Sometimes using a graphical user interface isn’t enough to fulfill your daily tasks, especially when you start automating your testing routines. Imagine a scenario, when you perform a regression test on a piece of functionality every time you push a new release or merge your code to a particular branch. It would be a nightmare to manually run those tests every time, especially if your team is rather large and you’re practicing continuous delivery.

The more services you have running across different clouds and Kubernetes clusters, the harder it is to ensure that you have a central place to collect service mesh observability metrics. That’s one of the reasons we created Kuma, an open source control plane for service mesh. In this tutorial, I’ll show you how to set up and leverage the Traffic Metrics and Traffic Trace policies that Kuma provides out of the box. If you haven’t already, install Kuma and connect a service.

Digital twin technology has been around for years. But recently, industries have started to leverage it as a cost-effective method for creating prototypes to test, analyze, and study real-world simulations. Learn more about digital twins and get digital twin examples to learn how they could help you build bigger and better products.

Ever since Salesforce acquired Heroku back in 2010, the two services have worked exceptionally well together. Businesses can use Heroku to build flexible and scalable applications while utilizing Salesforce to manage customer data and drive sales. And when you need to share data between these two platforms, there’s a dedicated add-on: Heroku Connect.

The application programming interface (API) is a piece of middleware technology that helps programs talk to each other and improves business workflows. Previous schools of thought categorized APIs as a tool to be kept within the business however recent innovations with APIs show the technology is capable of doing so much more. Thanks to API innovations and evangelists, we’re now on the verge of a new API golden age where businesses rise and fall by the strength of their integrations.

Whether you’re adding to your app ecosystem or working on a full digital transformation business strategy, your aim is a smooth enterprise integration process. But when you’re working with multiple programming languages, brands, or operating systems, it can get complicated quickly. API integration is now critical to business functionality in an increasingly technical world. It’s the best way to avoid compatibility issues with all your apps and opens the door for future implementations.

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. The primary purpose is to present the most up-to-date operational events for the user to stay on top of the business needs and take action as changes happen in real-time.