Docker Project :
A 2-tier project in the context of Docker Compose typically refers to a system architecture where the application is divided into two distinct layers or tiers: the application layer and the database layer.
2-Tier Architecture in Docker Compose
Tier 1: Application Layer – This is where the application code runs. It could be a web server, API server,
or a microservice. In the case of Docker, this would typically be a container that runs the application
code (e.g., Node.js, Python, or Java Spring Boot).
Tier 2: Database Layer – This is where the data is stored. It could be any database system such as MySQL,
PostgreSQL, or MongoDB. In Docker, this is typically another container running
the database system.
Kubernetes Project :
A Kubernetes 2-tier project with AWS and an Ingress controller involves setting up a Kubernetes cluster on
AWS using Amazon Elastic Kubernetes Service (EKS) or a self-managed EC2-based Kubernetes cluster,
while integrating it with a multi-tier application architecture. This type of project typically involves two layers: a backend tier (database or application logic layer) and a frontend tier (client-facing API or web application). The Ingress controller is used to manage external access to services within the Kubernetes cluster, routing traffic to the appropriate service.
Heres an overview of how you might design and implement such a project:
1. Kubernetes Cluster on AWS
AWS EKS: Use Amazon Elastic Kubernetes Service (EKS) to manage Kubernetes on AWS.
EKS simplifies the deployment and management of Kubernetes clusters, providing automatic
scaling and security.
EKS Cluster: Set up an EKS cluster using the AWS Management Console, AWS CLI, or Terraform. This
cluster can run in an Amazon VPC (Virtual Private Cloud) to ensure network isolation and
security.
Node Groups: Create node groups for the Kubernetes cluster (EC2 instances that run the Kubernetes worker
nodes). These nodes will run your application workloads.
IAM Roles and Policies: Configure IAM roles for the EKS cluster to access other AWS services like S3, RDS, or ECR.
2. 2-Tier Application Architecture
A typical 2-tier architecture includes:
Frontend Tier (Client-Facing Service):
This could be a React or Vue.js application, or a Node.js service, or any other frontend application that serves the client with data.
The frontend communicates with the backend via HTTP or HTTPS.
Backend Tier (Service Layer):
The backend could be an API (e.g., a REST API built in Python/Django, Java/Spring Boot, or Node.js).
The backend service interacts with a database (e.g., PostgreSQL or MySQL), often hosted in AWS RDS (Relational Database Service) or inside the Kubernetes cluster itself using StatefulSets and Persistent Volumes.
Database: The database could be hosted either externally (e.g., in AWS RDS) or within the Kubernetes cluster (using Persistent Volumes).
3. Ingress Controller
The Ingress controller is crucial for managing external traffic to your Kubernetes cluster. AWS provides
several ways to expose services, but using an Ingress Controller makes it easier to manage traffic routing.
Terraform Project :
Project 1 : End to End VPC using Terraform
A VPC (Virtual Private Cloud) project using Terraform involves creating and managing a network infrastructure in the cloud, typically within services like Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. Terraform is an Infrastructure as Code (IaC) tool that enables you to define and provision the cloud infrastructure you need using a declarative configuration language.
Description of a VPC Project on Terraform
In a typical VPC project, Terraform would be used to automate the creation of various networking components such as:
Virtual Private Cloud (VPC): The main network environment where your resources will reside.
Subnets: Logical subdivisions within the VPC, used to organize and isolate resources. There are typically public and private subnets.
Route Tables: Control the routing of traffic between subnets, VPCs, and the internet.
Internet Gateways: Allow communication between the VPC and the public internet.
NAT Gateways or NAT Instances: Allow resources in private subnets to access the internet.
Security Groups & Network ACLs: Control inbound and outbound traffic to/from instances.
Project 2 : Complete ALB (Application Load Balancer ) implementation
The goal of this project is to set up and configure an Application Load Balancer (ALB) in AWS using Terraform, a popular Infrastructure as Code (IaC) tool. ALB is a scalable load balancer that automatically distributes incoming application traffic across multiple targets, such as EC2 instances, containers, and IP addresses, within one or more Availability Zones.
Key Components of the ALB Project:
VPC (Virtual Private Cloud):
Define a custom VPC to host the ALB and the resources behind it, such as EC2 instances.
Set up subnets in multiple availability zones to ensure high availability and fault tolerance.
Security Groups:
Create security groups to control access to the ALB and EC2 instances.
Configure inbound and outbound rules for the ALB to allow HTTP or HTTPS traffic.
Target Group:
Set up a target group that defines the instances or resources the ALB will route traffic to.
Specify health checks to monitor the health of the targets.
Application Load Balancer (ALB):
Create an ALB in the specified VPC and subnets.
Configure listeners for HTTP and/or HTTPS.
Associate the ALB with the target group to ensure traffic is forwarded to healthy targets.
EC2 Instances:
Deploy EC2 instances or services (e.g., containers in ECS) behind the ALB.
Ensure that instances are registered in the target group for routing traffic.
IAM Roles (if needed):
Define roles and policies for managing permissions, such as allowing EC2 instances to register with the target group.
Jenkins, Maven and Sonarqube Project
Automating a Java or Node.js application using Jenkins, Maven, and SonarQube involves several key steps. Heres an overview of how to set this up, with detailed instructions on integrating each tool in the CI/CD pipeline.
Overview of Tools
Jenkins: A popular open-source automation server for building, deploying, and automating software projects.
Maven: A build automation tool primarily used for Java projects to manage dependencies, build lifecycle, and compile code.
SonarQube: A static code analysis tool that performs automatic reviews of code to detect bugs, vulnerabilities, and code smells.