Bundle Featured

Automate Code Delivery Pipeline

Build a reliable DevOps pipeline with GitLab, Cloudflare, Sentry, and Grafana for automated code delivery and monitoring.


91
Spark score
out of 100
Status Verified Official
Updated 4 months ago
Version 1.0.0
Models

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Why it matters

Establish a robust and automated DevOps pipeline for seamless code delivery, integrating essential tools for version control, CI/CD, monitoring, and security.

Outcomes

What it gets done

01

Set up GitLab CI/CD for automated builds and deployments.

02

Implement containerization using Docker and docker-compose.

03

Integrate Sentry and Grafana for comprehensive error and performance monitoring.

04

Configure Cloudflare for CDN, WAF, and DDoS protection.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-devops-pipeline | bash

Overview

DevOps Pipeline

What it does

This bundle provides a comprehensive set of AI assets for building a reliable DevOps pipeline. It includes GitLab for Git repositories and CI/CD, Cloudflare for CDN and protection, Sentry for error monitoring, and Grafana for metrics visualization. It also incorporates agents for research and test generation, along with skills for automation scripts and production environment setup.

How it connects

This bundle is ideal for DevOps engineers, developers, and tech leads aiming to establish automated code delivery. It's suitable for projects requiring continuous integration, automated deployments, robust error and performance monitoring, and secure content delivery with protection.

Source README

Who This Bundle Is For

For DevOps engineers, developers, and tech leads who want to build a reliable code delivery pipeline.

What's Included

MCP Servers

GitLab - Git repositories and CI/CD. Pipelines, code review, release management, container registry.

Cloudflare - CDN and protection. DNS, SSL certificates, WAF, Workers for edge computing.

Sentry - error monitoring. Exception tracking, performance monitoring, release tracking.

Grafana - metrics visualization. Dashboards, alerts, integration with Prometheus and other data sources.

Skills

Python Developer - automation scripts. CI/CD pipelines, deployment utilities.

Rails Developer - production environment setup. Dockerfile, docker-compose, Procfile.

Agents

Research Agent - best practices research. Configuration analysis, optimal solutions discovery.

Test Generator - testing automation. Unit tests, integration tests, e2e.

How to Use

  1. Set up GitLab CI/CD with Claude
  2. Create a Dockerfile and docker-compose.yml
  3. Connect monitoring via Sentry and Grafana
  4. Configure CDN and protection through Cloudflare

Example Prompt

Create a CI/CD pipeline for a Rails application:
- Stages: lint, test, build, deploy
- Docker images with multi-stage builds
- Deploy to production via GitLab CI
- Slack notifications on build failure

Pipeline Architecture

Commit → Lint → Test → Build → Deploy → Monitor → Alert
   ↓       ↓       ↓       ↓       ↓        ↓        ↓
 GitLab  RuboCop  RSpec  Docker  GitLab  Sentry   Slack
         ESLint  Jest    Image    CI     Grafana

Typical .gitlab-ci.yml

stages:
  - lint
  - test
  - build
  - deploy

lint:
  stage: lint
  script:
    - bundle exec rubocop
    - yarn lint

test:
  stage: test
  script:
    - bundle exec rspec
    - yarn test

build:
  stage: build
  script:
    - docker build -t $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA .
    - docker push $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA

deploy:
  stage: deploy
  script:
    - ./deploy.sh
  only:
    - main

Outcomes

  • Automatic deployment on every commit to main
  • Containerized application
  • Error and performance monitoring
  • CDN with DDoS protection

Bundle Contents

This bundle includes: 4 MCP servers, 2 skills, 2 agents

Discussion

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