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google-cloud-waf-operational-excellence

Generates operations-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify operational requirements, and provide actionable recommendations for deployment, monitoring, and incident management.

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

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:

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 resources and right-sizing opportunities.
    • 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.
  • Incident and problem management

    • Describe your incident management process, including roles, responsibilities, and communication channels.
    • How do you conduct post-incident reviews (PIRs) to identify root causes and implement preventive measures?
  • Resource management and optimization

    • How do you ensure that your cloud resources are right-sized for your workloads, and what tools or techniques do you use?
  • Change automation

    • Describe your change management process, including approval workflows, testing procedures, and deployment strategies.
    • How do you automate deployments, ensure their consistency and manage configuration?
  • Continuous improvement

    • How do you ensure that your cloud operations are continuously adapting to meet evolving business needs and technological advancements?

Validation checklist

Use the following checklist to evaluate the architecture's alignment with operational excellence recommendations:

  • Operational readiness

    • A formal framework or set of criteria exists to assess operational readiness before production deployment.
    • Service Level Objectives (SLOs) are explicitly defined and monitored using automated tools.
  • Incident management

    • Incident response roles and communication channels are clearly defined and documented.
    • A structured, blameless post-mortem process is followed for all major incidents.
  • Change automation

    • All infrastructure changes are performed using Infrastructure as Code (IaC) to ensure consistency.
    • CI/CD pipelines are integrated with automated testing for all deployment changes.
  • Resource optimization

    • Resource utilization is regularly reviewed using recommendations from Active Assist or performance data.
  • Culture of improvement

    • A documented strategy is in place for regularly reviewing and adapting cloud operations to industry advancements.

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