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Epic Deployment

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epicweb-dev
epic-deployment

Guide on deployment with Fly.io, multi-region setup, and CI/CD for Epic Stack

Overview

Publisherepicweb-dev
Repositoryepic-stack
Skill nameepic-deployment
Stars
5.5K
Forks
461
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by epicweb-dev on GitHub. Read the source before you install it.

Installation

Install the Epic Deployment AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/epicweb-dev/epic-stack.git /tmp/epic-stack
mkdir -p .claude/skills
cp -r /tmp/epic-stack/docs/skills/epic-deployment .claude/skills/epic-deployment
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Epic Deployment in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Epic Deployment on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Epic Deployment is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Epic Stack: Deployment

When to use this skill

Use this skill when you need to:

  • Configure deployment on Fly.io
  • Setup multi-region deployment
  • Configure CI/CD with GitHub Actions
  • Manage secrets in production
  • Configure healthchecks
  • Work with LiteFS and volumes
  • Local deployment with Docker

Patterns and conventions

Fly.io Configuration

Epic Stack uses Fly.io for hosting with configuration in fly.toml.

Basic configuration:

toml
# fly.toml
app = "your-app-name"
primary_region = "sjc"
kill_signal = "SIGINT"
kill_timeout = 5

[build]
dockerfile = "/other/Dockerfile"
ignorefile = "/other/Dockerfile.dockerignore"

[mounts]
source = "data"
destination = "/data"

Primary Region

Configure primary region:

toml
primary_region = "sjc" # Change according to your location

Important: The primary region must be the same for:

  • primary_region en fly.toml
  • Region del volume data
  • PRIMARY_REGION en variables de entorno

LiteFS Configuration

Configuration in other/litefs.yml:

yaml
fuse:
  dir: '${LITEFS_DIR}'

data:
  dir: '/data/litefs'

proxy:
  addr: ':${INTERNAL_PORT}'
  target: 'localhost:${PORT}'
  db: '${DATABASE_FILENAME}'

lease:
  type: 'consul'
  candidate: ${FLY_REGION == PRIMARY_REGION}
  promote: true
  advertise-url: 'http://${HOSTNAME}.vm.${FLY_APP_NAME}.internal:20202'
  consul:
    url: '${FLY_CONSUL_URL}'
    key: 'epic-stack-litefs_20250222/${FLY_APP_NAME}'

exec:
  - cmd: npx prisma migrate deploy
    if-candidate: true
  - cmd: sqlite3 $DATABASE_PATH "PRAGMA journal_mode = WAL;"
    if-candidate: true
  - cmd: sqlite3 $CACHE_DATABASE_PATH "PRAGMA journal_mode = WAL;"
    if-candidate: true
  - cmd: npx prisma generate --sql
  - cmd: npm start

Healthchecks

Configuration in fly.toml:

toml
[[services.http_checks]]
interval = "10s"
grace_period = "5s"
method = "get"
path = "/resources/healthcheck"
protocol = "http"
timeout = "2s"
tls_skip_verify = false

Healthcheck implementation:

typescript
// app/routes/resources/healthcheck.tsx
export async function loader({ request }: Route.LoaderArgs) {
	const host =
		request.headers.get('X-Forwarded-Host') ?? request.headers.get('host')

	try {
		await Promise.all([
			prisma.$queryRaw`SELECT 1`, // Verify DB
			fetch(`${new URL(request.url).protocol}${host}`, {
				method: 'HEAD',
				headers: { 'X-Healthcheck': 'true' },
			}),
		])
		return new Response('OK')
	} catch (error) {
		console.log('healthcheck ❌', { error })
		return new Response('ERROR', { status: 500 })
	}
}

Environment Variables

Secrets in Fly.io:

bash
# Generate secrets
fly secrets set SESSION_SECRET=$(openssl rand -hex 32) --app [YOUR_APP_NAME]
fly secrets set HONEYPOT_SECRET=$(openssl rand -hex 32) --app [YOUR_APP_NAME]

# List secrets
fly secrets list --app [YOUR_APP_NAME]

# Delete secret
fly secrets unset SECRET_NAME --app [YOUR_APP_NAME]

Common secrets:

  • SESSION_SECRET - Secret for signing session cookies
  • HONEYPOT_SECRET - Secret for honeypot fields
  • DATABASE_URL - Automatically configured by LiteFS
  • CACHE_DATABASE_PATH - Automatically configured
  • RESEND_API_KEY - For sending emails (optional)
  • TIGRIS_* - For image storage (automatic)
  • SENTRY_DSN - For error monitoring (optional)

Volumes

Create volume:

bash
fly volumes create data --region sjc --size 1 --app [YOUR_APP_NAME]

List volumes:

bash
fly volumes list --app [YOUR_APP_NAME]

