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ProductEcho Engineering Library

Deployment, explained from code to cloud.

21 practical guides on monorepos, AWS, containers, databases, release safety, and shipping AI-built applications. Each one starts with the problem and shows a concrete path forward.

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Databases, security, and release safety

Guides

Dockerfile vs Buildpacks: Which Should Deploy Your App?

Compare automatic runtime detection with an explicit container recipe, and learn when to switch.

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Guides

Connect a Production App to PostgreSQL Safely

Use a connection URL, TLS, pooling, migrations, and least-privilege credentials without leaking database secrets.

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Guides

Database Migrations Without Breaking a Rolling Deploy

Use expand-and-contract changes so old and new application versions can coexist during a release.

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Guides

Environment Variables and Secrets in Production

Separate build-time public values from runtime credentials and prevent accidental exposure in logs, images, and Git.

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Guides

Readiness vs Liveness: Health Checks That Actually Help

Know which failures should stop traffic and which failures should restart a process.

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Guides

Custom Domains, DNS, and HTTPS for a New App

Understand DNS records, TLS certificates, and the verification steps that make a deploy reachable by name.

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Guides

Why a Deployment Returns 502 Bad Gateway

Trace a failed proxy-to-app connection through process startup, port binding, health, timeouts, and logs.

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Guides

Staging vs Production: What Should Be Separate?

Design environments that catch release failures without sharing credentials or corrupting live data.

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Guides

What Does It Cost to Deploy a Small Full-Stack App?

Estimate compute, database, storage, network, logs, and idle capacity before choosing a cloud path.

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Guides

Background Jobs and Cron in a Deployed Web App

Move slow work off the request path and prevent duplicate scheduled tasks when your app has multiple replicas.

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Guides

Cursor Integrations for Team AI App Development

Understand Cursor extensions, rules, and MCP tools, then choose integrations by workflow, permission scope, and verifiable results.

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Guides

How to Deploy AI Copilot Apps Securely

Learn how to deploy AI copilot applications securely with production-ready hosting, environment separation, secret management, access controls, protected databases, and reproducible deployments.

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Guides

How to Evaluate a Platform for AI-Generated Code

Test build, runtime, data, delivery, and access controls with a real app and a deliberate failure drill.

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Guides

How to Launch AI Prototypes as Live SaaS

Learn how to turn AI-generated prototypes into live SaaS products with production-ready architecture, PostgreSQL, secure environments, repeatable deployment, and minimal infrastructure work.

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Documentation

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