Systems | Development | Analytics | API | Testing

Regarding charging for API usage, we usually gravitate towards charging per API call. While this can work for many use cases, it’s not optimal for everyone. This is where choosing the right metric to bill upon and finding a platform that supports it is crucial. In this blog, we will talk about choosing the right metric to bill upon and how to implement it in Moesif. Let’s begin by digging into what a billing metric is and how to decide which one is best to use with your AI APIs and services.

DreamFactory's custom SQL endpoints let you create APIs that are tailored to your exact needs, making your data more flexible and powerful. In this article, we will show you how to set up these endpoints, provide practical examples, and explain how to connect endpoints to your external systems.

Machine learning APIs provide developers with powerful tools to integrate complex algorithms and models into applications without building them from scratch. These APIs simplify the development process by offering pre-trained models and standardized methods for different tasks. These include image recognition, natural language processing, and predictive analytics. This accessibility democratizes machine learning so that developers of varying expertise can leverage cutting-edge technology efficiently.

This guest blog was written by Matt Turner from Moesif. Moesif provides insights and tooling for API product owners to activate, understand, and monetize customers.

API testing is the process of verifying that APIs are working and performing as expected. Developers and QA engineers test APIs by sending requests to various API endpoints and validating the responses against expected outcomes. The goal is to determine if the APIs meet the set standards for functionality, performance, scalability, and security. This process includes testing the “happy path” scenarios and negative cases to ensure proper security checks are in place.

Far from being a mere byproduct, data is a hidden gem for any organization. While it's often seen as a technical hurdle, data is actually a powerful business tool. To stay ahead of the curve, companies need to transform into information-driven powerhouses that leverage data as the bedrock of strategic decisions. By recognizing the value of their data and fostering a culture of open information exchange, organizations can unlock a wealth of potential for improvement.

Bitbucket is a robust tool for source code management and continuous integration/continuous deployment (CI/CD). It offers flexibility in setting up pipelines, but there are limitations, particularly around root privileges and mounting volumes. This blog explores these limitations and provides detailed solutions using Docker-in-Docker (DinD) and Linux shell scripts.

Kong has been named to the Forbes 2024 Cloud 100 for the fourth year in a row!

Ruby on Rails is an excellent choice for building a REST API, stemming from its design principles and robust feature set. It encourages a resource-oriented architecture, including built-in routing, migrations, and task tools. Rails also includes Active Record, an Object-Relational Mapping (ORM) layer, which simplifies database interactions.

In the world of software development, quality assurance (QA) is crucial for delivering reliable and robust applications. One of the most effective strategies to enhance software quality is "shift-left testing.".