Intelligent Alerting That Doesn't Wake You Up at 3 AM
The average on-call engineer receives 500+ alerts per week. 95% are noise. ML-based deduplication groups related alerts from across your infrastructure into single actionable incidents — so when your phone rings, it actually matters.
Alert fatigue is an engineering retention problem
- 500+ alerts per week with 95% noise trains engineers to ignore alerts — including the ones that matter
- On-call burnout from false positives at 2 AM erodes team morale and accelerates attrition
- No severity routing means every alert goes to every channel — P3 gas spikes alongside P0 outages
- Manual silencing rules take hours to configure and expire at the wrong moment during planned maintenance
Fewer alerts, higher signal, better on-call experience
- ML deduplication groups correlated alerts from across all monitors into single, contextualized incidents
- Automatic severity routing sends P0 to phone and Telegram immediately, P3 to email digest at business hours
- Maintenance windows and smart silencing rules suppress expected alerts during planned downtime automatically
- P0 alerts auto-create incidents with full monitor context — no manual triage step between alert and response
Capabilities
Alerting that works with your team, not against it
ML deduplication, severity routing, and smart silencing — designed to restore trust in your alert stream.
Related alerts from across monitors are automatically grouped into single incidents using temporal and semantic correlation — drastically reducing notification volume without hiding real problems.
P0 goes to phone and Telegram in under 30 seconds. P1 goes to Slack. P3 goes to an email digest. Routing rules are configurable per team, per service, and per severity level.
Schedule maintenance windows to suppress expected alerts during planned downtime. Create silence rules based on monitor, chain, or alert type — all without touching config files.
P0 alerts automatically create incidents pre-populated with monitor context, affected chain, block height, and alert timeline — the triage step happens before your phone rings.
Each team member configures their own notification preferences: which channels to use, which severities to receive, and quiet hours for non-critical alerts.
Use Cases
Who benefits most from intelligent alerting
SRE team receiving 20 pages per night from correlated alerts
Each alert was individually valid, but they all traced back to a single upstream RPC failure. ML deduplication collapsed 20 alerts into 1 incident — and the team slept through the night.
Validator operator distinguishing slashing risk from routine restarts
Not every node restart is an emergency. Severity routing and ML context detection correctly classifies routine maintenance restarts as P3 while flagging genuine slashing risk as P0.
DeFi protocol needing P0 on oracle failures, P3 on gas spikes
Oracle failures block trades and require immediate response. Gas spikes are informational. Severity-based routing gives each signal the attention it deserves without polluting the P0 channel.
BlackTide vs dedicated alerting platforms
Enterprise alerting tools add complexity. BlackTide adds signal.
| Feature | BlackTide | PagerDuty | Opsgenie |
|---|---|---|---|
| ML-based alert deduplication | partial | ||
| Web3 / chain context in alerts | |||
| Severity-based multi-channel routing | |||
| Auto-incident creation from P0 | partial | ||
| Smart maintenance windows | |||
| Pricing for small teams | Affordable | Expensive | Moderate |
Frequently asked questions
Used by
Monitoring for DeFi Protocols
DeFi protocols run 24/7 across multiple chains — one stale oracle or one silent RPC failure is enough to drain liquidity or halt a protocol.
Monitoring for NFT Marketplaces and Platforms
A failed drop is a PR disaster — monitor gas prices, contract events, IPFS availability, and frontend health before the mint window opens.
Monitoring for DAOs and Onchain Governance
DAOs manage billions in treasury across dozens of chains — multisig approvals, governance executions, and treasury movements need real-time visibility.
Monitoring for Validators and Node Operators
Slashing is game over — institutional validators and RPC providers need monitoring that speaks blockchain, not just HTTP.
Sleep through the night. Wake up to fewer, better alerts.
ML-powered deduplication that understands your infrastructure.