We can use permissions boundaries to give developers and teams more freedom to create their own resources. For forcing them to provide specific tags during resource creation, we need a deeper understanding of how this can be achieved. We talk about the example of creating a security group.
There is a conflict between developer freedom and the requirements of security teams. In this post we’ll look at one approach to address this tension: permission boundaries. They’re an often overlooked part of IAM, but provide a valuable addition to our security toolkit.
MQTT is one of the core protocols that enables IoT applications. In this post we’ll first introduce MQTT and some of the core concepts. We’ll also take a look at AWS IoT Core, the MQTT broker that comes bundled in AWS.
I explain how I built an app that uses Honeycode and an API Gateway backed by a Lambda Function to schedule my blog posts on dev.to.
Most enterprises largely run on Excel. Imagine there was a tool that empowers spreadsheet specialists to build web and mobile apps without writing code. Amazon Honeycode tries to do that. We’ll explore if it’s as powerful as it sounds.
Last week in the AWS slack developer channel once again, somebody was asking: “How can I run a Lambda locally?”. Well, that is a valid question, but there is a chance that you only think you need a local Lambda emulator because you do Lambda Spaghetti! Spaghetti code is a phrase for unstructured and difficult-to-maintain source code. I show you an easier way to test Lambdas locally and have some arguments that a local Lambda runtime should only be the very last resort. On top, you get examples in Pasta-Python, Gemelli-Go and Tortellini-Typescript.
In a previous blog post we built QuickSight Datasets by directly loading files from S3. In the wild the data in S3 is often already aggregated or even transformed in Athena. In this new blog post we see how to create a QuickSight Dataset directly relying on Athena.
Load Balancers are a key component in scalable and fault tolerant architectures. The basic idea is fairly simple, but the implementation involves a fair bit of complexity. In this post I‘ll explain the different components, how they interact, and how requests flow through a load-balanced architecture.
