Claude Skill

cloud-infrastructure

Designs and runs cloud infrastructure — environments, infrastructure as code, networking and isolation, scaling, and cost. Use this to design a cloud environment, control infrastructure spend, set up environment separation, plan for scale or region failure, or review infrastructu

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Part of cbrock84/headcount — 160 skills

Install

skills CLI npx skills add https://github.com/cbrock84/headcount/tree/main/plugins/technology/skills/cloud-infrastructure
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install cbrock84-headcount@llmmart
Git git clone https://github.com/cbrock84/headcount.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole cbrock84/headcount collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Cloud infrastructure

Cloud replaces capital cost with an operating cost that scales with carelessness. The discipline is mostly about making the environment reproducible and the spend visible.

Everything reproducible from code

Infrastructure created by hand cannot be reviewed, reproduced, or recovered. Define it as code, review it like code, and apply it through a pipeline rather than from a laptop.

The test: could you rebuild the environment from an empty account, and do you know that because you have done it? Untested reproducibility is a belief.

Console access for humans should be read-only in production by default. Write access exists for emergencies, is time-bound, and is logged — see security:access-and-identity for the policy this implements.

Environments that mean something

Separate environments by blast radius, not by name. Separate accounts or subscriptions give a hard boundary; separate namespaces in one account give a soft one that a misconfigured permission crosses.

Production data does not belong in lower environments. Where realistic data is needed, mask or synthesize it — a copied production database is a breach waiting for a misconfigured bucket, and it is one of the most common ways personal data escapes.

Networking and isolation

Default deny, then open what is needed. Public exposure should be a deliberate, reviewable act rather than the residue of a default.

Keep the trust boundary explicit and few: what is reachable from the internet, what is reachable between services, what reaches data stores. Most cloud incidents are not exotic — they are a storage bucket, a database, or a management interface that was reachable and should not have been.

Scaling and failure

Scale horizontally where you can and know your actual limits — the database connection ceiling, the third-party rate limit, the single-threaded component nobody remembers. Autoscaling in front of a hard downstream limit converts a slow system into an outage.

Design for the failure of a single instance and a single zone as routine. Region failure is a business continuity decision with a real price attached, made with operations:business-continuity-and-resilience rather than assumed by engineering.

Cost

Cost is an architectural property. Attribute spend by team and workload from the start; without tagging, cost becomes an unattributable aggregate that only ever gets addressed in a panic.

The usual large wins are unglamorous: idle non-production resources, over-provisioned instances, storage nobody deleted, and cross-zone data transfer nobody accounted for.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Tooling

Platforms: AWS, Google Cloud, Microsoft Azure, and similar; managed application platforms — Fly.io, Render, Vercel, Railway — remove most of this work and are the right answer more often than engineering pride admits.

Orchestration where you need it: Kubernetes with a managed control plane, or a container service like ECS. Kubernetes is a platform team's worth of work; adopt it when you have the team.

Infrastructure as code and secrets: Terraform, OpenTofu, Pulumi, and similar, with secrets in a managed store rather than in the state file. it-operations:cloud-administration covers the corporate cloud estate, which is a different problem with overlapping tools.

Never

  • Make a production change by hand that is not reflected in code.
  • Put production data in a lower environment unmasked.
  • Autoscale a tier in front of a hard downstream limit.
  • Run without cost attribution until the bill forces it.
Files (headcount)
  • references
    • sources.md 1.8 KB
      # Sources — `technology:cloud-infrastructure`
      
      <!-- Generated by scripts/build-sources.py from sources/*.toml. Do not edit. -->
      
      Check these before answering on anything they cover, and cite what you used. The use note on each one is binding: most of what a professional cites is free to read and not free to reproduce.
      
      ## AWS Well-Architected Framework
      
      Amazon Web Services · global · **read and cite only — copyrighted, do not reproduce**
      
      <https://docs.aws.amazon.com/wellarchitected/latest/framework/welcome.html>
      
      **Authoritative for:** What AWS itself considers a correct design on AWS, and therefore what an AWS architecture review will be graded against.
      
