Google Cloud Platform1.17 млн
Опубликовано 11 апреля 2019, 21:31
There are many reasons why you want to deploy your app in multiple regions. Maybe you're looking for extra resiliency and redundancy, or you want to minimize latency for your globally distributed users. Either way, running code in multiple regions can be challenging. There is a lot of complexity to uncover and limitations to work around.
In this session, we first look at different options when it comes to running code in Google Cloud. Then, we figure out what it takes to run that code in multiple regions. Along the way, we explore the pros and cons of each approach. At the end of the session, you will have a concrete decision tree of the available options.
Build with Google Cloud → bit.ly/2TS6HUR
Watch more:
Next '19 Application Development Sessions here → bit.ly/Next19AppDev
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions
Subscribe to the GCP Channel → bit.ly/GCloudPlatform
Speaker(s): Mete Atamel, James Ward
Session ID: DEV302
event: Google Cloud Next 2019; re_ty: Publish; product: Cloud - Compute - App Engine, Cloud - Containers - Google Kubernetes Engine (GKE), Cloud - Compute - Compute Engine; fullname: James Ward,Mete Atamel;
In this session, we first look at different options when it comes to running code in Google Cloud. Then, we figure out what it takes to run that code in multiple regions. Along the way, we explore the pros and cons of each approach. At the end of the session, you will have a concrete decision tree of the available options.
Build with Google Cloud → bit.ly/2TS6HUR
Watch more:
Next '19 Application Development Sessions here → bit.ly/Next19AppDev
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions
Subscribe to the GCP Channel → bit.ly/GCloudPlatform
Speaker(s): Mete Atamel, James Ward
Session ID: DEV302
event: Google Cloud Next 2019; re_ty: Publish; product: Cloud - Compute - App Engine, Cloud - Containers - Google Kubernetes Engine (GKE), Cloud - Compute - Compute Engine; fullname: James Ward,Mete Atamel;
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