Cloud Architects and Infrastructure Engineers
Designing a monitoring strategy for a new Anthos On-Prem deployment
Use cases
About
The Anthos Observability mind map template provides a structured technical overview of Google Cloud's hybrid and multi-cloud monitoring ecosystem, encompassing 63 distinct nodes of architectural data. It serves as a comprehensive cheat sheet for cloud architects and SREs managing Anthos On-Prem and GKE clusters. The content specifically details the integration of Cloud Monitoring and Audit Logging, while providing deep dives into the Prometheus and Grafana stack. Users can explore the nuances of the Metrics and Metadata Collector and the specific Agent Configuration required for seamless telemetry. This template is designed to help teams understand how system components are monitored by default and how to extend visibility to application-level metrics using mTLS-secured endpoints and RBAC rules.
Terms and ConditionsWhen to use this template
Site Reliability Engineering (SRE) Leads
Onboarding new SRE team members to the Google Cloud observability stack
IT Security Auditors and Compliance Officers
Auditing security and compliance for cluster logging and data access
How to use this template
Step 1
Import the template file
Open the .xmind file in Xmind desktop or the web app to view the full Anthos Observability hierarchy.
Step 2
Customize cluster specific details
Navigate to the Logging and Monitoring Installation branch and replace generic placeholders with your specific Project ID and Cluster Name.
Step 3
Expand with custom metrics
Add new sub-nodes under the Prometheus and Grafana section to document your specific application-level alerts and dashboard links.
Frequently asked questions
This template includes a full breakdown of logging solutions, metrics collection, and alerting mechanisms. It covers specific components like the Log Aggregator, Prometheus Alertmanager, and the configuration of Grafana for visualizing cluster health and resource usage.
You can use the Prometheus and Grafana section to identify which metrics are collected, such as Kubernetes control plane data and Pod health. It also outlines how to access metrics even when network connectivity to the cloud is lost.
Yes, the template is fully editable. You can modify the Agent Configuration nodes, update the project ID or cluster location in the installation section, and add your own custom monitoring endpoints to the existing tree.
It defines the mechanism for gathering resource usage data, such as CPU utilization and machine metrics like inodes and entropy, ensuring that both system and application-level telemetry are captured correctly.
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