LogicMonitor Introduces Kubernetes Container Monitoring and LM Service Insight
January 15, 2019
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LogicMonitor introduced two innovations to help engineers monitor their dynamic microservices and containerized applications: Kubernetes container monitoring and LM Service Insight.

According to a Cloud Native Computing Foundation survey, 40 percent of enterprise companies are running Kubernetes in production. These containers create a dynamic environment that is difficult to monitor. LogicMonitor addresses these challenges by combining robust Kubernetes monitoring and long-term data retention into one integrated platform.

LogicMonitor’s event-based Kubernetes monitoring:

- Eliminates the need to have an agent on every node

- Automatically adds and removes cluster resources from monitoring

- Offers comprehensive performance and health metrics at both the cluster and application level

- Provides insight on underutilized resources (including CPU and memory) for maximum optimization

“If you want to break up a monolithic service into microservices orchestrated with Kubernetes, you shouldn’t have to stop and make sure your monitoring solution can keep up. You should never have to sacrifice business vision because of infrastructure challenges,” said Steve Francis, Founder and Chief Evangelist at LogicMonitor.

LM Service Insight provides service-oriented monitoring, enabling the dynamic grouping of resources that support a common application, service or cluster together into one logical group, while still providing visibility into the underlying resources. LM Service Insight™ enables DevOps teams to ensure better availability and performance of services and applications, view historical service performance and reduce alert noise. Additionally, service topology is automatically generated and presented alongside monitoring and alerting data.

Organizations can use Kubernetes container monitoring and LM Service Insight together to aggregate data across ephemeral containers and better understand overall application performance over time.

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