Static monitors fail when you need them most. Self-configuring alerts that learn your system and only escalate what matters.
Detects sudden jumps in error rates across services, correlates them with recent changes, and tells you exactly what broke.
Catches query performance degradation before it cascades. Pinpoints the table, the query, and the missing index.
Monitors deployments end-to-end. When health checks fail, you get the root cause, not just a rollback notification.
Spots when things stop happening. No webhooks processed, no jobs running, no events flowing. Sazabi notices the silence.
Correlates rage clicks, repeated submissions, and support tickets to surface UX issues before they become churn.
Tracks cloud spend in real time and flags anomalous cost spikes, so a cache miss storm doesn’t become a billing surprise.
Detects sudden jumps in error rates across services, correlates them with recent changes, and tells you exactly what broke.
Catches query performance degradation before it cascades. Pinpoints the table, the query, and the missing index.
Monitors deployments end-to-end. When health checks fail, you get the root cause, not just a rollback notification.
Spots when things stop happening. No webhooks processed, no jobs running, no events flowing. Sazabi notices the silence.
Correlates rage clicks, repeated submissions, and support tickets to surface UX issues before they become churn.
Tracks cloud spend in real time and flags anomalous cost spikes, so a cache miss storm doesn’t become a billing surprise.
Spots when things stop happening. No webhooks processed, no jobs running, no events flowing. Sazabi notices the silence.
Correlates rage clicks, repeated submissions, and support tickets to surface UX issues before they become churn.
Tracks cloud spend in real time and flags anomalous cost spikes, so a cache miss storm doesn’t become a billing surprise.

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

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.
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.
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.
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.

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

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

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.
