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Raspberry Pi are often the gateway device for developers first getting into tinkering with an IoT project. These single-board computers are relatively inexpensive, easy to get started with, and compatible with a variety of different sensors. By Andrew Black.

Looking at a Raspberry Pi from this perspective, it seems like an excellent option for a small IoT deployment. Yet there are some clear challenges that emerge when hoping to utilize the device at a larger scale:

• Raspberry Pi requires a basic OS to be installed on each individual device, and loading this OS onto a fleet of thousands of devices can be a tedious task
• It must be acknowledged that the Raspberry Pi is perhaps overpowered for very basic tasks
• Raspberry PI are built with the intention of being “hacked.”. There are some security concerns that make a Raspberry Pi vulnerable
• Complication of connectivity. RPi have ethernet ports for a hardwired connection and support WiFi, but what if the device is positioned in a location where there is no access to either?

Ultimately when it boils down to scalability for an IoT deployment, what you need is the ability to roll out your devices as quickly and securely as possible in a reproducible format. On a small scale of 10 devices or less, it is very feasible that a Raspberry Pi rollout could be an affordable option. However, in a large or enterprise-level rollout, there are enough logistical challenges to make the RPI an impractical option. Interesting read!

IoT continues to be widely talked about, as new features and possibilities are implemented and described in success stories. In 2022 global spending on IoT had surpassed USD 1 trillion which looks impressive without being a final word or even close to it. By Andrzej Wodnicki.

The industries which used IoT the most were healthcare, transportation, energy, manufacturing, and construction.

connected devices worldwide from 2019 to 2021, with forecasts from 2022 to 2030, Source: https://itsg-global.com/everything-you-have-to-know-about-iot-expansion/")

Source: https://itsg-global.com/everything-you-have-to-know-about-iot-expansion/

The top 5 countries in 2022 when it comes to investing in IoT were US, China, Japan, South Korea, and Germany. The processes that were most commonly benefiting from IoT were tracking, predictive maintenance, condition monitoring, quality control, and supply chain management. Those things make a lot of sense because sensors can be introduced to different stages of those processes which is going to cut costs. Good read!

Kali Linux is a security distribution of Linux derived from Debian and specifically designed for computer forensics and advanced penetration testing. It was developed through rewriting of BackTrack by Mati Aharoni and Devon Kearns of Offensive Security. By @guru99.com.

Kali Linux contains several hundred tools that are well-designed towards various information security tasks, such as penetration testing, security research, computer forensics and reverse engineering. Kali Linux has over 600 preinstalled penetration-testing applications to discover. Each program with its unique flexibility and use case. In this Kali Linux tutorial for beginners, you will learn basics of Kali Linux like:

• What is Kali Linux?
• Who uses Kali Linux and why?
• Kali Linux installation methods
• How to install Kali Linux using Virtual Box
• Getting started with Kali Linux GUI
• What is Nmap?
• Nmap target selection
• How to perform a basic Nmap scan on Kali Linux
• Nmap OS scan
• What is Metasploit?
• Metasploit and Nmap
• Metasploit exploit utility

.. and more. In sum, Kali Linux is an amazing operating system that is widely used by various professionals. Given its robust utilities, stability, and ease of use, it’s an operating system everyone in the IT industry and computer enthusiast should be familiar with. Nice one!

PHP is a popular programming language used in web development. It offers a wide range of features to developers, including support for different data types. Data types are essential to programming because they help define how data is stored and processed in a program. By @vegibit.com.

In this tutorial, we will be discussing the different data types available in PHP and how to use them in the context of music-related examples. The main topics covered (with code examples):

• What are data types in PHP?
• Scalar data types in PHP
• Compound data types in PHP
• Special data types in PHP
• Type juggling in PHP
• Type casting in PHP

Data types are an essential concept in PHP programming. They define the type of value that a variable can hold, how much memory space it occupies, and how the value can be manipulated. In this tutorial, we covered the different data types available in PHP, including scalar, compound, and special data types. Nice one!

The goal of your blog is to engage your target audience by encouraging them to read your content. And you can also achieve this if you provide an excellent user experience. By Christopher Jan Benitez.

This post discusses how you can better accommodate your readers by tweaking your blog. Doing so enables you to keep them on your blog longer as they read your content in the hopes of turning them into your followers, if not customers. Further in the article you will find information how to:

• Make the pages load faster
• Observe proper formatting
• Consider removing sidebar
• Reduce options
• Write about what users want to read
• Top 8 UX design blog to inspire you

People visited your site to read your content about the topic they searched for online. They’re not interested in the offers on your pop-ups or ad banners. At the same time, you can’t load up your pages with multiple calls to action that have nothing to do with your content’s topic. And most importantly - choose a niche. What are you passionate about? What do you know a lot about? What do you think people would be interested in reading about? Once you’ve chosen a niche, you can start to focus on creating content that is relevant to that audience. Some good advice here!

