The Problem I deployed an app on Kubernetes, and everything looked fine. But when I tried to access the app, nothing worked. At first, it looked like a networking issue. What Looked Correct But Was Not At a glance: But the application was not reachable. This is where it gets confusing. Kubernetes shows Pods as […]
Last updated on May 5th, 2026 at 06:32 amThe Problem I deployed an app on Kubernetes, exposed it with a Service, and everything looked fine. But when I checked: It returned: 👉 No endpoints means your Service isn’t routing traffic to anything. What Looked Correct (But Wasn’t) At first glance, everything seemed fine: But requests […]
After training a model in Amazon SageMaker, the next question is how to actually use it. This is where many people get stuck. SageMaker offers multiple ways to run inference, and it’s not always obvious which one to choose. In this guide, I’ll explain the differences between real-time, batch, and serverless inference using simple examples. […]
If you’re learning machine learning on AWS – or just want to understand how models work without writing code, this is one of the simplest workflows to try. In this post, I’ll walk through how I built a loan approval prediction model using SageMaker Canvas, and where this kind of workflow shows up in AWS […]
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