azure manages the application

Azure represents the service as a managed application. The application resource is in a resource group that you control. Supporting resources are placed in a managed resource group. Access to that group is governed by the managed application definition and may be restricted.

Do not change resources in the managed resource group unless the application explicitly exposes the action. Uncoordinated changes can be denied or can prevent iVedha from supporting the deployment.

Start safely

  1. Review the shared-responsibility model.
  2. Confirm Marketplace prerequisites.
  3. Complete the deployment planning worksheet.
  4. Follow the deployment guide.

For the Azure platform model, see Azure Managed Applications overview.