ReactJS

My first steps towards learning React

Oct 28, 2019

4 min read

As a developer, I know I am always excited to learn the new, cool tech as soon as it comes out. Different people do it for different reasons; some do it to increase their knowledge bank, while for others it could be an add on to ease down their existing work and so on. That’s how I took my first step towards learning React.

The very initial stage for me was understanding how React was different and its benefits.

Basics of React

Create interactive UI components and React renders it for you on any data change.
It’s component based, build encapsulated components and they can manage their state.

React for beginners

What do we understand when we see the below statement.

const element = <h1>Hello, world!</h1>;

This is JSX an extension to Javascript that helps us create React Components. When we look at what our JSX code actually looks like on the execution.

const element = <h1>Hello, world!</h1>;
var appRoot = document.getElementById('app');  
ReactDOM.render(element,appRoot);

While it’s compiled it’s changed to:

var element = React.createElement("h1", null, "Hello, world!");  
var appRoot = document.getElementById('app');  
ReactDOM.render(element, appRoot);

Components, Props and State

The three main pillars of React are: components, props, and state. The entire code is built around these pillars. Elements are the smallest building blocks of React. Let’s start with creating a simple component and render the same.

import React from "react";  
import ReactDOM from "react-dom";

import "./styles.css";

function Counter() {  
  const count = 0;  
  return (  
    <div className="App">
      <h1>Counter:{count}</h1>
      <button>Increment</button>
      <button>Decrement</button>
      <button>Reset</button>
    </div>
  );
}

const rootElement = document.getElementById("root");
ReactDOM.render(<Counter />, rootElement);

We have two types of components:

Function Component: It accepts the props and returns a React Element. We also call it a functional stateless component because, being a simple JavaScript function, it does not allow the use of useState() in the component. They just receive input as props and return output as JSX: (props) => JSX. However, React Hooks made it possible to have a state in Function Components. I'll explain this towards the end.
Class Component: It extends React.Component and creates a render function which returns a React Element.

So while we work on creating a presentational component, we must use a function component. For containers, we use class components.

React controls the data flow in the components with state and props. The data in states and props are used to render the Component with dynamic data. So the rule here says “Props go down(from parent to children) and events go up(from children to parent”).

Let’s take another example to understand props, events, and state.

import React from "react";
import ReactDOM from "react-dom";

import "./styles.css";
class Counter extends React.Component{
  constructor(props){
      super(props);
      this.handleaddOne=this.handleaddOne.bind(this);
      this.handleminusOne=this.handleminusOne.bind(this);
      this.handlereset=this.handlereset.bind(this);
      this.state={
          count:props.count
      };
  }
  handleaddOne(){
    this.setState((prevState)=>{
     return{
         count: prevState.count+1
     };
    });
 }
 handleminusOne(){  
     this.setState((prevState)=>{
     return{
         count: prevState.count-1
     };  
    });  
 }  
 handlereset(){  
    this.setState((prevState)=>  
    {  
return{  
 count:0  
};  
    });  
 }  
 render(){  
     return(  
     <div>  
       <h1>Count:{this.state.count}</h1>
       <button onClick={this.handleaddOne}>Increment</button>
       <button onClick={this.handleminusOne}>Decrement</button>
       <button onClick={this.handlereset}>Reset</button>
     </div>
 )};  
}

Lifting the State Up

Another major concept of React is Lifting the State Up. In React a component cannot pass information straight to its sibling. Instead, the information must travel through a common parent. The process of giving the correct components access to the right information is called lifting state. The props flow vertically down maintaining their local state, while at the same time there are multiple components that can share the same props. Hence maintaining the state both vertically and horizontally across the application gets tough. This is where lifting the state up comes into the picture. Here is a small demo for the same.

import React, { useState } from "react";
import ReactDOM from "react-dom";
import Button from "./Button";
import "./styles.css";

function App() {
  const [counter, setCounter] = useState(0);

  const incrementCounter = () => {
    setCounter(counter + 1);
  };

  return (
    <div className="App">
      <h1>Hello</h1>
      <Button
        counter={counter}
        onClick={() => {
          incrementCounter();
        }}
      >
        Example
      </Button>
    </div>
  );
}

const rootElement = document.getElementById("root");
ReactDOM.render(<App />, rootElement);

