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antigravityDocument Processing

devops-deploy

DevOps e deploy de aplicacoes — Docker, CI/CD com GitHub Actions, AWS Lambda, SAM, Terraform, infraestrutura como codigo e monitoramento.

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Documentation

DEVOPS-DEPLOY — Da Ideia para Producao

Overview

DevOps e deploy de aplicacoes — Docker, CI/CD com GitHub Actions, AWS Lambda, SAM, Terraform, infraestrutura como codigo e monitoramento. Ativar para: dockerizar aplicacao, configurar pipeline CI/CD, deploy na AWS, Lambda, ECS, configurar GitHub Actions, Terraform, rollback, blue-green deploy, health checks, alertas.

When to Use This Skill

  • When you need specialized assistance with this domain

Do Not Use This Skill When

  • The task is unrelated to devops deploy
  • A simpler, more specific tool can handle the request
  • The user needs general-purpose assistance without domain expertise

How It Works

"Move fast and don't break things." — Engenharia de elite nao e lenta. E rapida e confiavel ao mesmo tempo.

Dockerfile Otimizado (Python)

FROM python:3.11-slim AS builder
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir --user -r requirements.txt

FROM python:3.11-slim
WORKDIR /app
COPY --from=builder /root/.local /root/.local
COPY . .
ENV PATH=/root/.local/bin:$PATH
ENV PYTHONUNBUFFERED=1
EXPOSE 8000
HEALTHCHECK --interval=30s --timeout=3s CMD curl -f http://localhost:8000/health || exit 1
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

Docker Compose (Dev Local)

version: "3.9"
services:
  app:
    build: .
    ports: ["8000:8000"]
    environment:
      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
    volumes:
      - .:/app
    depends_on: [db, redis]
  db:
    image: postgres:15
    environment:
      POSTGRES_DB: auri
      POSTGRES_USER: auri
      POSTGRES_PASSWORD: ${DB_PASSWORD}
    volumes:
      - pgdata:/var/lib/postgresql/data
  redis:
    image: redis:7-alpine
volumes:
  pgdata:

Sam Template (Serverless)


## Template.Yaml

AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31

Globals:
  Function:
    Timeout: 30
    Runtime: python3.11
    Environment:
      Variables:
        ANTHROPIC_API_KEY: !Ref AnthropicApiKey
        DYNAMODB_TABLE: !Ref AuriTable

Resources:
  AuriFunction:
    Type: AWS::Serverless::Function
    Properties:
      CodeUri: src/
      Handler: lambda_function.handler
      MemorySize: 512
      Policies:
        - DynamoDBCrudPolicy:
            TableName: !Ref AuriTable

  AuriTable:
    Type: AWS::DynamoDB::Table
    Properties:
      TableName: auri-users
      BillingMode: PAY_PER_REQUEST
      AttributeDefinitions:
        - AttributeName: userId
          AttributeType: S
      KeySchema:
        - AttributeName: userId
          KeyType: HASH
      TimeToLiveSpecification:
        AttributeName: ttl
        Enabled: true

Deploy Commands


## Build E Deploy

sam build
sam deploy --guided  # primeira vez
sam deploy           # deploys seguintes

## Deploy Rapido (Sem Confirmacao)

sam deploy --no-confirm-changeset --no-fail-on-empty-changeset

## Ver Logs Em Tempo Real

sam logs -n AuriFunction --tail

## Deletar Stack

sam delete

.Github/Workflows/Deploy.Yml

name: Deploy Auri

on: push: branches: [main] pull_request: branches: [main]

jobs: test: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - uses: actions/setup-python@v5 with: { python-version: "3.11" } - run: pip install -r requirements.txt - run: pytest tests/ -v --cov=src --cov-report=xml - uses: codecov/codecov-action@v4

security: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - run: pip install bandit safety - run: bandit -r src/ -ll - run: safety check -r requirements.txt

deploy: needs: [test, security] if: github.ref == 'refs/heads/main' runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - uses: aws-actions/setup-sam@v2 - uses: aws-actions/configure-aws-credentials@v4 with: aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} aws-region: us-east-1 - run: sam build - run: sam deploy --no-confirm-changeset - name: Notify Telegram on Success run: | curl -s -X POST "https://api.telegram.org/bot${{ secrets.TELEGRAM_BOT_TOKEN }}/sendMessage"
-d "chat_id=${{ secrets.TELEGRAM_CHAT_ID }}"
-d "text=Auri deployed successfully! Commit: ${{ github.sha }}"


---

## Health Check Endpoint

```python
from fastapi import FastAPI
import time, os

app = FastAPI()
START_TIME = time.time()

@app.get("/health")
async def health():
    return {
        "status": "healthy",
        "uptime_seconds": time.time() - START_TIME,
        "version": os.environ.get("APP_VERSION", "unknown"),
        "environment": os.environ.get("ENV", "production")
    }

Alertas Cloudwatch

import boto3

def create_error_alarm(function_name: str, sns_topic_arn: str):
    cw = boto3.client("cloudwatch"

Use Cases

  • When you need specialized assistance with this domain

Quick Info

Source
antigravity
Category
Document Processing
Repository
View Repo
Scraped At
Mar 8, 2026

Tags

pythonapiclaudeaiworkflowtemplatedocumentimagesecuritydocker

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