By 1996, developers had already made Java popular for its friendly APIs and automated Garbage Collection, and they started using it widely in back-end systems. One problem, however, was that most of these systems needed the same set of standard capabilities – such as persistence, transaction integrity, and concurrency control – which the JDK lacked at that time. That, naturally, led to many home-grown, closed implementations.

AI has been making waves in all industries, including FinTech. Not hearing this for the first time? Well, we know how much you’re already aware about AI and its applications. But do you know to what extent AI is futurizing the FinTech world? You better not just read, take a look at what statistics say… ‍In 2023, AI in FinTech sector was valued at approximately 42.83 billion USD, increasing to 44.08 billion USD by 2024.

In modern applications, real-time interactions have become the norm. Users demand real-time communication in apps like chat platforms, collaborative tools, live streaming services, and games. WebSocket APIs provide an effective means of creating interactive real-time apps by allowing persistent, bidirectional communication between the client and the server.

Underwriting management is a delicate balance of speed and accuracy. If the underwriting ingestion and decision process is too slow, insurance companies risk losing customers to competitors. On the other hand, hasty underwriting decisions can lead to unprofitable risks in the portfolio. To tackle these challenges, many insurance companies have undergone modernization initiatives.

The world of software development is undergoing a huge transformation, due to the emergence of artificial intelligence (AI). AI-powered tools and methodologies are reshaping how we write, test, and deploy code, which is making our programming faster, more efficient, and more accessible. In this blog, we’ll explore the concept of code with AI, its applications, benefits, and its potential to redefine the future of technology. So, let’s dive in!

Hashing is a cornerstone of computer science, used extensively in data structures, cryptography, and distributed systems. Among various hashing algorithms, MurmurHash stands out for its speed, efficiency, and suitability for non-cryptographic applications. In this blog, we will delve into what MurmurHash is, when to use it, and how it compares to other hashing techniques, along with practical examples.

JSON, which stands for JavaScript Object Notation, is a lightweight data-interchange format that offers a way to store and exchange data that is simple to read and write. It can be viewed as a format for organizing data so that different programs can understand it. It is frequently used for transmitting data in web applications between a server and a client. JSON logs are log entries that are formatted in JSON.

We’re not trying to coin a new era, but it’s pretty clear now how ordering groceries online has become a go-to option for Gen Zs and Millennials alike. Wherever you are, there’s likely a grocery delivery service that’s ready to bring what you need right to your door. Globally, this market is expected to keep booming, with an impressive growth rate projected at 11.81% from 2024 to 2029, which would bring its value to a whopping $1,347 billion by 2029.

We are excited to introduce a new feature in Choreo that provides the ability to register and consume third-party services through connections. This feature empowers developers to seamlessly integrate external services such as Twillio, Salesforce, etc. with their Choreo applications, opening up a world of possibilities for creating more robust and versatile applications.

PostgreSQL's EXPLAIN command is a powerful tool that provides insights into how a query will be executed. It helps developers and database administrators identify potential performance issues in their queries. In this blog, we will explore what EXPLAIN is, when to use it, how to interpret its output, and techniques for optimizing queries based on the insights it provides.