Expand volume:

bash
fly volumes extend <volume-id> --size 10 --app [YOUR_APP_NAME]

Multi-Region Deployment

Deploy to multiple regions:

bash
# Deploy in primary region (more instances)
fly scale count 2 --region sjc --app [YOUR_APP_NAME]

# Deploy in secondary regions (read-only)
fly scale count 1 --region ams --app [YOUR_APP_NAME]
fly scale count 1 --region syd --app [YOUR_APP_NAME]

Verify instances:

bash
fly status --app [YOUR_APP_NAME]
# The ROLE column will show "primary" or "replica"

Consul Setup

Attach Consul:

bash
fly consul attach --app [YOUR_APP_NAME]

Consul manages:

  • Which instance is primary
  • Automatic failover
  • Data replication

GitHub Actions CI/CD

Basic workflow:

yaml
# .github/workflows/deploy.yml
name: Deploy

on:
  push:
    branches: [main, dev]

jobs:
  deploy:
    name: Deploy
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: superfly/flyctl-actions/setup-flyctl@master
      - run: flyctl deploy --remote-only
        env:
          FLY_API_TOKEN: ${{ secrets.FLY_API_TOKEN }}

Complete configuration:

  • Deploy to production from main branch
  • Deploy to staging from dev branch
  • Tests before deploy (optional)

Deployable Commits

Following Epic Web principles:

Deployable commits - Every commit to the main branch should be deployable. This means:

  • The code should be in a working state
  • Tests should pass
  • The application should build successfully
  • No "WIP" or "TODO" commits that break the build

Example - Deployable commit workflow:

bash
# ✅ Good - Each commit is deployable
git commit -m "Add user profile page"
# This commit is complete, tested, and deployable

git commit -m "Fix login redirect bug"
# This commit fixes a bug and is deployable

# ❌ Avoid - Non-deployable commits
git commit -m "WIP: working on feature"
# This commit might not work, not deployable

git commit -m "Add feature (tests failing)"
# This commit breaks the build, not deployable

Benefits:

  • Easy rollback - any commit can be deployed
  • Continuous deployment - deploy any time
  • Clear history - each commit represents a working state
  • Faster recovery - can deploy any previous commit

Small and Short Lived Merge Requests

Following Epic Web principles:

Small and short lived merge requests - Keep PRs small and merge them quickly. Large PRs are hard to review, risky to merge, and slow down the team.

Guidelines:

  • Small PRs - Focus on one feature or fix per PR
  • Short-lived - Merge within a day or two, not weeks
  • Reviewable - PRs should be reviewable in 30 minutes or less
  • Independent - Each PR should be independently deployable

Example - Small, focused PR:

bash
# ✅ Good - Small, focused PR
# PR: "Add email validation to signup form"
# - Only changes signup validation
# - Includes tests
# - Can be reviewed quickly
# - Can be merged and deployed independently

# ❌ Avoid - Large, complex PR
# PR: "Refactor authentication system and add 2FA and OAuth"
# - Too many changes at once
# - Hard to review
# - Risky to merge
# - Takes days to review

Benefits:

  • Faster reviews - easier to understand and review
  • Lower risk - smaller changes are less risky
  • Faster feedback - get feedback sooner
  • Easier rollback - smaller changes are easier to revert
  • Better collaboration - team can work in parallel on different small PRs

When PRs get too large:

  • Split into multiple smaller PRs
  • Use feature flags to merge incrementally
  • Break down into logical pieces

Tigris Object Storage

Create storage:

bash
fly storage create --app [YOUR_APP_NAME]

This creates:

  • Tigris bucket
  • Automatic environment variables:
    • TIGRIS_ENDPOINT
    • TIGRIS_ACCESS_KEY_ID
    • TIGRIS_SECRET_ACCESS_KEY
    • TIGRIS_BUCKET_NAME

Database Migrations

Automatic migrations: Migrations are automatically applied on deploy via litefs.yml:

yaml
exec:
  - cmd: npx prisma migrate deploy
    if-candidate: true

Note: Only the primary instance runs migrations (if-candidate: true).

