TL;DR AI-powered tools can help companies develop cloud systems more efficiently. These tools can write, review, and improve code, detect errors, and suggest better solutions, making cloud management faster and more reliable. How AI Can Help You Develop in Cloud Environments As businesses increasingly rely on cloud computing, managing and …
CKAD Exam Changes Are Coming: Here’s Why I’m Taking It Again Now
I’ve been working with Kubernetes for over 6 years, and in 2021, I took the CKAD (Certified Kubernetes Application Developer) exam and passed it. Now, it’s time to renew my certification! I’m planning to take the exam before November because it’s about to change, and since I’ve done it before, …
OpenAI Canvas Feature: Making AI More Interactive
TL;DRThe new Canvas feature from OpenAI allows users to interact with AI in a more visual and organized way. It’s perfect for brainstorming, organizing thoughts, and creating content. You can think of it as a smart workspace where your ideas are better structured, making it easier to go from planning …
Serverless Computing: Building Without Infrastructure
Building a Serverless Landing Page from Scratch Using AWS S3 TL;DR Deploy a static landing page cost-effectively on Amazon S3, enhanced by linking a custom .com domain via Route 53. Ideal for startups and businesses looking for a low-cost web presence with a vibrant and engaging design. Introduction Amazon S3 …
Building a Serverless Landing Page from Scratch Using AWS
Here is the updated post in English with the necessary AWS CLI commands to create a new IAM role for the Lambda function, alongside configuring API Gateway and deploying the landing page. TL;DR Serverless computing allows developers to build and run applications without worrying about managing the underlying infrastructure. This …
AWS AI Stack – Build Scalable, Serverless AI Applications with AWS
TL;DR This guide will show you how to use the AWS AI Stack and Serverless Framework to build serverless AI applications with ease. You’ll learn how to install npm, deploy your app, and use powerful AWS services like Lambda, API Gateway, and Bedrock AI models to create AI chatbots, handle …
AI as a Service (AIaaS): How Cloud Platforms Make AI More Accessible
TL;DR AI as a Service (AIaaS) allows businesses to use powerful AI tools and models without needing their own infrastructure. Cloud providers like AWS, Azure, and Google Cloud offer easy-to-use AI solutions, making it accessible for companies of all sizes. This democratizes AI, allowing more innovation and growth without high …
Edge AI Computing: Bringing AI Closer to the Source
TL;DR Edge AI computing allows data to be processed closer to where it’s generated, reducing latency and enabling real-time decisions. This is especially useful in IoT applications and industries that require fast responses, such as healthcare and autonomous vehicles. Introduction Traditionally, cloud computing sends data to a central server for …
How to Troubleshoot Common AWS EC2 Issues for Linux and Windows Instances
TL;DR AWS EC2 instances are powerful, but developers often encounter common issues like instance launch failures, unreachable instances, and SSH or RDP connection problems. This guide focuses on troubleshooting specific EC2 issues for both Linux and Windows instances, and includes useful tools like EC2Rescue and the EC2 Serial Console. Introduction …
Hybrid and Multi-Cloud Strategies: The New Approach to Cloud Flexibility
TL;DR Hybrid and Multi-Cloud strategies help businesses become more flexible by using multiple cloud providers. This reduces the risk of being dependent on just one vendor, improves system reliability, and allows companies to pick the best solutions for their needs from different providers. Introduction With the rise of cloud technology, …
Terraform is not perfect
TL;DR Terraform is a powerful tool for infrastructure as code, but like any tool, it comes with challenges. In this article, we cover the top 20 common mistakes people make when using Terraform and how to fix them. By the end, you’ll be well-equipped to avoid these pitfalls and become …
Edge AI Computing: Bringing AI Closer to the Source
Edge AI Computing: Making AI Work Closer to You TL; DREdge AI means that computers can process information close to where it’s created, like on your phone or a sensor. This makes everything faster and allows quick decisions. It’s useful for smart devices, healthcare, and cars that drive themselves, where …