Earlier quoted context omitted.
Adding more context. Sorry for missing it out in first place. I mostly work in Big Data Space. Google Clouds Big Data stuff is built for Streaming / Storing / Processing / Querying / Machine Learning at Internet Scale data (PubSub / Bigtable / Dataflow / BigQuery / Cloud ML). AWS scales to terabyte level loads. But, beyond that, its hard and super costly. Google's services autoscale to Petabyte levels / millions of u…
You need petabyte scale for the NYT Crossword?
Talking about the use case from the article, they release the puzzle at 10 and need to have infra ready to serve up all the requests. On AWS, you need to pre warm load balancers, increase the quota of your Dynamo DB, scale up instances so that they can withstand the wall of traffic, ... and then scale down after the traffic. All this takes time, people and money. Adding few other things author mentioned: Monitoring/Alerting, Local Development, Combined Access and App Logging ... will take focus from developing great apps to building out the infrastructure for apps.