OpsRamp Intros OpsQ
October 19, 2018
is OpsQ, an intelligent event management, alert correlation, and
remediation solution for the hybrid enterprise.
Now, IT operations teams can optimize and automate routine tasks with
context and insight at scale by understanding the business impact of an
IT issue and ensure rapid service restoration. OpsRamp OpsQ introduces
powerful machine learning inference models that learn how frequently
specific alert sequences occur and recognize events correlated to the
With OpsQ, IT operations teams can analyze IT event streams in
real-time, extract meaningful insights from events for continuous
improvement, drive faster deployments and better collaboration, and
reduce downtime with proactive detection. OpsQ displays the critical
root-cause alerts from native instrumentation and third-party event
streams, suppresses non-emergency alerts, escalates critical events, and
integrates with ITSM tools for faster remediation.
“We have seen dramatic improvements in certain alert volumes using
OpsRamp OpsQ,” said Ravikumar Raghavender Rao, Vice President of Service
Delivery at NetEnrich, a leading provider of automation-led cloud
operations services, and a key partner of OpsRamp. “At some clients, for
certain types of alerts, we’ve seen alert volumes reduce by over 90% due
to effective correlation by OpsQ, improving our ability to provide
first-to-know outcome-driven services to them.”
OpsRamp OpsQ includes several features to drive greater efficiency
within modern IT operational environments, including:
Inference Models. Enjoy a richer, deeper and more contextual view of
your IT incidents using statistical evidence and reasoning with three
inference models today:
helps you visualize the upstream and downstream resources that comprise
an IT service.
lets you create rules to correlate events based on their attributes.
Co-occurrence-based correlation automatically recognizes alerts that are
related by the same cause.
Proactively identify service disruptions with forecasting and change
detection alerts. Detect potential triggers and then speed incident
detection by dramatically reducing the volume of alerts, so that IT
teams can quickly focus on restoring the IT services that matter the
most to the business.
Alert Correlation. Surface
accurate insights for problem isolation by ingesting, understanding and
organizing alerts across dynamic and distributed IT environments.
Alert Escalation. Drive faster
mean-time-to-acknowledgement with smart and tailored notifications based
on first-responder communication preferences (email, text, voice and
chat) for faster reaction times.
Automatically send incidents to an appropriate team for rapid incident
response using on-call schedules for your global NOC teams.
Auto Remediation. Speed execution
for incident remediation with automation policies that reduce
is the critical enabler for digital transformation and the need for
proactive performance monitoring of digital services has never been more
important,” says Nancy Gohring, senior analyst from 451 Research.
“Modern digital operations teams are increasingly looking to advanced
analytical techniques like machine learning to assist in performance
monitoring. The endgame is to deliver better customer experiences
efficiently and at scale.”
“Our service-centric AIOps platform represents a fundamental
transformation in how IT operations teams maintain business services and
deliver exceptional customer experiences,” said Bhanu Singh, Vice
President of Product Development and Operations for OpsRamp. “OpsQ helps
enterprises and managed service providers handle previously unmanageable
alert volumes, while OpsRamp’s service and topology maps let you
visualize overall business-service health. Together, they’re a modern
solution for IT monitoring and management in the hybrid, multi-cloud