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LeetCode - Trapping Rain Water

Description: https://leetcode.com/problems/trapping-rain-water/description/ To solve this problem, the main observation is that at each index i, the amount of water that can be trapped depends on the the highest bars to its left and right elements, minus its own height. Key insights: * Water level at index_

Building a Database From Scratch: Understanding LSM Trees and Storage Engines (Part 1)

Learn core database concepts by implementing a Python key-value store with crash recovery and efficient writes. In this tutorial, we'll build a simple but functional database from scratch with Python. Through this hands-on project, we'll explore core database concepts like Write-Ahead Logging (WAL), Sorted String Tables

The Easiest Way to Add Code Interpreter into Your LLM Apps

Hey mate, I recently tried to add something like the ChatGPT Code Interpreter plugin to my LLM application. I found many libraries and open-source options available, but they seemed a bit complicated to set up, and some required credits for cloud computing. So, I decided to develop my own library

Concurrency Programming in Python: Thread vs. Process

Concurrency is a vital aspect of modern programming, allowing applications to perform multiple tasks simultaneously, thus improving efficiency and responsiveness. In Python, developers often face the choice between using threads or processes to achieve concurrency. This blog explores the differences between these two concurrency models, how they interact with Python&

Stability Patterns in Distributed Systems

In the complex world of distributed systems and microservices, ensuring system stability and reliability is paramount. Stability patterns provide a set of strategies to maintain the robustness of a system under varying conditions. This post will explore essential stability patterns, their principles, and practical examples of implementing them in distributed

Designing APIs for Microservices

In the world of microservices, APIs are the backbone that enables communication and data exchange between different services. Designing robust, scalable, and maintainable APIs is crucial for the success of any microservices architecture. In this post, we'll explore the best practices for designing microservices APIs, covering key aspects

ETL, ELT and Reverse ETL

In the world of data engineering, three acronyms frequently surface: ETL, ELT, and Reverse ETL. Each represents a different approach to data processing, catering to specific needs and scenarios. In this post, we'll break down these concepts, exploring their workflows, benefits, and use cases. What is ETL? ETL

The Evolution of Data Platform Architectures

In the ever-evolving landscape of data management, selecting the right data platform architecture is crucial for any organization aiming to leverage data as a strategic asset. Understanding the historical context and the evolution of various data architectures can help businesses identify the best fit for their specific needs. This post

Event-Driven Architecture

Event-driven architecture (EDA) is an architectural paradigm that promotes the production, detection, consumption, and reaction to events. In the context of microservices, EDA offers several benefits, including improved scalability, loose coupling, and enhanced system resilience. This post will explore the principles and benefits of EDA, delve into patterns like Event

Ensuring Atomicity in Distributed Systems: Managing Transactions Across Microservices

In a relational database, a transaction is a series of operations that must be executed in a way that guarantees ACID properties: Atomicity, Consistency, Isolation, and Durability. Atomicity, the 'A' in ACID, ensures that all operations within a transaction are completed; otherwise, none of them are. This guarantees