Schif.happens

Wonderful diagram of @adrianco Microservices talk at #OOP2016 by @remarker_eu  

• 350,000: new Telegram users per day; 15 billion: messages delivered by Telegram per day; 50 billion suns: max size of a black hole; 10,000x: lower power for Wi-Fi; 400 hours: video uploaded to YouTube every minute;


• Quotable Quotes:
  • sharemywin: I don't think consensus scales. So, I think they'll be an ecosystem of block chains.
  • @aneel: "There is no failover process other than the continuous dynamic load balancing." 
  • Jono MacDougall: If you are happy hosting your own solution, use Cassandra. If you want the ease of scaling and operations, Use DynamoDB.
  • @plamere: Google’s BigQuery is *da bomb* - I can start with 2.2Billion ‘things’ and compute/summarize down to 20K in < 1 min.
  • Haifa Moses: We’re evaluating a totally new software model that allows us to automatically diagnose if a failure occurs during a mission and for messages to be displayed for flight controllers on the ground
  • @fmbutt: IBM abstracted analog calculation. MS abstracted HW. Goog abstracted SW. Powerful Mobile AI could abstract clouds. 
  • Jon Grall: Essentially, there’s a massive oversupply of apps, and the app markets are now saturated and suffering from neglect and short-term thinking by the companies who operate them. 
  • jhgg: At work we moved to GCE at the beginning of this year, from Linode after they were having stability issues over the christmas break. No complaints from us. So far have been very happy with it. We were considering moving to AWS, but to realize the same pricing as GCE we'd have to purchase reserved instances - the sustained usage discounts have been huge for us.
  • Brave New Geek: Python and App Engine were fast. Not like “this code is f*cking fast” fast—what we call performance—more like “we need to get this sh*t working so we have jobs tomorrow” fast—what we call delivery. 
  • There are more Quotable Quotes in the full article.


• You have to love the datacenter of the future. Data is stored in the DNA of seeds. Compute inhabits electronic plants using xylem, leaf, and vein in the creation of digital organic electronic circuits. Instead of walking into a cold dead datacenter we'll frolic in an uplifted Garden of Eden.


• Relying APIs is like building bridges and skyscrapers out of materials that constantly change their properties. Just Landed is Shutting Down: Since Just Landed launched in 2012, the cost of running the service has steadily increased over time. While flight data remains expensive, the real source of the cost increases has been adapting to the demise or restructuring of supporting services such as StackMob, UrbanAirship, and Bing Maps that Just Landed previously relied on. Traffic and mapping data in particular, much of which used to be free, has become quite expensive, and is now tightly controlled by big companies under oppressive Terms of Service.


• With Spotify moving to the Google Cloud Platform it looks like Google may have found a friendly marketing face to play the same role Netflix plays for AWS. Why make the move? nrh: Spotifier here. Frankly, price is not the biggest factor in a decision like this. If we were going for the lowest cost cloud option, it probably wouldn't be either AWS or Google - there are other providers who are hungrier for business that would be willing to do deep cuts at our scale. The way we think about this is that there are basically two classes of cloud services: commodities and differentiated services. Commodities are storage/network/compute, and the big players are going to compete on price and quality on these for the foreseeable future (as with most commodities). The differentiated services stuff is a bit more interesting. Different players have different strengths and weaknesses here - AWS has way, way better capabilities when it comes to administration and access control and identity management, for example (which is actually pretty important when trying to do this in a large org). The places were Google is strong (data platform) are the places that are most important for us as a business. Compelling: dataproc+gcs, bigquery, pubsub, dataflow Made it safe: high-enough quality, cheap enough.

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