Create an Alibaba Cloud Elasticsearch (ES) cluster in the console to power complex query engines and search-and-analysis workloads on massive datasets.
Billing
For pricing and billable items, see billing rules.
Procedure
This procedure uses the Alibaba Cloud Elasticsearch console. To create a cluster by API, call createInstance.
Log on to the Alibaba Cloud Elasticsearch console.
In the left navigation menu, choose Elasticsearch Clusters.
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On the Elasticsearch Clusters page, click Create in the upper-left corner.
Parameter
Description
Product Type
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Subscription: Lower rate than pay-as-you-go. Cost-effective for long-term use.
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Pay-as-you-go: Billed hourly. Release anytime to stop charges. Suited for development, testing, or evaluation.
Regions and Zones
Select a region. The region cannot be changed after creation.
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Choose a region close to your users to reduce latency.
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To communicate with other Alibaba Cloud services over an internal network, deploy them in the same region.
Number of zones
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1-AZ: Standard deployment for non-critical workloads.
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2-AZ: Cross-zone disaster recovery for production workloads.
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3-AZ (default): High-availability deployment for critical production workloads.
NoteZone selection is automatic. Deploy and use a multi-zone cluster.
Network Type
Only Virtual Private Cloud (VPC) is supported.
VPC
Select a VPC in the selected region:
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To communicate with other Alibaba Cloud services over the internal network, use the same VPC.
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If no suitable VPC exists, Create a VPC and a vSwitch first.
Virtual Switch
Only vSwitches in the same zone and VPC are listed.
If no suitable vSwitch exists, Create a VPC and a vSwitch first.Cluster Type
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Vector Enhanced Edition: 5x vector query performance and 75% memory savings through data quantization. Built-in AI model service for AI-powered search applications.
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Kernel-enhanced Edition: Deeply optimized AliES kernel based on the open-source version, with 10+ enhanced features.
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Standard Edition: 100% compatible with open-source Elasticsearch. Includes all advanced X-Pack features at no extra cost.
Features by version | Kernel-enhanced Edition feature overview.
Elasticsearch Version
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Vector Enhanced Edition: Supports versions 8.17 and 8.15.
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Kernel-enhanced Edition: Supports version 7.17.3.
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Standard Edition: Supports versions 9.3.2, 8.13.4, 8.9.1, 8.5.1, 7.7.1, 7.4.0, 6.8.23, 6.3.2, 5.6.16, and 5.5.3.
Compare editions in Version features comparison and Release Note.
NoteSupported regions and zones vary by cluster version. The purchase page shows available options.
Enhanced kernel features
Advanced enhanced features:
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AI Model Service: Required for versions 8.17 and 8.15.
NoteYou must manually activate the service. Activation is free, and usage is billed on a pay-as-you-go basis.
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FalconSeek Cloud-Native Kernel: Optional for Vector Enhanced Edition 8.17. Provides FalconSeek cloud-native kernel enhancements at no extra cost.
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Indexing Service: For high write TPS with large traffic fluctuations and low query QPS, such as log retrieval and time-series metric analysis.
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OpenStore (for log scenarios): For long-term storage of massive data with low query QPS and higher latency tolerance, such as log retrieval, metric analysis, and data archiving.
NoteWhen you enable Openstore intelligent hybrid storage, Indexing Service is also enabled.
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OpenStore (for high-performance search scenarios): For search workloads that require storage-compute separation for elastic scaling and cost optimization.
Supported features vary by version. Kernel-enhanced Edition feature overview.
Deployment Mode
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Basic control mode: This mode is enabled when you create a Standard Edition instance and select a specific Elasticsearch version (7.7.1 or 5.6.16).
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(Recommended) Cloud-native new control mode: Supports more instance types and versions than basic mode. Includes out-of-the-box AI and improved O&M efficiency (scaling, monitoring, alerting).
Initial Configuration Scenario
Select a scenario that matches your business type.
After creation, adjust the scenario configuration to optimize cluster and index settings. Modify a scenario-specific configuration template.Specifications
Click each node section to configure nodes.
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Plan node specs with Capacity assessment.
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Configure nodes per Node configurations for an Elasticsearch cluster.
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Click Reset to Default in the lower-right corner to restore defaults.
Resource Group
Organize and manage ES clusters by resource group. Resource groups and authorization.
Cluster Name
Optional. Auto-generated if left empty. Editable later on the basic information page.
Username
The default username
elasticcannot be changed. Use this superuser account to access the ES cluster and Kibana console.ImportantChanging the
elasticpassword takes effect immediately and disconnects all existing connections using this account. Hard-coded passwords in applications will cause service interruptions.Do not use
elasticin production applications. Instead, create scoped roles and users on the Kibana console. Manage user permissions with X-Pack roles.Password
Required. The password for the
elasticaccount.Subscription Duration
Available only for subscription billing.
Enable Auto-renewal to prevent service interruptions from expiration.-
For monthly subscriptions, the auto-renewal cycle is one month.
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For yearly subscriptions, the auto-renewal cycle is one year.
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Click Buy Now. On the Confirm Order page, verify the instance configuration and then click Activate.
NoteIn pay-as-you-go mode, the button text is Create Now.
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Return to the Elasticsearch Clusters page. In the top menu bar, select the region where you created the cluster to view it.
Initialization time varies by cluster specifications, data structure, and data size. Monitor the Status column for progress.
Next steps
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Best practices overview — migrate or ingest data.
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Manage user permissions with X-Pack roles — create scoped roles instead of using elastic in production.
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Modify a scenario-specific configuration template — tune cluster and index settings.
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Use index lifecycle management to manage Heartbeat data — automate hot-cold data separation with cold data nodes.
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Scale up a cluster | Scale down a cluster — adjust node specs or storage capacity.