I also put the cold starts measured in the part 19 into the tables to see both cold and warm starts in one place. The results of the experiment below were based on reproducing more than 100 cold and approximately 100.000 warm starts for the duration of our experiment which ran for approximately 1 hour. Here is the code for the sample application. 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. Abbreviation c is for the cold start and w is for the warm start.

The results of the experiments to retrieve the existing product from the database with all approaches by its id with Lambda functions 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 functions first.

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.

Link: https://swr.vercel.app/

Now, it's time to consume our API. We'll use React for this tutorail, but feel free to use any other framework you prefer; the process remains the same. Additionally, we'll utilize SWR to fetch data from the API and TypeScript to ensure type safety.

'use client'; import FormPostUpdate from './components/FormPostUpdate/FormPostUpdate'; import FormDelete from '../app/components/FormDelete/FormDelete'; import { useFetch } from './hooks/useFetch'; import { useFetchSWR } from './hooks/useFetchSWR'; import Chart from './components/Chart/Chart'; export default function Home() { // Uncomment the code below and comment out the "useFetch" code if your want to use SWR for data fetching --> https://swr.vercel.app/docs/with-nextjs // const { data, error, isLoading } = useFetchSWR( // 'http://127.0.0.1:8000/api/anime/' // ); // Uses the Fetch API for data fetching const { data, error, isLoading } = useFetch( 'http://127.0.0.1:8000/api/anime/' ); if (error) return

An error has occurred.

; if (isLoading) return

Loading...

; console.log(data); return ( <>

POST: Add Anime Form

UPDATE: Update Anime Form

Select an ID from the list. You can change the data for Anime ID, Name and Release.

DELETE: Delete Anime Form

GET: Anime Data List

{data.map((anime) => (

• {anime.anime_name}

• ID: {anime.id}
• Anime ID: {anime.anime_id}
• Anime Release Year: {anime.anime_release}

))}

); }

There are libraries like SWR, RTK Query, and React Query that simplify the data fetching process on the client and take care of the state, error handling, caching, and re-fetching for you.

Then install the package SWR into your application with the following command:

SWR

I would suggest taking a look at SWR [0]. I think it strikes a very nice balance between using fetch and something more heavy-handed like React Query.

[0] https://swr.vercel.app/

Check out the official documentation for SWR here

SWR: A React Hooks library for remote data fetching. It supports features like caching, revalidation, error handling, prefetching, pagination, and support for SSG and SSR. Its bundle size is 10kb minified and 4.4kb gzipped

SWR Library