Docker, CI/CD, Vercel & Production Delivery
Package, verify, release, deploy, observe, and roll back TaskFlow as a production system.
Docker Mental Model
Here’s the simple reason this matters: An image is an immutable filesystem/runtime template; a container is a running isolated process created from that image. Containers still use ordinary processes, files, ports, and networks. In this course, we connect it directly to containers, CI/CD, Vercel, production release, smoke testing, and rollback, so you can see where the idea lives in a real project instead of memorizing a definition.
First Dockerfile
Here’s the simple reason this matters: This lesson is about First Dockerfile. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that the simple image can run the app but deliberately leaves optimization/security improvements for later lessons. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Build Context and .dockerignore
Here’s the simple reason this matters: This lesson is about Build Context and .dockerignore. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that unneeded local artifacts and secrets are excluded from the build context before Docker sends files to the builder. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Layers and Cache
Here’s the simple reason this matters: This lesson is about Layers and Cache. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that dependency installation can stay cached when application source changes but dependency manifests do not. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Multi-Stage Build
Here’s the simple reason this matters: This lesson is about Multi-Stage Build. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that build tools remain in the build stage while the runtime stage receives only artifacts needed to start the API. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Non-Root Runtime
Here’s the simple reason this matters: This lesson is about Non-Root Runtime. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that the application process no longer runs as root inside the container. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Runtime Environment Variables
Here’s the simple reason this matters: This lesson is about Runtime Environment Variables. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that secrets/config are supplied when the container starts rather than baked into the image layer history. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Health Checks
Here’s the simple reason this matters: This lesson is about Health Checks. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that the runtime can report whether the application process is responding, though platform readiness may need a dependency-aware endpoint too. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Docker Compose
Here’s the simple reason this matters: This lesson is about Docker Compose. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that compose describes a repeatable local multi-container application topology. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Container Networking
Here’s the simple reason this matters: Inside a container, `localhost` means that container itself. Containers on the same Compose network reach each other by service name. In this course, we connect it directly to containers, CI/CD, Vercel, production release, smoke testing, and rollback, so you can see where the idea lives in a real project instead of memorizing a definition.
API + PostgreSQL Compose Lab
Here’s the simple reason this matters: This lesson is about API + PostgreSQL Compose Lab. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that the local stack starts, the host can reach the published API port, logs are inspectable, and PostgreSQL is reachable inside the Compose network. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
GitHub Actions Triggers
Here’s the simple reason this matters: This lesson is about GitHub Actions Triggers. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that pull requests run verification before merge and pushes to main can drive post-merge/release automation. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Jobs and Runners
Here’s the simple reason this matters: A GitHub Actions job is a set of steps scheduled on a runner. The runner is the machine that actually checks out code and executes those commands. In this course, we connect it directly to containers, CI/CD, Vercel, production release, smoke testing, and rollback, so you can see where the idea lives in a real project instead of memorizing a definition.
Deterministic pnpm Install
Here’s the simple reason this matters: This lesson is about Deterministic pnpm Install. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that cI uses the declared package-manager version and refuses to silently rewrite an outdated lockfile. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Lint, Typecheck, Test, Build
Here’s the simple reason this matters: This lesson is about Lint, Typecheck, Test, Build. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that separate quality-gate steps make the failing category obvious in CI logs. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Workflow Permissions
Here’s the simple reason this matters: Workflow permissions define what the GitHub token used by a job is allowed to do. Start read-only and grant only the capabilities a job needs. In this course, we connect it directly to containers, CI/CD, Vercel, production release, smoke testing, and rollback, so you can see where the idea lives in a real project instead of memorizing a definition.
CI Secrets
Here’s the simple reason this matters: This lesson is about CI Secrets. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that secrets enter only trusted jobs and are not committed, printed, or passed to untrusted execution contexts. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Artifacts
Here’s the simple reason this matters: This lesson is about Artifacts. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that a job can preserve generated reports or build output for later inspection/jobs without committing them to Git. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Concurrency
Here’s the simple reason this matters: CI concurrency controls overlapping workflow runs. It is especially useful for canceling obsolete preview/deploy runs when a newer commit supersedes them. In this course, we connect it directly to containers, CI/CD, Vercel, production release, smoke testing, and rollback, so you can see where the idea lives in a real project instead of memorizing a definition.
Branch Protection
Here’s the simple reason this matters: This lesson is about Branch Protection. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that repository policy prevents unverified code from bypassing the quality gate. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Release Workflow
Here’s the simple reason this matters: This lesson is about Release Workflow. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that release is a repeatable pipeline with a known artifact and explicit verification, not a sequence of manual guesses. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Production Migration Step
Here’s the simple reason this matters: This lesson is about Production Migration Step. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that production applies already-reviewed migrations and verifies migration state instead of creating new migrations during deploy. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Deploy NestJS API
Here’s the simple reason this matters: This lesson is about Deploy NestJS API. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that the API deployment is successful only after the runtime is healthy and ready for traffic. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Deploy Next.js to Vercel
Here’s the simple reason this matters: This lesson is about Deploy Next.js to Vercel. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that vercel builds the documentation/web app from Git and production configuration is kept outside source code. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Production CORS
Here’s the simple reason this matters: CORS is a browser-enforced policy controlling whether frontend JavaScript from one origin may read responses from another origin. It is not authentication. In this course, we connect it directly to containers, CI/CD, Vercel, production release, smoke testing, and rollback, so you can see where the idea lives in a real project instead of memorizing a definition.
DNS and TLS
Here’s the simple reason this matters: This lesson is about DNS and TLS. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that users reach stable hostnames over valid TLS before application-layer authentication even begins. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Smoke Tests
Here’s the simple reason this matters: Smoke tests are a small set of high-value checks run after deployment to prove the released system is alive and its critical path works. In this course, we connect it directly to containers, CI/CD, Vercel, production release, smoke testing, and rollback, so you can see where the idea lives in a real project instead of memorizing a definition.
Post-Deploy Observation
Here’s the simple reason this matters: This lesson is about Post-Deploy Observation. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that a release remains under observation long enough to catch runtime regressions that build-time checks cannot reveal. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Rollback Runbook
Here’s the simple reason this matters: Rollback restores a known previous client state after an optimistic mutation fails. It works only if the prior state was captured before the optimistic write. In this course, we connect it directly to containers, CI/CD, Vercel, production release, smoke testing, and rollback, so you can see where the idea lives in a real project instead of memorizing a definition.
Post-Release Architecture Review
Here’s the simple reason this matters: This lesson is about Post-Release Architecture Review. Keep the idea practical: in containers, CI/CD, Vercel, and production delivery, the worked example should show that the team turns release evidence into concrete architectural/process improvements instead of adding tools by fashion. Once you can explain why that happens, the name is much easier to remember. We connect it to the course project so you can see the idea working instead of memorizing a definition.
Check the mental models before the project
Answer from memory. If two options sound similar, explain the boundary difference before choosing.