- Introducing Elasticsearch Service
- Adding data to Elasticsearch
- Migrating data
- Ingesting data from your application
- Ingest data with Node.js on Elasticsearch Service
- Ingest data with Python on Elasticsearch Service
- Ingest data from Beats to Elasticsearch Service with Logstash as a proxy
- Ingest data from a relational database into Elasticsearch Service
- Ingest logs from a Python application using Filebeat
- Ingest logs from a Node.js web application using Filebeat
- Configure Beats and Logstash with Cloud ID
- Best practices for managing your data
- Configure index management
- Enable cross-cluster search and cross-cluster replication
- Access other deployments of the same Elasticsearch Service organization
- Access deployments of another Elasticsearch Service organization
- Access deployments of an Elastic Cloud Enterprise environment
- Access clusters of a self-managed environment
- Enabling CCS/R between Elasticsearch Service and ECK
- Edit or remove a trusted environment
- Migrate the cross-cluster search deployment template
- Manage data from the command line
- Preparing a deployment for production
- Securing your deployment
- Monitoring your deployment
- Monitor with AutoOps
- Configure Stack monitoring alerts
- Access performance metrics
- Keep track of deployment activity
- Diagnose and resolve issues
- Diagnose unavailable nodes
- Why are my shards unavailable?
- Why is performance degrading over time?
- Is my cluster really highly available?
- How does high memory pressure affect performance?
- Why are my cluster response times suddenly so much worse?
- How do I resolve deployment health warnings?
- How do I resolve node bootlooping?
- Why did my node move to a different host?
- Snapshot and restore
- Managing your organization
- Your account and billing
- Billing Dimensions
- Billing models
- Using Elastic Consumption Units for billing
- Edit user account settings
- Monitor and analyze your account usage
- Check your subscription overview
- Add your billing details
- Choose a subscription level
- Check your billing history
- Update billing and operational contacts
- Stop charges for a deployment
- Billing FAQ
- Elasticsearch Service hardware
- Elasticsearch Service GCP instance configurations
- Elasticsearch Service GCP default provider instance configurations
- Elasticsearch Service AWS instance configurations
- Elasticsearch Service AWS default provider instance configurations
- Elasticsearch Service Azure instance configurations
- Elasticsearch Service Azure default provider instance configurations
- Change hardware for a specific resource
- Elasticsearch Service regions
- About Elasticsearch Service
- RESTful API
- Release notes
- Enhancements and bug fixes - March 2025
- Enhancements and bug fixes - February 2025
- Enhancements and bug fixes - January 2025
- Enhancements and bug fixes - December 2024
- Enhancements and bug fixes - November 2024
- Enhancements and bug fixes - Late October 2024
- Enhancements and bug fixes - Early October 2024
- Enhancements and bug fixes - September 2024
- Enhancements and bug fixes - Late August 2024
- Enhancements and bug fixes - Early August 2024
- Enhancements and bug fixes - July 2024
- Enhancements and bug fixes - Late June 2024
- Enhancements and bug fixes - Early June 2024
- Enhancements and bug fixes - Early May 2024
- Bring your own key, and more
- AWS region EU Central 2 (Zurich) now available
- GCP region Middle East West 1 (Tel Aviv) now available
- Enhancements and bug fixes - March 2024
- Enhancements and bug fixes - January 2024
- Enhancements and bug fixes
- Enhancements and bug fixes
- Enhancements and bug fixes
- Enhancements and bug fixes
- AWS region EU North 1 (Stockholm) now available
- GCP regions Asia Southeast 2 (Indonesia) and Europe West 9 (Paris)
- Enhancements and bug fixes
- Enhancements and bug fixes
- Bug fixes
- Enhancements and bug fixes
- Role-based access control, and more
- Newly released deployment templates for Integrations Server, Master, and Coordinating
- Enhancements and bug fixes
- Enhancements and bug fixes
- Enhancements and bug fixes
- Enhancements and bug fixes
- Enhancements and bug fixes
- Enhancements and bug fixes
- Enhancements and bug fixes
- Enhancements and bug fixes
- Enhancements and bug fixes
- Enhancements and bug fixes
- Cross environment search and replication, and more
- Enhancements and bug fixes
- Enhancements and bug fixes
- Azure region Canada Central (Toronto) now available
- Azure region Brazil South (São Paulo) now available
- Azure region South Africa North (Johannesburg) now available
- Azure region Central India (Pune) now available
- Enhancements and bug fixes
- Azure new virtual machine types available
- Billing Costs Analysis API, and more
- Organization and billing API updates, and more
- Integrations Server, and more
- Trust across organizations, and more
- Organizations, and more
- Elastic Consumption Units, and more
- AWS region Africa (Cape Town) available
- AWS region Europe (Milan) available
- AWS region Middle East (Bahrain) available
- Enhancements and bug fixes
- Enhancements and bug fixes
- GCP Private Link, and more
- Enhancements and bug fixes
- GCP region Asia Northeast 3 (Seoul) available
- Enhancements and bug fixes
- Enhancements and bug fixes
- Native Azure integration, and more
- Frozen data tier and more
- Enhancements and bug fixes
- Azure region Southcentral US (Texas) available
- Azure region East US (Virginia) available
- Custom endpoint aliases, and more
- Autoscaling, and more
- Cross-region and cross-provider support, warm and cold data tiers, and more
- Better feature usage tracking, new cost and usage analysis page, and more
- New features, enhancements, and bug fixes
- AWS region Asia Pacific (Hong Kong)
- Enterprise subscription self service, log in with Microsoft, bug fixes, and more
- SSO for Enterprise Search, support for more settings
- Azure region Australia East (New South Wales)
