Azure Elastic Search Made Easy with Native Experience

With Azure Elastic Search, you can easily integrate search functionality into your application, and with native experience, you can expect a seamless integration with Azure services.

You can use Azure Elastic Search to index and search large volumes of data, making it ideal for applications that require fast and accurate search results.

The native experience of Azure Elastic Search also provides features like data replication and failover, ensuring high availability and reliability.

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To get started with Elasticsearch on Azure, you'll need to log into the Azure Marketplace portal and locate Elasticsearch. Click on Get it now and then click on Create.

You'll need to set credentials in the Basic tab, which will allow you to access the solution's virtual machines (VMs). Your username should be a valid Ubuntu username.

You'll also need to select a subscription, resource group, and a location where the solution should be deployed.

Here's a step-by-step guide to help you get started:

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1. Log into the Azure Marketplace portal and locate Elasticsearch.

2. Set credentials in the Basic tab, including a valid Ubuntu username and password or SSH key.

3. Select a subscription, resource group, and location for deployment.

4. Click on the Cluster Settings tab and select your desired Elasticsearch version.

5. Name the cluster and click on the Kibana & Logstash tab to decide whether to deploy Kibana and/or Logstash alongside Elasticsearch.

By following these steps, you'll be well on your way to setting up an Elasticsearch cluster on Azure.

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With Azure Elastic Search, you can deploy Elastic resources directly from the Azure portal using the Microsoft.Elastic resource provider. This streamlined process makes it easy to get started.

One of the key benefits of Azure Elastic Search is its ability to track resource consumption and charges through the Azure billing system. This integration ensures that you're always aware of your costs.

To access Elastic services, you can use Azure AD credentials for single sign-on, eliminating the need for multiple logins. This centralized authentication also makes it easier to manage access and permissions.

Here are the key features and benefits of Azure Elastic Search:

The Elastic integration with Azure offers a range of technical capabilities that make it easy to get started. You can deploy Elastic resources directly from the Azure portal using the Microsoft.Elastic resource provider.

The integration also includes Azure billing integration, which allows you to track Elastic resource consumption and charges through the Azure billing system. This means you can keep a close eye on your costs without having to juggle multiple systems.

Azure Active Directory authentication is also supported, enabling single sign-on access to Elastic services using your Azure AD credentials. This streamlines the login process and reduces the risk of errors.

Log forwarding is another key feature, allowing you to route Azure subscription activity and resource logs to Elastic for indexing and analysis. This provides valuable insights into your system's performance and security.

Centralized management is also available, enabling you to configure and monitor log shipping from Azure services to Elastic through a unified interface. This simplifies the process of managing your logs and reduces the risk of errors.

You can choose between serverless projects for usage-based scaling and cloud-hosted projects for dedicated, managed clusters, giving you the flexibility to adapt to changing needs.

Elastic Agent deployment is also supported, allowing you to deploy and manage Elastic Agents on Azure virtual machines using integrated workflows. This streamlines the deployment process and reduces the risk of errors.

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If you're an Elastic customer on Azure, you might be missing out on some fantastic benefits if you subscribed to the standard marketplace offer before the native offering went live.

The good news is that Microsoft and Elastic teams are working together to migrate these customers to the Azure native service seamlessly.

Customers who started using Elastic on Azure before the native offering went live are missing out on deep integration capabilities that the native Elastic Cloud (Elasticsearch service) brings to the table.

This means you'll get the added integration benefits that come with the native service, which is a game-changer for your Elastic experience on Azure.

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To manage your Azure Elasticsearch cluster, you'll need to use the Azure Resource Manager (ARM) API. This API is an infrastructure-as-code tool that allows you to deploy resources as an infrastructure-as-a-service within the Azure environment.

The Elasticsearch template for ARM is provided by Elasticsearch, and it can build the necessary resources for your cluster. This template can also support incremental deployment, allowing you to update your resources without disrupting your workload.

With the ARM API, you can deploy and manage your Elasticsearch resources in a consistent and scalable way, all within the Azure resource group.

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Managing your Elasticsearch cluster on Azure requires some careful planning. You'll need to use Azure's Resource Manager API to deploy the necessary resources.

To get started, you'll need to create an ARM template provided by Elasticsearch. This template will help you build the resources required for your cluster, whether you're doing an incremental deployment or a full deployment.