The component is a Button :

import React from "react";
export default props => {
  return (
    <button onClick={props.onClick}>
      {props.children} clicked {props.counter} time
    </button>
  );
};

For another working demo on lifting state you can check out below link: Lifting State Source Code

Hooks

The above example also covers the concept of “Hooks” in React. Hooks help you in state management without the use of classes. I feel it’s a boon for the beginners who are trying to learn React as it eases down the state management. Hooks are even beneficial in code reusability, creating custom hooks helps us achieve that. But for now, we have plenty of them to explore like "useSate, useEffect, useRedux, useReducer etc".

Let's take examples for a few Hooks to get a better picture.

useState: By importing useState in your code you’re signalling the intent to hold some kind of state inside your React component. And more important, that React component shouldn’t be an ES6 class anymore. It can be a pure and simple JavaScript function. This is the most appealing thing of the hooks story. Here is an example.

import React, {useState} from 'react';

function HooksDemo() {
  const [count, setCount] = useState(0);
  return (
    <div>
      Count: {count}
      <button onClick={() => setCount(0)}>Reset</button>
      <button onClick={() => setCount(count + 1)}>+</button>
      <button onClick={() => setCount(count - 1)}>-</button>
    </div>
  );
}
export default HooksDemo;

The first value, count in this case, is the current state (like this.state) and the second value setCount is a function used to update the state (first) value. The 0 in useState(0) function is the Initial Value of that particular state.

useEffect: useEffect is similar to componentDidMount and componentDidUpdate of React Lifecycles.

function EffectHook() {
  const [count, setCount] = useState(0);

  useEffect(() => {
    document.title = `You clicked ${count} times`;
  });

  return (
    <div>
      <p>You clicked {count} times</p>
      <button onClick={() => setCount(count + 1)}>Click me</button>
    </div>
  );
}

whenever you click on the button, the title text will change the number of counts. For example.. You clicked (n) times.

There are many exciting features that React offers us to explore. The topics I covered are some basic concepts that I learned as a beginner. I hope this helps people who are looking for a start.

This article was written by Megha Sachdev who is a Software Engineer at This Dot.

You can follow them on Twitter at @_megsachdev.

This Dot is a consultancy dedicated to guiding companies through their modernization and digital transformation journeys. Specializing in replatforming, modernizing, and launching new initiatives, we stand out by taking true ownership of your engineering projects.

We love helping teams with projects that have missed their deadlines or helping keep your strategic digital initiatives on course. Check out our case studies and our clients that trust us with their engineering.

