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Webinar: Performance Monitoring and Continuous Integration for Mobile Applications in the Cloud

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Webinar: Performance Monitoring and Continuous Integration for Mobile Applications in the Cloud

· Cloud Zone ·
Free Resource

Learn how to migrate and modernize stateless applications and run them in a Kubernetes cluster.

This post comes from Sylvia Vu at the New Relic blog.

As more and more companies are turning to cloud-based services to build and run mobile back-end services, understanding these device-to-cloud interactions has become increasingly crucial to building successful mobile applications. That’s why New Relic and CloudBees invite you to join our mobile experts as we explore this important topic. We’ll take an in-depth look at monitoring the performance of mobile applications’ interaction with cloud-based, back-end services and will cover:

  • How to implement near-real-time data synchronization between SQL and NoSQL enterprise databases and mobile data stores using the CloudBees platform, with built-in monitoring of both the mobile app and the back-end services.
  • How you can use New Relic’s Mobile ALM services to understand in detail how network traffic performance affects your mobile applications – and, crucially, user experience – when those applications need to make heavy use of cloud-based data services.
  • How to do continuous integration (using Jenkins, the world’s number one OSS continuous integration platform) for real-world mobile applications that use location-based services: we’ll cover automated testing of iOS and Android applications, integration with the ALM monitoring service, beta test distribution and real-time crash reporting.

The webinar takes place Tuesday, September 17th at 10:00 a.m. PT / 12:00 am CT / 1:00 pm ET. Space is limited, so make sure you register today.

And don’t forget, if you’re a CloudBees customer you get New Relic Standard free of charge.

Join us in exploring application and infrastructure changes required for running scalable, observable, and portable apps on Kubernetes.


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