Yandex Cloud
Search
Discuss with expertTry it for free
  • Customer Stories
  • Documentation
  • Blog
  • All Services
    • Cloud Interconnect
    • Cloud Backup
    • Cloud Registry
    • Yandex AI Studio
    • Compute Cloud
    • Object Storage
    • Managed Service for Kubernetes®
    • Yandex BareMetal
    • Smart Web Security
    • Security Deck
    • Managed Service for PostgreSQL
    • Managed Service for ClickHouse®
    • Monium
    • Cloud CDN
    • Network Load Balancer
    • Virtual Private Cloud
    • Cloud DNS
    • Application Load Balancer
    • Yandex Cloud Video
    • Stackland
    • Yandex Cloud Router
    • Yandex Managed Service for Trino
    • Managed Service for MySQL®
    • Managed Service for Valkey™
    • Managed Service for Apache Spark™
    • Yandex StoreDoc
    • Managed Service for OpenSearch
    • Managed Service for Apache Kafka®
    • Data Transfer
    • Yandex MPP Analytics Engine for PostgreSQL
    • Yandex Managed Service for Apache Airflow®
    • Data Processing
    • Yandex MetaData Hub
    • Managed Service for YDB
    • Managed Service for Sharded PostgreSQL
    • Managed Service for YTsaurus
    • Yandex WebSQL
    • DataLens
    • Yandex Search API
    • SpeechSense
    • SpeechKit
    • DataSphere
    • Vision OCR
    • Translate
    • Yandex Identity Hub
    • Key Management Service
    • Certificate Manager
    • Yandex Lockbox
    • Audit Trails
    • SmartCaptcha
    • Cloud Desktop
    • Yandex SIEM
    • SourceCraft Code Assistant
    • Container Registry
    • Managed Service for GitLab
    • Managed Service for Prometheus®
    • Cloud Functions
    • API Gateway
    • Yandex Cloud Postbox
    • Message Queue
    • Serverless Integrations
    • IoT Core
    • Data Streams
    • Serverless Containers
    • Cloud Notification Service
    • Yandex Query
    • Identity and Access Management
    • Yandex Cloud Console
    • Resource Manager
    • Yandex Cloud Billing
    • Yandex Cloud Quota Manager
    • Cloud Apps
  • System Status
  • Marketplace
    • Featured
    • Infrastructure & Network
    • Data Platform
    • AI for business
    • Security
    • DevOps tools
    • Serverless
    • Monitoring & Resources
  • All Solutions
    • By industry
    • By use case
    • Economics and Pricing
    • Security
    • Technical Support
    • Start testing with double trial credits
    • Cloud credits to scale your IT product
    • Gateway to Russia
    • Cloud for Startups
    • Center for Technologies and Society
    • Yandex Cloud Partner program
    • Price calculator
    • Pricing plans
  • Customer Stories
  • Documentation
  • Blog
© 2026 Direct Cursus Technology L.L.C.
Yandex Managed Service for YDB
  • Getting started
    • Overview
    • Terms and definitions
    • Serverless and dedicated operation modes
    • Autoscaling
    • OLTP or OLAP operating modes
    • Transfer
    • DynamoDB tables
    • Quotas and limits
  • Access management
  • Monitoring metrics
  • Audit Trails events
  • FAQ
  • Public materials
  1. Concepts
  2. Autoscaling

Autoscaling

Written by
Yandex Cloud
Updated at June 8, 2026
View in Markdown

Note

Autoscaling is only available for the OLTP mode.

In dedicated mode in Managed Service for YDB, you can use autoscaling of computing resources.

Autoscaling adjusts the number of database nodes to accommodate load variations, allowing you to handle increased load and optimize your costs during low load periods. Yandex Managed Service for YDB does this via CPU utilization, i.e., CPU core utilization percentage across all computing pools.

To use autoscaling, you should select the target CPU utilization value averaged out across the database nodes, plus the minimum and maximum number of nodes. Yandex Managed Service for YDB will try to maintain CPU utilization at this level by adjusting the number of database nodes within these limits. Newly added nodes have identical configurations and are evenly distributed across availability zones.

Note

For reliable and stable performance, a database should have more than one node and maintain CPU utilization below 60%.

ExampleExample

Your database is deployed with six compute nodes, and you need to maintain CPU utilization at 50% under the fluctuating load. This allows the system to handle traffic spikes without allocating too many resources. To achieve this, autoscaling is configured the following way: target CPU utilization of 50%, with minimum number of nodes being three and maximum number, nine. With this configuration, the system will automatically scale up the number of compute nodes when CPU utilization exceeds 50% to handle higher loads. Conversely, when CPU utilization drops below 50%, the number of nodes will be scale down to optimize costs during periods of lower loads. At all times, the total number of nodes will remain between three and nine.

Was the article helpful?

Previous
Serverless and dedicated operation modes
Next
OLTP or OLAP operating modes
© 2026 Direct Cursus Technology L.L.C.