OpsRamp announced its new OpsQ Recommend Mode for first-response and incident remediation. OpsQ Recommend Mode uses predictive analytics to reduce mean-time-to-resolution (MTTR).
Other artificial intelligence for IT operations (AIOps) innovations in the release include visualization of alert similarity patterns and new alert stats widgets to provide transparency into machine learning-driven decisions, OpsRamp says.
The OpsRamp Winter 2020 Release also introduces 19 new cloud monitoring integrations for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), along with dynamic topology maps for Azure and GCP.
The Winter 2020 Release introduces the OpQ Bot and a new Recommend Mode for alert escalation policies.
Visualization of Alert Seasonality Patterns allows IT teams to visualize seasonality patterns that OpsQ has learned.
The Alert Stats Widget shows the total number of raw events, correlated alerts, inference alerts, auto-ticketed alerts, and auto-suppressed alerts handled by the OpsQ event management engine.
OpsRamp also added monitoring support for AWS, Azure, and Google Cloud services, including:
- AWS – Transit Gateway, AppSync, CloudSearch, and DocumentDB
- Azure – Application Insights, Traffic Manager, Virtual Network, Route Table, Virtual Machine Scale Sets, SQL Elastic Pool, and Service Bus
- GCP – Cloud BigTable, Cloud Composer, Cloud Filestore, Firebase, Cloud Memorystore for Redis, Cloud Run, Cloud TPU, and Cloud Tasks
Cloud Topology Maps support automated topology discovery and mapping for Azure and GCP.
Agentless Discovery and Monitoring for Windows Servers, as its name suggests, allows automated monitoring. Synthetic Monitoring provides deeper insights and analysis for troubleshooting multi-step transactions.
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