- Welcome to Elastic serverless
- Elasticsearch
- Serverless differences
- Elasticsearch billing dimensions
- Get started
- Connect to your endpoint
- Client libraries
- Get started with the serverless Go client
- Get started with the serverless Java client
- Get started with the serverless .NET client
- Get started with the serverless Node.js client
- Get started with the serverless PHP client
- Get started with the serverless Python client
- Get started with the serverless Ruby client
- REST APIs
- Developer tools
- Ingest your data
- Search your data
- Explore your data
- Playground
- Elastic Observability
- Observability overview
- Quickstarts
- Observability billing dimensions
- Create an Observability project
- Log monitoring
- Inventory
- Application performance monitoring (APM)
- Get started with traces and APM
- Send APM data to Elastic
- View and analyze traces
- APM data types
- Distributed tracing
- Reduce your data usage
- Keep APM data secure
- Troubleshooting
- Reference
- Infrastructure monitoring
- Synthetic monitoring
- Get started
- Scripting browser monitors
- Configure lightweight monitors
- Manage monitors
- Work with params and secrets
- Analyze monitor data
- Monitor resources on private networks
- Use the CLI
- Configure a Synthetics project
- Multifactor Authentication for browser monitors
- Configure Synthetics settings
- Grant users access to secured resources
- Manage data retention
- Scale and architect a deployment
- Synthetics Encryption and Security
- Troubleshooting
- Dashboards
- Alerting
- SLOs
- Cases
- AIOps
- Data set quality monitoring
- AI Assistant
- Elastic Entity Model
- Limitations
- Elastic Security
- Elastic Security overview
- Security billing dimensions
- Create a Security project
- Elastic Security requirements
- Elastic Security UI
- AI for Security
- Ingest data
- Configure endpoint protection with Elastic Defend
- Manage Elastic Defend
- Endpoint response actions
- Secure cloud native resources
- Explore your data
- Dashboards
- Detection engine overview
- Rules
- Alerts
- Advanced Entity Analytics
- Investigation tools
- Asset management
- Manage settings
- Troubleshooting
- Dev tools
- Project and management settings
Elasticsearch billing dimensions
editElasticsearch billing dimensions
editElasticsearch is priced based on consumption of the underlying infrastructure that supports your use case, with the performance characteristics you need. Measurements are in Virtual Compute Units (VCUs). Each VCU represents a fraction of RAM, CPU, and local disk for caching.
The number of VCUs you need is determined by:
- Volume and ingestion rate of your data
- Data retention requirements
- Search query volume
- Search Power setting
- Machine learning usage
VCU types: Search, Indexing, and ML
editElasticsearch uses three VCU types:
- Indexing: The VCUs used to index incoming documents.
- Search: The VCUs used to return search results, with the latency and queries per second (QPS) you require.
- Machine learning: The VCUs used to perform inference, NLP tasks, and other ML activities.
Data storage and billing
editElasticsearch Serverless projects store data in the Search AI Lake. You are charged per GB of stored data at rest. Note that if you perform operations at ingest such as vectorization or enrichment, the size of your stored data will differ from the size of the original source data.
Managing Elasticsearch costs
editYou can control costs by using a lower Search Power setting or reducing the amount of retained data.
- Search Power setting: Search Power controls the speed of searches against your data. With Search Power, you can improve search performance by adding more resources for querying, or you can reduce provisioned resources to cut costs.
- Time series data retention: By limiting the number of days of time series data that are available for caching, you can reduce the number of search VCUs required.
For detailed Elasticsearch Serverless project rates, see the Elasticsearch Serverless pricing page.
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