Generate Strongly Typed React Components with GraphQL

Mat Warger AWS, GraphQL, JavaScript, Programming, Technology Snapshot Leave a Comment

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.

Using Amazon ElastiCache for Redis To Optimize Your Spring Boot Application

Brandon Klimek AWS, Java, Spring, Spring Boot, Technology Snapshot 1 Comment

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.

AWS AppSync with Lambda Data Sources

Mat Warger AWS, GraphQL, JavaScript, Technology Snapshot, Tutorial Leave a Comment

The power of GraphQL lies in its flexibility. That is especially the case regarding resolvers, where any local or remote data can be used to fulfill a GraphQL query or mutation.

In this post, I’m going to demo a quick example of what this looks like, and a couple gotchas that were apparent in working with Lambdas as a data source for AppSync. Let’s gooooo!

Go Forth and AppSync!

Mat Warger AWS, GraphQL, JavaScript, Technology Snapshot 1 Comment

In a previous post, we discussed the basics of GraphQL and how it can be a great REST API alternative. In this one, we’ll see how AppSync can be more than just a great API alternative — it gives you a soft landing into the world of GraphQL.

Recall our Game API example? Let’s start with the basic type of a game. Follow along and we can implement a simple schema in AppSync together….

AWS Lambda with Spring Boot

Greg Emerick AWS, Java, Spring, Spring Boot, Technology Snapshot 6 Comments

The typical deployment scenario for a Spring Boot application in AWS involves running the Java application on an EC2 instance 24 hours a day. Of course, the application could be deployed in AWS ECS as a Docker container, but it still runs continuously on an EC2 instance. In each case, the EC2 instances need to be monitored and you pay for compute capacity used by that EC2 instance.

AWS Lambda provides low cost compute with zero maintenance. Lambda runs your code on demand, without provisioned and managed servers. Lambda automatically runs and scales your code. You are charged for every 100ms your code executes and the number of times your code is triggered. If the code isn’t running, you pay nothing.

Lambda has clear cost and maintenance benefits. But what does it take to run the standard Spring Boot application as a Lambda? How does it work? What are the drawbacks? These are the questions that will be answered in this blog through a tangible example…