A comprehensive collection of solutions for KodeKloud labs, designed to assist learners in mastering DevOps, cloud computing, and related technologies.
This repository contains a curated set of solutions for KodeKloud labs, covering topics such as Docker, Kubernetes, Linux, and more. Each subfolder includes detailed solutions, scripts, or notes to help users complete hands-on exercises provided by KodeKloud. Last updated: September 01, 2025.
- Deploying and Managing Applications on AWS
- Load Balancing EC2 Instances with Application Load Balancer
- Managing EC2 Access with S3 Role-based Permissions
- Deploying Containerized Applications with Amazon ECS
- Automating Infrastructure Deployment with AWS Cloud Formation
- Hosting a Static Website on AWS S3
- Simplifying Application Deployment with AWS Elastic Beanstalk
- Securing Data with AWS KMS
- Building and Managing No SQL Databases with AWS Dynamo DB
- Scaling and Managing Kubernetes Clusters with Amazon EKS
- Implementing Auto Scaling for High Availability in AWS
- CI/CD Automation Using AWS Code Pipeline
- Event-Driven Processing with Amazon S3 and Lambda
- Integrating AWS SQS and SNS for Reliable Messaging
- Deploying and Managing Applications with AWS Elastic Beanstalk
- Deploying Containerized Applications with AWS ECS
- Building and Managing APIs with AWS API Gateway
- Git: Installed to clone the repository.
- Python: Version 3.8 or higher (recommended for some lab environments).
- KodeKloud Account: Access to KodeKloud labs for context and hands-on practice.
- Basic Knowledge: Familiarity with DevOps tools and cloud technologies is helpful but not required.
- Clone the repository:
git clone https://github.com/sidor2/kodekloud-lab-solutions.git cd kodekloud-lab-solutions - Navigate to the desired lab subfolder (e.g.,
cd docker-labs). - Review the
README.mdor solution files in that subfolder for specific instructions. - Use the solutions alongside KodeKloud’s lab environment to follow along or verify your work.