sample-microservices VS intellij-plugins

Skyramp provides a sample project, sample-microservices, which serves as an excellent starting point for demonstrating testing and mocking with a full-featured distributed application. The application is based on Google's Online Boutique repo, which is an e-commerce store consisting of 11 different microservices. The docker-compose-demo branch referenced above showcases how Skyramp can be seamlessly integrated with Docker Compose for testing microservices with no local setup required. You can also clone the repository and explore the structure of the microservices setup for your own purposes.

Now, let's get into the nitty-gritty of how to generate tests for your distributed applications using Skyramp. We will use our tried and true sample-microservices repo on GitHub, which is an 11-tier distributed app with REST support already configured for deployment to a Kubernetes cluster. The app itself is a complete web-based e-commerce store created by Google, known as Online Boutique.

Our starting point is the hot-code-reload-demo branch in Skyramp's letsramp/sample-microservices GitHub repo. You can use your browser to navigate to the correct branch in the repo here. The sample-microservices repo contains a demo project based on GCP's Online Boutique with added support for REST and Thrift APIs. This sample e-commerce application is perfect for demonstrating cloud-native development and testing, including debugging with Hot Code Reload with Skyramp.

This blog features the Skyramp fork of Google’s popular cloud-native microservices demo app, Online Boutique. Online Boutique is a web-based e-commerce app containing microservices that mimic real-world services, such as a product catalog, shopping cart, ad service, recommendation service, payment service, and others. The services use gRPC APIs by default, but Skyramp has also added support for REST and Thrift APIs.

We figured the community could benefit from this project. So I’m here to share it with you, and to get your invaluable feedback. We hope to keep maintaining this project with your help and insights. Please let me know what you think. All feedback will be super appreciated!

For these demonstrations, I'm using IntelliJ IDEA, equipped with the Kotlin Notebook plugin and all necessary dependencies. If you’d like to follow along step-by-step, I recommend setting up your environment similarly. Here is a short installation guide.

Android Studio or IntellijIDEA (configured for Android development) installed and working in your machine.

If you are using an Integrated Development Environment (IDE) like IntelliJ IDEA or Eclipse, you can set environment variables in the configuration settings of your application.

Being somewhat allergic to coding in Java (this is a personal thing, if you like Java then good for you) I decided to try out writing the code using Kotlin from JetBrains instead. I'm already using IntelliJ as I work with Apache Spark using Scala, so the tooling was already there and ready to go for this.

IntelliJ (look for the community edition) on the other hand offered great out-of-box Groovy support including IntelliSence, building, and running features. So, I sticked with it 😊

I readily admit I am not familiar enough with fossil to know about the impedance mismatch, but I'll point out that https://github.com/JetBrains/intellij-plugins/tree/idea/241.... https://github.com/JetBrains/intellij-community/tree/idea/24... https://github.com/JetBrains/intellij-community/tree/idea/24... https://github.com/JetBrains/intellij-community/tree/idea/24... may a long way toward finding how they think about those operations

jetbrains.com — Productivity tools, IDEs and deploy tools (aka IntelliJ IDEA, PyCharm, etc). Free license for students, teachers, Open Source and user groups.

I've always used IntelliJ IDEA, other IDEs start feeling useless once you go down the Jetbrains path 😅

I offer, again, my JetBrains GrammarKit counterpoint from the last time that assertion came up <https://news.ycombinator.com/item?id=38192427>

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I consider the JetBrains parsing system to be world class and they seem to hand-write very few (instead building on this system: https://github.com/JetBrains/Grammar-Kit#readme )

- https://github.com/JetBrains/intellij-community/blob/idea/23... (the parser I'll concede, as they do seem to be hand-rolling that part)

- https://github.com/JetBrains/intellij-community/blob/idea/23... (same for its parser)

- https://github.com/JetBrains/intellij-community/blob/idea/23... and https://github.com/JetBrains/intellij-community/blob/idea/23...

- https://github.com/JetBrains/intellij-plugins/blob/idea/233.... and https://github.com/JetBrains/intellij-plugins/blob/idea/233....