Author: Admin

Retrieval Augmented Generation (RAG) with LLMs

Retrieval Augmented Generation (RAG) is a technique that enhances the capabilities of Large Language Models (LLMs) by enabling them to access and incorporate information from external sources during the response generation process. This approach addresses some of the inherent limitations of LLMs, such as their inability to access up-to-date information or domain-specific knowledge. How RAG… Read more
React Hooks and class components

The introduction of React Hooks in React 16.8 marked a significant shift in how React developers manage state and side effects. Here’s a breakdown of the key differences between hooks and class components: Class Components: Hooks: Key Advantages of Hooks: Key Considerations: In essence: Hooks offer a more modern and efficient way to build React… Read more
Redux “under the hood”

To understand Redux “under the hood,” let’s break down its core principles and how they work together: 1. The Store: 2. Actions: 3. Reducers: 4. The Data Flow: Key Concepts: In essence: Redux provides a predictable and manageable way to handle application state by enforcing a strict data flow and relying on pure functions and… Read more
Managing state in ReactJS

Managing state in ReactJS is crucial for building dynamic and interactive user interfaces. Here’s a breakdown of the common approaches, from simple to more complex: 1. useState Hook (Functional Components): JavaScript 2. Class Component this.state (Class Components): JavaScript 3. useReducer Hook (Complex State): JavaScript 4. Context API (Global State): JavaScript 5. Redux/Zustand/Recoil (Complex Global State):… Read more
ReactJS Bits

Alright, let’s dive into some ReactJS questions! To give you the most helpful answers, I’ll cover a range of topics from basic to more advanced. Basic React Questions: Intermediate React Questions: Advanced React Questions: Read more
Kafka Disk I/O Tuning Guide

Disk I/O is a critical bottleneck for Kafka performance. Kafka relies heavily on the file system for storing and retrieving messages, and inefficient disk I/O can lead to increased latency, reduced throughput, and overall system degradation. Here’s a guide to help you tune Kafka for optimal disk I/O performance: 1. Understanding Kafka’s Disk I/O Patterns… Read more
Kafka Network Latency Tuning

Network latency is a critical factor in Kafka performance, especially for applications requiring near-real-time data processing. High network latency can significantly increase the time it takes for messages to travel between producers, brokers, and consumers, impacting overall system performance. Here’s a guide to help you effectively tune Kafka for low network latency: 1. Understanding Network… Read more
Kafka CPU Tuning Guide

Optimizing CPU usage in your Kafka cluster is essential for achieving high throughput, low latency, and overall stability. Here’s a comprehensive guide to help you effectively tune Kafka for CPU efficiency: 1. Understanding Kafka’s CPU Consumption 2. Monitoring CPU Usage 3. Tuning Strategies 4. Best Practices By following these guidelines, you can effectively tune your… Read more
gRPC vs HTTP

gRPC (gRPC Remote Procedure Calls) and HTTP (Hypertext Transfer Protocol) are both fundamental protocols used for communication between applications, but they differ significantly in their design, features, and typical use cases. Here’s a comprehensive comparison: gRPC HTTP Key Differences Summarized: Feature gRPC HTTP Protocol RPC framework over HTTP/2 Application protocol (various versions) Data Format Primarily… Read more
Databricks scalability

Databricks is designed with scalability as a core tenet, allowing users to handle massive amounts of data and complex analytical workloads. Its scalability stems from several key architectural components and features: 1. Apache Spark as the Underlying Engine: 2. Decoupled Storage and Compute: 3. Elastic Compute Clusters: 4. Auto Scaling: 5. Serverless Options: 6. Optimized… Read more