HTTP over QUIC will be called HTTP/3, following a suggestion by Mark Nottingham.
Source: HTTP/3 | daniel.haxx.se
HTTP over QUIC will be called HTTP/3, following a suggestion by Mark Nottingham.
Source: HTTP/3 | daniel.haxx.se
It’s a huge effort considering the scale of the project and the relevance of customer data for Amazon. Given their cloud business and it’s maturity – AWS is more than 10 years old by now and leading the pack – this move seems overdue.
Amazon.com Inc. has taken another step toward eliminating software from Oracle Corp. that has long helped the e-commerce giant run its retail business.
Source: `Keep Talkin’ Larry’: Amazon Is Close to Tossing Oracle Software – Bloomberg
CORS, CSP, HSTS, and all the web security acronyms!link.medium.com/jMrLJYrzBR
That’s a lot of WordPress…
Around 62% of all Internet sites will run an unsupported PHP version in 10 weeks
— Weiterlesen www.zdnet.com/google-amp/article/around-62-of-all-internet-sites-will-run-an-unsupported-php-version-in-10-weeks/
Illustrated TLS Handshake to click through. Awesome effort. Code is here. For bonuspoints, it’s using curve25519.
Cops Told ‘Don’t Look’ at New iPhones to Avoid Face ID Lock-Out – Motherboard
— Weiterlesen motherboard.vice.com/amp/en_us/article/5984jq/cops-dont-look-iphonex-face-id-unlock-elcomsoft
Kubelet TLS Bootstrap and Azure Virtual Machine Scale Sets (VMSS) Move to General Availability – Kubernetes Blog
Author: The 1.12 Release TeamWe’re pleased to announce the delivery of Kubernetes 1.12, our third release of 2018!Today’s release continues to focus on internal improvements and graduating features to stable in Kubernetes. This newest version graduates key features such as security and Azure. Notable additions in this release include two highly-anticipated features graduating to general availability: Kubelet TLS Bootstrap and Support for Azure Virtual Machine Scale Sets (VMSS).
Machine Learning helps identifying the elephant in the room. Literally.
A visual prank exposes an Achilles’ heel of computer vision systems: Unlike humans, they can’t do a double take.
Source: Machine Learning Confronts the Elephant in the Room | Quanta Magazine