Large Scale Scrum, LeSS for short, has caught your attention. Maybe you’ve just started with Scrum but are already thinking about the next steps. Maybe you’re a veteran of single-team Scrum, looking to expand it to other teams. By @nimblework.com.

LeSS keeps Scrum’s core intact: exposing organizational design weaknesses through a minimal framework and letting you solve the complex problems inherent in development, through empirical process control and continuous improvement.

This article covers:

• Brief history
• Principles, and practices
• Rules
• Practices
• Queueing theory
• Key roles and responsibilities
• Organizational structure

In a LeSS organization there’s no place for project managers or a program/ project management office (PMO). You don’t need them because their responsibilities transfer to a Product Owner and the feature teams, and to avoid confusion and potentially even turf wars. In a LeSS organization, Feature Teams do the development work. They are what others would call product teams. Each team creates and is responsible for end-to-end customer-centric features, rather than components or a technical layer.

LeSS seeks to apply the “principles, purpose, elements, and elegance of Scrum in a large-scale context, as simply as possible.” Among other principles and practices, it uses Lean Thinking and Systems thinking to keep the framework and your overhead as light as possible and still guide you in important decisions.

If you subscribe to the idea of “Less Is More” and want to keep overhead to a minimum. If you value keeping everyone focused on the whole product at all times. If you’re comfortable with running experiments and adapting as you go. If you like teams progressing in their Scrum adoption at their own pace. Then you’re ready to adopt Large Scale Scrum as your framework for scaling agile. Your first step toward that would be to learn more about LeSS, especially its core principles and its principles for adopting it. Super interesting read!

One of Go’s greatest strengths lies in the its suitability for developing web applications. It offers great performance out of the box, is easy to deploy, and has many of the necessary tools you need to build and deploy a scalable web service in its standard library. This tutorial will walk you through a practical example of building a web application with Go and deploying it to production. It will cover the basics of using Go’s built-in HTTP server and templating language, and how to interact with external APIs. By Ayo.

The only requirement for this tutorial is that you have Go installed on your computer and that you are vaguely familiar with its syntax and constructs. The article then guides through:

• Prerequisites
• Downloading the starter files
• Creating a web server
• Reading variables from the environment
• Getting started with templating in Go
• Automatically restarting the server
• Serving static files
• Creating the search route
• Creating the News API client

… and more. In this article, we successfully created a News app and learnt the basics of using Go for web development along the way. We also covered how to deploy the finished application to Heroku. Nice one!

AI models are everywhere, in the form of chatbots, classification and summarization tools, image models for segmentation and detection, recommendation models, and more. AI machine learning (ML) models help automate many business processes, generate insights from data, and deliver new experiences. By Shankar Chandrasekaran.

Python is one of the most popular languages used in AI/ML development. In this post, you will learn how to use NVIDIA Triton Inference Server to serve models within your Python code and environment using the new PyTriton interface. In this article you will learn:

• What is PyTriton?
• Simplicity of Flask
• PyTriton code examples
• Dynamic batching support
• Online learning
• Multi-node inference of large language models
• Stable Diffusion

PyTriton provides a simple interface that enables Python developers to use NVIDIA Triton Inference Server to serve a model, a simple processing function, or an entire inference pipeline. This native support for Triton Inference Server in Python enables rapid prototyping and testing of ML models with performance and efficiency. A single line of code brings up Triton Inference Server. Good read!

It’s time that you took your React applications out of development and into production! But the process of deploying an application built on top of a framework — such as React, Vue.js, or Angular — is much different from that of deploying a site built with HTML, CSS, and JavaScript. By Ashutosh Singh.

This is an older source of information but still valid. Author will demonstrate how to deploy a React application with eight different services:

• Vercel
• Firebase
• Netlify
• GitHub Pages
• Heroku
• Surge
• Render
• GitLab Pages

All the services described in this post are completely free with no hidden credit card requirements until you pass a certain limit, which is usually based on view counts or bandwidth. Author have also included a brief list of some other platforms that are worth checking out, but didn’t quite make the list. Nice one!

In this detailed guide, author will share the practical roadmap for becoming a DevOps Engineer based on his 10 years of experience working as a DevOps engineer in various organizations. By Bibin Wilson.

Many people argue (including author) that there is nothing like a “DevOps Engineer” or a “DevOps Team” because it is not a thing. However, everyone in the industry has now gotten used to the term “DevOps engineer”, and as long as you understand the DevOps philosophy, these titles don’t matter much.

Further in the article:

• Who is a DevOps engineer?
• DevOps engineer roadmap
• Understand DevOps culture
• Learn how infrastructure components work
• Learn cloud computing & virtualization
• Learn infrastructure automation
• Learn container orchestration and distributed systems
• Logging & monitoring & observability
• Learn security best practices (DevSecOps)
• Learn programming & scripting
• Different types of “DevOps teams”

… and much more. The tools and processes involved in DevOps are not limited to what is mentioned in this article. However, these are commonly used open-source tools and technologies you can start with to become a DevOps engineer. Nice one!