Systems | Development | Analytics | API | Testing

API

How I Simulated A Response From A Third Party App

Whether you’re building a web application, a mobile app, or any other software product, integrating with third-party APIs is almost inevitable. But what happens when you need to test your application’s behavior without relying on these external services? That’s where the magic of simulation comes in handy. In this blog, we’ll explore how you can simulate responses effectively, even if the actual service isn’t available.

Using DreamFactory for Legacy Application Modernization

Many organizations face the challenge of legacy application modernization. DreamFactory, an on-premise API generation and management platform, offers a robust solution for this transition. By enabling the creation of APIs from any data source, automating integration processes, and enhancing security measures, DreamFactory simplifies the modernization of outdated systems.

GitTogether | Open Source Dev Containers with DevPod | Hrittik Roy

Many developers are excited about Dev Containers, but until now, people needed to use a managed service like Codespaces or Gitpod to experience that Dev Container magic. DevPod is a new open-source tool that allows users to launch Dev Containers with any infrastructure they have available. DevPod introduces a way to define a development environment that can then be run on any cloud infrastructure or even on a localhost machine using Docker or Kubernetes locally or on the cloud. This talk is all about how you can use DevPod locally or on cloud to run your developer workloads easily.

From Acquisition to Integration: How SmartBear is Elevating API Development with Stoplight

Back in August, SmartBear acquired Stoplight, a leader in API design and documentation. Since this acquisition, our focus has been on seamlessly integrating Stoplight's open-source tools—Spectral, Elements, and Prism—into SwaggerHub. Our goal is to simplify complex API development tasks and address the common challenges encountered in API development.

Snowflake's New Python API Empowers Data Engineers to Build Modern Data Pipelines with Ease

In today’s data-driven world, developer productivity is essential for organizations to build effective and reliable products, accelerate time to value, and fuel ongoing innovation. To deliver on these goals, developers must have the ability to manipulate and analyze information efficiently. Yet while SQL applications have long served as the gateway to access and manage data, Python has become the language of choice for most data teams, creating a disconnect.

How to Perform Database Analysis with AI

This blog explores how DreamFactory leverages its robust features to perform database analysis with AI, ensuring secure and efficient data operations. We will discuss the platform’s ability to generate dynamic APIs, provide real-time data insights, and maintain stringent security measures to protect data integrity.

Microapps vs. Microservices: the Similarities and Differences

From the end user’s perspective, the microapps and microservices often seem to provide the same functionality. However, development teams need to think about microapps vs. microservices when building products. Before you commit time to microapps or microservices architecture, take some time to consider how these options will affect user experience (UX), user interface (UI), and security of your websites, web apps, and mobile apps.