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home / skills / pluginagentmarketplace / custom-plugin-devops / serverless

serverless skill

/skills/serverless

This skill helps you design, deploy, and optimize multi-cloud serverless architectures across AWS, Azure, and Google Cloud.

npx playbooks add skill pluginagentmarketplace/custom-plugin-devops --skill serverless

Review the files below or copy the command above to add this skill to your agents.

Files (8)
SKILL.md
833 B
---
name: serverless
description: Serverless computing with AWS Lambda, Azure Functions, Google Cloud Functions, and edge computing
sasmp_version: "1.3.0"
bonded_agent: 07-cloud-infrastructure
bond_type: PRIMARY_BOND
---

# Serverless Skill

## MANDATORY
- AWS Lambda fundamentals
- Azure Functions basics
- Google Cloud Functions
- Event-driven architecture patterns
- Cold start optimization

## OPTIONAL
- Vercel and Netlify Functions
- Cloudflare Workers (edge computing)
- Step Functions and orchestration
- API Gateway integration
- Serverless Framework

## ADVANCED
- Multi-cloud serverless strategies
- Custom runtimes and containers
- Performance tuning and provisioned concurrency
- Cost optimization techniques
- Serverless security best practices

## Assets
- See `assets/serverless-patterns.yaml` for function templates

Overview

This skill covers serverless computing across AWS Lambda, Azure Functions, Google Cloud Functions, and edge platforms. It focuses on event-driven design, cold-start mitigation, and practical deployment patterns for plugin development and CI/CD automation. The content supports developers and DevOps engineers building scalable, cost-effective serverless services. Advanced topics include multi-cloud strategies, custom runtimes, and security practices.

How this skill works

The skill inspects common serverless building blocks: functions, triggers, event sources, and API integrations. It guides on deployment automation, orchestration (step functions), and monitoring hooks needed for production systems. The material highlights performance tuning such as provisioned concurrency, cold-start optimization, and cost-control settings. Optional modules introduce edge functions and popular frameworks for templated deployments.

When to use it

  • Deploying short-lived, event-driven workloads without managing servers
  • Building APIs backed by functions with automatic scaling
  • Integrating asynchronous workflows and orchestration (Step Functions)
  • Optimizing startup latency for latency-sensitive endpoints
  • Prototyping multi-cloud or edge deployments for geographic coverage

Best practices

  • Design event-driven, single-responsibility functions to simplify scaling and testing
  • Use provisioned concurrency or keep-alive strategies only for latency-critical paths
  • Instrument functions with tracing and metrics for cold-start and performance visibility
  • Centralize secrets and IAM permissions; follow least-privilege access patterns
  • Automate CI/CD for function packaging, versioning, and rollbacks

Example use cases

  • Webhook processors for third-party integrations using AWS Lambda or Azure Functions
  • Cost-efficient scheduled ETL jobs running as cloud functions
  • API backends for plugins with API Gateway and function integrations
  • Edge-authenticating requests with Cloudflare Workers or Vercel functions
  • Orchestrated, serverless workflows handling retries and fan-out with Step Functions

FAQ

How do I reduce cold starts?

Use provisioned concurrency for critical functions, reduce package size, prefer native runtimes, and keep initialization light. For edge use-cases, choose lightweight worker platforms.

When should I pick serverless over containers?

Choose serverless for event-driven, short-lived tasks and unpredictable traffic. Use containers when you need long-running processes, custom OS-level dependencies, or finer control over networking and scaling.