BetterDB
OSS Valkey/Redis monitoring with historical data
Details
- External ID
- 46731531
- Source
- HN
- Company
- —
- Product
- —
- Website domain
- —
- Launched
- Jan. 23, 2026
- Cohort
- —
- Upvotes
- 6
- Upvotes percentile
- 0.2549407114624506
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
Hey HN,I'm Kristiyan, former Engineering Manager for Redis' Visual Developer Tools (including Redis Insight). I built BetterDB because Valkey is growing fast but lacks proper observability tooling.BetterDB is a monitoring platform for Valkey (and Redis) that focuses on what existing tools miss:Historical persistence – Slowlog entries disappear when the buffer fills. BetterDB persists them so you can see what queries were running at 3am, which clients were connected, and what anomalies were detected — not just current state.Pattern analysis – Stop scrolling through raw slowlog entries. BetterDB aggregates them and shows you "HGETALL user:* is 80% of your slow queries" — actionable insights, not raw data.COMMANDLOG support – Valkey 8.1 introduced COMMANDLOG for tracking large requests/replies, not just slow ones. That 50MB MSET that's killing your network? Now you'll see it. BetterDB is the first monitoring tool to support it.Anomaly detection – Automatic baseline learning with Z-score analysis across 15+ metrics. Know when something's off before your users do.Prometheus-native – 99 metrics exposed at /prometheus/metrics. No new dashboards to learn — plug into your existing Grafana/Datadog setup and get Valkey-specific data you can't get elsewhere.Cluster-aware – Automatic node discovery, topology visualization, per-slot metrics, and aggregated slowlogs across all nodes.ACL audit trail – Track who accessed what, when. ACL denied events by reason and user, persisted for compliance and debugging.Memory & Latency Doctor – Built-in diagnostics that tell you what's wrong, not just that something is wrong.The core is MIT licensed. Pro features (key analytics, AI assistant) live in a separate proprietary/ directory under a source-available license. During beta, use BETA-TEST to unlock everything free.Website: https://betterdb.comGitHub: https://github.com/BetterDB-inc/monitorRelease notes: https://github.com/BetterDB-inc/monitor/releasesDocs: https://docs.betterdb.comQuick start: docker pull betterdb/monitor:latest docker run -d -p 3001:3001 -e DB_HOST=your-valkey-host -e BETTERDB_LICENSE_KEY=BETA-TEST betterdb/monitor:latest All ideas are welcome and all feedback is important — don't be shy! Star the repo if this is useful, open issues for bugs or feature requests, or just drop a comment here. What pain points do you have with your current Valkey/Redis monitoring setup?
Enrichment
- Theme
- database infrastructure and developer tools
- Vertical
- Horizontal
- Function
- Observability & eval
- Audience
- B2B
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- redis monitoring with historical data
- Manually corrected
- False
Could you build this?
Partial The dashboard and basic Redis INFO command polling are vibe-codeable, but non-intrusive high-frequency metrics collection and command profiling across enterprise Valkey/Redis clusters require deep database systems expertise.
What it would actually take: A production-grade Valkey/Redis monitoring tool requires a low-overhead daemon (in Go or Rust) that polls `INFO`, parses the slowlog and latency monitor, and samples keyspaces without degrading sub-millisecond Redis latency. The backend requires a dedicated time-series database (e.g., VictoriaMetrics or TimescaleDB) to store high-resolution history without exploding memory. Deep domain knowledge of Redis internals (memory fragmentation, single-threaded event loop impact of monitoring commands) is required.
Discussion
1 comment analyzed.
Concerns raised: Periodic patterns not explicitly modeled (daily batch jobs, cache warming), Cardinality explosion risk with per-key metrics, Alert noise from bursty workloads
Feature requests: Configurable expected variance windows for scheduled events, Integration with deployment events for pattern detection, Better handling of periodic/scheduled workload patterns
Competitors
Other products that read as similar to this one — 90 launches clear the similarity bar, closest 8 shown.
Attention rank: #75 of 91 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 83 days after the earliest competitor.
- BetterDB, MIT Valkey-native context layer for AI agents · hn · 2026-06-26 · 5 upvotes · similarity 0.50
- An agent that tunes its own cache · hn · 2026-05-08 · 7 upvotes · similarity 0.49
- UnisonDB · hn · 2025-11-01 · 17 upvotes · similarity 0.42
- Linnix · hn · 2025-11-11 · 21 upvotes · similarity 0.42
- Tangent · hn · 2025-11-20 · 28 upvotes · similarity 0.41
- Telescope now queries Kubernetes logs directly · hn · 2026-02-16 · 9 upvotes · similarity 0.41
- SirixDB 1.0 Beta · hn · 2026-07-15 · 13 upvotes · similarity 0.41
- OpenObserve · ph · 2026-03-18 · 304 upvotes · similarity 0.40
Other launches for this product
- No other launches for this product.
Same idea, different domain
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