Demystifying React Server Components

React Server Components (RSCs) are the latest addition to the React ecosystem, and they've caused a bit of a disruption to how we think about React. Dan Abramov recently wrote an article titled "The Two Reacts" that explores the paradigms of client component and server component mental models and leaves us with the thought on how we can cohesively combine these concepts in a meaningful way. It took me a while to finally give RSCs the proper exploration to truly understand the "new" model and grasp where React is heading. First off, the new model isn't really new so much as it introduces a few new concepts for us to consider when architecting our applications. Once I understood the pattern, I found an appreciation for the model and what it's trying to help us accomplish. In this post, I hope I can show you the progression of the React architecture in applications as I've experienced them and how I think RSCs help us improve this model and our apps. A "Brief" History of React Rendering and Data-Fetching Patterns One of the biggest challenges in React since its early days is "how do we server render pages?" Server-side rendering (SSR) is one of the techniques we can use to ensure users see data on initial load and helps with our site's SEO. Without SSR, users would see blank screens or loading spinners, and then a bunch of content would appear shortly after. An excellent graphic on Remix's website demonstrates this behavior from the end user's perspective and it's a problem we generally try to avoid as developers. This problem is so vast and difficult that we've been trying to solve it since 2015. Rick Hanlon from the React Core Team reminded us just how complicated this problem was recently. If you think react is complicated now, go back to 2015 when you had to configure babel and webpack yourself, you had to do SSR and routing yourself, you had to decide between flow and typescript, you had to learn flux and immutable.js, and you had to choose 1 of 100 boilerplates— Ricky (@rickhanlonii) January 28, 2024 But SSR has its issues too. Sometimes SSR is slow because we need to do a lot of data fetching for our page. Because of these large payloads, we'll defer their rendering using lazy loading patterns. All of a sudden we have spinners again! How we've managed these components has changed too. Over the years, we've seen a variety of patterns emerge for managing these problems. We had server-side pre-fetching where we had to hydrate our frontends application state. Then we tried controller-view patterned components for our lazily loaded client-side components. With the evolution of React, we were able to simplify the controller-view patterns to leverage hooks. Now, we're in a new era of multi-server entry points on a page with RSCs. The Benefits of React Server Components RSCs give us this new paradigm that allows us to have multiple entries into our server on a single page. Leveraging features like Next.js' streaming mode and caching, we can limit what our pages block on for SSR and optimize their performance. To illustrate this, let's look at this small block of PHP for something we might have done in the 2000s: index.php ` For simplicity, the blocks indicate server boundaries where we can execute PHP functionality. Once we exit that block, we can no longer leverage or communicate with the server. In this example, we're displaying a welcome message to a user and a list of posts. If we look at Next.js' page router leveraging getServerSideProps, we would maybe write this same page as follows: pages/posts.jsx ` In this case, we're having our server do a lot to fetch the data we need to render this page and all its components. This also makes the line between server and client much clearer as getServerSideProps runs before our client renders, and we're unable to go back to that function without an API route and client-side fetch. Now, let's look at Next.js' app router with server components. This same component could be rendered as follows: app/posts/page.tsx ` This moves us a bit closer back to our PHP version as we don't have to split our server and client functionality as explicitly. This example is relatively simple and only renders a few components that could be easily rendered as static content. This page also probably requires all the content to be rendered upfront. But, from this, we can see that we're able to simplify how server data fetching is done. If nothing else, we could use this pattern to make our SSR patterns better and client render the rest of our apps, but then we'd lose out on some of the additional benefits that we can get when we combine this with streaming. Let's look at a post page that probably has the content and a comments section. We don't need to render the comments immediately on page load or block on it because it's a secondary feature on the page. This is where we can pull in Suspense and make our page shine. Our code might look as follows: app/posts/[slug]/page.jsx ` Our PostComments are a server component that renders static content again, but we don't want its render to block our page from being served to the client. What we've done here is moved the fetch operation into the comments component and wrapped it in a Suspense boundary in our page to defer its render until its content has been fetched and then stream it onto the page into its render location. We could also add a fallback to our suspense boundary if we wanted to put a skeleton loader or other indication UI. With these changes, we're writing components similarly to how we've written them on the client historically but simplified our data fetch. What happens when we start to progressively enhance our features with client-side JavaScript? Client Components with RSCs All our examples focused on staying in the server context which is great for simple applications, but what happens when we want to add interactivity? If you were to put a useState, useEffect, onClick, or other client-side React feature into a server component, you'd find some