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Anthos Service Mesh

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Use cases

About

The Anthos Service Mesh mind map is a technical architecture guide covering 81 nodes of detailed infrastructure data for Google Cloud's Istio-based distribution. It serves as a comprehensive 'Anthos Service Mesh cheat sheet' for DevOps engineers and SREs, detailing how the platform provides a tested configuration profile for GKE on VMWare, Baremetal, and multi-cloud environments. The template specifically outlines the 'Overview' of Google-supported Istio distributions, the mechanics of 'Observability' through telemetry, and the implementation of 'Security' protocols. By mapping out the relationship between service-to-service communication and Google Cloud ingestion, this 'Anthos Service Mesh template' provides a structured view of how to manage, secure, and observe microservices at scale without manual code instrumentation.

anthosservice meshcloud
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When to use this template

Cloud Architects and Security Engineers

Designing a microservices architecture on Google Kubernetes Engine (GKE) with a focus on zero-trust security.

Site Reliability Engineers (SREs)

Establishing monitoring standards and error budgets using Service Level Objectives (SLOs) for a DevOps team.

IT Managers and Technical Leads

Onboarding new team members to the Anthos ecosystem and explaining the role of Istio and Mesh CA.

How to use this template

Step 1

Import the ASM template

Open the .xmind file in Xmind to access the full 81-node breakdown of Anthos Service Mesh components.

Step 2

Customize your service metrics

Navigate to the SLO & SLI branch and replace the generic latency and availability targets with your specific application requirements.

Step 3

Map your security policies

Use the Security and Authentication nodes to document your organization's specific mTLS and Mesh CA implementation details.

Frequently asked questions

This template covers ten primary areas: Overview, Observability, Dashboard, SLO & SLI, Security, Authentication, Mesh CA, mTLS, Logging, and Policy. It provides a 360-degree view of managing a service mesh on Google Cloud.

The 'SLO & SLI' branch defines Service Level Objectives as measurable goals and Service Level Indicators as quantitative measures like latency and availability, helping teams set realistic performance targets.

Yes, the template includes specific details on 'Security' and 'mTLS' which are essential for maintaining a consistent security posture across GKE on VMWare, Baremetal, and other cloud platforms.

Absolutely. You can download the .xmind file to add your own cluster configurations, specific policy requirements, or custom dashboard links to the existing 81-node structure.

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