Tech-Reader.blog

Welcome to the AWS Glossary You’ll Actually Enjoy Reading 😂 AWS has a mind-boggling 200+ services, but don’t worry—we’re not here to drown you in jargon. Instead, we’ve handpicked 25 of the most essential AWS services and explained them in plain, relatable terms. Whether you’re new to the cloud or you’ve been navigating it for years, this glossary is your shortcut to understanding AWS in a way that actually makes sense. Before we dive into the definitions, take a quick glance at the tree diagram below. It’s a simple breakdown of the services we’ll cover, grouped by their general purpose. No need to study it or analyze the connections—we’ll save that for another blog post. For now, just think of it as a map to guide you through the glossary. AWS ├── Compute │ ├── EC2 │ ├── Lambda │ └── ECS/EKS ├── Storage │ ├── S3 │ ├── EBS │ └── Glacier ├── Databases │ ├── RDS │ ├── DynamoDB │ └── Aurora ├── Networking │ ├── VPC │ ├── Route 53 │ └── CloudFront ├── Monitoring ...

AWS Collaborative Problem-Solving: Tackling Complex Redshift and Lake Formation Challenges Introduction In the fast-paced world of cloud computing, challenges often arise that require not just technical expertise but also a collaborative, problem-solving mindset. Recently, I encountered a situation involving the integration of Amazon Redshift, Lake Formation, and a zero-trust CICD setup in a multi-account AWS environment. The complexity of the issue underscored the importance of curiosity, structure, and collaboration in finding meaningful solutions. Here's how we approached it and the lessons learned along the way. Sharing External Schemas from Redshift The situation centered on sharing external schemas from Amazon Redshift with another AWS account while adhering to stringent security and governance policies. The setup involved a zero-trust environment, meaning no manual console interactions ("click-ops") were allowed, a Lake Formation governance account, which controll...

  The Ultimate Portable Ham Radio Station: Karl-Heinz's Tripod Go-Box A Blend of Tradition and Innovation Karl-Heinz Krawczyk has crafted a masterpiece in portable ham radio design with his ingenious Tripod Go-Box setup. Combining the versatility of a Raspberry Pi 4 with powerful radio hardware like the Icom IC-705 and Yaesu FT-70D, this compact station is a marvel of modern ham ingenuity. Whether you're new to ham radio or a Raspberry Pi enthusiast, Karl-Heinz’s project is a perfect example of how to build a flexible, field-ready communication system. Multi-Mode Operation Made Simple At its core, the Tripod Go-Box blends traditional amateur radio with cutting-edge technology. The Raspberry Pi 4 serves as the control hub, enabling the use of FT8 for shortwave digital communication and Xastir software for APRS (Automatic Packet Reporting System). By attaching multiple devices to the tripod—including an SDR receiver for wideband listening—Karl-Heinz can seamlessly operate on VHF/...

  HamPi: The Essential Linux Distribution for Amateur Radio Enthusiasts Introduction HamPi is a specialized Linux distribution crafted for amateur radio operators, offering a ready-to-use environment packed with over 100 ham radio applications. Designed for the Raspberry Pi, HamPi simplifies the process of setting up a fully functional radio station, whether for digital modes, satellite tracking, or logging. While originally based on Raspbian —an older version of Raspberry Pi OS—the latest release has been updated to align with Raspberry Pi OS Bookworm , the newest version of the operating system. A Pre-Configured Powerhouse HamPi continues to shine with its extensive suite of pre-installed software, saving users the hassle of installing and configuring tools manually. Popular applications like WSJT-X (for weak signal modes like FT8), fldigi (a comprehensive digital mode suite), and xSDR (for software-defined radio) are included. Tools for satellite tracking ( Gpredict ) and log...

HamPi 4.0a1: A Fresh Release for Raspberry Pi 5 Users Introduction Ham radio enthusiasts and Raspberry Pi users have a reason to celebrate with the announcement of HamPi 4.0a1 (32-bit) , tailored for the Raspberry Pi 5 . Released in March 2024, this latest version of HamPi continues its tradition as a comprehensive software suite, empowering amateur radio operators with a versatile toolset. Developed by Dave Slotter, W3DJS, HamPi has already crossed the milestone of 100,000 downloads worldwide, a testament to its growing popularity and utility in the amateur radio community. What's New in HamPi 4.0a1? This release comes with significant updates, aligning HamPi with the latest Raspberry Pi 5 hardware and the Debian Bookworm operating system. Among the updates, the copyright year has been refreshed to 2024, underscoring HamPi’s ongoing commitment to staying current. However, due to compatibility issues with Bookworm, several popular packages like Soapy SDR drivers, TrustedQSL, FreeD...

Troubleshooting Raspberry Pi AI Camera Issues: A Step-by-Step Guide Introduction The Raspberry Pi AI Camera is a fantastic tool for projects involving image recognition, object detection, and more. However, like any hardware, it can sometimes encounter issues during setup or use. Recently, a user reported problems with their Raspberry Pi AI Camera, which was connected to a Raspberry Pi 5 and powered by a PiSugar S Plus Portable. Although the camera was detected, it threw timeout errors, making it unusable. Here's a breakdown of troubleshooting steps to resolve similar issues. Error Analysis The main errors included timeouts and warnings about an unresponsive camera frontend. This typically indicates either a physical connection problem, inadequate power supply, or software misconfiguration. Error messages, such as “Camera frontend has timed out” and “Check that your camera sensor connector is attached securely” , pointed to a hardware issue but also...