Database Backups

Create backup:

bash
# SSH to instance
fly ssh console --app [YOUR_APP_NAME]

# Create backup
mkdir /backups
litefs export -name sqlite.db /backups/backup-$(date +%Y-%m-%d).db
exit

# Download backup
fly ssh sftp get /backups/backup-2024-01-01.db --app [YOUR_APP_NAME]

Restore backup:

bash
# Upload backup
fly ssh sftp shell --app [YOUR_APP_NAME]
put backup-2024-01-01.db
# Ctrl+C to exit

# SSH and restore
fly ssh console --app [YOUR_APP_NAME]
litefs import -name sqlite.db /backup-2024-01-01.db
exit

Deployment Local

Deploy con Fly CLI:

bash
fly deploy

Deploy con Docker:

bash
# Build
docker build -t epic-stack . -f other/Dockerfile \
  --build-arg COMMIT_SHA=$(git rev-parse --short HEAD)

# Run
docker run -d \
  -p 8081:8081 \
  -e SESSION_SECRET='secret' \
  -e HONEYPOT_SECRET='secret' \
  -e FLY='false' \
  -v ~/litefs:/litefs \
  epic-stack

Zero-Downtime Deploys

Strategy:

  • Deploy to multiple instances
  • Automatic blue-green deployment
  • Healthchecks verify app is ready
  • Auto-rollback if healthcheck fails

Configuration:

toml
[experimental]
auto_rollback = true

Monitoring

View logs:

bash
fly logs --app [YOUR_APP_NAME]

View metrics:

bash
fly dashboard --app [YOUR_APP_NAME]
# Or visit: https://fly.io/apps/[YOUR_APP_NAME]/monitoring

Sentry (opcional):

bash
fly secrets set SENTRY_DSN=your-sentry-dsn --app [YOUR_APP_NAME]

Common examples

Example 1: Complete initial setup

bash
# 1. Create apps
fly apps create my-app
fly apps create my-app-staging

# 2. Configure secrets
fly secrets set \
  SESSION_SECRET=$(openssl rand -hex 32) \
  HONEYPOT_SECRET=$(openssl rand -hex 32) \
  --app my-app

fly secrets set \
  SESSION_SECRET=$(openssl rand -hex 32) \
  HONEYPOT_SECRET=$(openssl rand -hex 32) \
  ALLOW_INDEXING=false \
  --app my-app-staging

# 3. Create volumes
fly volumes create data --region sjc --size 1 --app my-app
fly volumes create data --region sjc --size 1 --app my-app-staging

# 4. Attach Consul
fly consul attach --app my-app
fly consul attach --app my-app-staging

# 5. Create storage
fly storage create --app my-app
fly storage create --app my-app-staging

# 6. Deploy
fly deploy --app my-app

Example 2: Multi-region setup

bash
# First region (primary) - 2 instances
fly scale count 2 --region sjc --app my-app

# Secondary regions - 1 instance each
fly scale count 1 --region ams --app my-app
fly scale count 1 --region syd --app my-app

# Verify
fly status --app my-app

Example 3: GitHub Actions workflow

yaml
# .github/workflows/deploy.yml
name: Deploy

on:
  push:
    branches: [main, dev]

jobs:
  deploy-production:
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: superfly/flyctl-actions/setup-flyctl@master
      - run: flyctl deploy --remote-only --app my-app
        env:
          FLY_API_TOKEN: ${{ secrets.FLY_API_TOKEN }}

  deploy-staging:
    if: github.ref == 'refs/heads/dev'
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: superfly/flyctl-actions/setup-flyctl@master
      - run: flyctl deploy --remote-only --app my-app-staging
        env:
          FLY_API_TOKEN: ${{ secrets.FLY_API_TOKEN }}

Example 4: Deploy with migrations

bash
# Create migration
npx prisma migrate dev --name add_field

# Commit and push
git add .
git commit -m "Add field"
git push origin main

# GitHub Actions automatically runs:
# 1. Build
# 2. Deploy
# 3. litefs.yml runs: npx prisma migrate deploy (only on primary)

Common mistakes to avoid

  • Non-deployable commits: Every commit to main should be deployable - no WIP or broken commits
  • Large, long-lived PRs: Keep PRs small and merge quickly - large PRs are hard to review and risky
  • Inconsistent primary region: Make sure primary_region in fly.toml matches the volume region
  • Secrets not configured: Configure all secrets before first deploy
  • Volume not created: Create the data volume before deploy
  • Consul not attached: Attach Consul before first deploy
  • Migrations on replicas: Only the primary instance should run migrations
  • Not using healthchecks: Healthchecks are critical for zero-downtime deploys
  • Deploy breaking changes without strategy: Use "widen then narrow" for migrations
  • Secrets in code: Never commit secrets, use fly secrets
  • Not making backups: Make regular database backups
  • FLY_API_TOKEN exposed: Never commit the token, only in GitHub Secrets

References

Preview Deployments (Inspired by Vercel Deploy Claimable)

Epic Stack can implement preview deployments similar to Vercel's deploy claimable pattern.

