Thunder Script

Let me know if you encounter any issues with the setup or if there's anything you're stuck on. I'll be happy to help (obviously after work 😁). Feel free to ask!

🚢✨ Kubernetes Part 2: Where to Begin

So, you’re ready to dive into the world of Kubernetes? 🤗

Here’s a step-by-step guide to get you started:

📺 1. Watch This YouTube Video
Start with this amazing introductory video on Kubernetes:
👉 Watch here

📚 2. Read the Official Documentation
Next, head over to the Kubernetes Official Documentation.

Why is this my favorite? 🤔

The documentation is comprehensive and constantly updated.
Trust me, hopping from video to video won’t help you truly understand Kubernetes.Learn the concepts, best practices, and get comfortable with the terminology.Take your time, experiment as you go, and trust the process.

3. Tools ?
Here’s a quick list of the tools I personally use for working with Kubernetes:

1️⃣ Docker (obviously) 🐳
Kubernetes and Docker go hand-in-hand. Make sure you have Docker installed and running.

👉 If you didn't start with Docker, check this link: Docker Guide

2️⃣ Kind or Minikube

Kind: The newer kid on the block. Feature-rich and great for setting up lightweight Kubernetes clusters.

Minikube: Perfect for beginners. Despite being simple, it’s powerful enough for production-level deployments.
Recommendation: Start with Minikube to get a feel for Kubernetes without getting overwhelmed.

3️⃣ Docker Desktop Kubernetes (Optional)
Docker Desktop has a Kubernetes option you can enable in settings, but it’s not as flexible as using Kind or Minikube.I’m not a big fan for this one.

💼 What Can Motivate You to Learn Kubernetes?

Go search for jobs that require Kubernetes skills.When you see the demand, salaries, and opportunities out there, you’ll know exactly why you need to learn Kubernetes.

It’s a game-changer for anyone in backend, DevOps, or cloud development.Once you master the basics, you’ll be on your way to deploying, scaling, and managing containerized applications like a pro.


As always .................. One step forward. 🫡

#LittleDevOps #Kubernetes

I was reading the Kubernetes documentation because of work that required some digging. However, I didn’t want to stop reading it—it’s one of the best docs out there, in my personal opinion.

If you guys are really interested in container orchestration with Kubernetes, let me know. I can probably share some useful resources to get started, just like I did for Docker.

Or if you have any, feel free to share them in the comments—we'll all check them out!

#LittleDevOps

What are Proxy, Forward Proxy , Reverse Proxy and Load Balancers ?

Do I need to know a little bit about DevOps?

Yes, definitely. If you're a backend developer or a full-stack developer, you need to know some DevOps topics because you won't always have DevOps engineers available at work. You'll need to handle tasks such as deployment, monitoring, containerization , container orchestration and CI/CD yourself.

Trust me, unless you go deep, it won't work

nobody will hire you just because you say you're a full-stack developer, so focus on being a real developer.


r u a Full-Stack developer ? let me know in the comment ......

📬 Message Brokers

Message brokers are essential tools in distributed systems and microservices architectures. They act as intermediaries for sending and receiving messages between services, ensuring smooth and asynchronous communication. This separation allows each service to work independently, leading to a decoupled and scalable system design. 🚀

🔑 Key Functions of Message Brokers:

1. Message Routing 📍: Brokers route messages to the correct destination, often based on topics or queues.


2. Asynchronous Communication ⏳: Services can produce and consume messages at their own pace, reducing delays.


3. Load Balancing and Reliability ⚖️: Messages can be distributed across multiple consumers, balancing load and enhancing fault tolerance.


4. Queue Management 🗂️: Brokers manage message queues, ensuring no message is lost even if a service temporarily goes down.



🌐 Popular Message Brokers:

RabbitMQ 🐰: Known for its reliability and ease of setup, RabbitMQ supports multiple messaging patterns.

Apache Kafka ⚡: Optimized for high-throughput and handling real-time data streams, Kafka is widely used in big data processing.


Using message brokers enables systems to scale, maintain stability, and improve resilience, making them crucial for microservices and event-driven architectures


Next topic: RabbitMQ


#RandomTopic #thundertopic #backend

How well do you really know your tech stack?

The tech landscape is relentless—unless you keep digging deeper, learning, and staying updated, it’ll be tough to stay competitive. Keep pushing, or risk getting left behind.

The market is tough to break.

BTW, u need to have ምላስ 😁