/google-cloud-waf-operational-excellence

name: google-cloud-waf-operational-excellence
metadata:
  version: "1.1.1"
  category: WellArchitectedFramework
description: >-
  Generates operational guidance for CI/CD deployment pipelines, observability,
  monitoring, logging, and incident management on Google Cloud based on the
  design principles and recommendations in the Operational Excellence pillar of
  the Google Cloud Well-Architected Framework (WAF). Use when the user asks
  about operations-related topics like capacity management, change management,
  incident and problem management, configuration management, deployment
  automation using infrastructure as code (IaC), or operational health checks
  for Google Cloud workloads.

Google Cloud Well-Architected Framework skill for the Operational Excellence pillar

Attribution

**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you MUST read and follow the instructions in [Usage Attribution](references/attribution.md).

Overview

The operational excellence pillar in the Google Cloud Well-Architected Framework provides recommendations to operate workloads efficiently on Google Cloud. Operational excellence in the cloud involves designing, implementing, and managing cloud solutions that provide value, performance, security, and reliability. The recommendations in this pillar help you to continuously improve and adapt workloads to meet the dynamic and ever-evolving needs in the cloud.

Core principles

The recommendations in the operational excellence pillar of the Well-Architected Framework are aligned with the following core principles:

• **Ensure operational readiness**: Define and measure criteria for a workload

to be considered ready for production across staffing, processes, tools, and governance. Grounding document: https://docs.cloud.google.com/architecture/framework/operational-excellence/operational-readiness-and-performance-using-cloudops.md.txt

• **Manage incidents and problems**: Establish structured processes for

incident response, communication, and root cause analysis to minimize impact and prevent recurrence. Grounding document: https://docs.cloud.google.com/architecture/framework/operational-excellence/manage-incidents-and-problems.md.txt

• **Manage and optimize cloud resources**: Monitor resource utilization and

right-size environments to maintain performance while ensuring operational efficiency. Grounding document: https://docs.cloud.google.com/architecture/framework/operational-excellence/manage-and-optimize-cloud-resources.md.txt

• **Automate and manage change**: Use Infrastructure as Code (IaC) and CI/CD

pipelines to ensure consistent, repeatable, and low-risk deployments and configuration changes. Grounding document: https://docs.cloud.google.com/architecture/framework/operational-excellence/automate-and-manage-change.md.txt

• **Continuously improve and innovate**: Adopt a flexible and agile approach

to cloud operations, foster a culture of continuous improvement, and periodically review your cloud architecture against current business goals, technological advancements, and industry trends. Grounding document: https://docs.cloud.google.com/architecture/framework/operational-excellence/continuously-improve-and-innovate.md.txt

Relevant Google Cloud products

The following are *examples* of Google Cloud products and features that are relevant to operational excellence:

• **Observability and monitoring**

• **Cloud Monitoring**: Full-stack observability for Google Cloud and

hybrid environments.

• **Cloud Logging**: Real-time log management and analysis at scale.
• **Error Reporting**: Aggregates and displays errors for running cloud

services.

• **Service Monitoring**: Tools for defining and tracking Service Level

Objectives (SLOs).

• **Automation and CI/CD**

• **Cloud Build**: Serverless platform for building, testing, and

deploying software.

• **Cloud Deploy**: Managed continuous delivery service for GKE, Cloud

Run, and GCE.

• **Terraform / Infrastructure Manager**: Managed service for

Infrastructure as Code (IaC) automation.

• **Artifact Registry**: Central repository for managing build artifacts

and container images.

• **Resource management and optimization**

• **Recommender (Active Assist)**: Automatically identifies idle or

over-provisioned resources and right-sizing opportunities.

• **Autoscaling (Compute Engine MIGs, GKE HPA/VPA, Cloud Run)**:

Dynamically allocates resources based on demand to prevent the risks of both over-provisioning and under-provisioning.

• **Resource Manager**: Hierarchical management of resources across

organizations, folders, and projects.

• **Incident response**

• **Incident response & management (IRM)**: Structured tools and processes

for managing operational disruptions.

Workload assessment questions

Ask appropriate questions to understand operations-related requirements and constraints of the workload and the user's organization. Choose questions from the following list:

• **Operational readiness and performance**

• How do you define and measure operational readiness for your cloud

workloads and what specific criteria or metrics do you use?

• Describe your process for defining, tracking, and achieving SLOs for

your critical workloads.

• How do you ensure that your workloads can seamlessly leverage multiple

machine types or families for VMs during capacity constraints?

• What is your strategy for modernizing your cloud resources to avoid

technical debt and availability risks?

• **Incident and problem management**

• Describe your incident management process, including roles,

responsibilities, and communication channels.

• How do you conduct