🔒 What is Rate Limiting?

Rate limiting is the process of controlling the number of requests a user or client can make to a server within a specified time window.

🧠 Why Use Rate Limiting?
1. Prevent abuse (e.g., brute-force login attempts).
2. Ensure fair access to APIs for all users.
3. Protect backend resources (e.g., databases, third-party APIs).
4. Avoid unexpected costs from overuse of metered services.

⚙️ Efficient Backend Implementation Options

1. Distributed Store (e.g., Redis-based)

a. Store counters or tokens in Redis with TTL.
b. Use atomic operations (e.g., INCR, EXPIRE, SETNX).
c. Can implement token bucket or fixed window.

✅ Highly scalable
✅ Centralized control across services

2. In-Memory (Golang/Python Cache)

a. Use a simple map with IP/user ID → count/timestamp.
b. Suitable for single-instance apps.

How to:

Golang + Radis : https://dev.to/pradumnasaraf/rate-limiting-a-golang-api-using-redis-ogi

NodeJs + Radis : https://medium.com/@ignatovich.dm/creating-a-simple-api-rate-limiter-with-node-a834d03bad7a

A free online tool for drawing Entity-Relationship Diagrams by writing code. Designed specially for developers and data analysts.

https://dbdiagram.io/

@thunder_script #tool

Database Migration

Database migration is the process of moving data from one database system to another, or upgrading to a new version of the same system.

This could involve:

1. Switching database engines (e.g., from MySQL to PostgreSQL)
2. Changing storage locations (e.g., to the cloud)
3. Restructuring the data for better performance.

Why is it important?

A. Scalability: Supports growing data and user demands. ( 👌)
B. Performance: Improves speed and efficiency with modern systems.
C. Security: Helps adopt systems with stronger security features.
D. Cost-effectiveness: Enables using more affordable or managed solutions.
F. Innovation: Unlocks access to advanced features like analytics, replication, and automation.


This is one of my favorite and lifesaving topics. If you are a backend engineer or want to become one, please learn this because it’s one of the most necessary topics when working on scalable systems.

@thunder_script

Grok is playing with me 😂

Plz tell me .. What's ur best model ?

I have been in this exact situation ... struggling to post consistently.
But I’m back now, ready to share some cool topics I’ve been working with.

Upcoming post on

Prometheus and Grafana

Stay tuned!

#K8s #Prometheus #Grafana #monitoring

What are Prometheus & Grafana?

Prometheus: An open-source monitoring and alerting system designed for reliability and scalability. It scrapes metrics from services and stores them in a time-series database.

Grafana: A highly flexible dashboarding and visualization tool that lets you query and display metrics beautifully (including those collected by Prometheus).

Why Use Them?
1. Real-time monitoring of app health and infrastructure.
2. Automatic alerting for anomalies (e.g., high CPU, memory, traffic spikes)
3.Integrates seamlessly with Kubernetes and cloud-native stacks

How to Set Them Up with Helm (K8s)
Setting them up on Kubernetes is super smooth using Helm charts.

# Add the community repo
helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
helm repo update

# Install both Prometheus & Grafana
helm install monitoring prometheus-community/kube-prometheus-stack

This will deploy:

1. Prometheus
2. Grafana
3. Node Exporter
4. Alertmanager And all necessary CRDs

You can then port-forward Grafana to access the dashboards:

kubectl port-forward svc/monitoring-grafana 3000:80

Login using:

Username: admin
Password: prom-operator (or check the secret)

📚 Resources:
Helm Kube-Prometheus-Stack
Official Prometheus Docs
Grafana Documentation

If you're confused or want more clarity, I recommend this video: Link

If you have anything to discuss, feel free to drop it in the comments below.I know its really short, but you can definitely start here.i will share related documentation as well.

@thunder_script

#K8s #Prometheus #Grafana #monitoring

Software Engineer Assistant (Remote)

I’m looking for a Software Engineer Assistant to work with me.

What you’ll do:

You will not write any code — I will handle all coding.

1. Be available from 12:00 PM – 5:00 PM EST (7:00 PM – 11:59 PM Ethiopian local time).
2. Have a reliable internet connection.
3. Be able to manage and operate a LinkedIn account.
4. Understand basic software engineering terms such as Golang, React, etc just terms

Compensation:
5,200 ETB/month, paid weekly.

How to apply:
Apply here: Link

The form will close at 3 PM, and I will reach out to you after 6 PM so you can start working today or tomorrow.

guys um reaching out using this account pls be ready
@thunder_script_chat_2

Okay guys, I reached out to most of you and had interviews with a few. Since I didn’t get a response from others, I had to move to the next person. After considering everything related to the work,

I’ve decided to continue with: Dawit Kindea (@davido1221)

For those who had an interview with me, I’ll have other jobs and will reach out.

Thanks 🙏

Here we are after a year 😁. It truly was a great backend year.

Wishing you the best this year too! 🎉

Just look what I found today. Put it on your bookmark list .. it will help u.

https://component-party.dev/

You can get all these premium models for free .

try 👉 https://lmarena.ai/ and check the direct chat

What would u do if u were me ? 😂

btw its self hosted n8n on 3rd party cloud server

Elasticsearch

Elasticsearch is a distributed search engine designed for fast, accurate, and scalable information retrieval.

▪️It indexes data in JSON format and uses Apache Lucene to perform full-text and structured searches.

▪️It supports features like filtering, sorting, and real-time querying, making search results instant and relevant.

Examples of use:

E-commerce platforms for product search and filtering.
Content-heavy websites for article or document lookup.
Business tools for log and event search in real time.


If you need to work on it or want to learn more, check this link.

#Elasticsearch

How to deploy MySQL using a persistent volume on K8S.

You might fail many times when you try to deploy MySQL with a persistent volume for the first time.
This blog helped me when I did it the first time, so I hope it helps you too. You can start with this.

https://blog.nashtechglobal.com/k8s-how-to-deploy-mysql-using-persistent-volume/

https://kubernetes.io/docs/concepts/storage/persistent-volumes/


#k8s #MySQL