Rain Lag

The Half-Hour Release Drill: A Tiny Practice That Makes Shipping Code Feel Boring (In a Good Way)

How a simple 30-minute release drill, backed by a checklist, automation, and feature flags, can turn stressful deployments into routine, low-risk habits—even on your side projects.

Introduction

Most developers don’t fear writing code. They fear releasing it.

Production deploys have a reputation: late nights, Slack on fire, a half-dozen dashboards open, and that sick feeling in your stomach when something goes wrong. So you delay. You batch more changes. You wait for the “right” moment. And then your next release is even bigger and even scarier.

There’s a better way.

This post is about a simple habit: The Half-Hour Release Drill. It’s a 30-minute practice, done regularly, that makes shipping code feel boring—in the best possible way. No drama, no heroics, just small, safe, repeatable releases.

We’ll cover:

  • How to create a concise, repeatable release checklist
  • Why you should shorten the time from commit to production
  • The mindset shift of CD: any commit might go live
  • How to use feature toggles to safely commit unfinished work
  • Why you should practice DevOps and CD on side projects
  • How tools like Docker, GitHub Actions, and a simple cloud host make all of this practical

What Is the Half-Hour Release Drill?

The Half-Hour Release Drill is a deliberate practice you run on a schedule—say, twice a week or even daily:

  1. Take the current main branch.
  2. Walk through your release checklist.
  3. Ship it to production (or a production-like environment).
  4. Verify, monitor, and wrap up—all within about 30 minutes.

The goal isn’t to move fast for its own sake; it’s to make releases small, predictable, and routine. Over time, this:

  • Shrinks the blast radius of each change
  • Builds organizational confidence in your pipeline
  • Trains your brain to see deployment as normal work, not a special event

Think of it like fire drills for your code: you practice when it’s calm so you know exactly what to do when it’s not.


Step 1: Make a Tiny, Repeatable Release Checklist

Stressful releases often come from improvisation: “Did anyone run the migrations? Did we update the env vars? Who’s watching logs?”

Fix this with a concise, repeatable release readiness checklist. It should be short enough that you actually use it and detailed enough to catch the usual mistakes.

Example checklist:

Before release:

  • All changes merged to main and CI is green
  • Version number or release tag created
  • Database migrations written, reviewed, and tested locally
  • Feature flags configured for new features
  • Changelog or release notes updated

During release:

  • Deploy application (trigger pipeline or run deploy script)
  • Apply migrations
  • Smoke test core flows (login, key API calls, main user path)

After release:

  • Check monitoring/alerts for 10–15 minutes
  • Confirm error rates and latency look normal
  • Close release with a brief log or note (what changed, any follow-ups)

The exact items will vary, but the key is consistency. When the checklist is boring and familiar, releases become boring and familiar too.


Step 2: Shorten the Path from Commit to Production

If it takes half a day to release, you’ll naturally batch more work. That leads to big, risky releases and painful rollbacks.

Instead, optimize for speed and smallness:

  • Aim for a world where most commits can be in production within an hour, and your Half-Hour Release Drill is the last mile.
  • Keep each release small—ideally just a handful of commits. If a release goes wrong, you know exactly where to look.

Why this matters:

  • Risk drops: Fewer changes = fewer unknowns.
  • Debugging is easier: You can tie issues to specific commits.
  • Feedback loops tighten: You find out quickly if your changes actually help users.

Your drill enforces this rhythm. If you know you’re deploying every day (or multiple times a week), you naturally design work to fit that cadence.


Step 3: Adopt the CD Mindset—Any Commit Might Go Live

In a continuous delivery (CD) environment, every commit is potentially shippable.

This is a mental shift:

  • No more “I’ll clean that up later; it’s just in a feature branch.”
  • No more “I pushed to main but it’s not going live for weeks anyway.”

Instead, you assume:

If it’s on main, it might be in front of users today.

That assumption changes how you work:

  • You keep main steady and green at all times.
  • You write migration-safe database changes (expand–migrate–contract rather than destructive changes in one go).
  • You slice features into incremental, deployable steps.

The Half-Hour Release Drill reinforces this mindset by regularly turning main into reality. There’s a tight, predictable link between what you commit and what users get.


Step 4: Use Feature Toggles to Commit Unfinished Work Safely

One objection to CD is: “But my feature isn’t done yet—how can I commit it?”

Answer: feature toggles (aka feature flags).

