Your ElastiCache cluster is over-provisioned because your hit rate is too low. Add a 1.5µs L1 cache layer in front of it, absorb 99% of reads at the application tier, and downsize your cluster. No migration. No code rewrite. Lower bill, better latency.
ElastiCache is a good product. The pricing model is the problem. AWS charges you for node capacity, not for cache efficiency. That means you pay the same whether your hit rate is 60% or 99%. And most teams are closer to 60%.
The core issue is architectural: ElastiCache operates as a network-attached cache. Every read is a TCP round-trip (~1ms). That latency floor forces you to over-provision nodes to maintain throughput. See how Cachee compares across all dimensions in our full comparison matrix, or read the detailed ElastiCache vs Cachee breakdown.
Here is a concrete example. A typical production ElastiCache deployment and what happens when you add an L1 layer with a 99% hit rate.
| Line Item | ElastiCache Only | With Cachee L1 |
|---|---|---|
| Node Type | r6g.xlarge (26.32 GiB) | r6g.xlarge (26.32 GiB) |
| Node Count | 6 nodes | 2 nodes |
| ElastiCache Cost | $4,193/mo | $1,398/mo |
| Cachee Cost | $0 | Included (see pricing) |
| Hit Rate | ~65% | 99.05% (L1) |
| Read Latency (P50) | ~1ms | 1.5µs |
| Origin Load | 35% of reads hit origin | <1% of reads hit origin |
| Monthly Savings | — | $2,795/mo |
| Annual Savings | — | $33,540/yr |
These numbers are based on us-east-1 on-demand pricing for r6g.xlarge ($0.291/hr). Reserved instances lower the per-node cost, but the percentage savings from downsizing remain the same. Run the numbers against your own cluster in our benchmark tool.
Cachee deploys as an in-process L1 cache layer between your application and ElastiCache. It intercepts read requests, serves hot data at 1.5µs from application memory, and only forwards cold misses to your ElastiCache cluster. No proxy. No sidecar. No migration.
The key insight is that you are not replacing ElastiCache — you are reducing the work it has to do. When 99% of reads are absorbed by L1, your ElastiCache cluster goes from being a high-throughput bottleneck to a low-traffic durability layer. That is what makes the downsizing safe. For latency details, see our Redis latency reduction guide.
This is not a rip-and-replace. You keep everything that makes ElastiCache valuable. Cachee handles the part ElastiCache is bad at: hot read latency and hit rate optimization.
The result is a layered architecture: Cachee L1 for hot reads at microsecond latency, ElastiCache for durability, writes, and cold storage. You get the best of both worlds at a lower total cost. See how teams measure the improvement with hit rate optimization metrics.
The same L1 architecture works with every managed Redis provider and self-hosted deployments. If your application talks to a cache over the network, Cachee can sit in front of it and absorb hot reads at 1.5µs.
Regardless of your backend, the economics are the same: absorb hot reads at the application layer, reduce demand on the remote cache, and downsize accordingly. Compare providers side-by-side in our full comparison page.
The cheapest request is the one that never leaves your application process. Cachee L1 absorbs 99% of reads at 1.5µs. Your ElastiCache cluster shrinks. Your bill drops. Your latency improves.
Start with the free tier. No credit card required. Deploy in under 5 minutes and measure the difference on your own traffic.