---
title: "sabin shrestha (@sabin) | Hashnode"
description: "sabin shrestha (@sabin) writes on Hashnode. Read their latest articles and follow their work."
url: "https://hashnode.com/@sabin"
---

@sabin

# sabin shrestha

@sabin · Joined June 2019

### [Site Reliability Engineering (SRE): A Practical Guide with Node.js Examples](https://lfsh.hashnode.dev/site-reliability-engineering-sre-a-practical-guide-with-node-js-examples?utm_source=hashnode&utm_medium=feed)

From SRE Fundamentals to Reliable Financial Workflows in Pace Equity Introduction When we build a backend application, we usually focus on implementing business requirements, writing APIs, connecting

44 min read · [lfsh.hashnode.dev](https://lfsh.hashnode.dev/site-reliability-engineering-sre-a-practical-guide-with-node-js-examples?utm_source=hashnode&utm_medium=feed)

[Oct 20](https://hashnode.com/posts/site-reliability-engineering-sre-a-practical-guide-with-node-js-examples/6ad6d2fe8b41f070ec2d80a2)

### [Measuring API Capacity and Performance in Node.js](https://lfsh.hashnode.dev/measuring-api-capacity-and-performance-in-node-js?utm_source=hashnode&utm_medium=feed)

1\. Introduction When building a backend application, it is important to know how many requests our API can handle, how long requests take to complete, and when the system begins to slow down. Without

7 min read · [lfsh.hashnode.dev](https://lfsh.hashnode.dev/measuring-api-capacity-and-performance-in-node-js?utm_source=hashnode&utm_medium=feed)

[Oct 19](https://hashnode.com/posts/measuring-api-capacity-and-performance-in-node-js/6ad5b63834cf2870f769d261)

### [RAG Context Assembly & Lost in the Middle](https://lfsh.hashnode.dev/rag-context-assembly-lost-in-the-middle?utm_source=hashnode&utm_medium=feed)

What is RAG? RAG (Retrieval-Augmented Generation) is a system where an AI model first retrieves relevant information from external data sources before generating an answer. Flow: User Question → Retr

3 min read · [lfsh.hashnode.dev](https://lfsh.hashnode.dev/rag-context-assembly-lost-in-the-middle?utm_source=hashnode&utm_medium=feed)

[Jun 2](https://hashnode.com/posts/rag-context-assembly-lost-in-the-middle/6a1ea5e49c95ffe337cf8ed6)

### [How Instagram Stores Reels, Photos, and Drafts Behind the Scenes.](https://lfsh.hashnode.dev/how-instagram-stores-reels-photos-and-drafts-behind-the-scenes?utm_source=hashnode&utm_medium=feed)

Why social media apps need efficient media storage When we upload a photo or reel to app like instgram, a huge amount of data is created A normal phone take a photo of 10-20mb A 4k reel can be of 4g

10 min read · [lfsh.hashnode.dev](https://lfsh.hashnode.dev/how-instagram-stores-reels-photos-and-drafts-behind-the-scenes?utm_source=hashnode&utm_medium=feed)

[Jun 2](https://hashnode.com/posts/how-instagram-stores-reels-photos-and-drafts-behind-the-scenes/6a1e4d48333fde475f2f2d3b)

### [Kafka : High Throughput system](https://lfsh.hashnode.dev/kafka-high-throughput-system?utm_source=hashnode&utm_medium=feed)

Instead of applications directly talking to each other: One app sends a message to Kafka Kafka stores and distributes it Many other apps can independently read it Simple Real-World Analogy Imagi

8 min read · [lfsh.hashnode.dev](https://lfsh.hashnode.dev/kafka-high-throughput-system?utm_source=hashnode&utm_medium=feed)

[May 18](https://hashnode.com/posts/kafka-high-throughput-system/6a0a811c3104e2aff006df95)