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Can you comment on their serverless architecture, which was the point of this post?

• jacquesm 8y ago
  Well, given that it is serverless the infrastructure is operated by the provider, in this case Google. That leaves the company to use the various APIs. So you use Google Cloud Functions to ingest data and do all preliminary processing, store the data in one of the various persistent storage options (Spanner, Bigtable, whatever is best suitable for the job) processing optionally using background functions or containers for further processing or presentation. Given that a reasonably short while ago I did not yet see Google as a serious contender in this space I'm actually surprised how far they have come. You can basically create an enterprise class application dealing with vast amounts of data and never even know on what silicon (or where...) your processes are running. Of course you still have to give some parameters, such as in which DC you want to run your stuff but on the whole it is about as painless as it can be. For more info this would be a good starting point: https://cloud.google.com/functions/ https://cloud.google.com/functions/ Important notes about the execution environment limits: https://cloud.google.com/functions/quotas https://cloud.google.com/functions/quotas