The ARM template will deploy various types of nodes, including data nodes, master nodes, and coordinating nodes. Data nodes are virtual machines that perform search, aggregate, and other data-related operations, while master nodes are dedicated nodes that handle leadership and cluster management.

Here are the different types of nodes that can be deployed:

When deploying your cluster, you'll need to decide whether to use an existing virtual network (VNet) or create a new one. If you have existing networking resources in a resource group, it's best to deploy your cluster to an existing VNet so that it can access resources on the same network.

Elastic version selection is a crucial aspect of setting up your Elasticsearch cluster. Currently, the Elastic Cloud (Elasticsearch)—An Azure Native ISV Service automatically takes care of setting up Elastic with the right configuration and the latest cluster version.

However, some users might need to create new resources leveraging an older Elastic version to support compatibility with their overall technology architecture. This is where the flexibility to select the Elastic version comes in.

Customers can soon expect to have the option to choose the Elastic version from within the Azure portal experience. This will give them more control over their cluster configuration.

We're expanding our reach to bring you closer to the data you need. Azure and Elastic teams have been partnering to add more regions to support you.

With 16 Azure regions currently available, you can store and manage your data in a location that makes sense for your business. This includes four new regions: South Africa North, Central India, Brazil South, and Canada Central.

We're committed to growing our regional support to meet your needs. As of now, we support 16 Azure regions for the Elastic Cloud (Elasticsearch) – an Azure Native ISV Service.

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NetApp Cloud Volumes ONTAP is a leading enterprise-grade storage management solution that delivers secure, proven storage management services on various cloud platforms.

It supports a capacity of up to 368TB, making it a reliable choice for large-scale enterprise workloads.

Cloud Volumes ONTAP caters to various use cases such as file services, databases, DevOps, and more, with a strong set of features including high availability and data protection.

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This solution reduces storage footprint and costs by up to 70% through storage efficiency features like thin provisioning, data compression, and deduplication.

Cloud Volumes ONTAP supports advanced features for managing SAN storage in the cloud, making it suitable for NoSQL database systems and NFS shares accessible directly from cloud big data analytics clusters.

Its strong integration with Kubernetes enables seamless management and orchestration of cloud-native applications.

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We're constantly working to support all resource categories on Azure Monitor to ship logs to Elastic.

As of now, the Azure native service supports logs shipping from 126 resource types to flow to Elastic. This means you can get visibility into a wide range of resources, without having to manually enable each one.

Customers who have setup monitoring tag rules in an Azure subscription can automatically enroll new resource types and categories for logs shipping, without needing to make any changes. This is a big time-saver and makes it easier to get started with observability.

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The cost of Azure Elastic Search can be a bit tricky to pin down. Azure calculates the final cost on a case-by-case basis, depending on your specific deployment and chosen Azure region.

The cost depends on the VM types (SKU) used to deploy the cluster, so it's essential to consider the resources deployed by the template, including Elastic Stack Gold, Enterprise, and Platinum features.

You'll need to factor in the required licenses for these features, which can impact the overall cost.

For another approach, see: Azure Search Cost

Connecting to Elasticsearch in Azure is a straightforward process. To connect to the desired cluster, navigate to the virtual network that contains it, through an internal load balancer. This will round robin requests directly to data nodes, or to coordinating nodes, if these are deployed.

From outside Azure, you can access Elasticsearch through an external load balancer, configured using the External access tab in the Marketplace solution configuration.

You can also leverage the core setup of Elastic Cloud, which is an Azure Native ISV Service, to simplify the management of your Elastic deployments right from Azure.

To get started with Azure Elasticsearch, you can subscribe to the service through the Azure Marketplace online store or through the Azure portal. Search for it by name: ElasticCloud (Elasticsearch), Elastic Observability, or Elastic Security.

You can create an account in the marketplace portal of Azure by searching for Elasticsearch and clicking the "Create" option. Provide a username to access the virtual machine and choose a password or secure socket shell for authentication.

To deploy the solution, choose the resource group, subscription, and location where you want to deploy it. You can also use an existing virtual network if it's present in the resource group and you want to access the cluster resources on a similar network.

You'll need to deploy Kibana as an individual virtual machine with a distinct security group and public IP address. It can be accessed using ports 22 and 5601 over TCP.

Here are the eight mandatory tabs that need to be filled by the user: Elastic user account, Kibana user account, Logstash system account, beats account, APM system account, and remote monitoring account.

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