How to use Cloud Run 'always-on' CPU allocation for background work

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In this episode of Serverless Expeditions, Martin and Wesley optimize their weather alerting app by pulling the values from a cache instead of hitting an external API. Watch as they speed up their app by taking advantage of Cloud Run's "always-on" CPU allocation, allowing them to keep the cache updated and drop app latency by more than 80%!

Chapters:
0:00 - Intro
0:52 - Caching layer
2:04 - Enabling "always-on" CPU & code preview
2:38 - App deploy & demo
3:15 - Cost & autoscaling considerations
4:13 - Summary

#ServerlessExpeditions​ #ServerlessExpeditionsExtended #CloudRun

product: Cloud - Serverless Computing - Cloud Run; fullname: Wesley Chun, Martin Omander;
  1. Google Cloud Tech
  2. pr_pr: Google Cloud
  3. series: Serverless Expeditions
  4. type: DevByte (deck from scratch 10-20min)
  5. GDS: Yes
  6. Serverless Expeditions
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Комментарии
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Thank you for this video. I am using Google Cloud at my job and this is something that will be useful to test.

MrSebhtml
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Guys! Hello!

I need my cloud run container work always to permanently collect data of live events. But it seems my cloud run containers are just dying silently after some time. Is there a way to make my func work without timeouts and requests?

AarondovMALKIN
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Would executing background tasks that might take up to 20 - 30 minutes to complete with always allocated CPU keep the instance on until the background task is complete and shut it down once it's done?

zfsboro
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My batch processing runs for 2 hours..will cpu always allocation increase request timeout also

rajanjoshi
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Cronjob + curl on always free compute engine instance, or cloud scheduler...

kamarton