Systems | Development | Analytics | API | Testing

In the world of SaaS (Software as a Service) industry, customer-centricity is crucial since it has a direct impact on the success, growth, and sustainability of SaaS businesses. With the industry being highly competitive, retaining clients is equally important as acquiring new ones. At Databox, our mission is to offer a business analytics platform that makes it as easy as possible for everyone in a company to monitor, analyze, benchmark, and improve performance in one spot on any device.

Discover how API management and service mesh can go hand in hand toward secured platforms Over the last ten years, Kongers have witnessed hundreds of companies adopting a full lifecycle API management platform and have been working with the people behind the scenes, the “API tribes.” We’ve also learned from the field that API tribes most often have to deal with heterogeneous platforms, infrastructures, and clouds.

In today’s digital age, APIs have become the backbone of many businesses, enabling seamless integration and communication between applications, platforms, and users. As the demand for APIs grows, so does the need for effective API management and monetization. In this post, we’ll compare two leading API platforms, Moesif and Apigee, focusing on their monetization features.

The ability to call a PostgreSQL stored procedure from an API allows for rapid development in a secure way. Rather than writing database queries to interact with your data you can utilize an API that can be rapidly developed and reused many times. The reusability of APIs and using stored procedures means if you are scaling from a single backend application to hundreds your APIs will not change. Table of Contents.

You’ve probably heard of the Internet of Things (IoT); all those everyday objects that incorporate computing functions. For example, the IoT allows you to connect your phone to your refrigerator. This way, you can know exactly what to buy at the supermarket for that impromptu dinner that night. Perhaps you’re part of a DevOps team, using microservices and containers to build and deploy legacy and cloud-native applications quickly and iteratively.

It's not hard, it's just new. How can you, your business unit, and your enterprise utilize the exciting and emerging field of Generative AI to develop brand-new functionality? And once you’ve figured out your use cases, how do you successfully build in Generative AI? How do you scale it to production grade?

Imagine this: You're documenting an unreleased feature, and your documentation requires screenshots. However, you're working in an internal environment that includes features you don't want to reveal to the public. What do you do? We faced this exact situation during the API Summit release when we needed to capture screenshots of the new Kong Konnect Plus dashboard while our internal environment also showcased Mesh Manager features.