Systems | Development | Analytics | API | Testing

In today's digital landscape, the shift from traditional storage to cloud platforms is not just a trend—it's a game changer. Navigating this transition seamlessly is paramount for businesses to thrive.

Every day, more companies unlock the potential of artificial intelligence (AI) and machine learning. When AI and machine learning are utilized in embedded analytics, the results are impressive. Much of this can be seen in modern solutions that offer advanced predictive analytics. Together, predictive analytics and AI can help application teams by streamlining processes, generating personalized recommendations, and creating a more intuitive and efficient user experience.

Debugging is essential to any software quality strategy. Here are the top debugging tools you should consider having in your development toolbox.

What company hasn’t been torn between different test strategies and methodologies? With fused testing strategies, you can reap the benefits of methods historically depicted as incompatible. Not just automated vs. manual strategies but dedicated test teams vs. on-demand testers. Beyond that, fused testing integrates your DevOps systems tighter with your QA systems, allowing you to drive new testing based on DevOps feedback.

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?