Skip to content

//Alerts

Real-time alerts.Signal, not noise.

Real-time and scheduled, built for scale. Detect and resolve systemic issues with alerting built for modern observability.

  • Destinations

    Alerts where your team already works

    Slack, email, or webhook, no new tool to check.

  • Conditions

    SQL for logs, PromQL for metrics

    Alert conditions in the query language that fits the signal.

  • Timing

    Real-time or scheduled, your call

    Catch spikes the instant they happen, or check for slow drift on a schedule.

//Overview

What is observability alerting?

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

Alert types, configuration, and notifications

  • Scheduled alerts

    Catch gradual drift that instant checks miss.

  • Real-time alerts

    Issues caught the moment they occur.

  • Anomalies

    Machine learning finds unusual patterns without manual thresholds.

  • Aggregation support

    Windows that catch sustained issues and filter momentary spikes.

  • Smart silence periods

    Suppression rules end alert storms and fatigue.

  • Frequency optimization

    Balance early detection against system load.

//Explore more withDataObserve

More from Sense · Reliability & Incident Management

  • Incidents

    Logs, metrics, and traces correlated the moment an incident fires, so your team triages and resolves with the full picture.

    • Reliability & Incident Management
  • SLOs

    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.

    • Reliability & Incident Management
  • AI SRE

    A 24/7 AI SRE that starts investigating the second an alert fires, so you arrive to root causes instead of raw telemetry.

    • Reliability & Incident Management
  • AI Assistant

    No SQL required, answers in seconds.

    • Reliability & Incident Management

//FAQs

Alerts: questions teams ask

  • 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

We safeguard your company data and protect workspace privacy.

Review security, data handling and deployment requirements with our team.

  • Security and privacy

    Keep sensitive information within your organization’s approved data boundaries.

  • Governance and access

    Define who can access connected data and which actions require approval.

  • Enterprise deployment

    Plan deployment around your infrastructure and operational requirements.

We are HiringJoin the //Leap