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Websites and apps are slowly starting to integrate more collaborative features as a means of increasing interactivity and the functionality of various use-cases. Be it a collaborative document or a chat room, one common feature is to show who else is in the space with you. Typically this’ll be done with an Avatar Stack, a collection of icons, each representing a client connected to the space.

From accurately tracking the opening and closing of financial markets to preserving the history of posts and research papers by properly saving the times they were created, edited, and deleted, software engineers must understand how to handle dates and times in their applications. The concept of dates and times is especially important in programming. All programming languages enable developers to manage dates and times in their applications.

The industrial metaverse might seem like something from an advanced, sci-fi universe far in the future, but the building blocks of this concept are already present and functioning today. The early stages of a digital ecosystem, which will blend the real and virtual worlds, can already been seen across industries like architecture, transportation, and manufacturing.

This article is based on Ballerina Swan Lake Update 7.2. Today, I want to share insights into implementing GraphQL subgraphs in Ballerina. But before we dive into coding, let's take a moment to understand GraphQL federation and the problems it solves. Ballerina Swan Lake WSO2 is an open-source and cloud-native programming language optimized for integration GraphQL Federation is a way to build a unified GraphQL API by combining multiple GraphQL services.

We use them to manage users’ log-in sessions, impose time-outs, display dates when content was posted and show the most recent publications to users. This is crucial to a variety of apps, from digital diaries to diet and exercise planners, and onto travel-booking resources. As our user bases become more geographically diverse, so time management gets even more important.

Two names that have been making waves with their distinct approaches to building web apps are Next.js and Vite.js. Next.js is a React framework specialized in server-side rendering (SSR), static site generation (SSG), and hybrid applications. It provides features like file-based routing, image optimization, and is particularly suited for projects where SEO and fast initial load times are priorities.

Data is the cornerstone of your business. Appian 23.4 builds on this foundation with our AI, data fabric, and process automation capabilities—making it even easier to get value from your enterprise data. With the new self-service analytics capability, your business users can now securely access your data fabric to browse data catalogs, build reports, and chat with Appian AI Copilot to ask questions about their data.

Appian 23.4 is here! As usual, this release is full of new and enhanced capabilities that speed up development and make your work easier. Read on for the highlights, and watch the 23.4 Product Announcement webinar or read the release notes for more on what’s new in this release.