Modern Cloud-Native Serverless Framework on AWS — 2026

An opinionated, enterprise-grade framework for building cloud-native serverless applications on AWS. It is a decision framework, not just documentation: it tells you what to build with, how to structure code, how to deploy safely, how to govern at scale, and how to develop with AI.

Published site: the documentation is built with Zensical and published to GitHub Pages via .github/workflows/docs.yml. The canonical source for every chapter lives in docs/ — start at docs/index.md.

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Repository Layout

cloud-native-framework/
├── docs/                 # ← single source of truth (all chapters + index.md)
│   ├── index.md          # navigation hub with diagrams and "start here" guide
│   └── NN-*.md           # 35 chapters
├── zensical.toml         # site config + authoritative navigation ordering
├── .github/workflows/    # docs.yml → builds docs/ and deploys to GitHub Pages
└── README.md             # this file

The chapter files live only in docs/. Edit them there — the site build (zensical build) consumes docs/ exclusively.

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Read It Locally

pip install zensical
zensical serve       # hot-reload preview at http://localhost:8000
zensical build       # static site → site/

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The Framework at a Glance

The chapters below follow the curated learning path defined in zensical.toml. Every link points into docs/.

Principles & Patterns

Chapter	Focus
Architecture Principles	16-Factor App, Well-Architected, cell-based, core 2026 principles
Software Architecture Patterns	Hexagonal, DDD, CQRS, vertical slice
Platform Engineering Guidelines	Platform-as-product, golden paths, DX metrics, maturity model
Platform Engineering: IDP → ADP	Agentic developer platform evolution, core paths
AI-SDLC (Agentic Lifecycle)	AWS AI-DLC, Kiro/ThothCTL, 5-layer reference architecture
DevOps & CI/CD (TPF)	Ten Pillars, trunk-based + progressive delivery, DORA
Testing Strategy	Serverless testing pyramid, contract, chaos, load
APIOps Model	Contract-first API lifecycle, OpenAPI/AsyncAPI/GraphQL governance
Data Strategy	Cell data ownership, data mesh, data contracts

Infrastructure

Chapter	Focus
Compute Layer	Lambda, Step Functions, ECS/Fargate, decision matrix
Infrastructure as Code	CDK v2 + Express, SAM, SST — post-Express comparison
CloudFormation Express	Express-mode mechanics, benchmarks, per-tool impact
API & Event Patterns	API Gateway, AppSync, EventBridge composition
Data Layer	DynamoDB, Aurora Serverless v2, ElastiCache/Valkey, S3 Express
Frontend & Full-Stack	Amplify Gen 2, SST v3, CloudFront/edge
AI/ML Integration	Bedrock, AgentCore, Strands SDK, RAG

Operations & Governance

Chapter	Focus
Observability	OpenTelemetry/ADOT, Powertools, Application Signals, SLOs
Security Baseline	Defense-in-depth, zero-trust, AI security, secrets
Multi-Account Landing Zone	Control Tower, SCPs, RCPs, networking, centralized logging
FinOps & Cost Governance	Tagging, service-level optimization, cost gates
Disaster Recovery & Continuity	RTO/RPO tiers, serverless DR patterns, failover runbooks
Ephemeral Environments & Concurrency	Per-dev / per-PR sandboxes, TTL cleanup, cost guardrails
Reference Architecture	Full-stack diagrams: e-commerce, SaaS, IoT
Recommendations	Recommended stack by application type

Adoption & Onboarding

Chapter	Focus
Adoption Roadmap	Framework comparison, staged roadmap, checklists
Developer Onboarding	Prerequisites, first-30-minutes, dev workflow

Intelligence & AI Brains

Chapter	Focus
Custom Intelligent AI Brains	Organizational learning-memory layer, AWS implementation, case studies
Team Topologies, Roles & Permissions	AI-era roles, decision tiers, RACI, IAM + Cedar

Workshops

Chapter	Focus
Workshop 0: Foundations	First Lambda + HTTP API with plain CDK — start here if new to IaC
Workshop: Serverless End-to-End	Full serverless app with AI-DLC + ThothCTL
Workshop: Enterprise CDK	Private constructs, CodeArtifact, Projen, RCPs
Workshop: ECS Backend	Containers on Fargate, ECS Express, Docker Compose → cloud
Workshop: CI/CD Phase 1	Team-level CDK Pipelines, canary, feature flags
Workshop: CI/CD Phase 2	Enterprise pipelines, DevOps/FinOps agents, SCPs + RCPs
Workshop: Micro-Frontends	Micro-frontends on CloudFront + S3 vs Amplify

Reference

Chapter	Focus
Glossary	Definitions of key terms across the framework, each linking to its chapter

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Getting Started

Your Goal	Start Here
New to AWS IaC — first deploy	Workshop 0: Foundations
Build a new serverless app	Workshop: Serverless End-to-End
Build a container-based backend	Workshop: ECS Backend
Set up enterprise CI/CD	Workshop: CI/CD Phase 1
Understand architecture decisions	Architecture Principles
Set up organizational governance	Workshop: Enterprise CDK

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Paradigm Shift: CloudFormation Express Mode (June 2026)

Express mode completes stack operations as soon as resource configuration is applied — without waiting for full stabilization — cutting deployment times by up to 4×. This closed the single biggest gap that pushed teams from CDK/SAM toward SST/Pulumi/Terraform, making the entire CloudFormation ecosystem competitive on speed.

Scenario	Standard Mode	Express Mode
SQS queue + DLQ	64 seconds	~10 seconds
Lambda delete (with ENI)	20–30 minutes	~10 seconds
CloudFront distribution	5–10 minutes	Sub-minute
VPC + Subnets + ALB	Minutes	Seconds (ARN/DNS returned immediately)

See CloudFormation Express for the deep dive and Infrastructure as Code for how it reshapes tool selection.

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Contributing

• Edit chapters in docs/ only — never re-create root copies.
• Keep the navigation in zensical.toml and the index in docs/index.md in sync when adding or renaming a chapter.
• Prefer Zensical's auto-generated table of contents over hand-maintained in-page TOCs.
• Preview locally with zensical serve before opening a pull request.