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React 18: From A Developer’s PoV

React 18, the much-awaited version of React is out with exciting features like automatic batching, a new API –startTransition, and streaming server-side rendering with support for Suspense. What’s so special about this newer version is its unique “concurrent rendering” method. In the earlier versions of React, the rendering process was synchronous and non-interruptible where the UI would lock during long render processes and not respond to user input instantly. Using React 18, the rendering process can be made asynchronous and can be interrupted, paused, resumed, and even abandoned enabling developers to create a more fluid user experience.

How to update from React 17 to React 18?

React 18 is currently released in alpha and can be downloaded using the command 

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A component is usually rendered like this

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However, to utilize the latest features, components need to be rendered like this:

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What’s there in React 18?

Automatic Batching

Automatic Batching is the rendering that occurs at the same time whenever triggered to update with multiple states at once. The previous version of React could only batch updates inside React event handlers. If the multiple state updates are triggered by a promise or a callback, their responses are not rendered at the same time. But with React 18, all renders are batched, meaning they’ll occur at the same time, regardless of their trigger.

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Here’s an example with a promise:

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Suspense

With Suspense, React 18 makes major performance improvements to SSR by making serving parts of an app asynchronously possible. Suspense helps in specifying what React should show when a part of the tree isn’t ready to render. For instance, in case there are four components: a Header, a Sidebar, a Banner component, and the Main component. If all four of them are stacked on each other like this 

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Then, the server would try to render them at once, slowing the entire page down. If the Header, the Sidebar, and the Main are more important for the readers, one can prioritize these over the Banner by wrapping the Banner component in Suspense tags:

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As a result, the server would first serve the Header, Side Bar, and Main component, and then a spinner would be displayed while the Banner waits to load.

Transitions

React apps are interactive, however, to make an app update itself as people interact with it, constant updating might cause the app to slow down significantly and give a poor user experience. Transition is a new React feature that differentiates between urgent and non-urgent updates. Transition updates transform the UI from one view to the next.

  • Urgent updates are the direct interactions like typing, clicking, pressing, etc., that need immediate response to match one’s intuition about how physical objects behave. Otherwise, they feel “wrong”. However, transitions are different because the user doesn’t expect to see every intermediate value on the screen. 

Single-user input should typically result in both an urgent and a non-urgent update for the best user experience. StartTransition API can be used inside an input event to tell React which updates are urgent and which are “transitions”.

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  • Non-urgent updates are wrapped in ‘startTransition’ and would get interrupted if more urgent updates, such as clicks or keypresses, emerge. If a user interrupts a transition (for example, by typing multiple characters in a row), React will discard any stale rendering work and render only the most recent update.

New Hooks

  1. UseId

useId is a new hook for creating unique IDs on both the client and the server while avoiding hydration mismatches. It’s most beneficial for component libraries that need to integrate with accessibility APIs that require unique IDs. This addresses a major problem that existed in React 17 and in its previous versions, but it’s even more critical in React 18 because of how the new streaming server renderer delivers HTML out-of-order.

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  1. useTransition

‘useTransition’ and ‘startTransition’ would allow marking some state updates as not urgent. By default, other state updates are considered urgent. React would allow urgent state updates (for example, updating a text input) to interrupt the non-urgent state updates (for example, count results).

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  1. useSyncExternalStore

‘useSyncExternalStore’ is a new hook that enables external stores to support concurrent reads by forcing updates to the store to be synchronous. It eliminates the necessity for useEffect when implementing subscriptions to external data sources, and is recommended for any library that integrates with a state external to React.

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  1. useDeferredValue

‘useDeferredValue’ helps to delay re-rendering a non-urgent part of the tree. It works in the same way as debouncing, although it offers a few advantages. React will attempt the deferred render directly after the initial render is reflected on the screen because there is no predetermined time delay. The deferred render is interruptible and doesn’t block user input.

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  1. useInsertionEffect

‘useInsertionEffect’ is a new hook that allows CSS-in-JS libraries to address the performance difficulties of injecting styles in the render. Unless you’ve already built a CSS-in-JS library we don’t expect you to ever use this. This hook will activate after the DOM is mutated, but before layout effects read the new layout. useInsertionEffect is even more important in React 18 because React yields to the browser during concurrent rendering, giving it a chance to recalculate the layout.

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Conclusion

With the introduction of React 18, there has been a drastic change in the world of web applications because of its unique offerings like concurrent mode and server-side rendering. The latest feature would make it easier to develop and maintain a code as well as make apps faster and more responsive to user interactions.

About the author:

Manikandan is a Technical Lead at Mantra Labs working on React/Angular-related projects. He is interested in learning about stock analyst trading algorithms, and in his free time, he loves to swim, cook, and play cricket and chess.

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Why Netflix Broke Itself: Was It Success Rewritten Through Platform Engineering?

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Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform. 

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Source: getport.io

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization:  Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

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