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Опубликовано 11 декабря 2020, 0:00
Running multiple versions of Python in Cloud Run blog post → goo.gle/374ci46
Still not running on serverless? Not using the same version of Python on all your microservices? In this episode of Serverless Expeditions, we’ll show you why Cloud Run is the best way to deploy your serverless application that’s running on different versions of Python. Plus, we’ll show you how to utilize the traffic splitting feature of Cloud Run in this feat.
Timestamps:
0:00 - Intro
1:16 - Updating Python versions and moving to serverless
1:48 - Deploying to Cloud Run
2:08 - Specifying base image in Docker file
2:36 - Utilizing the traffic splitting feature of Cloud Run
3:22 - Conclusion
Checkout more episodes of Serverless Expeditions → goo.gle/ServerlessExpeditions
Subscribe to get all the episodes as they come out → goo.gle/GCP
Product: Cloud Run; fullname: Martin Omander, Katie McLaughlin;
#ServerlessExpeditions #CloudRun
Still not running on serverless? Not using the same version of Python on all your microservices? In this episode of Serverless Expeditions, we’ll show you why Cloud Run is the best way to deploy your serverless application that’s running on different versions of Python. Plus, we’ll show you how to utilize the traffic splitting feature of Cloud Run in this feat.
Timestamps:
0:00 - Intro
1:16 - Updating Python versions and moving to serverless
1:48 - Deploying to Cloud Run
2:08 - Specifying base image in Docker file
2:36 - Utilizing the traffic splitting feature of Cloud Run
3:22 - Conclusion
Checkout more episodes of Serverless Expeditions → goo.gle/ServerlessExpeditions
Subscribe to get all the episodes as they come out → goo.gle/GCP
Product: Cloud Run; fullname: Martin Omander, Katie McLaughlin;
#ServerlessExpeditions #CloudRun
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