DevOps with Laravel Table of Contents

devops-with-laravel-toc.md

Topics coming in the next edition:

• ✅ Load balancers from scratch (published on 10th of October)
• ✅ Terraform (published on 12th of November)
• HELM

Fundamentals - 208 pages (Basic package)

Building a pipeline

nginx

• Serving static content
• CGI, FastCGI, php-fpm
• CGI
• FastCGI
• php-fpm
• nginx and PHP
• nginx and Vue
• Combined nginx config

Deployment

• Deploy script
• Deploying from a pipeline
• Provisioning new servers

Queues and workers

• supervisor
• Multiple queues and priorities
• Deploying workers
• Optimizing worker processes

Domains and HTTPS with nginx

• Domain
• HTTPS

Optimization

• nginx worker processes and connections
• fpm processes
• opcache
• gzip
• HTTP2
• TLS1.3
• nginx cache
• Caching static content
• Caching fastcgi responses

Backups and restore

• AWS S3
• spatie/laravel-backup
• Restore script

Docker

• The basics in theory
• The basics in practice
• Overview of the application
• Dockerizing a Laravel API
• Dockerizing a Vue app
• Dockerizing a scheduler and a worker

docker-compose

• Frontend

• API

• Databases

• Migrations

• nginx

• Reverse proxy

• Scheduler and worker

• supervisor

• Custom built images for MySQL and nginx

• Building images in a pipeline

• Optimizing the pipeline

  • Docker layers
  • Back to the pipeline

• Production-ready docker-compose

  • Docker named volumes vs bind mounts

• Deployment

  • Deploy script
  • Deploying from a pipeline
  • Provisioning new servers
  • update service
  • Restore
  • Rollback
  • Automatic image updates

• GitFlow

  • Pushing to develop or main
  • Opening a PR to main
  • Opening a PR to develop (feature branches)
  • Reusing jobs (composite actions)

• Final touches

  • Frontend, nginx, and proxy
  • Worker & Scheduler

• Limitations of docker-compose

Docker Swarm - 75 pages (Plus package)

• State
• Basic concepts
• Workers, managers, and leaders
• Creating a cluster
• Application-level changes
• Deploying a stack
• Service placements
• Scaling services
  • API and nginx
  • Worker
  • Visualizing the cluster
  • Protecting the databases
  • Protecting user-facing service
  • Ingress routing mesh
• Health checks
• Restarting services
• Updating services
• Rolling back services
• Deployment
  • Deploying from a pipeline
  • Update service
  • Provisioning nodes

Monitoring and error tracking

• Uptime
  • Uptime robot
  • DigitalOcean
• Health check monitors
  • Health checks in a cluster
• Server resource alerts
• Error tracking

Kubernetes - 77 pages (Premium package)

• Introduction
• Basic concepts
  • Pod
  • ReplicaSet
  • Deployment
• Creating a cluster
• Managed databases
• Deploying a Laravel API
  • Configuring the deployment
  • Configs and secrets
  • Applying the deployment
  • Shortcuts
  • kubectl apply
• Deploying nginx
• Communication between nginx and FPM
• Deploying a worker
• Deploying a scheduler
• Deploying a frontend
• Running migrations in a cluster
• Caching configs
• Liveness and readiness probes
  • API probes
  • nginx probes
  • worker probes
  • frontend probes
  • timeoutSeconds
• Autoscaling pods
  • Metrics server
• Rolling update config
  • maxUnavailable
  • maxSurge
• Resource requests and limits
• Health check pods
• Exposing the application
  • Ingress
  • Ingress controller & load balancer
  • Domain & HTTPS
• Deploying the cluster from a pipeline
  • Secrets
  • Image versions
  • Ship it
  • kubectl & doctl
• Monitoring the cluster

Serverless - 29 pages (Premium package)

• Introduction
• Platform-as-a-service
• Serverless functions
• The architecture of a code review tool
  • Overview
  • Webhook
  • Scheduler
  • Adding functions
• Serverless Laravel on AWS
  • The serverless framework
  • bref

Load balancers from scratch - 18 pages (Premium package)

• The basics of load balancers
• nginx as a load balancer
• Managed load balancers
• Load balancing with docker-compose
• Caching with a load balancer

Other ideas for future editions

• ✅ Load balancers from scratch
• Terraform
• HELM
• Implementing an autoscaler from sratch
• How to choose a cluster size
• Grafana Cloud
• System design of an uptime service