✅ Good - Preview deployments for pull requests:

yaml
# .github/workflows/preview-deploy.yml
name: Preview Deploy

on:
  pull_request:
    types: [opened, synchronize, reopened]

jobs:
  preview:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: superfly/flyctl-actions/setup-flyctl@master
      - name: Deploy preview
        run: |
          # Create or reuse preview app
          PREVIEW_APP="my-app-pr-${{ github.event.pull_request.number }}"
          flyctl apps list | grep "$PREVIEW_APP" || flyctl apps create "$PREVIEW_APP"

          # Deploy to preview app
          flyctl deploy --app "$PREVIEW_APP" --remote-only
        env:
          FLY_API_TOKEN: ${{ secrets.FLY_API_TOKEN }}
      - name: Comment preview URL
        uses: actions/github-script@v7
        with:
          script: |
            github.rest.issues.createComment({
              issue_number: context.issue.number,
              owner: context.repo.owner,
              repo: context.repo.repo,
              body: `🚀 Preview deployment: https://$PREVIEW_APP.fly.dev`
            })

✅ Good - Auto-cleanup preview deployments:

yaml
# .github/workflows/cleanup-preview.yml
name: Cleanup Preview

on:
  pull_request:
    types: [closed]

jobs:
  cleanup:
    runs-on: ubuntu-latest
    steps:
      - uses: superfly/flyctl-actions/setup-flyctl@master
      - name: Destroy preview app
        run: |
          PREVIEW_APP="my-app-pr-${{ github.event.pull_request.number }}"
          flyctl apps destroy "$PREVIEW_APP" --yes
        env:
          FLY_API_TOKEN: ${{ secrets.FLY_API_TOKEN }}

Environment Detection

✅ Good - Detect deployment environment:

typescript
// app/utils/env.server.ts
export function getDeploymentEnv():
	| 'production'
	| 'staging'
	| 'preview'
	| 'development' {
	if (process.env.NODE_ENV === 'development') {
		return 'development'
	}

	// Preview deployments
	if (process.env.FLY_APP_NAME?.includes('pr-')) {
		return 'preview'
	}

	// Staging environment
	if (process.env.FLY_APP_NAME?.includes('staging')) {
		return 'staging'
	}

	// Production
	return 'production'
}

✅ Good - Environment-specific configuration:

typescript
const env = getDeploymentEnv()

export const config = {
	production: env === 'production',
	staging: env === 'staging',
	preview: env === 'preview',
	development: env === 'development',

	// Preview deployments might have limited features
	features: {
		analytics: env === 'production',
		sentry: env !== 'development',
		indexing: env === 'production',
	},
}

Build Artifact Exclusion

✅ Good - Optimize Docker builds:

dockerfile
# other/Dockerfile
# Multi-stage build for smaller image size
FROM node:20-alpine AS base
WORKDIR /app

# Install dependencies
FROM base AS deps
COPY package*.json ./
RUN npm ci --only=production

# Build application
FROM base AS builder
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build

# Production image
FROM base AS runner
ENV NODE_ENV=production

# Copy only what's needed
COPY --from=deps /app/node_modules ./node_modules
COPY --from=builder /app/build ./build
COPY --from=builder /app/public ./public
COPY --from=builder /app/server ./server
COPY --from=builder /app/other ./other
COPY --from=builder /app/prisma ./prisma
COPY --from=builder /app/package.json ./

# Exclude unnecessary files
# node_modules/.cache, .git, etc. are already excluded via .dockerignore

CMD ["npm", "start"]

✅ Good - Docker ignore file:

dockerignore
# .dockerignore (in other/)
node_modules
.git
.env
.env.*
!.env.example
*.log
.DS_Store
coverage
.vscode
.idea
*.swp
*.swo
*~
.cache
dist
build

Deployment Status and Monitoring

✅ Good - Deployment status tracking:

typescript
// app/routes/admin/deployment-status.tsx
export async function loader({ request }: Route.LoaderArgs) {
	const deploymentInfo = {
		appName: process.env.FLY_APP_NAME,
		region: process.env.FLY_REGION,
		environment: getDeploymentEnv(),
		commitSha: process.env.COMMIT_SHA,
		deployedAt: process.env.DEPLOYED_AT,
	}

	return { deploymentInfo }
}

Rollback Strategies

✅ Good - Quick rollback with Fly.io:

bash
# List recent releases
fly releases list --app my-app

# Rollback to previous release
fly releases rollback --app my-app

✅ Good - Automated rollback on failure:

toml
# fly.toml
[experimental]
  auto_rollback = true
  min_machines_running = 1

Frequently asked questions

What does the Epic Deployment AI skill do?

Guide on deployment with Fly.io, multi-region setup, and CI/CD for Epic Stack

Why use Epic Deployment on TypingMind?

Because you install it once and use it with any model. Epic Deployment is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Epic Deployment in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/epicweb-dev/epic-stack/tree/main/docs/skills/epic-deployment. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Epic Deployment?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Epic Deployment?

As many as you like. As long as a model supports skills, you can use Epic Deployment with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Epic Deployment AI skill free?

Yes. It is published on GitHub by epicweb-dev under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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