Jeremy H - March 4, 2024 API-first development prioritizes designing and building application programming interfaces (APIs) before any other components of the application. This approach ensures that APIs, which allow different software systems to communicate, are central to the development process.

When it comes to cloud data warehousing, the choice between Snowflake vs BigQuery is crucial for businesses that rely on big data analytics for decision-making. Snowflake, known for its flexibility and ease of use, contrasts with BigQuery, Google’s fully-managed, serverless data warehouse that excels in speed and scalability. Understanding the main differences between these two platforms is essential for selecting the right solution that aligns with your data strategy and operational needs.

In this article, we’re diving deep into the nuts and bolts of creating a private API gateway. From the initial installation to securing your API with keys and roles, we’ll walk you through every step of the process. Whether you’re looking to connect to a Microsoft SQL Server database or any other popular database, DreamFactory makes it a breeze, automating the tedious parts and letting you focus on what matters most: your data.

Application programming interface (API) automation testing is a type of automated testing that focuses on the performance and functionality of APIs. This process can test APIs for correctness, compatibility, and efficiency. API automation testing can ensure that APIs function properly and meet consumers’ expectations. Here’s the key things to know about API automation testing: Table of Contents.

An API’s main purpose is to allow multiple applications to communicate with one another. However, APIs can easily be made more secure and efficient through API gateways which provide a unified entry point across internal APIs. This unified entry point allows for greater control over user access and helps elevate API security measures like rate limiting while also applying security policies like OAuth or JWT. Plus, API gateways are extremely beneficial for securing microservices.

Snowflake and Oracle Autonomous Data Warehouse are two cloud data warehouses that provide you with a Single Source Of Truth (SSOT) for all the data that exists in your organization. You can use either of these warehouses to run data through business intelligence (BI) tools and automate insights for decision-making. But which one should you add to your tech stack?

Do you have a ton of data sources and do not know how to expose them? Do you know you need a Microsoft SQL Server API but don’t know where to begin to build it? Look no further, DreamFactory can take any database and generate a fully documented and secure REST API faster than making a sandwich. All you need is your database credentials and DreamFactory will handle the rest, instantly generating Swagger API documentation and securing your API by way of API keys.

You might have heard the rumors circulating in the tech world—PHP, the venerable programming language, isn’t as secure as its modern counterparts. With roots tracing back nearly three decades, PHP soared to popularity during the early days of the web, when security practices were still finding their footing.

API testing is a critical part of the software development lifecycle. If you’re not performance testing your APIs, you’re putting your entire system at risk. API testing is the process of verifying and validating the functionality, reliability, performance, and security of an API to ensure it meets its requirements and behaves as expected. This guide will discuss the importance of testing and how to test APIs.

Apigee is a cloud-based API management tool. It integrates data from databases, warehouses, data lakes and SaaS services. It is a no-code tool making it a valuable asset for citizen integrators and developers alike. However, the platform was initially designed to build APIs for monoliths. It was not designed to handle microservices. Given we are in the age of digital transformation where microservices rule, Apigee may not be suitable for a lot of use cases.