Can complexity be a good thing? It can be when organizations use it to their advantage. Those are the thoughts of one data integration platform, which came up with the term ‘productive complexity.’ It means organizations like yours can generate value from the complexity of your business processes, especially when it comes to data management. However, to get value from these complex processes, you need to streamline your workflows. Here are some steps to productive complexity.

The API management space is changing – fast. In the past couple of years alone, we’ve seen huge changes in the deployment patterns that our customers are adopting. In the past, when the use cases were fairly simple, organizations would deploy an API gateway as a SaaS monolith in the cloud, sitting at the edge of the network. They did this because it was the best option available at the time, and the first wave of API management vendors like Apigee had a solution that could support it.

More and more in web application testing processes, companies deploy a mix of automated and manual testing frameworks. If implemented correctly, manual and automated application testing practices bring out the best in each other, resulting in a synergetic testing process that wholly benefits the application.

To IT leaders, it’s obvious that data strategy deserves a special place at the table for any discussion about strategic business initiatives. However, for CMOs and CROs like myself, who must justify and weigh expenditures against bottom line impact, investing in customer data typically looks like a red-ink proposition.

In this article, we will take a high-level look at the differences between an API proxy and an API gateway. When a developer publishes a public API, it’s necessary for that API to have security policies and a way to hide backend logic from API consumers. Decoupling your API from your backend services allows you to shield your apps from backend code changes, and allows users to call your API without worrying about availability.

Big data has been revolutionizing the digital marketing landscape: organizations are gathering data from numerous sources; data streams are being collected at unparalleled speeds; and businesses are dealing with a variety of data structures, from emails to user behaviors to financial transactions.