NetTrace Arcade

Lab 6 Solution: Scale & Load Balance Your Architecture | AWS Academy Cloud Foundations In AWS Academy Cloud Foundations Lab 6, students learn how to improve application availability, reliability, and scalability using Elastic Load Balancing (ELB) and Amazon EC2 Auto Scaling. This lab demonstrates how AWS automatically distributes traffic across multiple instances and adjusts resources based on demand. Introduction Modern cloud applications must be capable of handling changing traffic patterns without affecting performance. AWS provides services such as Elastic Load Balancing and Auto Scaling to ensure applications remain highly available while optimizing infrastructure costs. This lab focuses on implementing these services in a practical environment. Lab Objectives Create an Amazon Machine Image (AMI) from a running EC2 instance. Create and configure an Elastic Load Balancer. Create a Launch Configuration. Create an Auto Scaling Group. Configure automatic scaling b...

Building a Retrieval-Augmented Generation (RAG) System with Python Artificial Intelligence is transforming the way we interact with information. However, Large Language Models (LLMs) often struggle with up-to-date or private knowledge. Retrieval-Augmented Generation (RAG) solves this problem by combining information retrieval with generative AI. RAG enables AI models to answer questions using custom documents, PDFs, websites, databases, and knowledge bases. What is RAG? Retrieval-Augmented Generation (RAG) is an AI architecture that retrieves relevant information from external sources before generating an answer. User Question → Retriever → Relevant Documents → LLM → Accurate Answer Why Use RAG? Access to custom knowledge Improved response accuracy Reduced hallucinations No model retraining required Enterprise-ready architecture Support for PDFs, websites, and databases Core Components of a RAG System Document Loader Loads data from PDFs, websites, tex...

Lab 4 Solution: Working with EBS | AWS Academy Cloud Foundations Amazon Elastic Block Store (Amazon EBS) is a block-level storage service designed for use with Amazon EC2 instances. In AWS Academy Cloud Foundations Lab 4, students learn how to create, attach, manage, and utilize EBS volumes for persistent storage. Introduction to Amazon EBS Amazon EBS provides scalable and high-performance storage volumes that can be attached to EC2 instances. Unlike instance store volumes, EBS volumes retain data even after an EC2 instance is stopped or terminated, making them suitable for critical workloads and applications. Lab Objectives Create an Amazon EBS volume. Attach the EBS volume to an EC2 instance. Format and mount the volume. Store data on the volume. Verify data persistence. Understand EBS use cases and benefits. Steps Performed in the Lab Step 1: Launch an EC2 Instance Begin by launching an EC2 instance from the AWS Management Console. Ensure the instance is ru...

Machine Learning for Intrusion Detection: Building Smarter Network Security Systems As organizations become increasingly dependent on digital infrastructure, cyberattacks continue to grow in both volume and sophistication. Traditional security systems often rely on predefined signatures, making them ineffective against previously unseen threats. Machine learning introduces a more intelligent approach by enabling intrusion detection systems to learn patterns from network traffic and identify suspicious behavior automatically. Why Traditional Intrusion Detection Falls Short Signature-based intrusion detection systems work well against known attacks but struggle with zero-day threats and rapidly evolving attack techniques. Security teams require solutions that can adapt to changing traffic patterns without constant manual updates. Machine learning addresses this challenge by analyzing historical network data and recognizing anomalies that may indicate malicious activity. Ma...