DevOps Projects Overview
DevOps Projects Overview
Recently, I embarked on a journey to enhance my DevOps skills and practice the essential tools and techniques needed for a potential transition into Cloud Engineering or DevOps. While exploring online resources, I came across a series of challenges on Roadmap.sh that immediately sparked my interest. This long-term initiative is divided into 21 smaller (yet far from trivial) projects, starting with beginner-friendly tasks like Bash scripting and automation, progressing to intermediate-level topics such as Infrastructure as Code (IaC) and cloud technologies, and culminating in advanced areas like monitoring with Prometheus and Grafana, multi-service Docker deployments, and more.
This project offers me an opportunity to dive deep into the tools and methodologies commonly used by Cloud and DevOps Engineers. It covers a wide range of topics, including CLI scripting, automation, IaC, monitoring, Docker, and beyond.
Taking a hands-on approach allows me to challenge myself, explore new technologies, and indulge my passion for problem-solving in these domains.
My ultimate goal is to transition from my current role as an IT technician to a Cloud Engineer position, and this project serves as a stepping stone toward achieving that dream.
In this blog post, I’ve outlined each project briefly, with links to detailed write-ups for those who want to learn more. You can also find my GitHub repository, where I showcase the solutions, here.
Additionally, I’ll be publishing individual posts that delve deeper into each tool and project, sharing my thoughts, challenges, and key takeaways from every step of the journey.
Enjoy! 😊
1. Server Performance Stats Tool
A tool for collecting and visualizing server performance metrics, giving valuable insights into resource usage and capacity.
2. Log Archive Tool
Automates the archiving and rotation of log files, ensuring essential logs are saved while old logs are safely cleared out.
3. Nginx Log Analyzer Tool
Analyzes Nginx logs to provide insights on traffic patterns and performance, helping to identify bottlenecks and optimization areas.
4. GitHub Pages Deployment
A CI/CD tool that automates deployment of GitHub Pages projects, making it easy to publish and update web-based content.
Upcoming Projects
5. SSH Remote Server Setup
Automates remote server setup and configuration via SSH, streamlining the process of managing multiple servers.
6. Static Site Server
Sets up a simple server for hosting static websites, ideal for small projects or personal web hosting.
7. Basic DNS Setup
Provides a foundational DNS setup for projects needing custom domain management and routing.
8. Simple Monitoring
Implements basic monitoring to track server and application health, supporting uptime and performance optimization.
9. Dummy Systemd Service
Creates a basic systemd service to automate simple background tasks on Linux-based systems.
10. Basic Dockerfile
Explores Dockerfile basics to containerize a sample application, paving the way for more complex containerized deployments.
11. EC2 Instance
A hands-on exercise in provisioning and configuring an EC2 instance on AWS, part of building cloud infrastructure skills.
12. Configuration Management
Investigates tools like Ansible to automate configuration tasks across multiple servers, enhancing consistency and efficiency.
13. IaC on DigitalOcean
Uses Infrastructure as Code (IaC) principles to deploy and manage resources on DigitalOcean, bringing infrastructure under version control.
14. Node.js Service Deployment
Deploys a Node.js service, covering the setup and configuration necessary for reliable backend service hosting.
15. Dockerized Service
Develops a Dockerized application service, providing an introduction to container orchestration and portability.
16. Multi-Container Application
Builds a multi-container application using Docker Compose, showcasing how multiple services can work together within a containerized environment.
17. Automated DB Backups
Creates an automated backup solution for databases, ensuring critical data is securely stored and recoverable.
18. Blue-Green Deployment
Implements a blue-green deployment strategy, reducing downtime during service updates.
19. Prometheus and Grafana
Introduces monitoring and visualization with Prometheus and Grafana, crucial for observing metrics across cloud environments.
20. Multi-Service Application
Deploys a multi-service application, demonstrating how microservices interact and scale within a production environment.
21. Service Discovery
Explores service discovery solutions to manage dynamic service environments, enabling automatic service identification and connection.
Each of these projects represents a step in my DevOps and Cloud Engineering learning journey.
I hope you’ll find insights and inspiration within these explorations, whether you’re a beginner or an experienced engineer interested in similar tools.
//Cheers - Dawid