Systems | Development | Analytics | API | Testing

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What are Preview Environments?

Local preview environments are transforming how developers test and validate code changes before merging them into the main codebase. Acting as temporary cloud environments, they provide a production-like setting where new features and bug fixes can be tested in isolation, catching issues early and streamlining the development code review process. These environments are crucial for enhancing development velocity, especially in CI/CD workflows used by DevOps engineers and QA teams.

Best Practices for Insurance Underwriting Case Management

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.

Why Using Outdated Versions Hurts Your System! | Kafka Client Mistakes

Keeping your Apache Kafka clients up-to-date is critical for maximizing performance, security, and stability. In this video, we discuss why sticking with old versions could be putting you at risk, since it means you’re missing out on dozens of new features, and hundreds of bug fixes and security patches. Learn why upgrading is more than just a “nice-to-have”—it’s essential for a smoother and safer Kafka experience.

Everything You Need To Know About Api Testing

In the realm of software development, Application Programming Interfaces (APIs) serve as the backbone for communication between different software systems. As APIs become increasingly integral to modern applications, ensuring their reliability and functionality is paramount. One crucial aspect of this is testing API endpoints thoroughly. In this guide, we’ll delve into API endpoint testing, exploring its importance, best practices, and tools to streamline the process.

Building Interactive Applications with Choreo WebSocket Services

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.

AI in FinTech Market: Everything you need to know

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.

Cloudera and AWS Partner to Deliver Cost-Efficient and Sustainable Infrastructure for AI and Analytics

As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. Cost has been a key consideration in public cloud adoption from the start. Today, energy efficiency is gaining importance, not only for cutting costs but also as a vital step toward sustainable business practices. By optimizing energy consumption, companies can significantly reduce the cost of their infrastructure.

Katalon Ranks Among North America's Fastest-Growing Companies on the 2024 Deloitte Technology Fast 500

ATLANTA, GA - November 2024 - Katalon, a leading provider of software test automation solutions, is thrilled to announce it ranked 111th on the Deloitte Technology Fast 500, a ranking of the 500 fastest-growing technology, media, telecommunications, life sciences, fintech, and energy tech companies in North America. Katalon grew 1073% over the past three years, solidifying its position as a driving force in the evolution of software testing.

Enterprise Java Beans: Definition With Examples

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.