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SCALING GOOGLE CLOUD FUNCTIONS
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this video gets under the covers of cloud functions on the serverless google cloud platform (GCP). we look underneath the hood at what operating system powers cloud functions. what environment variables and request headers are passed to our functions. we also look at how to access the IP address and crash the underlying container of the function.
we then look at how gcp manages the high availability and resilience of our functions by recovering our applications automatically when they crash. we also look at how google manages HA of our function even during deployment. finally we look at how google will automatically scale our functions under load. we look at how to performance load test our functions with apache bench, and control how our functions scale within the cloud platform as well as looking at recommended max instances.
we then look at how gcp manages the high availability and resilience of our functions by recovering our applications automatically when they crash. we also look at how google manages HA of our function even during deployment. finally we look at how google will automatically scale our functions under load. we look at how to performance load test our functions with apache bench, and control how our functions scale within the cloud platform as well as looking at recommended max instances.
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