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    Google Cloud Architect — Design Scalable GCP Platforms

    1

    Create GCP architecture blueprints with workload requirements, identity boundaries, failure domains, data authority, recovery and cost controls.

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    Google Cloud Architect — Design Scalable GCP Platforms

    Google Cloud Architect — Design Scalable GCP Platforms

    Example session with this skill installed

    Fictional example: A small web service needs managed deployment, PostgreSQL data and nightly backups. The team has no Kubernetes expertise and has not defined availability or recovery targets. Produce a complete first-pass deliverable, separate facts from assumptions and give practical next steps. Do not take external actions.

    • Read your context and instructions
    • Compiled the google cloud architect

    Google Cloud Architect: worked example

    Scope: this fictional brief, using only supplied information.

    A small web service needs managed deployment, PostgreSQL data and nightly backups. The team has no Kubernetes expertise and has not defined availability or recovery targets.

    Deliverable

    WorkstreamFinding / decisionRecommended action
    ComputeSmall team and ordinary web workloadEvaluate a managed application runtime before a cluster; choose based on runtime, traffic, deployment and operational constraints.
    DataPostgreSQL is requiredPlan managed relational storage, private access where appropriate, least-privilege identities and schema migration ownership.
    ReliabilityNightly backup is not a recovery objectiveDefine acceptable data loss and recovery time; design backup retention, restore drills, monitoring and cost budgets against those targets.

    Decision and next steps

    Write requirements and architecture decisions before provisioning. Confirm region, compliance, current product capabilities/pricing and recovery needs; no cloud resources were created.

    Evidence boundaries

    Conclusions apply to the supplied scenario. Missing facts remain unverified; recommendations are not completed actions. Validate source data and approvals before implementation. Track results against the objective and adjust only when new evidence supports change.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Google Cloud Architect

    Create GCP architecture blueprints with workload requirements, identity boundaries, failure domains, data authority, recovery and cost controls.

    Workflow and deliverables

    • Evaluate a managed application runtime before a cluster; choose based on runtime, traffic, deployment and operational constraints.
    • Plan managed relational storage, private access where appropriate, least-privilege identities and schema migration ownership.
    • Define acceptable data loss and recovery time; design backup retention, restore drills, monitoring and cost budgets against those targets.

    Getting started

    Provide your goal, relevant source material, constraints and context for google cloud architect. Include dates, existing decisions and any restrictions that must be preserved.

    Receive a structured deliverable with source facts, explicit assumptions, priorities, open questions and next steps. Adapt the depth to your available evidence; the sample below demonstrates the workflow with fictional inputs.

    Boundaries

    Uses supplied evidence and explicit assumptions. No guaranteed outcomes or continuous monitoring. Live research and external actions require supported tools and authorization.

    Reusable agent instructions, with optional tool use depending on your host. External actions require supported tools and explicit authorization.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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