Introducing the OpsRamp Winter Release, January 2019
Take Action Faster With Context And Insight.
OpsRamp helps digital operations teams drive resilient and responsive IT services by discovering topological relationships between resources at multiple levels in the increasingly hybrid and multi-cloud IT stack. In this webinar you’ll get an overview of Winter Release, including demonstrations of features to drive greater efficiency within modern IT operational environments:
- Application Topology. OpsRamp discovers more than forty popular enterprise applications and establishes topological relationships between application components and infrastructure.
- Hypervisor Topology. OpsRamp discovers virtual machines, hypervisor servers and clusters in VMware vSphere and KVM environments and their relationships.
- Enhanced Service Maps. Representing logical IT services, OpsRamp service maps now have a new user interface that makes it easy to identify underlying resources behind an IT service outage so that operations teams can hone in on the right course of action to restore services.
- Auto-Incident Creation and Routing. 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.
- Cloud Native Monitoring. Discover and monitor Kubernetes environments across on-prem and cloud services like Azure Kubernetes Services, Google Kubernetes Engine, and Amazon Elastic Container Service for Kubernetes.