error messages because you can't run client code from a server context. If we think back to our PHP example, that makes a lot of sense why this is the case, but how do we work around this? For me, this is where my first really mental challenge with RSCs started. Let's use our PostComments as an example to enhance by in-place sorting the section from the server. ` In this example, we're using a server component the same way as our previous example to do the initial data fetch and stream when ready. However, we're immediately passing the results to a client component that renders the elements and enhances our code with a list of sort options. When we select the sort we want, our code makes a request to the server at a predefined route and gets the new data that we re-render in the new order on screen. This is how we might have done things without RSCs before but without a useEffect for our initial rendering. If you're familiar with the old controller-view pattern, this is relatively similar to that pattern, but we have to relegate client re-fetching to the view (client) component, where we might have had all fetch and re-fetch patterns in the controller (server) component Another way to solve this same problem is leveraging server actions, but that would cause the page to re-render. Given the caching mechanisms in Next.js, this is probably fine, but it's not the user experience people are expecting. Server actions are a topic of their own, so I won't cover them in this post, but they're important for the holistic ecosystem experience in the new mindset. Interleaving Nested Server & Client Components These examples have shown a clean approach where we keep our server components at the top of our rendering tree and have a clear line where we move from server mode to client mode. But one of the advantages of RSCs is that we can interleave where our server component entry points may exist. Let's think about a product carousel on a storefront page for example. We may have built this as follows before: ` Here we're rendering carousels that render their cards and our tree goes server -> client -> server. This is not allowed in the new paradigm because the React compiler cannot detect that we moved back into a server component when we called ProductCards from a client component. Instead, we would need to refactor this to be: ` Here, we've changed ProductCarousel to accept children that are our ProductCards server component. This allows the compiler to detect the boundary and render it appropriately. I'd also recommend adding Suspense boundaries to these carousels but I omitted it for the sake of brevity in this example. Some Suggested Best Practices Our team has been using these new patterns for some time and have developed some patterns we've identified as best practices for us to help keep some of these boundaries clear that I thought worth sharing. 1. Be explicit with component types We've found that being explicit with component types is essential to expressing intent. Some components are strictly server, some are strictly client, and others can be used in both contexts. Our team likes using the server-only package to express this intent but we found we needed more. We've opted for the following naming conventions: Server only components: component-name.server.(jsx|tsx) Client only components: component-name.client.(jsx|tsx) Universal components: component-name.(jsx|tsx) This does not apply to special framework file names but we've found this helps us delineate where we are and to help with interleaving. 2. Defer Fetch when Cache is Available If we're trying to render a component that is a collection of other components, we've found deferring the fetch to the child allows our cache to do more for us in rendering in cases where the same element may exist in different locations. This is similar to how GraphQL's data loaders works and can ideally boost the performance of cached server components. So, in our product example above, we may only fetch the IDs of the products we need for the ProductCards and then fetch all the data per card. Yes, this is an extra fetch and causes an N+1, but if our cache is in play, end users will feel a performance gain. 3. Colocate loaders and queries If you're using GraphQL or need loading states for components for Suspense fallback, we recommend colocating those elements in the same file or directory. This makes it easier to modify and manage related elements for your components in a more meaningful way. 4. Use Suspense to defer non-essential content This will depend on your website and needs. Still, we recommend deferring as many non-essential elements to Suspense as possible. We define non-essential to be anything you could consider secondary to the page. On a blog post, this could be recommended posts or comments. On a product page, this could be reviews and related products. So long as the primary focus of your page is outside a Suspense boundary, your usage is probably acceptable. Conclusion RSCs represent a significant evolution in the React ecosystem, offering new paradigms and opportunities for improving the architecture of web applications. They enable multiple server entry points on a single page, optimizing server-side rendering, and simplifying data fetching. RSCs allow for a clearer separation between server and client functionality, enhancing both performance and maintainability. To make the most of RSCs, developers should consider best practices such as being explicit with component types, deferring fetch when caching is available, colocating loaders and queries, and using Suspense to defer non-essential content. Embracing these practices can help harness the potential of React Server Components and pave the way for more efficient and interactive web applications. We're excited about this development in the React ecosystem and the developments happening across teams and frameworks that are opting into using them. While Next.js offers a great solution, we're excited to see similar enhancements to Remix and RedwoodJS....