Feature toggles let you:

  • Merge unfinished work into main
  • Keep it hidden from end users
  • Gradually turn it on for internal testers, a small percentage of users, or everyone

Typical patterns:

  • Boolean flag: A simple on/off switch.
  • Gradual rollout: Enable for 1%, 10%, 50%, 100% of users.
  • Per-segment flags: Turn on by region, customer group, or plan.

Example (pseudo-code):

if (featureFlags.newCheckoutFlowEnabled(user)) { renderNewCheckout(); } else { renderOldCheckout(); }

With flags, your Half-Hour Release Drill doesn’t wait for “completely done” features. You ship small, incremental slices behind toggles, turning them on when you’re ready.

Flags also make rollbacks more flexible—you can often disable a flag instead of rolling back a whole deployment.


Step 5: Practice DevOps and CD on Your Side Projects

You don’t need a big team or a massive system to do this. In fact, side projects are the perfect training ground.

Treat your tiny app like a “real” product:

  • Give it a release checklist, even if it’s just three items.
  • Set up a basic CI/CD pipeline.
  • Run a Half-Hour Release Drill weekly or daily.

Benefits:

  • You build muscle memory for releases without production pressure.
  • You experiment with tools and patterns you might later use at work.
  • You avoid the all-too-common “it works locally but I never actually deploy it” trap.

Over time, your personal habits become professional strengths. When you join or influence a team, you already know what a healthy release process looks like.


Step 6: Automate the Pipeline with Simple, Modern Tools

To make releases fast and predictable, automate everything you reasonably can. You don’t need a huge platform team to do this.

A minimal but powerful setup might look like:

1. Docker for Consistent Builds

Use Docker to package your app and runtime together.

  • Same image in dev, test, and production
  • Easier debugging: “It runs in the container” is clearer than “It works on my machine”

Example Dockerfile (very simplified):

FROM node:22-alpine WORKDIR /app COPY package*.json ./ RUN npm ci COPY . . RUN npm run build CMD ["npm", "start"]

2. GitHub Actions for CI/CD

Use GitHub Actions (or a similar service) to:

  • Run tests on every push
  • Build your Docker image
  • Push to a registry
  • Deploy to your host on merges to main

A basic workflow (conceptually):

on: push: branches: [ main ] jobs: build-and-deploy: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - uses: actions/setup-node@v4 with: node-version: '22' - run: npm ci && npm test - run: docker build -t my-app:latest . - run: ./deploy.sh

The exact details vary, but the principle is consistent: one push triggers a full, repeatable pipeline.

3. A Simple Cloud Host

You don’t need Kubernetes to practice good releases. Start with:

  • A managed container platform (Fly.io, Render, Railway, Heroku-like services)
  • Or a single VM with a small script that pulls the latest image and restarts the container

The important part is that deployment is a command or pipeline step, not a series of manual clicks.

When your tools are wired together like this, your Half-Hour Release Drill becomes almost mechanical: verify, tag, trigger, monitor, done.


Putting It All Together: A Sample 30-Minute Drill

Here’s how a typical Half-Hour Release Drill might look in practice:

Minute 0–5

  • Review what’s on main
  • Confirm CI is green
  • Skim the diff to understand what’s going out

Minute 5–10

  • Bump version or create a tag
  • Ensure feature flags are set correctly (new features default off if unfinished)
  • Trigger the deployment pipeline

Minute 10–20

  • Wait for build/deploy to complete
  • Run smoke tests: key UI flows or API endpoints

Minute 20–30

  • Watch logs and monitoring
  • Check for errors, latency spikes, or odd behavior
  • Document the release briefly (what changed, anything to watch)

Repeat this cadence regularly until it feels almost dull. That “dullness” is a sign you’ve turned chaotic releases into ordinary routine.


Conclusion

Releases don’t have to be dramatic. With a short checklist, a fast path from commit to production, feature toggles, and basic automation, you can turn deployments into something you barely think about.

The Half-Hour Release Drill is your practice field:

  • You learn to ship small, frequent, low-risk changes.
  • You adopt the CD mindset that any commit might go live.
  • You build habits on side projects that carry into your professional work.

Over time, you stop fearing “the big deploy.” Shipping code becomes just another part of your day—boring, in a very good way.

And once releases are boring, you’re free to focus your energy where it matters: building things users actually love.

The Half-Hour Release Drill: A Tiny Practice That Makes Shipping Code Feel Boring (In a Good Way) | Rain Lag