Get started with AWS using step-by-step tutorials for beginners and cloud professionals. Learn how to launch EKS clusters, configure S3 buckets, manage IAM roles, and automate deployments with the AWS CLI and infrastructure-as-code tools. Explore machine learning workflows with Amazon SageMaker, and discover generative AI use cases with Amazon Bedrock to build intelligent, scalable applications.
If you’ve spent any time learning machine learning or preparing for the AWS Certified Machine Learning – Associate (MLA-C01) exam, you’ve probably run into this situation: Your model shows 90% accuracy. Everything looks solid… but something feels off. That’s usually the moment you realize accuracy isn’t telling the full story. This is where precision, recall, […]
When running workloads on Amazon EKS, one of the most important challenges is autoscaling. Your applications need to adapt to changing load patterns without wasting resources. Kubernetes gives us multiple tools to solve this problem: If you’ve ever wondered how to scale pods and nodes together in EKS without breaking the bank, this guide is […]
Have you ever wished you could wrap a few lines of Python into something smarter—something that plays nicely with LLMs and developer tools like Amazon Q Developer or Cline? That’s where FastMCP comes in. In this post, we’ll build a super-lightweight MCP server using fastmcp, and run it using sse(Server-Sent Events). You may also run […]
If you’re building containerized apps and want zero-downtime deployments, GitLab CI/CD with Amazon ECS Fargate and Blue/Green deployments is a powerful combo. In this step-by-step guide, we’ll show you how to deploy a Docker app using GitLab pipelines, Amazon CodeDeploy, and ECS Fargate — with smooth traffic shifting and health-based validation. Why ECS Fargate with […]
© 2026 DevOps Central
From Anders Noren — Up ↑
