This story doesn&#x27;t get told enough.<p>Most of Google Cloud is built to operate the same way with 1 user or 1m users. And in many cases, Google doesn&#x27;t charge you for the &quot;scaling vector&quot;, whereas AWS will, and will sometimes even require a separate product (see Firehose).<p>Things like Load Balancer not requiring pre-warming, PubSub seamlessly scaling, Datastore and AppEngine seamlessly scaling.<p>This is especially obvious on the product I work on, BigQuery:<p>- We had a customer who did not do anything special, did not configure anything, didn&#x27;t tell us, and ingested 4.5 million rows per second using our Streaming API for a few hours.<p>- We frequently find customers who scale up to 1PB-size without ever talking to us. I can be their first point of contact at Google.. after they&#x27;re at that scale.<p>- Unlike traditional Databases, BigQuery lets you use thousands of cores for the few seconds your query needs them, and you only pay for the job. If I were to translate this to VM pricing, BigQuery gives you ability to near-instantly fire up  thousands VMs, shut them down in 10 seconds, and only pay per-second. Customers like that kind of thing :)<p>Disclosure: Shamelessly biased