The Winter Release of IT operations management platform OpsRamp is now available, providing operational engineers with more monitoring for cloud workloads, enhanced automation, and additional ways of discovering and mapping services and their relationships.
Those familiar with OpsRamp’s topology discovery can now start using it to map relationships between components of popular enterprise applications and infrastructure elements, and discover virtual machines, hypervisors, and clusters in respective environments. Meanwhile a new service maps interface should help ease first-timers in by offering ways to identify resources behind service outages.
Since OpsRamp is a vocal advocate for using machine learning to support operations, it doesn’t come as a surprise that the new platform version includes several additions to the OpsQ event management engine. The module for alert correlation, automation, and remediation was introduced with the October 2018 update, and now has a way of automatically assigning incidents using knowledge gained from prior alerts, incidents, and notification data.
To improve the models OpsQ applies, users can now provide additional training data which for example could include vital but seldomly occurring, and therefore hard to pick up during the “learning” phases, alert sequences.
The new release also offers discovery and monitoring for Kubernetes environments across a variety of platforms, accommodating the growing demand for container orchestration. Functions to collect, aggregate, correlate, and escalate cloud events from services such as AWS Health, Redshift, and CloudWatch transform the platform into a multi-cloud event monitor.