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
- AWS SERVERLESS — Related service
- AWS APPLICATION MODERNIZATION — Related service
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
- ElastiCache Processing Units (ECPUs) — Per-second metered units for compute, network, and operations
- Data stored — Per-GB-hour pricing for memory
- Min capacity — Optional floor in ECPUs to keep latency steady under burst
- Multi-AZ — Built in by default
When to use ElastiCache Serverless
- Unpredictable or bursty traffic — News, gaming, e-commerce flash sales
- Dev / staging environments that idle most of the time
- Multi-tenant SaaS where per-tenant load varies wildly
- Teams that lack the bandwidth to manage cluster sizing
When not to use it
- Very high steady-state load — Provisioned with reservation pricing is cheaper
- Latency under 0.5 ms required — Provisioned with VPC tuning is faster
- Need OS-level access to nodes — Serverless abstracts away the node layer
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.
Related AWS Services
- Amazon MemoryDB for Valkey — Durable in-memory alternative
- Amazon ElastiCache (provisioned) — Lower steady-state cost
- Amazon DynamoDB DAX — Cache layer dedicated to DynamoDB
Related FactualMinds Content
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