CoreOS Tectonic Monitoring

CoreOS Tectonic Monitoring

CoreOS Tectonic Monitoring and Performance Management

Like open source Kubernetes (K8s), commercial Kubernetes services like CoreOS Tectonic are difficult to monitor, especially when trying to understand how application performance is connected to the Kubernetes system. CoreOS Tectonic is a hosted Kubernetes cluster, which is delivered as Infrastructure As A Service (IaaS) provided by CoreOS (which was acquired by Red Hat in early 2018). Instana’s CoreOS Tectonic Monitoring, part of our broader APM and application infrastructure monitoring solutions, provides comprehensive visibility into Tectonic, the Kubernetes Engine, containers, the application infrastructure platforms running in the containers, and the applications that run across the entire system.

Instana’s automated Kubernetes Monitoring helps Operations, DevOps and Engineering teams to to optimize application performance and better automate performance management workflows by going beyond simple metrics to provide advanced monitoring features:

  • Discovery of Kubernetes nodes and deployed services
  • Automatic code instrumentation of deployed services (when applicable)
  • Visualization of service dependency maps
  • Tracing of 100% of requests across all systems and services
  • Application and service health monitoring

Comprehensive monitoring of CoreOS Tectonic infrastructure requires performance visibility for the virtual hosts, running pods, containers and orchestration, as well as any applications and services deployed on the cluster.

Instana is the quickest and easiest way to monitor CoreOS Tectonic across the stack to deliver comprehensive application insights. The Instana agent automatically discovers all Kubernetes instances, deployed service technologies, deploys the necessary monitoring sensors and begins tracing applications and requests. Instana also automatically determines the health of the Tectonic cluster.

Monitoring CoreOS Tectonic Performance

Once deployed, the Instana Agent automatically identifies all running Tectonic Kubernetes nodes – then automatically deploys and configures Instana’s Tectonic Monitoring sensor (or
Kubernetes monitoring
sensor) . Instana’s curated knowledge base already knows what performance metrics are relevant for collection and how to collect them. To monitor the Tectonic cluster health, additional metrics are also collected. Since Instana’s automatic configuration collects all relevant information, monitoring a hosted Kubernetes cluster couldn’t be easier.

To determine overall service health, the Instana Monitoring sensors also collect KPIs on the monitored Tectonic cluster environment to determine its health status.

With the help of Artificial Intelligence (AI) and health signatures from the curated knowledge base, Instana automatically detects issues inside the Kubernetes cluster and service incidents. Based on severity, Instana automates incident escalation and root cause identification, helping you solve issues before users are impacted.

CoreOS Tectonic Configuration Monitoring

In addition to performance and health data, Instana’s Kubernetes Monitoring sensor also collects configuration data for Kubernetes, pods and containers, allowing Instana to analyze and correlate configuration data and changes with application and service performance information.

All Kubernetes performance and configuration information is summarized in a single Monitoring Dashboard, showing all relevant information in a single place for easy problem-solving and performance optimization.

CoreOS Tectonic performance monitoring centers around service metrics and their interactions with other services or data stores. Instana automatically identifies and collects the relevant service metrics.

CoreOS Tectonic Monitoring Data

Instana’s Kubernetes Monitoring includes four types of data; Cluster Data, Deployment Information, Pod Measurements, Node Measurements:

Cluster Data Node Measurements
Node Count Pod Allocation
Pod Allocation Pod Capacity
CPU Request Allocation CPU Request Allocation
CPU Limit Allocation CPU Limit Allocation
Memory Request Allocation Memory Request Allocation
Memory Limit Allocation Memory Limit Allocation
CPU Resources CPU Resources
CPU Requests CPU Requests
CPU Limits CPU Limits
CPU Capacity CPU Capacity
Memory Resources Memory Resources
Memory Requests Memory Requests
Memory Limits Memory Limits
Memory Capacity Memory Capacity
Pods (running / allocated / pending) Conditions
Pods Capacity Labels
Replicas (available / desired) Pod list
Node list with KPIs
Deployment list with KPIs Deployment Information
Component Status Conditions
Pod Measurements CPU Resources
KPIs CPU Requests
Phase CPU Limits
Restarts Memory Resources
CPU Requests Memory Requests
CPU Limits Memory Limits
Memory Requests Pods (available / desired)
Memory Limits Pods (pending / ready / unscheduled / unready)
Conditions Pending Phase Duration
Container List (state / restarts)


Further information on the different sensor information is available in the Instana CoreOS Tectonic Management Documentation.

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