Progress Kinvey is a modern platform for rapidly building complex enterprise apps and scalable consumer app experiences.
Kinvey™ is a serverless application development platform to develop multichannel apps which are deployed on a cloud backend that will auto-scale to the highest levels, while integrating with existing cloud and legacy systems across data and auth.
“To the cloud!” is the modern IT battle cry. As developers, we embrace the cloud as a means of accessing virtually unlimited resources and modern APIs. As startup CEOs, we see how the cloud enables us to go-to-market faster than ever before.
A big part of the “cloud” is this concept of cloud functions—core business logic running on high-availability and high-performance servers. This means we have to migrate our app functions in order to access these powerful resources. A nice side effect is securing and obscuring code from prying eyes.
Join us on Thursday, April 9 at 1:00 pm ET for “How to Migrate Your Business Logic to the Cloud”. We will touch on topics such as:
Gain insight into app usage and performance with Operational intelligence, delivering standard and customizable dashboards for analytics focused on end user experiences across performance optimization, compliance events, root cause analysis and more.
Simple setup and management of modern app environments using web console or CLI tools that integrate with popular devops toolchains to enable continuous integration and automated deployment.
Engage your users with built-in Push Notifications, Email, SMS, Location and Live data where backend changes are pushed down to the app or device in real-time
Store, secure, and accelerate your data with built-in end-to-end data storage and synchronization. This includes cloud caching, CDN, client-side caching, synchronization policies, conflict resolution and delta sync to optimize data transfers
Kinvey Microservices Runtime defines business events using serverless functions and microservices in node.js. Business Logic is commonly used to enable Triggering messages such as email and push notifications on developer-defined changes in the data store.
Further differentiate your apps and experiences with cognitive services by automating the data science lifecycle across building models, data preparation, and model management.
Integration and Security
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