My side project hit $20/month on a managed Redis plan. For 1GB of cache. That's $240/year for what is essentially a hashmap with TTL.
I spent one afternoon migrating to Dragonfly on a free tier VM. Six weeks later: same p99 latency, zero cost, and the benchmark numbers are embarrassing for the paid option.
The benchmark that sold me
Same workload (80% GET / 20% SET, 1KB values), memtier_benchmark, 50 connections:
| Managed Redis (paid) | Dragonfly (free VM) | |
|---|---|---|
| Throughput | ~95K ops/sec | ~390K ops/sec |
| p50 latency | 0.8ms | 0.3ms |
| p99 latency | 4.1ms | 1.2ms |
| Memory efficiency | baseline | ~30% less for same data |
| Monthly cost | $20 | $0 |
Dragonfly is multi-threaded (Redis is famously single-threaded), so it actually uses all 4 cores of the free ARM VM instead of pinning one.
Migration: the boring part (good)
It's wire-compatible. My REDIS_URL changed from the managed endpoint to the VM's private IP. That was the entire application change:
docker run -d --name dragonfly \
--ulimit memlock=-1 \
-p 6379:6379 \
docker.dragonflydb.io/dragonflydb/dragonfly
Test with your existing client before switching DNS:
import redis
r = redis.Redis(host="10.0.0.15", port=6379)
r.set("migration-test", "works")
print(r.get("migration-test")) # b'works'
Every Redis command I used — GET, SET, EXPIRE, HGETALL, ZRANGEBYSCORE, pub/sub — behaved identically. I ran both in parallel for a week with dual-writes; zero divergence.
Six weeks in
- Cache hit rate: unchanged (92%)
- Incidents: 0
- Bill: $20 → $0/month
-
Ops effort: one
docker compose upafter a VM reboot, once
The one thing you give up: managed failover. If the VM dies, cache is cold until it restarts. For a cache, that's a non-event — my app falls back to the database and repopulates in ~40 seconds.
I drafted the dual-write validation script with MonkeyCode (free AI coding assistant): https://ly.cyberserval.tech/iIETXiF
What's the most embarrassing line item on your cloud bill right now — and is it actually just a hashmap?
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