Feb 2, 2024

9 mins

ReactNextJSArchitecture

CSS Hooks: A new way to style your React apps

In the world of web development, the management of styles has always been a crucial aspect of building modern and responsive user interfaces. With the rise of CSS in JS libraries like Material UI and Chakra, developers have started creating dynamic and reusable styles using JavaScript; however, the performance implications of these libraries have led to the exploration of alternative solutions. One such solution is CSS Hooks, a library that offers a different approach to managing styles in web applications. The Problem with CSS in React and CSS in JS Libraries In React applications, you typically write styles directly with the style prop by applying classes with className, or if you’re using a framework like Material UI or Chakra then you may use the sx attribute, which is more powerful than the baseline attributes. There are some performance concerns in the case of the sx attribute specifically. The framework has to dynamically generate classes with your styles and apply them to the document whenever it is used. This can become an issue with large and complex applications as your styles will be regularly regenerated on the fly as the user navigates through the application. This has led developers to seek alternative solutions that offer similar flexibility but with better performance. Introduction to CSS Hooks CSS Hooks improve upon the aforementioned issues by pre-generating your CSS using configuration hooks. The styles that these hooks generate remain static during the lifetime of the application and are reused wherever possible. CSS variables are utilized under the hood whenever dynamic behavior is needed. By dynamic behavior, I’m referring to advanced CSS features such as pseudo-class selectors and media queries, which are both traditionally unavailable for use with inline styles. CSS Hooks utilize an interesting trick under the hood to accomplish this, which we will now explore. The Power of CSS Variables and the Fallback Trick As mentioned before, CSS variables are utilized in order to support using advanced dynamic behavior such as pseudo-selectors in our inline styles. CSS variables are core to something known as the “fallback trick”. The gist of how the fallback trick works is to have the pseudo-selector or media query toggle the state of a variable between initial and an empty invalid value, and then we put the value that we actually want to toggle as the “fallback” value in the reference to the CSS variable inside of the inline style itself. Changing this fallback value inside of an inline style essentially allows us to control the values used by the pseudo-selector without having to regenerate linked stylesheets as we only have to change the inline style attribute. This is best explained with an example: ` This plain HTML and CSS code effectively allows us to utilize the focus pseudo-selector on any element that we want using inline styles only. This is what CSS Hooks effectively does in the background when you use dynamic styles. No nasty re-renders and mucking with stylesheets needed! How to use CSS Hooks Now that we know how CSS Hooks fundamentally work, let’s try using them. The library itself is much easier to use than the aforementioned example. Installation and usage of CSS Hooks is easy. Firstly, we must install the @css-hooks/react package into a React project with the package manager of your choice (npm, pnpm yarn, etc). Once that’s done, all that’s left is a little bit of configuration. You have to first use a utility function called createHooks that is exported from the package we just installed. The result of that function returns a couple of variables in an array that can be deconstructed, the first being a stylesheet in the form of a string, and the second being a function. ` I recommend putting this in a separate file that can be imported from multiple other places in the project as this is where we will be configuring hooks across the project. We’re exporting both hooks and css, and both are important. We need to include hooks into the DOM as it contains the styles of the hooks that we’ll be referencing in our components. In your root component you need to add the following tag so that the generated CSS can be used. ` How this is done may vary based on the libraries that you are using. After that’s done, you can integrate CSS Hooks into your components while writing inline styles mostly just like you would do normally, with the only change being the addition of an additional call to the css function that we exported earlier: ` Now that the core boilerplate is set up, your components can now utilize CSS Hooks in theory; however we need to actually add some hooks to start with before we can use them, or else we’ll just be limited to basic styles in the same way that React inline styles are. Make your own hooks We can define our hooks inside of the css-hooks file that we created earlier, the same one that exports the css helper function that gets CSS Hooks working with our components. Hooks are defined in the options parameters that are currently empty. Defining a simple hook that allows us to define inline hover styles for a component is very easy and can be done as follows: ` Although both the key and the value in this example are the same, they both serve different purposes. The key is the name of the hook that we reference when we want to use it, while the value is the spec. The spec is the actual CSS selector that we’re writing. The name can be anything that you want it to be so long as it doesn’t clash with any existing style properties or hooks. Recommended hooks Although making your own hooks may be necessary at times, there is another repository provided by the CSS Hooks authors that adds a way to generate many useful hooks called @css-hooks/recommended. I highly recommend using this library to generate your hooks if at all possible, and the usage is pretty simple. Here’s an example showing how you can use it to generate media queries, color scheme specific styles and pseudo-selectors: ` Then with that done, these can be utilized as follows: ` We can also modify the hooks configuration to add our own hooks in addition to the recommended hooks by using the spread operator: ` Then that custom hook can be used by simply using its key name: ` Summary CSS Hooks offers a performant alternative to traditional CSS in JS libraries by leveraging CSS variables and providing a unique approach to managing styles in web applications. By pre-generating the stylesheet based on configured hooks and utilizing CSS Variables for dynamic behavior, developers can create reusable styles without the performance overhead associated with dynamic stylesheet generation. If you're interested in exploring CSS Hooks further, be sure to check out @CSSHooks for more information. You can also find some of the examples demonstrated here in a working app in our demos repository. Thank you for reading!...

