Incidents
Logs, metrics, and traces correlated the moment an incident fires, so your team triages and resolves with the full picture.
- Reliability & Incident Management
Bring teams, models, knowledge and systems together around the work
Enterprise AI Platform
AI Intelligence & Models
AI Assistant & Productivity
Agent Platform & Orchestration
//Alerts
Real-time and scheduled, built for scale. Detect and resolve systemic issues with alerting built for modern observability.
Destinations
Slack, email, or webhook, no new tool to check.
Conditions
Alert conditions in the query language that fits the signal.
Timing
Catch spikes the instant they happen, or check for slow drift on a schedule.
//Overview
Observability alerting evaluates conditions on logs, metrics and traces and notifies the right people when something needs attention, ideally with enough context to act and little enough noise to be trusted.
DataObserve Sense supports real-time alerts that evaluate as data arrives and scheduled alerts at intervals, with SQL or PromQL conditions, anomaly detection, aggregation, smart silence periods and destinations where your team already works.
//Get paged for what matters
Catch gradual drift that instant checks miss.
Issues caught the moment they occur.
Machine learning finds unusual patterns without manual thresholds.
Windows that catch sustained issues and filter momentary spikes.
Suppression rules end alert storms and fatigue.
Balance early detection against system load.
//Explore more withDataObserve
Logs, metrics, and traces correlated the moment an incident fires, so your team triages and resolves with the full picture.
Define what working means, measure it continuously, and alert on how fast you're burning error budget, on the engine that holds your logs, metrics, and traces.
A 24/7 AI SRE that starts investigating the second an alert fires, so you arrive to root causes instead of raw telemetry.
No SQL required, answers in seconds.
//FAQs
Which alert types are there?
Scheduled alerts evaluate at intervals; real-time alerts evaluate as data arrives.
How are conditions written?
With SQL, or with the quick condition builder.
What can I configure?
Evaluation frequency and period, threshold occurrences, and silence periods.
Where can alerts be sent?
To the tools your team already uses: Slack, email and webhooks, so there is no new tool to check.
How do I reduce alert noise?
Use aggregation, silence periods, frequency tuning and anomaly-based conditions, and alert on SLO burn rate for user-facing symptoms.
// Designed for enterprises
Review security, data handling and deployment requirements with our team.
Keep sensitive information within your organization’s approved data boundaries.
Define who can access connected data and which actions require approval.
Plan deployment around your infrastructure and operational requirements.
