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Tag: AWS

  • DevSecOps: Integrating Security into the Entire SDLC

    DevSecOps: Integrating Security into the SDLC DevSecOps represents a fundamental shift in how security is approached in software development. Instead of treating security as a separate phase, it advocates for integrating security practices and considerations into every stage of the Software Development Lifecycle (SDLC), from planning to operations. The Core Principles of DevSecOps Security as Read more

  • Pretrained Models for Document Extraction

    Pretrained Models for Document Extraction Cloud-Based Pretrained Models Google Cloud Document AI: Offers pretrained models for various document types (invoices, receipts, IDs, etc.) for key-value pair, table extraction, and classification. AWS Textract: Provides pretrained models for OCR, key-value pair extraction, and table extraction from documents and images. Azure Form Recognizer (now Document Intelligence): Offers pretrained Read more

  • Automating PDF to JSON Extraction with AI/ML

    Automating PDF to JSON Extraction with AI/ML 1. Understanding the Problem and Defining Key Values for AI/ML When leveraging AI/ML for PDF to JSON extraction, the initial problem definition remains crucial, but with a focus on how AI/ML can address challenges posed by unstructured or highly variable documents. Identify the Key Values: As before, define Read more

  • Comparing DynamoDB vs MongoDB for Vector Embedding

    Comparing DynamoDB vs MongoDB for Vector Embedding Both Amazon DynamoDB and MongoDB offer capabilities for working with vector embeddings, but they approach it with different underlying architectures and strengths. Choosing the right database depends on your specific use case, scalability requirements, query patterns, and existing infrastructure. DynamoDB for Vector Embedding DynamoDB, a fully managed NoSQL Read more

  • Sample Autonomous Threat Identification and Mitigation in AWS (Sample)

    Autonomous Threat Identification and Mitigation in AWS (Sample) This sample outlines a conceptual architecture and key AWS services for building an Autonomous Threat Identification and Mitigation system, focusing on detecting and responding to suspicious network traffic. Conceptual Architecture +—————–+ +—————–+ +———————+ +———————+ +———————+ | Network Traffic | –> | VPC Flow Logs / | –> Read more

  • Building Your Blog on AWS: A Comprehensive Guide

    Building Your Blog on AWS: A Comprehensive Guide Amazon Web Services (AWS) offers a robust and scalable infrastructure to host your blogging website. This guide walks you through the steps, from choosing your platform to launching and maintaining your blog on AWS. Step 1: Choose Your Blogging Platform The foundation of your blog is the Read more

  • Recent Advancements in Blockchain Technology (2025)

    Recent Advancements in Blockchain (2024-2025) – Detailed The blockchain landscape continues its rapid evolution. Here are detailed insights into key advancements and trends shaping the technology in 2024-2025: Increased Interoperability and Cross-Chain Solutions Advancement: Projects like **Polkadot** with its parachain system and **Cosmos** with its Inter-Blockchain Communication (IBC) protocol are enabling different Layer-1 and Layer-2 Read more

  • Implementing Fraud Detection and Prevention Agentic AI on AWS – Detailed

    Implementing Fraud Detection and Prevention Agentic AI on AWS – Detailed This document provides a comprehensive outline for implementing a Fraud Detection and Prevention Agentic AI system on Amazon Web Services (AWS). The goal is to create an intelligent agent capable of autonomously analyzing data, making decisions about potential fraud, and continuously learning and adapting Read more

  • Fixing Consumer Lag in Kafka

    Fixing Consumer Lag in Kafka 1. Monitoring Consumer Lag: You can monitor consumer lag using the following methods: Kafka Scripts: Use the kafka-consumer-groups.sh script. This command connects to your Kafka broker and describes the specified consumer group, showing the lag per partition. ./bin/kafka-consumer-groups.sh –bootstrap-server your_broker:9092 –describe –group your_consumer_group Example output might show columns like TOPIC, Read more

  • DynamoDB advanced Indexing Examples

    DynamoDB Indexing Examples DynamoDB Indexing Examples Here are detailed examples of DynamoDB indexing, including Global Secondary Indexes (GSIs) and Local Secondary Indexes (LSIs), with explanations. Example 1: E-commerce Product Catalog Table: Products Primary Key: ProductID (Partition Key), SKU (Sort Key) Attributes: Name, Category, Price, Brand, Color, Size Scenario We want to efficiently query products by Read more