Alerting

Anomaly Detection and Change Intelligence for High Cardinality Environments

An end-to-end alerting tool built to tackle high cardinality use cases. Designed to reduce alert fatigue and improve Mean Time to Detect.

Core tenets of Last9 Alerting, from the ashes of countless RCAs.

Reliable

Monitoring tools watch your stack. But who watches your monitoring?

Alert Studio exposes the runtime metrics of the alert evaluation engine to the user, bringing in accountability and transparency.

Correlations

Not able to get the big picture due to multiple siloed tools?

Alert Studio helps identify trends in infra, app, and business metrics. It correlates config & environment changes impacting system health.

Actionable

Are false, noisy, and stale alerts destroying the effectiveness of alerting?

IaC and GitOps workflows streamline alert setups, while Anomalous Pattern Detection tackles false positives arising from static thresholds.

Open Standards- and PromQL-compatible, but with super powers.

Change Intelligence

  • Changeboards: A simple view that gives a correlated timeline of system health
  • Change Events: captures changes such as deployment & configuration changes, notify special calendar events

Anomalous Pattern Detection

  • Reduce alert fatigue due to innumerable static thresholds used in setting alert rules
  • Detect spike changes, loss of signal, baseline deviation and noisy neighbors using our Anomalous Pattern Detection Guide

Agile Configuration Management

  • Automated workflows with Infrastructure as Code (IaC) tool for managing alert configurations
  • Component auto discovery
  • Version history and peer review of configurations using GitOps
  • Programmatic configuration with Python SDK and first class API

Automation, automation, automation. That’s how we work at Probo and Last9’s alerting just fits like a glove into that workflow. Reliable, easy to integrate, and exceptional customer support.

Aditya Chowdhry, Platform Lead, Probo