Systems | Development | Analytics | API | Testing

When creating production-level applications, enterprises want to ensure the high availability of services. This often results in a lengthy development process that requires extensive testing for the applications or a new release. This involves testing the behavior of the application under load, measuring the performance metrics, and accounting for the resource consumption. All this is done to ensure that the application does not behave unexpectedly when being used by clients.

Happy New Year from the Yellowfin team to our valued customers and partners, and welcome to our 2024 recap! As Yellowfin's new General Manager (GM), I'm excited to share our progress in 2024 and our vision for 2025. Yellowfin is committed to empowering your organization with smarter business intelligence (BI) solutions that drive data-driven decisions.

2025 is going to be a big year for fintech. Many regulations, collaborations, and innovations that have emerged in 2024 will improve how fintech businesses engage with their customers in 2025. The market was already projected to be more than $608.35 billion by 2029. The valuation is only going to increase in the coming year. With all the changes in banking, payments, investment, and other financial sectors, the fintech space is up for substantial developments in 2025.

Invoice scanning software is a tool that helps businesses process invoices quickly and accurately by digitizing and extracting critical information from them. It uses technologies like optical character recognition (OCR) to read invoice details such as vendor names, dates, amounts, and line items. This software is especially useful for accounts payable teams and businesses that deal with a high volume of invoices, making their financial processes faster and more reliable.

In this tutorial, you will learn how to work with the gRPC Golang library for microservice communication by creating a simple note-taking application. You will generate a gRPC client that is highly efficient and has a service implementation that handles a diverse range of request and response types. APIs and service-to-service communication are what make modern microservice architecture possible.

Today, the demand for high-quality applications has never been greater. Agile methodologies, coupled with the rise of continuous integration and delivery (CI/CD), have significantly increased the frequency of software releases. Companies now deploy updates daily or even multiple times a day, placing immense pressure on QA teams to ensure reliability without slowing down the development pipeline.

Imagine you’re testing a specific feature in an app, say the login page. You’ve already run your test cases, and things look fine, but you want to go further. What if you hammer this one feature repeatedly, trying to break it by using unexpected inputs or extreme scenarios? Gorilla testing is an approach that is preferred when we are trying to understand in depth about a particular functionality.

Did you know that 52% of marketers say maintaining an active presence across multiple social media platforms was their biggest challenge in 2024? With billions of users across Instagram, LinkedIn, TikTok, and Facebook, the stakes for brands have never been higher. But trying to manage all these platforms without the right tools? That’s burnout waiting to happen.

APIs have never had more connections and requests for data. With variable data types, changing programming languages, and a demand for high performance, even with an increased focus on authentication mechanisms and data security, it’s never been more critical to figure out the efficiency of your systems. Enter GraphQL and gRPC.

The world of business intelligence (BI) and analytics has evolved from descriptive to predictive, and now, to generative. Generative AI, a cutting-edge technology, is making its mark in embedded analytics solutions. These powerful AI analytics tools are assisting business users in analyzing their data sources more quickly and easily, generating new data sets for deeper insights, and helping make the embedded BI experience more accessible for more people.