Serverless
Elastic Cloud Serverless is a fully managed solution that allows you to deploy and use Elastic for your use cases without managing the underlying infrastructure. It represents a shift in how you interact with Elasticsearch - instead of managing clusters, nodes, data tiers, and scaling, you create serverless projects that are fully managed and automatically scaled by Elastic. This abstraction of infrastructure decisions allows you to focus solely on gaining value and insight from your data.
Elastic Cloud Serverless automatically provisions, manages, and scales your Elasticsearch resources based on your actual usage. Unlike traditional deployments where you need to predict and provision resources in advance, serverless adapts to your workload in real-time, ensuring optimal performance while eliminating the need for manual capacity planning.
Serverless projects use the core components of the Elastic Stack, such as Elasticsearch and Kibana, and are based on an architecture that decouples compute and storage. Search and indexing operations are separated, which offers high flexibility for scaling your workloads while ensuring a high level of performance.
Elastic provides three serverless solutions available on Elastic Cloud. Follow these guides to get started with your serverless project:
Afterwards, you can:
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. For example, when you have a short time spike on the data you ingest, more resources are allocated for that period of time. When the spike is over, the system uses less resources, without any action on your end.
Optimized data storage: Your data is stored in cost-efficient, general storage. A cache layer is available on top of the general storage for recent and frequently queried data that provides faster search speed. The size of the cache layer and the volume of data it holds depend on settings that you can configure for each project.
Dedicated experiences: All serverless solutions are built on the Elastic Search Platform and include the core capabilities of the Elastic Stack. They also each offer a distinct experience and specific capabilities that help you focus on your data, goals, and use cases.
Pay per usage: Each serverless project type includes product-specific and usage-based pricing.
Data and performance control. Control your project data and query performance against your project data.
Serverless projects run on cloud platforms, which may undergo changes in availability. When availability changes, Elastic makes sure to provide you with a current service status.
To learn more about serverless status, see Service status.
The following FAQ addresses common questions about using Elastic Cloud Serverless projects.
Q: Where can I learn about pricing for Serverless?
A: See pricing information for Elasticsearch Serverless, Observability, and Elastic Security Serverless.
Q: What Cloud regions does Elastic Cloud Serverless support?
A: Elastic Cloud Serverless is available in select AWS, GCP, and Azure regions, with plans to expand to more regions. For more information, refer to Regions.
Q: How can I move data to or from Serverless projects?
A: We are working on data migration tools. In the interim, use Logstash with Elasticsearch input and output plugins to move data to and from Serverless projects.
Q: Can I request backups or restores for my serverless projects?
A: Request for project backups or restores is currently unsupported, and we are working on data migration tools to better support this.
Q: How can I create Elastic Cloud Serverless service accounts?
A: Create API keys for service accounts in your Serverless projects. Options to automate the creation of API keys with tools such as Terraform will be available in the future.
Q: How does Elastic Cloud Serverless ensure compatibility between software versions?
A: Connections and configurations are unaffected by upgrades. To ensure compatibility between software versions, quality testing and API versioning are used.
Q: Can I convert a Elastic Cloud Serverless project into an Elastic Cloud Hosted deployment, or a hosted deployment into a Serverless project?
A: Projects and deployments are based on different architectures, so you are unable to convert.
Q: Can I convert a Serverless project into a project of a different type?
A: You are unable to convert projects into different project types, but you can create as many projects as youâd like. You will be charged only for your usage.
Q: How do I raise a support case for Elastic Cloud Serverless?
A: Raise a case for your subscription as you do today. In the body of the case, mention you are working with a Serverless project to ensure appropriate support.
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