Duration : 3 Months ( 45 Classes )

What kind of projects will we do?

1. AWS, Azure for Laravel( you don’t need a credit card for that) 

2. Docker Hub & Portainer

3. Kubernetes

4. DataDog

5. Github Action

6. Laravel Serverless

7. PaaS and Functions

8. Live Projects

9. Hands-On AWS and Azure Laravel Project (You don’t need a credit card for that) 

10. Building pipelines

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

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

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

• Domain
• HTTPS

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

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

• 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

• 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

• 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

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

Kubernetes

• 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
  • timeout seconds
• 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 & docker cli
• Monitoring the cluster

• 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

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

• Load balancers from scratch
• Terraform
• HELM
• Implementing an auto-scaler from scratch
• How to choose a cluster size
• Grafana Cloud
• System design of an uptime service