- New logging features, better GCP marketplace self service
- Azure region US Central (Iowa)
- AWS region Asia Pacific (Mumbai)
- Elastic solutions and Microsoft Azure Marketplace integration
- AWS region Pacific (Seoul)
- AWS region EU West 3 (Paris)
- Traffic management and improved network security
- AWS region Canada (Central)
- Enterprise Search
- New security setting, in-place configuration changes, new hardware support, and signup with Google
- Azure region France Central (Paris)
- Regions AWS US East 2 (Ohio) and Azure North Europe (Ireland)
- Our Elasticsearch Service API is generally available
- GCP regions Asia East 1 (Taiwan), Europe North 1 (Finland), and Europe West 4 (Netherlands)
- Azure region UK South (London)
- GCP region US East 1 (South Carolina)
- GCP regions Asia Southeast 1 (Singapore) and South America East 1 (Sao Paulo)
- Snapshot lifecycle management, index lifecycle management migration, and more
- Azure region Japan East (Tokyo)
- App Search
- GCP region Asia Pacific South 1 (Mumbai)
- GCP region North America Northeast 1 (Montreal)
- New Elastic Cloud home page and other improvements
- Azure regions US West 2 (Washington) and Southeast Asia (Singapore)
- GCP regions US East 4 (N. Virginia) and Europe West 2 (London)
- Better plugin and bundle support, improved pricing calculator, bug fixes, and more
- GCP region Asia Pacific Southeast 1 (Sydney)
- Elasticsearch Service on Microsoft Azure
- Cross-cluster search, OIDC and Kerberos authentication
- AWS region EU (London)
- GCP region Asia Pacific Northeast 1 (Tokyo)
- Usability improvements and Kibana bug fix
- GCS support and private subscription
- Elastic Stack 6.8 and 7.1
- ILM and hot-warm architecture
- Elasticsearch keystore and more
- Trial capacity and more
- APM Servers and more
- Snapshot retention period and more
- Improvements and snapshot intervals
- SAML and multi-factor authentication
- Next generation of Elasticsearch Service
- Branding update
- Minor Console updates
- New Cloud Console and bug fixes
- What’s new with the Elastic Stack
Configure Beats and Logstash with Cloud ID
editConfigure Beats and Logstash with Cloud ID
editThe Cloud ID reduces the number of steps required to start sending data from Beats or Logstash to your hosted Elasticsearch cluster on Elasticsearch Service. Because we made it easier to send data, you can start exploring visualizations in Kibana on Elasticsearch Service that much more quickly.

The Cloud ID works by assigning a unique ID to your hosted Elasticsearch cluster on Elasticsearch Service. All deployments automatically get a Cloud ID.
You include your Cloud ID along with your Elasticsearch Service user credentials (defined in cloud.auth
) when you run Beats or Logstash locally, and then let Elasticsearch Service handle all of the remaining connection details to send the data to your hosted cluster on Elasticsearch Service safely and securely.

What are Beats and Logstash?
editNot sure why you need Beats or Logstash? Here’s what they do:
- Beats is our open source platform for single-purpose data shippers. The purpose of Beats is to help you gather data from different sources and to centralize the data by shipping it to Elasticsearch. Beats install as lightweight agents and ship data from hundreds or thousands of machines to your hosted Elasticsearch cluster on Elasticsearch Service. If you want more processing muscle, Beats can also ship to Logstash for transformation and parsing before the data gets stored in Elasticsearch.
- Logstash is an open source, server-side data processing pipeline that ingests data from a multitude of sources simultaneously, transforms it, and then sends it to your favorite place where you stash things, here your hosted Elasticsearch cluster on Elasticsearch Service. Logstash supports a variety of inputs that pull in events from a multitude of common sources — logs, metrics, web applications, data stores, and various AWS services — all in continuous, streaming fashion.
Before you begin
editTo use the Cloud ID, you need:
- A deployment with an Elasticsearch cluster to send data to.
- Beats or Logstash, installed locally wherever you want to send data from.
-
To configure Beats or Logstash, you need:
- The unique Cloud ID for your deployment, available from the deployment overview page.
-
A user ID and password that has permission to send data to your cluster.
In our examples, we use the
elastic
superuser that every Elasticsearch cluster comes with. The password for theelastic
user is provided when you create a deployment (and can also be reset if you forget it). On a production system, you should adapt these examples by creating a user that can write to and access only the minimally required indices. For each Beat, review the specific feature and role table, similar to the one in Metricbeat documentation.
Configure Beats with your Cloud ID
editThe following example shows how you can send operational data from Metricbeat to Elasticsearch Service by using the Cloud ID. Any of the available Beats will work, but we had to pick one for this example.
For others, you can learn more about getting started with each Beat.
To get started with Metricbeat and Elasticsearch Service:
- Log in to the Elasticsearch Service Console.
-
Create a new deployment and copy down the password for the
elastic
user. - On the deployment overview page, copy down the Cloud ID.
- Set up the Beat of your choice, such as Metricbeat version 7.17.
-
Configure the Beat output to send to Elastic Cloud.
Make sure you replace the values for
cloud.id
andcloud.auth
with your own information. - Open Kibana and explore!
Metricbeat creates a data view (formerly index pattern) with defined fields, searches, visualizations, and dashboards that you can start exploring in Kibana. Look for information related to system metrics, such as CPU usage, utilization rates for memory and disk, and details for processes.