Feb 28, 2024

5 mins

CSSReact

End-to-end type-safety with JSON Schema

End-to-end type-safety with JSON Schema I recently wrote an introduction to JSON Schema post. If you’re unfamiliar with it, check out the post, but TLDR: It’s a schema specification that can be used to define the input and output data for your JSON API. In my post, I highlight many fantastic benefits you can reap from defining schemas for your JSON API. One of the more interesting things you can achieve with your schemas is end-to-end type safety from your backend API to your client application(s). In this post, we will explore how this can be accomplished slightly deeper. Overview The basic idea of what we want to achieve is: * a JSON API server that validates input and output data using JSON Schema * The JSON Schema definitions that our API uses transformed into TypeScript types With those pieces in place, we can achieve type safety on our API server and the consuming client application. The server side is pretty straightforward if you’re using a server like Fastify with already enabled JSON Schema support. This post will focus on the concepts more than the actual implementation details though. Here’s a simple diagram illustrating the high-level concept: We can share the schema and type declaration between the client and server. In that case, we can make a request to an endpoint where we know its type and schema, and assuming the server validates the data against the schema before sending it back to the client, our client can be confident about the type of the response data. Marrying JSON Schema and TypeScript There are a couple of different ways to accomplish this: * Generating types from schema definitions using code generation tools * Creating TypeBox definitions that can infer TypeScript types and be compiled to JSON Schema I recommend considering both and figuring out which would better fit your application and workflows. Like anything else, each has its own set of trade-offs. In my experience, I’ve found TypeBox to be the most compelling if you want to go deep with this pattern. Code generation A couple of different packages are available for generating TS types from JSON Schema definitions. * https://github.com/bcherny/json-schema-to-typescript * https://github.com/vega/ts-json-schema-generator They are CLI tools that you can provide a glob path to where your schema files are located and will generate TS declaration files to a specified output path. You can set up an npm hook or a similar type of script that will generate types for your development environment. TypeBox TypeBox is a JSON Schema type builder. With this approach, instead of json files, we define schemas in code using the TypeBox API. The TypeBox definitions infer to TypeScript types directly, which eliminates the code generation step described above. Here’s a simple example from the documentation of a JSON Schema definition declared with TypeBox: ` This can then be inferred as a TypeScript type: ` Aside from schemas and types, TypeBox can do a lot more to help us on our type-safety journey. We will explore it a bit more in upcoming sections. Sharing schemas between client and server applications Sharing our JSON Schema between our server and client app is the main requirement for end-to-end type-safety. There are a couple of different ways to accomplish this, but the simplest would be to set up our codebase as a monorepo that contains both the server and client app. Some popular options for TypeScript monorepos are: PNPM, Turborepo, and NX. If a monorepo is not an option, you can publish your schema and types as a package that can be installed in both projects. However, this setup would require a lot more maintenance work. Ultimately, as long as you can import your schemas and types from the client and server app, you are in good shape. Server-to-client validation and type-safety For the sake of simplicity, let's focus on data flowing from the server to the client for now. Generally speaking, the concepts also apply in reverse, as long as your JSON API server validates your inputs and outputs. We’ll look at the most basic version of having strongly typed data on the client from a request to our server. Type-safe client requests In our server application, if we validate the /users endpoint with a shared schema - on the client side, when we make the request to the endpoint, we know that the response data is validated using the user schema. As long as we are confident of this fact, we can use the generated type from that schema as the return type on our client fetch call. Here’s some pseudocode: ` Our server endpoint would look something like this: ` You could get creative and build out a map that defines all of your endpoints, their metadata, and schemas, and use the map to define your server endpoints and create an API client. Transforming data over the wire Everything looks stellar, but we can still take our efforts a bit further. To this point, we are still limited to serialized JSON data. If we have a created_at field (number or ISO string) tied to our user, and we want it to be a Date object when we get a hold of it on the client side - additional work and consideration are required. There are some different strategies out there for deserializing JSON data. The great thing about having shared schemas between our client and server is that we can encode our type information in the schema without sending additional metadata from our server to the client. Using format to declare type data In my initial JSON Schema blog post, I touched on the format field of the specification. In our schema, if the actual type of our date is a string in ISO8601 format, we can declare our format to be "date-time". We can use this information on the client to transform the field into a proper Date object. ` Transforming serialized JSON Data This can be a little bit tricky; again, there are many ways to accomplish it. To demonstrate the concept, we’ll use TypeBox to define our schemas as discussed above. TypeBox provides a Transform type that you can use to declare, encode, and decode methods for your schema definition. ` It even provides helpers to statically generate the decoded and encoded types for your schema ` If you declare your decode and encode functions for your schemas, you can then use the TypeBox API to handle decoding the serialized values returned from your JSON API. Here’s what the concept looks like in practice fetching a user from our API: ` Nice. You could use a validation library like Zod to achieve a similar result but here we aren’t actually doing any validation on our client side. That happened on the server. We just know the types based on the schema since both ends share them. On the client, we are just transforming our serialized JSON into what we want it to be in our client application. Summary There are a lot of pieces in play to accomplish end-to-end type safety. With the help of JSON Schema and TypeBox though, it feels like light work for a semi-roll-your-own type of solution. Another great thing about it is that it’s flexible and based on pretty core concepts like a JSON API paired with a TypeScript-based client application. The number of benefits that you can reap from defining JSON Schemas for your APIs is really great. If you’re like me and wanna keep it simple by avoiding GraphQL or other similar tools, this is a great approach....

