How to deploy and manage Elastic on Microsoft Azure

Elastic® users can find, deploy, and manage elasticsearch® from within the Azure portal. This integration provides a simplified onboarding experience, all with the Azure portal and tooling you already know, so you can easily deploy Elastic without having to sign up for an external service or configure billing information.

In this blog post, you’ll learn how to create and manage elasticsearch on Azure, as well as how to automate the ingestion of Azure logs and metrics into Elastic.

3. Click on Add to begin creating an elasticsearch resource.

4. Enter the required resource details:

• Subscription: The Azure subscription that this marketplace purchase will reside under
• Resource group: A resource group is associated with the elasticsearch resource
• Resource name: The name of the elasticsearch resource
• Region: The region where elasticsearch will be deployed (Additional Azure regions will be added over time. Check out our documentation to learn more.)
• Version: The Elastic Stack version; defaults to the latest available version
• Size: The size of the elasticsearch resource (The default cluster size is 480GB of storage and 16GB of RAM. You can modify the size of the cluster after your resource has been created.)
• Pricing plan: elasticsearch employs pay-as-you-go pricing
• Price: The approximate price, which is based on the region and deployment size (editable after the resource has been created) (For a full price listing, see the Elastic Cloud pricing calculator.)

5. Configure logs and metrics. These flags enable automatic ingestion of Azure subscription activity logs and resource logs into your elasticsearch cluster.

6. Specify resource tags — similar to any other Azure resource.

7. Review your information and select Review + create. This will deploy elasticsearch.

Congratulations, you successfully deployed elasticsearch from the Azure portal! Give it a few minutes and you will see the elasticsearch resource overview page in the portal. You may also notice an Elastic subscription in your Azure account. elasticsearch resources will also show up on your consolidated Azure bill.

You can now explore all that Elastic has to offer for search, observability, security, and analytics use cases. To get started, click on Kibana from the elasticsearch overview page in Azure. Select your Azure account to follow through with single sign-on directly into Elastic.

From Elastic, you can follow the in-product guides to configure an integration, ingest your data, and begin exploring your data to get meaningful insights. You can also optimize your data ingestion process by taking advantage of Fleet. Simply navigate to Fleet in the left menu and then select Integrations to view the various types of data you can ingest.

The Elastic integration allows you to automate the ingestion of Azure logs and metrics into Elastic. There are two integration points:

2. Click on the checkboxes for subscription activity logs and/or resource logs.

3. Optionally, you can specify tag rules to include or exclude specific resources from log collection. By default, if no tag rule is specified, the logs from all supported resources will be ingested.

4. Select Save (or finish creating your resource). Log data will begin to appear in Elastic shortly afterward.

5. To view your log data, log in to Kibana, which you can access from the elasticsearch overview page in Azure. Once in Kibana, you can view the Discover tab to view the raw log data. The Dashboard tab displays a few out-of-the-box dashboards preconfigured for Azure data.

Note that log collection from this integration is dependent on whether the Azure service is supported and the regions in which the Azure service is deployed. See our documentation for more details.

2. Select the virtual machine(s) you want to monitor and click Install Extension. This action will install the Elastic VM Extension on your virtual machine, which will deploy the Elastic Agent to collect system logs and metrics.

3. Once the extension is installed, logs and metrics will start flowing into Elastic. Under the View data column, you can find two quick links that will link you to Elastic so you can view your data:

• Logs: This will link you to the Logs Stream in Elastic so you can view and search your log data.
• Metrics: This will link you to a prefiltered dashboard that provides an overview of the health of your virtual machine.

4. You can further manage Elastic Agents, and the data they collect, directly within Elastic using Fleet.

Now that your platform logs and virtual machine data is in Elastic, explore what Elastic has to offer:

• Ingest additional data in your environment.
• Discover anomalous patterns in your data with anomaly detection.
• Consolidate your logs and metrics data with system traces for application performance monitoring.
• Protect your environment with threat detection and endpoint prevention using Elastic Security.
• Build a highly tailored, customized search experience using Elastic Search.

All of your Elastic usage will appear as a line item on your consolidated Microsoft invoice and will accrue toward your Azure spending commitment. You can explore your Elastic usage fees by region and deployment from the Elastic Cost Analysis page.

Support for this integration is provided by Elastic. We're here to help, and you can reach out to us from the Azure portal by clicking on New support request from the elasticsearch resource overview. This will bring you to the Elastic Cloud console, where you can create a support case for the Elastic Support team.

We ran through how to get started with elasticsearch on Azure and explored the native logs and metrics monitoring capabilities to give you an overview of this exciting integration. You can dive in by deploying from the Azure portal.

To learn more, check out our documentation. Have questions or feedback? Please reach out to us at azure-co-sell@elastic.co.

Learn how Elastic Observability monitors metrics for Microsoft Azure in just minutes.

Originally published May 25, 2021; updated February 1, 2024.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.