      ## Azure Well-Architected Framework
      
      Microsoft · global · **read and cite only — copyrighted, do not reproduce**
      
      <https://learn.microsoft.com/en-us/azure/well-architected/>
      
      **Authoritative for:** Microsoft's own normative design guidance for Azure, and the basis of its assessment tooling.
      
      ## Google Cloud Architecture Framework
      
      Google Cloud · global · **read and cite only — copyrighted, do not reproduce**
      
      <https://cloud.google.com/architecture/framework>
      
      **Authoritative for:** Google Cloud's own normative design guidance, and what its architecture reviews assess against.
      
      ## NIST SP 800-145: The NIST Definition of Cloud Computing
      
      NIST · US · public domain (US government) — quote freely
      
      <https://csrc.nist.gov/pubs/sp/800/145/final>
      
      **Authoritative for:** What counts as infrastructure, platform or software as a service, and what public, private, community and hybrid mean. Still the definition contracts and audits cite.
      
      ---
      
      Sources are maintained in `sources/` upstream, not here. If one is wrong, out of date, or missing, fix it there — this file is regenerated and an edit to it is lost.
      
  • SKILL.md 4.2 KB
    ---
    name: cloud-infrastructure
    description: Designs and runs cloud infrastructure — environments, infrastructure as code, networking and isolation, scaling, and cost. Use this to design a cloud environment, control infrastructure spend, set up environment separation, plan for scale or region failure, or review infrastructure someone configured by hand.
    ---
    
    # Cloud infrastructure
    
    Cloud replaces capital cost with an operating cost that scales with carelessness. The discipline is
    mostly about making the environment reproducible and the spend visible.
    
    ## Everything reproducible from code
    
    Infrastructure created by hand cannot be reviewed, reproduced, or recovered. Define it as code,
    review it like code, and apply it through a pipeline rather than from a laptop.
    
    The test: could you rebuild the environment from an empty account, and do you know that because you
    have done it? Untested reproducibility is a belief.
    
    Console access for humans should be read-only in production by default. Write access exists for
    emergencies, is time-bound, and is logged — see `security:access-and-identity` for the policy this
    implements.
    
    ## Environments that mean something
    
    Separate environments by blast radius, not by name. Separate accounts or subscriptions give a hard
    boundary; separate namespaces in one account give a soft one that a misconfigured permission
    crosses.
    
    Production data does not belong in lower environments. Where realistic data is needed, mask or
    synthesize it — a copied production database is a breach waiting for a misconfigured bucket, and it
    is one of the most common ways personal data escapes.
    
    ## Networking and isolation
    
    Default deny, then open what is needed. Public exposure should be a deliberate, reviewable act rather
    than the residue of a default.
    
    Keep the trust boundary explicit and few: what is reachable from the internet, what is reachable
    between services, what reaches data stores. Most cloud incidents are not exotic — they are a storage
    bucket, a database, or a management interface that was reachable and should not have been.
    
    ## Scaling and failure
    
    Scale horizontally where you can and know your actual limits — the database connection ceiling, the
    third-party rate limit, the single-threaded component nobody remembers. Autoscaling in front of a
    hard downstream limit converts a slow system into an outage.
    
    Design for the failure of a single instance and a single zone as routine. Region failure is a
    business continuity decision with a real price attached, made with
    `operations:business-continuity-and-resilience` rather than assumed by engineering.
    
    ## Cost
    
    Cost is an architectural property. Attribute spend by team and workload from the start; without
    tagging, cost becomes an unattributable aggregate that only ever gets addressed in a panic.
    
    The usual large wins are unglamorous: idle non-production resources, over-provisioned instances,
    storage nobody deleted, and cross-zone data transfer nobody accounted for.
    
    ## Sources
    
    `references/sources.md` in this skill lists the outside authorities that settle the questions
    here — what each one is authoritative for, and what you may do with it. Check them before
    answering on anything they cover, and cite what you used. Most are free to read and not free
    to reproduce; the use note on each is binding.
    
    ## Tooling
    
    Platforms: AWS, Google Cloud, Microsoft Azure, and similar; managed application platforms —
    Fly.io, Render, Vercel, Railway — remove most of this work and are the right answer more often than
    engineering pride admits.
    
    Orchestration where you need it: Kubernetes with a managed control plane, or a container service
    like ECS. Kubernetes is a platform team's worth of work; adopt it when you have the team.
    
    Infrastructure as code and secrets: Terraform, OpenTofu, Pulumi, and similar, with secrets in a
    managed store rather than in the state file. `it-operations:cloud-administration` covers the
    corporate cloud estate, which is a different problem with overlapping tools.
    
    ## Never
    
    - Make a production change by hand that is not reflected in code.
    - Put production data in a lower environment unmasked.
    - Autoscale a tier in front of a hard downstream limit.
    - Run without cost attribution until the bill forces it.
    

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