Systems | Development | Analytics | API | Testing

Kong is a 2023 Customers' Choice in Gartner Peer Insights Voice of the Customer for Full Life Cycle API Management

Today we’re honored to announce Kong has been recognized as a 2023 Customers’ Choice in the Gartner® Peer Insights™ for Full Life Cycle API Management. We believe this endorsement highlights the trust and passion Kong’s customers have for Kong’s cloud native API platform to deliver speed and scalability, unleash developer productivity, and ensure security and governance But hey — don’t take our word for it.

How to use test charters for effective exploratory testing?

Exploratory testing is a dynamic and creative approach to software testing that emphasizes your freedom and responsibility to adapt to changing testing conditions. However, without a clear direction or purpose, getting lost in testing without achieving meaningful results can be easy. This is where test charters come in. In this article, we will explore what test charters are and how to use them to optimize your exploratory testing process.

What is the modern data experience?

Business is won or lost based on the quality of the experience you deliver to customers, partners, vendors, and employees. These experiences are built entirely on data. Harnessing data to deliver value is the single most powerful way to engage today’s demanding consumers—not to mention capturing market share and accelerating strategic decision-making. But there's a problem.

Top 7 Toolkits for Developing Qualitative Data Analysis Software

Data-driven research, a product of using interdisciplinary scientific methods for extracting knowledge, is taking over the globe. According to McKinsey & Company’s Marketing Insights, data-driven organizations are 23 times more likely to acquire customers and 6 times as likely to retain them! Also termed “the fourth paradigm of science”, data-driven research has created opportunities for big data analysis in science and other industries.

Python Tips: 10 Tricks for Optimizing Your Code

Python is a universal language that is widely used in various industries. In this post, we’ll look at 10 tricks that can help you optimize your Python code, regardless of your Python framework. From following coding conventions and meaningful names to using exceptions for error handling and taking advantage of built-in functions, these tips will help you write cleaner, faster and more maintainable code.