Redis Performance Doctor automated Redis SRE
F1805 · an Elite AI Empire product

Your Redis is slow.
We'll tell you exactly why.

Redis Performance Doctor scans your instance for the silent killers — O(N) KEYS/SCAN sweeps, hot keys, multi-MB values, unbounded lists, and slowlog offenders — and hands you the precise rewrite for each one. We built it eliminating these across our own fleet; now it's a product.

See pricing — free scan to start Join the waitlist
# Point it at any reachable Redis. Read-only. No agent install. $ redis-doctor scan --url redis://prod:6379 ✗ HIGH keyspace 3 callsites issue KEYS user:* (O(N), 4.1M keys) → use SCAN + a secondary index ✗ HIGH bigkey cart:sessions is a 612 MB HASH → shard by user-bucket ⚠ MED hotkey flag:global = 38% of all GETs → client-side cache w/ TTL ⚠ MED slowlog SMEMBERS audience:all p99 = 240ms → SSCAN cursor pattern # 14 findings, est. 31% CPU reclaim. Full report + fixes →
Detect

The O(N) scan-killer hunt

Finds every KEYS, blocking SMEMBERS/HGETALL/LRANGE 0 -1, and unbounded scan in your code and your live command stream. These are the #1 cause of Redis latency cliffs — and they're invisible until the cluster stalls.

Advise

Keyspace index advisor

When you need a lookup that a KEYS pattern was faking, the Doctor proposes the secondary-index structure (sorted-set, set, or hash) to replace it — with the migration snippet. Turn O(N) into O(log N).

Profile

Hot-key & big-key detector

Samples your keyspace to surface the keys eating your memory and the keys eating your throughput. Multi-MB values, ever-growing lists, and the one key that 40% of your traffic hammers.

Triage

Slowlog & latency SRE

Parses SLOWLOG + LATENCY + INFO into a ranked action list: what's slow, how often, what it costs you, and the exact rewrite. Re-run weekly to catch regressions before customers do.

Built by operators, not a dashboard vendor. We run Redis under a high-frequency real-time workload across 40+ production apps. The SCAN-elimination methodology, the index advisor, and the slowlog triage rules are the exact toolkit we used to cut our own Redis CPU — now packaged as a clean engine you point at your cluster. It ships the linter and the index-builder; your key patterns and data never leave your network on the self-hosted scan.

Who it's for

Backend & platform teams running Redis in production who've hit a latency wall, an OOM, or a mystery CPU spike — and don't have a dedicated Redis SRE to find the root cause.

Why not just Datadog?

Datadog DBM graphs the problem. The Doctor names the offending command, the callsite, and the fix. It's a remediation tool, not a chart. See the comparison →

The pitch in one line

"One KEYS * in a hot path can take your cluster down. We find all of them, and tell you what to write instead."

Early-access waitlist

Public launch 2026. Early-access = founding pricing locked (20% off forever) + a free first scan of one production instance + priority onboarding.

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