Wake up! It's HighScalability time:

 

10 years of AWS architecture increasing simplicity or increasing complexity? (Michael Wittig)

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• 1.3 billion: npm package downloads per day; 20: honeybee communication signals used to coordinate thousands of workers; 71: average global life expectancy; 120K: max inflight SQS messages; 80%: shared code between iOS, Android, the web; 1 TB: microSD card; 20%: increase in value wind energy using ML; 64%: respondents cite optimizing cloud spend as the topvinitiative; 250: drones augmenting small military units; 35,880: record robots shipped to North American companies; 50K: aerial photos of the UK; 119%: increase in demand for AI talent; 18TB: MAMR hard drive; $20 million: Pinterest paid more than expected for AWS; 100,000: MySQL connections; 19%: all requests come from Bots, APIs, and search engine crawlers; 


• Quotable Quotes:
  • @evazhengll: A surgeon in #China performed world’s 1st remote operation using '#5G Surgery' on animal, removing its liver, through controlling robotic arms in a location 30 miles away. It was made possible by using a low latency of 0.1 seconds, the lower the latency, the more responsive the robot
  • @AWSonAir: .@McDonalds uses Amazon ECS to scale to support 20,000 orders per second. #AWSSummit
  • @antoniogm: Know why the European startup scene sucks? Because American startups have a huge, high-GDP, early-adopter market from day one, and they internationalize AFTER scaling. Euros have to internationalize IN ORDER TO scale, and most die in the process. GDPR makes this *worse*.
  • Ivan Ivanitskiy: Even though blockchain does not allow for modification of data, it cannot ensure such data is correct.
  • @kelseyhightower: Kubernetes is for people building platforms. If you are a developer building your own platform (AppEngine, Cloud Foundry, or Heroku clone), then Kubernetes is for you.
  • @adrianco: I think the main thing cloud native apps do that datacenter apps don’t do is scale elastically (even down to zero in some cases) and maintain high utilization, so you stop paying when you stop using the resource.
  • @kellabyte: Also almost every mention of SEDA  is incorrect IMO. If you read the paper the goal of the paper was to dynamically adjust CPU resources by *CHAINED* queues where thread pools can move threads between stages so that stages who needed more compute time got more threads.
  • So much more...