Introduction

Hey everyone! As you know, I've always been a data guy, diving deep into the realms of data science. But recently, I've decided to give DevOps a try. Why, you ask? Well, thanks to the amazing DevOps community and a special shoutout to "kubeden" for enlightening me on how fascinating this field can be, I thought, why not explore it? So, I decided to take a detour from my data journey and spend some time in the DevOps world.

My Background

I’ve been a developer for three years now, with some experience in cloud computing and AWS. So, I figured learning DevOps might be a bit easier given my background. Here’s a rundown of what I’ve learned in the past four days during my free time:

AWS

IAM

1. Users: Managing user accounts and permissions.
2. Groups: Organizing users into groups for easier management.
3. Policies (Permissions): Defining and assigning permissions to users and groups.

Amazon Elastic Container Service (ECS) and ECR

1. Deploy Docker Container:
   • Create Cluster: Setting up a new ECS cluster.
   • Service API:
     • Tasks: Running individual containers.
     • Load Balancer: Distributing traffic among containers.
     • Health Checker: Monitoring container health.

Elastic Beanstalk

Deploying and managing applications without worrying about the underlying infrastructure.

Docker

Basics

1. Installation of Docker CLI and Desktop: Getting Docker up and running on my machine.
2. Understanding Images vs. Containers: Learning the difference between Docker images and containers.
3. Running Ubuntu Image in Container: Starting a container with Ubuntu.
4. Multiple Containers: Managing multiple containers simultaneously.
5. Port Mappings: Mapping container ports to host ports.
6. Environment Variables: Setting environment variables for containers.
7. Dockerization of Node.js Application:
   • Dockerfile: Creating a Dockerfile for a Node.js app.
   • Caching Layers: Using caching to speed up builds.
   • Publishing to Hub: Pushing images to Docker Hub.

Advanced

1. Docker Compose:
   • Services: Defining multi-container applications.
   • Port Mapping: Configuring port mappings for services.
   • Env Variables: Setting environment variables for services.
2. Docker Networking:
   • Bridge: Default network driver.
   • Host: Using the host’s networking stack.
3. Volume Mounting: Persisting data using volumes.
4. Efficient Caching in Layers: Optimizing Dockerfile for caching.
5. Docker Multi-Stage Builds: Using multi-stage builds to reduce image size.

Nginx

Setting Up

1. Launching an EC2 Instance:
   • Create and configure a virtual machine using EC2: Choosing an instance type and region.
   • Assign a static IP: Ensuring consistent access.
   • Set up security groups: Allowing HTTP and HTTPS traffic.

Configuration

1. Accessing the EC2 Instance: Connecting via SSH.
2. Updating and Installing Necessary Packages: Keeping everything up-to-date.
3. Cloning the Project Repository: Downloading my Node.js app.
4. Installing Project Dependencies: Using npm install.
5. Running the Node.js Application: Managing with pm2.
6. Setting Up a Domain: Registering and pointing a domain to my Elastic IP.
7. Configuring Nginx: Proxying requests to the Node.js app.
8. Setting Up SSL with Let's Encrypt: Using Certbot for SSL certificates.

Kafka

Key Concepts

1. High Throughput and Less Storage: Optimized for large data streams.
2. Components:
   • Producers and Consumers: Sending and receiving messages.
   • Topics and Partitions: Organizing messages.
   • Consumer Groups: Managing multiple consumers.

Models

1. Queue and Pub/Sub: Handling different messaging patterns.
2. Zookeeper: Managing Kafka infrastructure.
3. Admin, Producers, and Consumers: Setting up and using Kafka.

Serverless

Overview

1. No Server Management: Focusing on code, not servers.
2. Event-Driven Execution: Functions triggered by events.
3. Automatic Scaling: Scaling based on load.
4. Pay-per-Invocation: Billing based on function usage.

Practical Example

1. Creating a Lambda Function: Deploying a function to AWS Lambda.
2. Trigger Setup: Using API Gateway to invoke the function.
3. Testing: Verifying with a browser and Postman.

What's Next: My Learning Plan for the Next 4 Days

In the next four days, I plan to dive deeper into the following areas:

1. More AWS Services: Expanding my knowledge of various AWS services beyond the basics.
2. Azure: Getting familiar with Microsoft's cloud platform and its unique features.
3. Terraform: Learning infrastructure as code to manage cloud resources efficiently.
4. Ansible: Exploring configuration management and automation.
5. CI/CD: Strengthening my understanding of continuous integration and continuous deployment practices.
6. GitHub Workflows: Refining my skills in creating and managing workflows on GitHub.

Conclusion

So in these days, my free time goes to learning about DevOps and I will be sharing more about what I have learned, and in a new post, I will share the resources too.

For the DevOps community: Do let me know your thoughts and what should I need to put more focus on in this DevOps realm?

Stay curious, keep learning, and happy coding!