Event-driven architectures set successful cloud-native organizations ahead of their competition. In cases where loosely coupled microservices will accelerate the design and build processes, EDA is the way to go.
Data security is critical in every industry, but it carries particularly sobering ramifications within the healthcare sector. How does cloud-native technology help shape the healthcare industry’s security landscape?
If you’re ready to upgrade your enterprise software or applications, one of the first questions on your list probably sounds something like this: “should we build the software or buy it from a vendor?” But that’s really not the right question to ask these days.
When was the last time your laptop or smartphone prompted you to install an update? For most of us, it’s on a daily basis. Why? Because today, technology becomes obsolete at lightning speed. Last year’s functionality can’t keep up with today’s consumer expectations.
Modern software development thrives on collaboration and innovation. But those things don’t happen in a vacuum. It takes intentional design and structure to create an environment where teams can innovate quickly, share ideas, and solve problems.
It’s tough to develop good software. It’s even tougher to do it on time and within budget.
In-person meetings are central to the design thinking process. But nobody’s doing anything in person these days. So what exactly does that mean for teams that rely on the vigorous exchange of ideas and contributions from others, when we’re all doing work separately in our homes?
What is the key to a strong business case for software innovation? It’s being able to demonstrate how the initiative will benefit the business not only in the short-term, but also over time.
Over the past decade, we’ve seen an explosion of data that has transformed the way we do business. Companies have data pouring in from dozens of different sources, and that data is tracking customer behavior, purchasing decisions, email interactions, website activity, product preferences, and much more. To gain valuable insights from that data, we need a way to store it efficiently, access it when we need it, and interact with it.
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