Systems | Development | Analytics | API | Testing

Knowing how to execute an API strategy for your organization offers numerous benefits. As today’s business and technology worlds move to cloud-based environments, APIs play an essential role in creating a successful cloud-based infrastructure. Some companies, such as Stripe and Twilio, use great APIs to stand out from their competitors and generate higher revenues. You don’t necessarily need a lot of technical experience to execute an API strategy that delivers quality outcomes.

Many companies have embarked on microservices software projects in an effort to make modernize their suite of technology systems and reap the benefits that can come from deploying such an architecture. In the microservices model, applications are divided into a series of interconnected services based on operational capabilities. Each service supports a distinct set of functionality, effectively acting as a mini-application with its own operational logic, adapters, and even database schema.

Many businesses need to build an API for their customers to use, but many businesses also struggle with making their API easy for customers to use. DreamFactory makes it easier for developers to design RESTful APIs. It builds on the best practices in web-based software development, allowing developers to design RESTful APIs without cumbersome hand-coding. RESTful API design is a critical part of developing APIs, so it’s important to know the best practices for RESTful API design and implementation.

API automation is leading the way for data-driven digital transformation. When developers are able to build modern applications for a variety of devices without having to manage server-side code and complexity, and other departments can tap into a well-designed API documentation system instead of a silo of cumbersome, unorganized code bases, your company will be well on its way to an API-first delivery model.

DreamFactory is best known for its ability to generate REST APIs for databases such as SQL Server, MySQL, and PostgreSQL. While it’s undeniably convenient to gain immediate access to autogenerated API endpoints for interacting tables, views, and stored procedures, projects would quickly run aground if the capabilities ended there.

Integrating Snowflake with MS SQL Server is a common situation we see here at DreamFactory. This article will break down exactly how to integrate MS SQL server and Snowflake and what are the benefits of the integration.

Microservices are a popular and modern organizational software engineering practice. The guiding principle of any microservices implementation is to develop an application by dividing its business components into smaller services that can be deployed and operated independently of each other. The separation of concerns between services is defined as “service boundaries.”

An API essentially paly the role of a software intermediary that allows two applications to talk to each other. Every time you use an application like Facebook, send an instant message, or check the weather on your phone, you are using an API. The API is more than middleware however — it’s grown into an innovative business concept that can transform your business and digital strategy. When using APIs though, there are a variety of mistakes that developers can make.

Microservices are a style of architecture used by many organizations for software development. In the past, the IT industry used monolithic or service-oriented architecture (SOA) solutions as the standard. However, the lack of dynamic scalability of this type of architectural system is no longer adequate for the increasing complexity of today’s infrastructures. Microservices addresses this by providing a highly agile and scalable alternative.

Unlike a traditional monolithic approach, in which all components form an inseparable entity, microservices work in synergy to accomplish the same tasks while being separate. Each of these components or processes is a microservice. Granular and lightweight, this type of software development allows a similar process to be used in multiple applications. This is a key element in optimizing application development for a cloud-native model.