We are proud to announce the new release of a Hyperledger Fabric Blockchain Browser open source web application. This application utility allows developers and operators of Hyperledger blockchain networks to have visibility into transactions and blocks as they are added to the network.
Capabilities
The KHS Blockchain Browser is a React/Node.js web application that…
When developing in React, using a type system (like Typescript or Flow) can be a great help. You can be sure that your props and state are what you expect, at build-time, and code your components to match.
But what happens when you’re calling to an API to fetch some data, and the shape of that data is what really matters? Maybe the data get passed as props to a child component? You can create types for this, sure, but are they correct? Probably not! Or at least, probably not for long! Things change. Wouldn’t it be great if your types changed too?
In this post, we’re going to take a simple component from zero type awareness to fully typed, with local variables and GraphQL queries included, with a simple workflow. Grab a cup of coffee and a snack, and let’s see how this we can use GraphQL to generate type-safe components in React.
There are many options when it comes to managing the state of a React application. Choosing the right one for your application can feel daunting.
The most popular choice, Redux, is often thought of as verbose because it requires a lot of boilerplate code, thus slowing down development. Redux is also very opinionated so it will take time for those unfamiliar with its functional programming paradigm to become comfortable with it.
In this blog, we’ll take a closer look at an alternative that aims to solve issues in React application state: MobX. To do that, I built a simple calorie counter application that will be used to showcase MobX in use.
What’s the hottest, newest, trending programming language that you should have in your toolset if you don’t already?
Python, baby! In this post, I will give you examples of why Python has taken the number one spot as the most popular language for developers.
Has your project gotten to the point when big data sets and/or time-consuming calculations have begun to affect performance? Or are you struggling to optimize your queries and need to cache some information to avoid continually hitting your database? Then caching could be your solution.
For this article, I will demonstrate how to utilize Amazon ElastiCache for Redis to speed up areas of your application. The example application we will build uses Spring Boot 2.x and is available on Github.