Systems | Development | Analytics | API | Testing

Inertia, cynicism, and doubt can make it difficult for organizations to commit to digital transformation. Employees, executives, and stakeholders might resist digital transformation initiatives even after you explain its benefits. It often takes more than explaining benefits. You get the best results when you can build a community of digital transformation evangelical’s who gets others excited about adopting new technologies.

Executing on your API strategy requires agile, iterative software development life cycles (SDLC) that are both responsive and provide a degree of structure and predictability to the way in which technology is deployed. Mature organizations that have mastered digital transformation have done so by leveraging the power of Application Programming Interfaces (APIs) within SDLC concepts to connect back-end data sources with front-end applications.

As companies adopt more apps and microservices they need reliable ways for them to interact with each other and legacy systems. API management platforms offer the best way to open communication between diverse digital assets. As you explore API management platforms, you will probably learn about Kong and Dell Boomi.

The applications that are crucial to running almost any type of business often face a variety of challenges. Connecting applications and data with IT systems is necessary for keeping your business running successfully. Automation is critical to a variety of modern business processes and functions – having this automation achieved via APIs is becoming an ever increasing popular solution used by IT departments.

Businesses have been adopting more apps over the last decade. The right applications make it easier for them to communicate with customers, analyze data, improve efficiency, and refine their business practices. The number of apps used by businesses jumped incredibly during 2020 as the pandemic made it more difficult or impossible for employees to work from their offices. As organizations rely more heavily on diverse applications, they need reliable API management tools with self-service features.

In order to gain an advantage over their competitors and improve customer experience, organizations of all sizes and industries are using new technologies to undergo digital transformation. According to IT research and advisory firm Gartner, 87 percent of senior business leaders say that digital modernization of their company is a top priority. An emerging theme of many digital transformations relates to ‘application integration’ – but why do these have such a close association?

Conventional wisdom says that new app development projects should begin as monolithic systems. This perspective suggests that you should wait until later to refactor the monolith into a microservices-based architecture — i.e., don’t use microservices until your use-case and scaling demands require them. But is this viewpoint still correct?

Traditionally, companies purchased the technology they needed to complete tasks efficiently and accurately. Today’s technology doesn’t evolve in a straight line, though. It grows at an exponential rate that shortens the life span of tools. When technology moves so quickly, an organisations needs to adopt a hyper selective approach – and in doing so move towards the phenomenon of the ‘composable enterprise’.

When many CIOs look at their technology assets they often see a random collection of applications, legacy systems, microservices and hardware. It can be difficult to make sense of an organisations technology-stack and how these seemingly disparate components are integrated and connected.

The Heroku cloud platform has long been a popular solution for teams seeking a convenient application hosting solution. Today we’re thrilled to contribute to the Heroku ecosystem with the release of our DreamFactory Heroku Add-on. Heroku users can now launch hosted DreamFactory instances directly from the Heroku dashboard, and easily generate APIs for a wide variety of data sources, including PostgreSQL.