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.

I’ve just got off a call with one of the largest banks in Sweden, and my brain is racing with ideas. I need to get this down on paper. I want to drop everything I’m doing and spend the next week in that mental headspace where all you do is explore and live and breathe a topic, with occasional breaks for sleep, after which you race out of bed so you can go back to where you left off. You know what I mean. What’s got me so fired up? Climate change.

This is how we set up Bitrise's internal platform’s GCP environment for teams to host their infrastructure resources.

If you found this article, chances are you already know why you need a solid eCommerce and ERP integration. After all, ERP is kinda of the backbone of any online shop; a master system, if you like, that allows you to effectively handle sales orders and order fulfillments, manage your supply chain and B2B partners, and keep track of the inventory, especially if you sell on multiple channels.

The testing landscape has changed over time to include automated and functional testing as the baseline, but there are still ways to improve your testing because even with a fully automated continuous testing pipeline, there can still be the possibility of bugs existing in your passing tests. One of the ways to mitigate this is by adding visual testing to your testing pipeline.

Asking the right questions of your data and knowing what you are looking to find is a critical component for gaining insights from your data that drive specific actions. Data is not black and white; there is so much you can do with it. Accordingly, two people with the same data can come up with very different insights. This is because so much depends on the specific problem to be solved and the approach you take to solve it.