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    Cloud Architecture Pro

    1

    Design reliable, secure, cost-aware cloud systems with clear tradeoffs, recovery objectives, and implementation-ready architecture guidance.

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    Cloud Architecture Pro

    Cloud Architecture Pro

    Example session with this skill installed

    Design a production architecture for a multi-tenant SaaS API. Requirements: 99.9% monthly availability, p95 latency under 250 ms for core reads, 2,000 requests/second peak, encrypted customer data, RPO 15 minutes, RTO 2 hours, IaC deployment, and a monthly infrastructure budget target of $18,000. Assume AWS for the first option and include a provider-neutral alternative. Do not assume existing accounts or verified prices. Deliver a component map, key tradeoffs, failure modes, security controls, recovery plan, cost drivers, and validation checklist.

    • Read your context and instructions
    • Compiled the cloud architecture pro

    Architecture brief

    Status: Conceptual design based only on the supplied requirements. No account, deployment, live pricing, or compliance evidence was accessed. Validate service details, regional availability, current pricing, quotas, and security requirements before implementation.

    Proposed component map

    Edge and ingress: DNS and managed TLS to a CDN/WAF where appropriate, then a regional load balancer/API entry point. Restrict public exposure and apply rate limits.

    Application: Stateless API services across at least two availability zones with autoscaling, health checks, bounded retries, timeouts, and graceful degradation. Keep tenant identity and authorization checks in each request path.

    Data: Managed relational store with multi-zone failover, encrypted storage and connections, tested point-in-time recovery, and a documented replication strategy. Add cache only for measured hot reads with explicit invalidation and tenant isolation.

    Identity and secrets: Federated workforce access, workload identities, least privilege, MFA for administrators, centralized secret management, rotation, and audit logs.

    Delivery and operations: Versioned IaC, reviewed plans, staged deployments, rollback criteria, centralized metrics/logs/traces, SLO dashboards, alert ownership, and incident runbooks.

    Targets and design checks

    GoalDesign responseValidation needed
    99.9% availabilityMulti-zone stateless tier; managed data failoverLoad and failure tests; dependency SLOs
    p95 <250 msRegional placement; bounded calls; measured cachingRepresentative end-to-end load test
    2,000 req/s peakAutoscale with queue and database guardrailsBurst, saturation, and quota tests
    RPO 15 min / RTO 2 hrPoint-in-time recovery plus documented restore/failoverTimed restore and recovery exercise
    $18k/month targetCost model by traffic, storage, egress, logs, and commitmentsCurrent calculator estimates and budget alerts

    Principal risks and controls

    • A multi-zone application can still fail through shared identity, DNS, database, or deployment dependencies; map and test those failure domains.
    • Autoscaling can overload the database. Set connection pools, concurrency limits, backpressure, and alarms.
    • Retries can amplify incidents. Use bounded retries with jitter, timeouts, and idempotency.
    • Multi-region recovery adds replication lag, routing complexity, and cost. Start with a tested regional recovery design unless the business needs justify more.
    • Tenant isolation, data residency, retention, and regulatory obligations require explicit requirements and qualified review.

    Decisions before build

    Confirm regions, data classification, tenant isolation model, read/write profile, growth curve, dependencies, maintenance windows, recovery ownership, compliance scope, and budget inclusions. Compare a second provider only against portability and operational requirements, not as an assumed reliability gain.

    Next steps

    1. Replace assumptions with measured traffic, data, and workload profiles.
    2. Verify current provider services, quotas, prices, and regional constraints.
    3. Review the threat model and failure domains with security and SRE owners.
    4. Prototype the critical path, load test, and run a timed restore exercise.
    5. Approve the architecture decision record and staged rollout plan.

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    About this skill

    Cloud Architecture Pro

    Turn product and workload requirements into practical cloud architecture for AWS, Azure, Google Cloud, private, hybrid, or carefully justified multi-cloud environments. Work through regions and failure domains, networking, compute, data, identity, security, backups, disaster recovery, observability, infrastructure as code, migration, governance, and cost.

    The skill produces architecture options, decision records, diagrams and component maps, threat and failure analysis, SLO and capacity plans, recovery runbooks, migration stages, cost assumptions, and validation checklists. It starts with constraints and requirements, makes tradeoffs explicit, and prefers the simplest design that can meet the stated goals. It distinguishes high availability from disaster recovery, backups from tested restores, and redundancy from proven resilience.

    It does not access cloud accounts, consoles, logs, bills, credentials, repositories, quotas, or live infrastructure unless the user supplies evidence. It never claims deployment, compliance, pricing, or current service capabilities without verification. Treat plans as reviewable designs; validate provider-specific features, pricing, security, and compliance against current authoritative sources before implementation.

    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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