Troubleshooting XPT2046 Touchscreen Calibration with HamPi on Raspberry Pi 4 Touchscreens can be an excellent addition to your Raspberry Pi projects, but getting them calibrated properly can be a bit of a headache, especially with models like the XPT2046. If you're using an XPT2046 touchscreen with your Raspberry Pi 4, running an operating system like HamPi (based on Raspbian OS), and struggling to calibrate it, this guide is for you. Let's walk through the process of getting your touchscreen properly calibrated. Step 1: Install the Necessary Drivers Before jumping into calibration, ensure the drivers for the touchscreen are installed. The xserver-xorg-input-evdev package is often a great starting point for enabling touch input. Open a terminal and run the following commands: $ sudo apt update $ sudo apt install xserver-xorg-input-evdev This ensures the system can process touch inputs effectively. Step 2: Check if the System Recognizes the Touch...

Understanding and Addressing AWS Role, Privilege, and Permission Challenges Introduction AWS (Amazon Web Services) is the backbone of modern cloud infrastructure, offering robust tools to manage resources efficiently. However, one of its most critical components—roles, privileges, and permissions—often becomes a source of confusion and security risks. Understanding these concepts is essential not only for setting up systems but also for their ongoing administration and troubleshooting. Failure to address these correctly can result in operational inefficiencies, security breaches, or unintentional service disruptions. The Foundation of Roles, Privileges, and Permissions At its core, AWS uses Identity and Access Management (IAM) to define who can access what and under what conditions. Roles represent a method for assigning permissions to applications, services, or users without directly tying them to specific individuals. Privileges define what actions entities can perform, such as readi...

  Resolving a Complex AWS System Bottleneck: A High-Level Guide Imagine you’re a cloud professional managing an e-commerce platform that thrives during Black Friday sales. You’ve spent months preparing for the surge in traffic, and when the big day arrives, the platform is buzzing with activity. But suddenly, complaints flood in: checkout times out, pages load sluggishly, and the frantic holiday shopping rush is slipping through your fingers. It’s a nightmare scenario, but not uncommon. In moments like these, AWS’s interconnected services can either be your saving grace—or the culprit behind the chaos. This article outlines how to diagnose and resolve such complex AWS performance issues, ensuring your systems remain resilient when it matters most. Understanding the Problem During high-demand periods, even minor inefficiencies can snowball into significant performance issues. In this case, symptoms like slow page loads and timeouts suggest a bottleneck in the workflow—perhaps in AWS...

Expanding Your TinyML Skills and Scaling Projects with the Pico RP2040 Congratulations on making it through our TinyML journey with the Raspberry Pi Pico RP2040! You’ve learned about TensorFlow Lite for Microcontrollers, explored the fundamentals of model building and deployment, and delved into inspiring project ideas for industrial IoT applications. Now, let’s talk about where to go from here. In this final article, we’ll look at ways to deepen your TinyML skills, join supportive communities, and refine your Pico projects for more advanced, scalable solutions. Level Up Your TinyML Knowledge If you’re ready to dive deeper into TinyML, a few specific areas of study will enhance your skills: Model Optimization : Explore advanced techniques like pruning, quantization, and knowledge distillation, which reduce model size and improve inference speed—perfect for constrained devices like the Pico. Advanced Sensor Integration : Learn to incorporate multiple sensors and manage more complex data...

Project Ideas for TinyML with the Pico RP2040 With your Raspberry Pi Pico RP2040 set up and your first TinyML model under your belt, it’s time to think bigger. TinyML on the Pico opens up countless possibilities for practical, real-world applications, particularly in industrial settings where real-time monitoring and data-driven insights can be game-changers. In this article, we’ll explore a few project ideas designed to inspire your next steps and show just how far you can go with TinyML on the Pico. 1. Real-Time Inventory Monitoring System Keeping track of inventory levels in a warehouse can be labor-intensive and prone to error. With the Pico, you could design a model that uses visual recognition or sensor-based data to detect stock levels in real time. Imagine a setup where the Pico is connected to a camera or proximity sensor that continually monitors a shelf or storage bin. When inventory falls below a certain threshold, the system could trigger a low-stock alert or even send a m...

Building and Deploying Your First TinyML Model on the Pico RP2040 Now that you’ve explored the power of TensorFlow Lite for Microcontrollers (TFLM) on the Raspberry Pi Pico, it’s time to get hands-on by building and deploying your very own TinyML model. This step is where your ideas start to become reality, transforming your Pico into a device that can make decisions based on data it gathers in real-time. We’ll walk you through the basics of creating, training, and deploying a model that’s ready for an industrial application, allowing you to create practical, high-impact solutions. Step 1: Choose Your Model and Gather Data The first step is choosing what type of model to build and gathering the data it needs. For industrial applications, you might consider: Anomaly Detection : Detect irregularities in sensor data, such as temperature or vibrations from machinery. Keyword Spotting : Recognize specific sounds, like a command or an alarm. Object Detection : Identify different objects in a...

System-Level Documentation: Inventory Status Report Overview The Inventory Status Report provides a comprehensive snapshot of current stock levels, reorder thresholds, and supplier information for all products. This report is critical for inventory management, helping users quickly identify items that require restocking. It can be generated on-demand or scheduled at regular intervals. This document outlines the report layout, field definitions, and the COBOL program that supports its generation. Report Layout Here’s how the report appears when printed or displayed: Inventory Status Report ------------------------ Date: 11/17/2024 Product Code  Description         Stock Level  Reorder Level  Supplier Code ------------  -----------         -----------  -------------  ------------- PROD123       Wireless Headphones  150          50      ...