Overview

An application-centric monitoring topology

Monitor at the microservice level to gain visibility into the total state of application environments. Quickly reach root causes of incidents for both containers and VMs — regardless of cloud provider or volume of clusters — from a single control point.

Streamline issue remediation with targeted event management and automated runbooks, eliminating the need for direct team involvement or manual identification.

How it's used

Kubernetes monitoring

Kubernetes monitoring dashboard

Kubernetes monitoring

Use the built-in Kubernetes data collector to gather detailed information on cluster performance, to generate alerts on abnormal behavior and to automatically import performance and topology data.

Synthetic monitoring

Response time dashboard

Synthetic monitoring

Set up a synthetic PoP (point of presence) agent to test web pages and REST APIs to ensure applications and microservices run within expected response times.

Instrument other resources

Golden Signals dashboard

Instrument other resources

Gain visibility into application topology for better analysis. Runtime data collectors can also provide insight into the topology and transactional flows within the microservice.

Traditional monitoring

Traditional agent monitoring dashboard

Traditional monitoring

Monitor on-premises applications and infrastructure alongside cloud-native resources. Use built-in monitoring agents for databases, application servers, hypervisors and more.