Switching the Identity Provider in the IAM Identity Center while keeping all permissions intact and minimizing disruptions can be a daunting task. In this post I’m explaining how we solved this for one of our customers.
AWS DataSync is a service that simplifies and accelerates data migrations not only to but also from and between AWS storage services. In this blog post we will see how to leverage it to migrate data from an EFS file system to an Amazon S3 bucket.
In this blog post we’ll dive deep into AWS Backup. We cover how the service works, how to set it up and focus on how it interacts with different AWS resources. It’s crucial to understand which features are supported for different services such as EBS or S3 to understand how to protect your environment. Additionally we look into Cross-Region and Cross-Account backup and restore options in the context of an AWS Organization.
IAM Identity Center, formerly AWS SSO, is often used as an access management solution in front of one or more AWS accounts. More often than not, its purpose is to grant access to AWS accounts within an AWS organization. Today we’ll shed some light on the basic concepts and explain how this solution can be integrated with Azure AD which has recently been renamed to Entra ID to provide Single-Sign-On to your AWS environment.
It’s probably not a surprise that (almost) everything Amazon Web Services offers is accessible through web services. AWS also provides a range of SDKs that make interfacing with and integrating them in your code base relatively painless. These SDKs are sometimes a bit limited, though. There are certain things that you can only do through the AWS console, meaning that there are still services under the surface, but they’re undocumented and not accessible through the official SDKs. That API call is what we refer to as an undocumented API. In this post, I’m going to show you how to discover these APIs and use them in your scripts.
In the most recent installment of the Serverless Dash series, we’ll look at implementing proper authentication using Cognito. This post covers setting up the user pool, the app client and also the logout option.
Finding the right set of hyperparameters when training machine learning models is a resource-consuming and costly task. In this post, we try to simplify this by exploring hyperparameter tuning for reinforcement learning models with Ray 2.x on AWS Sagemaker.
The RAG - Retrieval Augmented Generation is an approach to reduce hallucination using LLMs (Large Language Models). With RAG you need a storage solution, which is a vector-store in most cases. When you have the task to build the infrastructure for such a use case, you have to decide which database to use. Sometimes, the best solution is not the biggest one. Then you should go serverless to a smaller solution, which fits the use-case better. In this post, I introduce some of the solutions and aid you in deciding which one to choose.
