Systems | Development | Analytics | API | Testing

Following the deprecation of Realm, we have partnered with MongoDB to ensure that MongoDB customers can continue to deliver the device sync capabilities their customers depend on. The solution: a MongoDB Connector for the Ably LiveSync product. Ably LiveSync enables you to seamlessly fan-out your MongoDB Atlas state to billions of clients in realtime - ensuring reliable, low-latency delivery of your document data.

What are some common AI/ML use cases? What use cases should business and IT leaders track as they shape a holistic process automation strategy? Let’s find out. Artificial intelligence (AI) refers to computer systems that mimic human thought and decision-making. Within AI, deep learning and machine learning play crucial roles. Deep learning uses neural networks to process large amounts of data and uncover patterns.

In the dynamic world of mobile app development, the speed and simplicity with which you can share builds with testers and stakeholders can be the difference between a successful, on-time, bug-free release – or watching that opportunity fly by. To help your team maximize all of these opportunities, there’s a new feature within Release Management: Build distribution for testing.

Rails 8 is finally here, and it's shaking things up in a pretty exciting way. If you're already active in the Rails community, you might have heard the tagline: "No PaaS Required." This is an unusual (but not surprising) mission—the release is all about making it easier to deploy your Rails apps without needing a fully-featured platform-as-a-service (PaaS).

Kong Konnect is Kong’s infrastructural SaaS solution. We run the control planes and API management applications for the data planes (API gateway and mesh) that are run by our customers to power their APIs. Some of the most critical traffic in the world goes through these data planes. The criticality of Konnect and therefore our customer’s uptime expectations of Konnect are very high.

The reason to adopt a continuous improvement process methodology is simple: incremental and ongoing changes to business processes result in better business outcomes. Many organizations think they need to make big, broad changes to have a meaningful impact. But this kind of change is time consuming and difficult to measure. Continuous improvement efforts are about doing the opposite—small, gradual changes that lead to a sweeping sea change over time.