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AWS Glossary

Amazon ElastiCache Serverless

ElastiCache Serverless removes capacity planning for in-memory caching — automatic scaling, per-second pricing, and zero downtime sizing changes for Redis/Valkey and Memcached.

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Summary

ElastiCache Serverless removes capacity planning for in-memory caching — automatic scaling, per-second pricing, and zero downtime sizing changes for Redis/Valkey and Memcached.

Key Facts

  • ElastiCache Serverless removes capacity planning for in-memory caching — automatic scaling, per-second pricing, and zero downtime sizing changes for Redis/Valkey and Memcached
  • Definition Amazon ElastiCache Serverless is a serverless deployment option for ElastiCache that removes node sizing and cluster planning
  • ElastiCache Serverless supports Valkey, Redis OSS, and Memcached engines
  • Released in 2023 and broadly adopted in 2024–2026
  • Run a 30-day side-by-side to compare

Entity Definitions

DynamoDB
DynamoDB is an AWS service relevant to amazon elasticache serverless.
Amazon DynamoDB
Amazon DynamoDB is an AWS service relevant to amazon elasticache serverless.
VPC
VPC is an AWS service relevant to amazon elasticache serverless.
ElastiCache
ElastiCache is an AWS service relevant to amazon elasticache serverless.
Amazon ElastiCache
Amazon ElastiCache is an AWS service relevant to amazon elasticache serverless.
multi-tenant
multi-tenant is a cloud computing concept relevant to amazon elasticache serverless.
serverless
serverless is a cloud computing concept relevant to amazon elasticache serverless.

Related Content

Definition

Amazon ElastiCache Serverless is a serverless deployment option for ElastiCache that removes node sizing and cluster planning. Capacity scales automatically based on throughput, memory pressure, and latency targets. ElastiCache Serverless supports Valkey, Redis OSS, and Memcached engines. Released in 2023 and broadly adopted in 2024–2026.

Capacity model

When to use ElastiCache Serverless

When not to use it

Common mistakes

Mistake 1: Picking Serverless without baseline modeling. If load is steady, provisioned wins on cost. Run a 30-day side-by-side to compare.

Mistake 2: Forgetting the per-GB-hour memory floor. Even if you never read the cache, you pay for data sitting in memory. Set TTLs aggressively.

Mistake 3: Treating Serverless as a primary database. Use MemoryDB for durable in-memory storage.

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