dwmkerr.com

tl;dr: Run DynamoDB locally using Docker: docker run -d -p 8000:8000 dwmkerr/dynamodb Try it out by opening the shell, localhost:8000/shell: That’s all there is to it! DynamoDB Amazon DynamoDB is a NoSQL database-as-a-service, which provides a flexible and convenient repository for your services. Building applications which use DynamoDB is straightforward, there are APIs and clients for many languages and platforms. One common requirement is to be able to run a local version of DynamoDB, for testing and development purposes.

If you are interested in improving your Node.js debugging skills, then check out my talk at the recent JSChannel 2016 conference in Bangalore: Comments and observations are always welcome!

I’ve finally had a chance to install the new Docker for Mac Beta and give it a whirl. In this article I’m going to talk a bit about how Docker works, the challenges of running Docker on a Mac or Windows and how the new Beta helps. Below: The welcome message for the new Docker for Mac app So What is Docker for Mac? If you don’t know what Docker is, check out my article Learn Docker by Building a Microservice or the lovely What is Docker page from the docs.

I recently decided to try out the Go Programming Language, by building a little project called google-it which let’s me run a google search from a terminal: The idea behind the project is simple - avoid jumping into a browser if you need to quickly look up something which you can find in the first line of a Google search result. The idea is to try and stay in the zone.

Yikes, this took far too long to figure out! I have a service which takes plain text multi-line input and outputs an object for each line, something like this: Input Line 1 Line 2 Line 3 Output [ {line: "Line 1"}, {line: "Line 2"}, {line: "Line 3"} ] There’s a bit more to it than that, but that’s the gist. I want to test my service with cURL, trying: curl --data "Line 1\nLine 2\nLine 3" \ -H "Content-Type: text/plain" localhost:3000/parse This did not work.

I’ve just finished working on a very large project written in React and Redux. The whole team were new to both and we loved them. I’m going to share my experiences of experimenting in Angular 2 with you, from the point of view of someone who needs a pretty compelling reason to move away from my JSX and reducers. The Journey So Far Let me highlight a few key moments in my UI development experiences, to give a bit of context to my ramblings.

If you are looking to get your hands dirty and learn all about Docker, then look no further! In this article I’m going to show you how Docker works, what all the fuss is about, and how Docker can help with a basic development task - building a microservice. We’ll use a simple Node.js service with a MySQL backend as an example, going from code running locally to containers running a microservice and database.

Feeling like having a go with Facebook’s hugely popular React framework but not sure where to start? In this post I’m going to build a simple React application from scratch - using ECMAScript 6. We’ll put together the bare minimum skeleton of a site and keep the folder structure free of noise and clutter so that you can focus on the app code and not the tooling! The simple app we’ll build is at github.

I’ve been writing a couple of web services lately that use Auth0 for identity management. It’s a great platform that makes working with different identity providers a breeze. One thing that I couldn’t work out how to do at first was to quickly build a new JWT1 from an existing token. I wanted to take my current token, add some more data to it and return it to the user. So here’s a ‘why’ and ‘how’.

I was working on a small and simple application built with AngularJS the other day. As with most applications like this, I start with a single JavaScript file caled app.js and no module system. In the past I’ve used RequireJS with AngularJS. It’s an awful mistake. It leads to a big jump in complexity with no benefts. Angular apps don’t work well with AMDs, so really your are using RequireJS to combine files into one big file.