API
Manual API Testing with Postman – A Beginner-Friendly Guide – Spritle software
Introduction APIs, or Application Programming Interfaces, are the invisible connectors that let different software systems talk to each other.They make it possible for apps to share data, perform actions, and deliver seamless user experiences.Whether you’re ordering food or checking maps, APIs are working behind the scenes.In this blog, we’ll explore what APIs are, how they…
OpenAI unveils Responses API, open source Agents SDK, letting developers build their own Deep Research and Operator
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI is rolling out a new suite of APIs and tools designed to help developers and enterprises build AI-powered agents more efficiently. These are delivered atop some of the very same technology powering its own first-party…
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Adapt Third-Party API Security to Three Specific Use Cases
COMMENTARY API security often involves third-party, rather than first-party, APIs, and each use case can have different requirements. Rather than trying to make one technological approach work for all instances, security and risk management leaders must adapt their approach to the specific use case. According to a recent Gartner survey, 71% of IT leaders report…
Master API Testing: The Ultimate Guide to Integration & Performance
In today’s digital landscape, APIs (Application Programming Interfaces) play a crucial role in connecting systems, applications, and services. With the growing reliance on APIs, ensuring their reliability, security, and performance through rigorous testing is essential. This guide explores the core components of an effective API testing methodology, covering different testing types, best practices, and tips…
Meet LOTUS 1.0.0: An Advanced Open Source Query Engine with a DataFrame API and Semantic Operators
Modern data programming involves working with large-scale datasets, both structured and unstructured, to derive actionable insights. Traditional data processing tools often struggle with the demands of advanced analytics, particularly when tasks extend beyond simple queries to include semantic understanding, ranking, and clustering. While systems like Pandas or SQL-based tools handle relational data well, they face…