Elastic Cloud Serverless

Serverless projects use the core components of the Elastic Stack, such as Elasticsearch and Kibana, and are based on Elastic’s Search AI Lake architecture that decouples compute and storage. Search and indexing operations are separated, which offers flexibility for scaling your workloads while ensuring a high level of performance.

Enjoy the following benefits with Elasticsearch Serverless:

• Management free. Elastic manages the underlying Elastic cluster, so you can focus on your data. With serverless projects, Elastic is responsible for automatic upgrades, data backups, and business continuity.
• Autoscaled. To meet your performance requirements, the system automatically adjusts to your workloads.
• Optimized data storage. Your data is stored in the Search Lake of your project, which serves as a cost-efficient and performant storage. A high performance layer is available on top of the Search Lake for your most queried data.
• Pay for the performance you need. Pay for ingest, search, and ML resources separately as needed by the workloads you run.

Elastic Cloud is a powerful platform that accommodates many computing needs. Serverless projects are purpose built for use cases while providing a fully managed autoscaled experience. This specialization and operational model is what sets serverless apart today.

Elasticsearch Serverless is currently available on select Cloud provider regions, with some features yet to come in the future. We are fully invested in expanding our serverless offering to more regions and cloud providers. We recommend checking the documentation for technical compatibility such as security, compliance, and availability.

It's simple to get started on Elasticsearch Serverless:

1. Create Elasticsearch Serverless projects in the Cloud Console
2. Choose the use case-optimized project type that is most fitting for your needs
3. Get started with your use-case optimized project experience

We recommend sending data directly from your application or using Connector clients. For sending data in an existing Elasticsearch instance, we recommend using Logstash to migrate large volumes.

Search Power settings allow you to manage the compute resources to optimize search performance (throughput and latency) and manage costs. There are three Search Power settings for Elasticsearch Serverless projects. The Performant setting is on by default, and provides  performant search experience for data of all sizes. It is possible to choose any one of the following settings:

On-demand: Autoscales based on data and search load with a lower minimum baseline for resource use. This flexibility results in more variable query latency and reduced maximum throughput.

Performant: Delivers consistently low latency and will autoscale to accommodate moderately high query throughput

High-throughput: Optimized for high-throughput scenarios, autoscaling to maintain query latency even at very high query volumes

In Elasticsearch Serverless, you pay for the resources used to handle your workloads and performance needs. We have a few examples to give you an idea about what you could pay, and how to think about costs.

Example 1 - Dev environment with 2GB searchable data, 1% ingest utilization (15 minutes per day), 8% search utilization (2 hours per day)

• On-demand: $24/month
• Performant: $27/month

Example 2 - Prod environment with 20GB searchable data, 5% ingest utilization (1 hour per day), 33% search utilization (8 hours per day)

• On-demand: $190/month
• Performant: $210/month

*The pricing estimates provided in the examples are for illustrative purposes only. Actual costs may vary based on factors such as data type, query complexity, traffic patterns, usage duration, and specific configurations. These estimates are intended to help you understand potential pricing scenarios but should not be relied upon as a final cost. For precise cost calculations, we recommend monitoring your usage.