OpsRamp AlOps Alert and Escalation Management

OpsRamp AlOps Alert and Escalation Management

Feb 7, 2019

The January 2019 OpsRamp Winter Release provides greater service-centricity and context for hybrid infrastructure monitoring and management allowing enterprise IT teams to embrace more intelligent incident management and deliver exceptional customer experiences.

The Winter Release introduces new capabilities for OpsRamp OpsQ, the intelligent event management engine for alert correlation, automation, and remediation. New features include:

  • Auto-Incident Creation and Routing. The biggest priority during a major outage is to assign and route incidents to the right on-call teams. OpsRamp OpsQ now enables automatic incident creation and routing using alert escalation policies to auto-assign incidents based on prior alert, incident, and notification data. Machine learning-driven alert escalation uses specific learned patterns (assignee groups, business impact, urgency, and priority) to route incident assignments for different types of alerts.
  • Augmented Training for Inference Models. OpsRamp’s machine learning-based inference models correlate alerts linked by a common cause using historical alert data. Opsramp’s OpsQ now allows users to augment these models with additional user-provided training data. With such augmented training, IT operations teams can bootstrap OpsQ to recognize alert sequences that are uncommon in everyday operations, but important to identify when they occur.
  • Frequency-Driven Alert Escalation. OpsQ now supports policies to escalate alerts based on how often an alert has recently occurred. With frequency-based alerting, operations teams can filter out alerts that flap only occasionally and escalate alerts that flap repeatedly.