autonomous
alerts

Static monitors fail when you need them most. Self-configuring alerts that learn your system and only escalate what matters.

SazabiAPP8:18 AM
150 msgs of down-time registered
SazabiAPP8:18 AM
Response time delayed
SazabiAPP8:18 AM
Deployed error
SazabiAPP8:19 AM
Memory usage spike on us-east-1
SazabiAPP8:20 AM
3 pods restarted in last 2 mins
SazabiAPP8:21 AM
Latency p99 above threshold
SazabiAPP8:22 AM
SSL cert expires in 12 hours
ALERTS

Zero setup required

Error spikes

Detects sudden jumps in error rates across services, correlates them with recent changes, and tells you exactly what broke.

Slow queries

Catches query performance degradation before it cascades. Pinpoints the table, the query, and the missing index.

Failed deploys

Monitors deployments end-to-end. When health checks fail, you get the root cause, not just a rollback notification.

Error spikes

Detects sudden jumps in error rates across services, correlates them with recent changes, and tells you exactly what broke.

Slow queries

Catches query performance degradation before it cascades. Pinpoints the table, the query, and the missing index.

Failed deploys

Monitors deployments end-to-end. When health checks fail, you get the root cause, not just a rollback notification.

Silent failures

Spots when things stop happening. No webhooks processed, no jobs running, no events flowing. Sazabi notices the silence.

Frustrated users

Correlates rage clicks, repeated submissions, and support tickets to surface UX issues before they become churn.

Runaway costs

Tracks cloud spend in real time and flags anomalous cost spikes, so a cache miss storm doesn’t become a billing surprise.

SazabiAPP9:18 AM

API: 500 Error Rate Spike

Severity: HighStatus: Open
Impact

Error rate jumped from 0.1% to 12% starting 8 min ago. ~340 users affected across checkout and profile endpoints.

Root cause

Correlated with deploy v2.4.1 pushed 12 min ago. New Redis connection pooling config suspected.

Recommended action

Roll back to v2.4.0 or increase Redis connection pool size from 10 to 50.

SazabiAPP10:42 AM

PostgreSQL: Query Latency Degradation

Severity: MediumStatus: Open
Impact

p99 latency increased from 45ms to 2.3s on orders table. Affecting checkout flow for ~120 active sessions over 15 min.

Root cause

Missing index on orders.customer_id. Sequential scan triggered by new filter added in PR #892.

Recommended action

Add index: CREATE INDEX CONCURRENTLY idx_orders_customer_id ON orders(customer_id)

SazabiAPP2:15 PM

Deploy Failed: payments-service v3.1.0

Severity: HighStatus: Resolved
Impact

Deployment rolled back after health checks failed. 3 of 8 instances returned HTTP 503 for 2 min. No customer impact.

Root cause

Missing env var STRIPE_WEBHOOK_SECRET in production config. Added in code but not in infra.

Recommended action

Add secret to AWS Secrets Manager and redeploy.

SazabiAPP11:03 AM

Payment Webhooks: Processing Stalled

Severity: HighStatus: Open
Impact

No webhooks processed in 23 min. 47 Stripe events pending. 12 customers awaiting order confirmation.

Root cause

SQS consumer Lambda hit concurrency limit. Dead letter queue receiving messages.

Recommended action

Increase Lambda reserved concurrency from 10 to 50. Replay DLQ messages.

SazabiAPP4:37 PM

Checkout: User Frustration Detected

Severity: MediumStatus: Open
Impact

14 users abandoned checkout in last 10 min after repeated submit attempts. Rage click pattern detected.

Root cause

Support ticket #4521 opened 3 min ago: "payment button does nothing." Submit handler silently failing due to null cartId.

Recommended action

Investigate CartContext hydration race condition in CheckoutForm.tsx:142.

SazabiAPP8:51 AM

AWS: Unusual S3 Egress Spike

Severity: MediumStatus: Open
Impact

Egress costs up 340% ($127/hr vs $28/hr baseline). Started 45 min ago. Projected daily overage: $2,376.

Root cause

CloudFront cache invalidation at 8:33 AM caused cache miss storm on media-prod bucket. All requests hitting origin.

Recommended action

Verify CloudFront cache is repopulating. Consider origin shield if pattern repeats.

Silent failures

Spots when things stop happening. No webhooks processed, no jobs running, no events flowing. Sazabi notices the silence.

Frustrated users

Correlates rage clicks, repeated submissions, and support tickets to surface UX issues before they become churn.

Runaway costs

Tracks cloud spend in real time and flags anomalous cost spikes, so a cache miss storm doesn’t become a billing surprise.

Memory

Smarter every day

Sazabi learns from every incident and deployment. The platform tracks what's normal, remembers how baselines shift, and surfaces relevant history when problems repeat.

Anomaly memory illustration

Learn from every outage

Every incident becomes institutional knowledge. Sazabi remembers what broke, what fixed it, and what signals appeared beforehand, building a history that makes future alerts smarter.

Your system, understood

Baselines adapt as your system evolves. Traffic patterns shift, new services launch, infrastructure scales. Sazabi learns what’s normal for you, not a static threshold someone set months ago.

Just the way you like it

Repeat incidents surface historical context automatically. See what caused it last time, how it was resolved, and whether the same warning signs preceded it, so you fix it faster.

Signals

Never miss
a thing

Every signal — commits, deploys, errors, tickets, chats — flows into one timeline. Sazabi correlates across sources so you see the complete picture, no tool-switching required.

Anomaly signals illustration

Commits and deploys

Every deploy is a potential incident trigger. Sazabi tracks code changes and correlates them with system behavior, so when something breaks post-deploy, you know exactly what shipped.

Internal conversations

Your team’s Slack discussions become context. When someone mentions an issue, Sazabi learns. When an alert fires, prior conversations surface, so you’re never starting from zero.

Support tickets

Customer reports aren’t noise. They’re signals. Sazabi correlates support tickets with system metrics to validate alerts and surface user-impacting issues before they escalate.

More features

Batteries included

More features

Everything you need to maintain uptime, ready out of the box. Error clustering, real-time status, native integrations. No assembly required.

Error Clustering

Thousands of errors, one root cause. Sazabi groups related failures automatically so you get a single alert for the actual problem, not 1,000 alerts for its symptoms.

Error clustering illustration

System Status

Real-time health overview of every service. Know what’s up, what’s down, and what’s degraded at a glance.

System status illustration

Integrations

Send alerts wherever your team works. Native integrations with Slack, PagerDuty, incident.io, email, and webhooks, so you get notified when something goes wrong, in the tools you already use.

Integrations illustration
Sazabi system ©
System init