apollo-studio-community VS Newman

HINT: Writing the query or mutation syntax can be time-consuming because you have to ensure everything is correct. But no worries, GraphQL is introspective, use this website to see and write your queries and mutations: https://studio.apollographql.com/, just put your GraphQL API and it will show you everything on that API.

I once had to authenticate requests made from Apollo Studio to my local development server. The locally running GraphQL API was using session cookies for authentication. While there were workarounds and configs in order to set cookies correctly for requests sent from Apollo Studio, I wasn't able to reliably make it work. Also, I didn't want to change the cookie configs in my server as it would mess with my frontend setup.

But it seems like in Apollo studio (https://studio.apollographql.com/) and Apollo servers in general, ask for an API link, not a database link.

access-control-allow-origin: https://studio.apollographql.com

Run the service with node index.js command. Navigate to http://localhost:4000/ in your browser. It will open up Apollo Studio.

import express from "express"; import cors from 'cors' import { ApolloServer } from 'apollo-server-express'; import mongoose from 'mongoose'; import { resolvers } from './resolvers/TestResolver'; import { typeDefs } from './typeDefs/typedefs'; const PORT=4000; const startServer=async()=> { const app = express(); const allowedOrigins = [ 'http://localhost:3000', 'http://localhost:3001', 'https://studio.apollographql.com' ]; const corsOptions = { credentials: true, origin: function(origin, callback){ if(!origin) return callback(null, true); if(allowedOrigins.indexOf(origin) === -1){ var msg = 'The CORS policy for this site does not ' + 'allow access from the specified Origin.'; return callback(new Error(msg), false); } return callback(null, true); } } app.use(cors(corsOptions)) var uri = "mongodb://localhost:27017/testmongo"; //@ts-ignore mongoose.connect(uri, { useUnifiedTopology: true, useNewUrlParser: true }) .then(()=>console.log("connected to newmango db")) //rest routes app.get("/", (req, res) => { res.json({ data: "API is working...", }); }); const server = new ApolloServer({ typeDefs, resolvers, }); await server.start(); server.applyMiddleware({ app }); app.listen(PORT, () => { console.log(` Server is running at http://localhost:${PORT}`); }); } startServer().catch(e=>console.log("error strting server======== ",e))

IDEs are test tools to check the correctness of your queries. You can define your queries in the IDE and then send them to the server. The server will return the data that is requested if the query is correct. There are a lot of IDEs available. The most popular and the simplest IDE for GraphQL queries is GraphiQL. The modern clone of GraphiQL is GraphQL Playground. The environment is cleaner and has some advanced features. The recent IDE for GraphQL queries is Apollo Explorer. All-around tools such as Postman and Insomnia are great tools for testing either GraphQL queries or RESTful APIs.

apolloServer.applyMiddleware({ app, cors: false, // cors: { // credentials: true, // // origin: "https://studio.apollographql.com", // origin: "http://localhost:3000", // }, });

Apollo Studio — Apollo Studio is a cloud platform that helps you create, validate, and secure your organization's org chart.

What is the difference or advantage to public graphql api (except rest vs graphQl): https://studio.apollographql.com/ of defichain-income?

There are several testing approaches you can take to ascertain the functionality of the auth API. One way would be to automate the testing using unit tests with tools like Jest and Supertest. Alternatively, you can make use of API clients like Postman or the Thunder Client VS Code extension to test the API.

I'm excited to be speaking at POSTCON, where I will dive into the world of real-time data using Zoom's innovative WebSockets. We'll seamlessly test these functionalities with the help of POSTMAN. This session is designed to give you a glimpse into how we at Zoom are enhancing the real-time capabilities of our platform to ensure faster, more reliable communication. During this session, we'll explore the limitations with Webhooks and why WebSockets are becoming a preferable alternative for real-time, bi-directional communication.

The results of the experiment below were based on reproducing more than 100 cold and approximately 100.000 warm starts with Lambda function with 1024 MB memory setting for the duration of 1 hour. For it I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman.

Testing Tools: Select suitable automated testing tools, such as OWASP Zap and Postman, for security and functionality testing.

Postman - API platform for easy endpoint testing

The results of the experiment to retrieve the existing product from the database by its id see GetProductByIdViaAuroraServerlessV2DataApiHandler with Lambda function with 1024 MB memory setting were based on reproducing more than 100 cold and approximately 10.000 warm starts with experiment which ran for approximately 1 hour. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. We won't enable SnapStart on the Lambda function first.

Use tools like Postman or Insomnia to test the API endpoints and ensure they behave as expected.

Products are available on our Strapi server. We need to be able to send HTTP requests that will allow clients or users to perform CRUD operations on these product resources. Postman will be our tool for making requests to the Strapi REST API.

We will be performing all of the authentication requests manually, however for testing purposes, you might want to use an API testing tool such as Postman or Insomnia.

As you can see in the above diagram, a lambda function is scheduled to be executed periodically by EventBridge. This lambda function retrieves the assets exported from Postman (test collection, environment, and global variables), injects secrets from the secrets manager and executes the tests using the newman npm package, and, in case of failures, updates metrics in CloudWatch and stores test results in the S3 bucket. An alarm is triggered in case the metrics exceed a threshold (in this case, a count of 1).