TL;DRGitHub Actions is a powerful tool for automating tasks, like creating AWS resources. Combined with CI/CD (Continuous Integration/Continuous Deployment) and Terraform, it simplifies workflows, saves time, and reduces errors. In this post, you’ll learn how to use GitHub Actions and Terraform to automate the creation of an S3 bucket on …
How Cloud Security Works Across AWS, Azure, and GCP
TL;DR: Cloud security involves protecting data, applications, and infrastructure in cloud environments. Major cloud providers like AWS, Azure, and GCP offer tools such as identity management, encryption, monitoring, and firewall services to help secure cloud environments. Understanding these security features is crucial for keeping your cloud infrastructure safe. Cloud security …
How to get started with micro SaaS: From idea to launch
TL;DRSoftware as a Service (SaaS) is a way of delivering software applications over the internet. Unlike traditional software, SaaS is subscription-based, which means users pay regularly to access it. This guide will explain what SaaS is, how you can start your own SaaS business, and show you a real example …
Micro SaaS: A Small Approach with Big Opportunities
Micro SaaS is a small type of Software as a Service (SaaS) that targets a very specific group of people, usually run by one person or a small team. Unlike big SaaS companies, Micro SaaS focuses on making steady profits instead of growing really fast. This guide will explain what …
Cloud with Artificial Intelligence
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 …