Hi Community,

The new video from Global Summit 2019 is already on InterSystems Developers YouTube:

Automated InterSystems IRIS Cloud Scaling

https://www.youtube.com/embed/4O2Nr5f_0vo
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Hi Developers,

Enjoy watching the new video on InterSystems Developers YouTube:

Resilient Deployments in the Cloud

https://www.youtube.com/embed/dBDQvFRBlZQ
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Database systems have very specific backup requirements that in enterprise deployments require forethought and planning. For database systems, the operational goal of a backup solution is to create a copy of the data in a state that is equivalent to when application is shut down gracefully. Application consistent backups meet these requirements and Caché provides a set of APIs that facilitate the integration with external solutions to achieve this level of backup consistency.

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Breaking news!

InterSystems just announced the availability of the InterSystems IRIS for Health™ Data Platform across the Amazon Web Services, Google Cloud, and Microsoft Azure marketplaces.

With access to InterSystems unified data platform on all three major cloud providers, developers and customers have flexibility to rapidly build and scale the digital applications driving the future of care on the platform of their choice.

To learn more please follow this link.

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Hi Community!

Please welcome a new video on InterSystems Developers YouTube Channel:

Choosing a Public Cloud

https://www.youtube.com/embed/v-0SROpYqRA
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Hey folks,

I am new to IRIS and cloud platforms. I've done the InterSystems IRIS Experience on the learning site and read a lot of the online documentation. What I am unable to figure out is which type of package or option you will use on the cloud provider.

AWS for example, has AWS EC2, Elastic Beanstalk and some other products geared towards Docker containers.
Azure has Kubernetes and some other options.

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++Update: August 2, 2018

This article provides a reference architecture as a sample for providing robust performing and highly available applications based on InterSystems Technologies that are applicable to Caché, Ensemble, HealthShare, TrakCare, and associated embedded technologies such as DeepSee, iKnow, Zen and Zen Mojo.

Azure has two different deployment models for creating and working with resources: Azure Classic and Azure Resource Manager. The information detailed in this article is based on the Azure Resource Manager model (ARM).

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