Apr 17, 2024

6 mins

JSONTypeScript

Transforming Platform Engineering Through Chargeback Programs with Shuchi Mittal

Shuchi Mittal, the Head of Cloud enablement at Honeywell, discusses how she as a leader in platform engineering has been able to transform internal platform engineering teams at other organizations by providing teams with value-added services, and how they effectively managed costs. She talks about how to treat these teams as customers, and delivering services that meet the customer needs, but also charging them for their usage. By providing policy-compliant infrastructure and unique services tailored to their requirements, platform engineering teams can showcase their commitment to supporting the success of other teams within an organization. This approach not only fosters trust but also positions platform engineering as a strategic partner rather than just a service provider. By going beyond the basic infrastructure provisioning, the platform engineering team can offer services that help development and product teams streamline their processes and improve efficiency. Shuchi shares her work at Fiserv where she implemented a chargeback system to track usage and costs effectively, incentivizing better development practices. This not only helped in managing costs but also encouraged teams to optimize their resource utilization, leading to improved overall efficiency and more easily scalable systems. Her platform engineering team recognized the importance of effectively managing financial aspects to secure upfront investment for product development. By implementing a billing system based on gigabyte hours, they aligned costs with usage, enabling teams to have a clear understanding of their resource consumption. This approach not only provided transparency but also incentivized teams to adopt cost-effective practices. By strategically managing financial aspects, the platform engineering team gained the trust of stakeholders and secured the necessary resources to drive innovation and deliver value to the organization. Shuchi’s journey of platform engineering serves as a valuable example of how a team can transition from being a basic service provider to becoming an innovation partner within an organization. By building trust, offering value-added services, and strategically managing financial aspects, the platform engineering team successfully elevated their role and became a strategic enabler of innovation. Download this episode here....

Apr 16, 2024

2 mins

Engineering LeadershipSoftware Engineering

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