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cloud-development

Plan and verify serverless deployments across dev, staging, and prod environments.

1|Updated May 15, 2026
Search Tags:#deployment#serverless#observability#iam#multi-region#cold-start#config-diff
One-click install
npx skills add https://github.com/Blaze-sports-Intel/uber-engineer --skill cloud-development
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cloud-development
Source: https://github.com/Blaze-sports-Intel/uber-engineer/tree/main/plugins/uber-engineer/skills/cloud-development
Command: npx skills add https://github.com/Blaze-sports-Intel/uber-engineer --skill cloud-development

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Cloud Development helps you design, configure, and release serverless systems across multiple environments while keeping security, observability, and operational confidence intact.

Core Features & Use Cases

  • Serverless multi-environment configuration: Create and review dev/staging/prod configuration diffs so releases promote cleanly without surprise behavior.
  • Least-privilege IAM for cloud workloads: Generate IAM policy (or equivalent) scoped to the minimum required actions and resources.
  • Operational readiness (observability + budgets + failover): Set budgets and alerts, validate cold-start performance constraints, and rehearse multi-region failover with clear RPO/RTO expectations.
  • Edge-runtime constraints & cold-start protection: Ensure handlers fit platform limits (e.g., no Node-only APIs, short timeouts) and remain within latency/cold-start budgets.

Quick Start

Ask the AI to design a serverless architecture for your workload on AWS Lambda (or another supported cloud), including dev/staging/prod environment diffs, least-privilege IAM, cold-start budget targets, and a multi-region failover plan with RPO/RTO.

Frequently Asked Questions about cloud-development

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the best way to plan production-grade serverless reliability across multiple cloud providers?▼

Planning production-grade serverless reliability involves choosing cloud and edge runtime options, scoping IAM, promoting environment config diffs, and setting failover readiness. This ensures reliable cross-cloud serverless deployment with validated cost and latency budgets.

How do I scope least-privilege IAM policies for serverless cloud workloads?▼

Scoping least-privilege IAM for serverless workloads involves generating policies restricted to the minimum required actions and resources. Prevent wildcard permissions to maintain strict security boundaries across AWS, GCP, and Azure deployments.

How do I validate cold-start latency budgets and edge-runtime constraints for serverless functions?▼

Validating cold-start latency budgets requires testing P99 cold-start performance against predefined targets. Ensure handlers fit edge-runtime platform limits, such as avoiding Node-only APIs and short timeouts, to remain within latency constraints.

Can I rehearse multi-region failover and set budget alerts for AWS, GCP, and Azure serverless platforms?▼

Yes, you can rehearse multi-region failover under region-down simulations with clear RPO/RTO expectations across AWS, GCP, and Azure. Wire budget alerts and run synthetic spike testing to validate operational readiness for serverless platforms.

What is the best way to plan production-grade serverless reliability across multiple cloud providers?▼

Planning production-grade serverless reliability involves choosing cloud and edge runtime options, scoping IAM, promoting environment config diffs, and setting failover readiness. This ensures reliable cross-cloud serverless deployment with validated cost and latency budgets.

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