All Things Distributed
MAY 19, 2017
That database engine is now known as Amazon Aurora and launched in 2014 for MySQL and in 2016 for PostgreSQL. We believe the central constraint in high throughput data processing has moved from compute and storage to the network.
High Scalability
JUNE 22, 2018
. $40 million : Netflix monthly spend on cloud services; 5% : retention increase can increase profits 25%; 50+% : Facebook's IPv6 traffic from the U.S, using them to respond to storage events on s3 or database events or auth events is super easy and powerful. they can can be two orders of magnitude faster than FastBitSet.js.
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Brendan Gregg
DECEMBER 31, 2017
My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Storage I/O. Not a lot has changed with these tunables since my [2014] talk. Casey Rosenthal (traffic and chaos) Models of Availability. File System. Networking. Networking.
Brendan Gregg
DECEMBER 30, 2017
My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Storage I/O. Not a lot has changed with these tunables since my [2014] talk. Casey Rosenthal (traffic and chaos) Models of Availability. File System. Networking. Networking.
All Things Distributed
DECEMBER 12, 2018
Vivino also uses Auto Scaling to deal with the large seasonal fluctuations in traffic. During the winter holiday season, the use of the app increases by up to 300% and AWS allows them to seamlessly scale up to cope with the increase in traffic. Telenor Connexion. Telenor Connexion is all-in on AWS.
Abhishek Tiwari
NOVEMBER 3, 2018
You should expect one-time implementation cost (depending CMS and business requirements it can cost 200,000 USD to 3M USD) and yearly hosting infrastructure cost (proportional to load and traffic but typically 30,000 USD - 300,000 USD per year). Most of cloud object/blob storage services have native support for static site hosting.
Alex Russell
MARCH 6, 2021
A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. mid-priced Androids were slightly faster than 2014's iPhone 6. The Moto G4 , for example. The cheapest (high volume) Androids perform like 2012/2013 iPhones, respectively.
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