Today’s services are complex and often comprised of geographically dispersed and ephemeral resources. LM Service Insight enables you to focus on the health and performance of the overall service, regardless of changes in underlying resources.
It can be challenging to maintain data continuity with the complexity of modern applications. LM Service Insight aggregates data across resources supporting a common application to provide long-term views into how that application performs over time.
Quickly drill down from overall service performance data to the individual performance data for underlying resources, to make troubleshooting faster than ever.
Dynamic grouping for resources supporting a common service makes it simpler to manage and schedule downtime for just those resources.
At-a-glance status dashboards are automatically created for each of your services, making it easier to share information and keep your team informed.
Distinguish service-impacting alerts from non-service impacting alerts, and reduce how often you get woken up in the middle of the night.
Pre-configured alert thresholds ensure that you receive meaningful alerts right from the start, and help you to proactively prevent downtime.
Out of the box dashboards provide deeper insight and will help you identify how you can optimize your cluster.
We find LM Service Insight extremely useful for capacity planning. We are able to track when a node class is using too much memory or other resource, and receive an immediate alert on it. We no longer have to wait for the node or the device itself to issue an alert.
Joseph Fender
IT System Engineer, Q2ebanking