Articles tagged with "level-300"

TL;DR with aws-sso-util and awsume sso and codecommmit is easy

DynamoDB supports complex data types like lists. In this post we take a look at different ways to interact with lists. We will use Python to write code that may be used in a data access layer to manipulate items with list attributes.

I was helping a customer with a Amplify App. This later turned into a meetup, where we are building a photo sorting application using AWS Amplify for the backend and Quasar for the frontend. This is the third article in a series that lets you follow along with the development process in your own time.

CDK Lambda Deployment takes about a minute - how about sub second Function Code Deployment? Creation of Lambda infrastructure with the CDK is really powerful. Updating the Function code is really slow. Here is a fix for that to get to a sub-second Lambda function deployment time.

I was helping a customer with a Amplify App. This later turned into a meetup, where we are building a photo sorting application using AWS Amplify for the backend and Quasar for the frontend. This is the second article in a series that lets you follow along with the development process in your own time.

I was helping a customer with a Amplify App. This later turned into a meetup, where we are building a photo sorting application using AWS Amplify for the backend and Quasar for the frontend. This is the first article in a series that lets you follow along with the development process in your own time.

Data modelling in NoSQL databases is different from what we’re used to in the relational world. In this article we’ll talk about the process of data modelling in DynamoDB, single-table design and how to build a basic data access layer using python. We’ll explore these concepts by building a product catalog for a simple webshop that supports different query patterns and basic inventory management.

In this post I’ll introduce DynamoDB, a very powerful fully managed NoSQL wide-column data store in AWS. We will talk about data structures, the APIs to read and write data, indexes, as well as performance and cost considerations. In the end you will gain a solid understanding of the basics, which will serve as a starting point for further research.