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Cloud Infrastructure Automation

Infrastructure as Code solution for multi-cloud deployments with automated scaling and monitoring.

TerraformAWSDockerKubernetes

Overview

Cloud Infrastructure Automation is a solution designed to streamline cloud environment management, through Infrastructure as Code (IaC). The following topic highlights my work in developing robust and scalable multi-cloud deployment solutions. By leveraging tools such as Terraform, AWS, Docker, and Kubernetes, the focus of the spec is on enabling efficiency, reliability, and adaptability for cloud resources.

Key Experiences

Multi-Cloud Deployments

  • Developed Infrastructure as Code (IaC) templates using Terraform, providing consistent provisioning across multiple platforms.
  • Orchestrated containerised applications with Kubernetes, delivering high availability and seamless auto scaling.
  • Deployed workloads efficiently on AWS and many other cloud service providers, tailor made for a variety of needs.

Automation and Scaling

  • Automated allocation and configuration of cloud resources, reducing task effort and minimising errors.
  • Utilised Docker and other containerisation solutions to distribute applications, enabling streamlined deployment and portability.
  • Designed Kubernetes configurations, that provided automatic scaling and load balancing based on application demands.

Real-Time Monitoring

  • Integrated monitoring tools to provide detailed insights into infrastructure performance.
  • Configured Kubernetes alerting systems, to deliver proactive support and optimize resource utilization.

Sample Implementations

Terraform Script for AWS

The following is a simple example of an AWS environment including a VPC, subnet, and EC2 instance:

code
provider "aws" {
  region = "us-west-2"
}

resource "aws_vpc" "main" {
  cidr_block = "10.0.0.0/16"
}

resource "aws_subnet" "subnet" {
  vpc_id     = aws_vpc.main.id
  cidr_block = "10.0.1.0/24"
}

resource "aws_instance" "web" {
  ami           = "ami-0abcdef1234567890"
  instance_type = "t2.micro"
  subnet_id     = aws_subnet.subnet.id
  tags = {
    Name = "TerraformInstance"
  }
}

Kubernetes Deployment for a Web App

The following is a very basic configuration demonstrating the use of Kubernetes for deploying a scalable NGINX-based web application:

code
apiVersion: apps/v1
kind: Deployment
metadata:
  name: web-app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: web
  template:
    metadata:
      labels:
        app: web
    spec:
      containers:
      - name: web-app
        image: nginx:latest
        ports:
        - containerPort: 80
---
apiVersion: v1
kind: Service
metadata:
  name: web-app-service
spec:
  type: LoadBalancer
  selector:
    app: web
  ports:
  - protocol: TCP
    port: 80
    targetPort: 80

My Results and Impact

  • Reduced agency deployment time by 50% using automation.
  • Enhanced system reliability through real-time monitoring and scaling capabilities.
  • Simplified multi-cloud management, providing adaptability to project-specific requirements.

Example Tools and Technologies

  • Terraform: Infrastructure provisioning
  • AWS: Cloud service provider
  • Docker: Containerisation
  • Kubernetes: Orchestration and scaling

Conclusion

This topic demonstrates my expertise in building scalable and automated cloud solutions, that address the complexities of modern infrastructure needs. By focusing on flexibility, reliability, and performance I help organisations work faster and minimise operational overheads.