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Containers

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Getting Started in Tech and Cloud: A Beginner’s Practical Roadmap

2026-02-21T18:51:49+00:00

Starting a journey in tech and cloud computing often feels more intimidating than exciting. As soon as you begin researching, you encounter certifications, programming languages, cloud providers, DevOps tools, cybersecurity paths, and countless opinions about what you should learn first. Because of this overload, it can quickly feel like you are already behind. However, the real problem is not the complexity of technology. Instead, it is the lack of structure. Technology is broad, and cloud computing is built on top of traditional IT foundations. When you attempt to learn everything at once, the information becomes noise. What you truly need [...]

Getting Started in Tech and Cloud: A Beginner’s Practical Roadmap2026-02-21T18:51:49+00:00

Bring Your Own Container Made Easy: Introducing AWS ml-container-creator

2026-01-27T18:51:07+00:00

If you’ve ever struggled to package your ML model in a custom Docker image for SageMaker, the new ml-container-creator tool is here to help. This friendly open-source wizard guides you through building a SageMaker-compatible container without all the usual Docker headaches. It’s like having an assistant that writes your Dockerfile, server code, and config files for you, so you can focus on your model. What is BYOC on SageMaker? BYOC stands for Bring Your Own Container. In SageMaker, BYOC means you supply your own Docker image with everything needed to serve your ML model (the code, libraries, dependencies, etc.). AWS [...]

Bring Your Own Container Made Easy: Introducing AWS ml-container-creator2026-01-27T18:51:07+00:00

Kubernetes Development Workflow with GitHub Codespaces

2026-01-25T14:45:46+00:00

Setting up Kubernetes locally often becomes the most challenging part of learning it. Between installing Docker Desktop, configuring kubectl and Minikube, resolving version mismatches, and managing heavy resource usage, hours can be lost before a single workload is successfully deployed. There’s a better way to approach Kubernetes development without the overhead of local setup and maintenance. GitHub Codespaces provides a fully configured Kubernetes development environment that runs entirely in your browser. By removing local installations, dependency conflicts, and hardware constraints, it allows you to focus on understanding Kubernetes concepts and applying them in practice rather than troubleshooting your machine. In [...]

Kubernetes Development Workflow with GitHub Codespaces2026-01-25T14:45:46+00:00

Rise of Microservices in Modern Apps: From One Block to Many

2025-10-21T15:23:19+00:00

Have you ever thought about the pain of fixing just one small piece of a massive software system without accidentally breaking everything else? Honestly, most of the time, that is almost impossible. That challenge led to the rise of microservices in modern apps. It marked a shift from old monolithic architectures to smaller and independent services. This represents a significant architectural change. Developers moved away from huge, rigid monolithic setups and embraced smaller, independent systems. For a long time, developers built apps as a single block of code. This structure is known as monolithic architecture. It was fine when systems were [...]

Rise of Microservices in Modern Apps: From One Block to Many2025-10-21T15:23:19+00:00

The Future Is Containerized: Why Every Cloud Engineer Should Care About Docker in 2025

2025-10-29T12:10:55+00:00

In 2025, software development is moving faster than ever. Businesses demand speed, reliability, and scalability. Cloud infrastructure is no longer optional.  it’s the backbone of modern applications, powering everything from streaming platforms like Netflix to AI-driven fintech solutions. In this fast-paced environment, one technology has emerged as a game-changer for cloud engineers: Docker. An illustration of a developer using Docker for containerized applications. Picture this: a developer spends weeks building a web application. On their laptop, it runs flawlessly, smooth performance, no errors. But once deployed to production, chaos erupts. Dependencies don’t match, libraries are missing, the database [...]

The Future Is Containerized: Why Every Cloud Engineer Should Care About Docker in 20252025-10-29T12:10:55+00:00

Unleashing the Full Potential of AWS Lambda with Containers

2025-03-27T09:18:35+00:00

AWS Lambda has revolutionized serverless computing by allowing developers to run code without the hassle of provisioning and managing servers. However, even though AWS Lambda functions are powerful, they still come with limitations that significantly impact scalability, dependency management, and runtime flexibility. In this guide, we will explore the following: The limitations of traditional AWS Lambda and how Lambda Containers solve these issues. AWS-provided optimized container images A step-by-step tutorial how to build Lambda Containerized Functions Let's Dive in! The Challenges of Traditional AWS Lambda & How Containers Solve Them AWS Lambda does provide a lot of incredible benefits however, [...]

Unleashing the Full Potential of AWS Lambda with Containers2025-03-27T09:18:35+00:00

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