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— Ivo Mägi (@ivomagi) November 27, 2018. 2: Alphabet (Google); No.3: It's HighScalability time: This is your 1500ms latency in real life situations - pic.twitter.com/guot8khIPX. Do you like this sort of Stuff? Please support me on Patreon. I'd really appreciate it. Know anyone looking for a simple book explaining the cloud?
Unwelcome Gaze is a triptych visualizing the publicly reachable web server infrastructure of Google, Facebook, Amazon and the routing graph(s) leading to them. AWS Redshift FTW! yishengdd : However from my own experience, AWS Amplify is 10x better than Google Firebase. It's HighScalability time: Beautiful.
kellabyte : LOL at racking up an AWS bill of $140,000 in 4 hours of compute time. kellabyte : Recently I got to work on a project that really stressed Amazon AWS scalability. We spun up a cluster of 100,000 AWS instances multiple times. Google applies bulk discounts after the fact, AWS makes you ask for them ahead of time.
We built this hack using Java (Springboot framework), the Google OAuth and Calendar APIs (for finding rooms) and Twilio API (for calling into the meeting), and deployed it on AWS.
four petabytes : added to Internet Archive per year; 60,000 : patents donated by Microsoft to the Open Invention Network; 30 million : DuckDuckGo daily searches; 5 seconds : Google+ session length; 1 trillion : ARM device goal; $40B : Softbank investment in 5G; 30 : Happy Birthday IRC!; They'll love it and you'll be their hero forever.
2) Cloud will decentralise in terms of provision not power i.e. Amazon will "invade" more of those holdouts with AWS Outpost. And if you know someone with hearing problems they might find Live CC useful. 202,157 flights tracked! Me : Nothing special. 1) Enterprise data centres will continue to close. 3) Serverless will rocket.
Read about it and some of the consequences (search for “Misguided performers”) in the 2018 Accelerate State of DevOps Report. In other words, this new Snowball variant isn’t about processing data on-prem, it’s about making Snowball a better on-ramp to AWS. They'll love you even more.
tyingq : This is why AWS and Azure continue to gain market share in cloud, while Google remains relativity stagnant, despite (in many cases) superior technology. Source: 10+ meetings, with different clients, I attended where the Google sales pitch was basically "we are smarter than you, and you will succumb". The Borg approach.
BrentToderian : What city went from 14% of all trips by bike in 2001, to 22% by 2012, then leaped to 30% in 3 years by 2015, & 35% by 2018? They'll learn a lot and love you even more.5 5 billion : weekly visits to Apple App store; $500m : new US exascale computer; $1.7 It all looks good when capital is cheap I guess.
coryodaniel : Rewrote an #AWS APIGateway & #lambda service that was costing us about $16000 / month in #elixir. cablelounger : OH: To use AWS offerings, you really need in-house dev-ops expertise vs GCP, they make dev ops transparent to you I've a lot of experience with AWS and mostly agree with the first point.
. $150 billion : Bezos Prime; 49% : Amazon's share of US e-commerce; 1,000 terabytes : image size to represent one cubic millimeter of brain tissue; 7x : 4 year reduction in cost of computing power; 25x : faster code using SIMD; 4TB : RAM in GCE “ultramem” instance type; 4 months : half-life of an ICO; 80% : cost savings moving from AWS (..)
AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on.
Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. But sustained interest in cloud migrations—usage was up almost 10% in 2019, on top of 30% in 2018—gets at another important emerging trend. ML + AI are up, but passions have cooled. Security is surging.
Historically the focus of our tooling and platform has been on AWS EC2, but with more users making the migration, we need to provide better support for container use cases. Why the changes There are two main triggers for the refresh: Firstly, at Netflix we are seeing significant growth in the use of our container environment (Titus).
Eitally : there are a few critical differences between GCP and AWS or Azure. Setting aside the network quality & performance, which is objectively superior with Google, outside of GCE almost every other GCP product is offered as a managed service. Beyond that, there are several -- like Spanner -- that don't exist anywhere else.
AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. Amazon and AWS Ascendant. However, close to half (~48%) use Microsoft Azure, and close to one-third (~32%) use Google Cloud Platform (GCP).
Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. We’ve had nearly 4 million visits to the blog in 2018: thank you! As 2018 moves into 2019, let’s take a quick look back at some of the most popular posts on the blog this year. And making lists. Top 10 Most Read.
Google and Amazon’s latest AI chips have arrived," [link] Oct 2022 - [Intel 22] Intel, "Intel® Developer Cloud," [link] accessed Dec 2022 I've taken care to cite the author names along with the talk titles and dates, including for Internet sources, instead of the common practice of just listing URLs.
Serverless Applications Managing your own server is so 2018. Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. Google and Microsoft both plan to invest large sums in VR and AR in 2019. Web components are highly reusable, so they can come in handy for future projects.
You might also want to look at git-secrets which does this for AWS keys, and is extensible with additional patterns. Google OAuth IDs), when one part of the pair is leaked, there’s an 80% chance the other part is too. GitHub Search API collection ran from October 31st 2017 to April 20th 2018. Google BigQuery dataset.
We’ll get to all of those later on, but first I’m going to start the news this time with a roundup of an interesting day last week… News from the Serverless World Keynote Stage at Velocity 2018 Last week I was at O’Reilly’s Velocity conference in San Jose. Next up Lynn Langit gave a talk on Serverless SQL , updated for 2018.
While experienced AI developers are starting to leave powerhouses like Google, OpenAI, Meta, and Microsoft, not enough are leaving to meet demand—and most of them will probably gravitate to startups rather than adding to the AI talent within established companies. Microsoft, Google, IBM, and OpenAI have offered more general indemnification.
This post was originally published in July 2018 and was updated in July 2023. Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What are the differences between Aurora and RDS?
AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on.
2018: MongoDB announces that it is moving from GNU AGPLv3 licensing to the Service Side Public License (SSPL). MongoDB Enterprise editions and MongoDB Atlas — which integrates with Amazon Web Services (AWS), Microsoft Azure, and the Google Cloud Platform (GCP) — are not free. Is MongoDB free for commercial use?
Google and Amazon’s latest AI chips have arrived," [link] , Oct 2022 [Intel 22] Intel, "Intel® Developer Cloud," [link] , accessed Dec 2022 I've taken care to cite the author names along with the talk titles and dates, including for Internet sources, instead of the common practice of just listing URLs.
Google recommends that TTFB be 800ms at the 75th percentile. Charlie Vazac introduced server timing in a Performance Calendar post circa 2018. Amazon Cloudfront You can add server-timing headers via opt-in via the AWS Console as mentioned in this post. desc="Time to process request at origin" NOTE: This is not a new API.
Paco Nathan : Frankly, I’d feel a lot more comfortable sending my kids off to school in a self-driving bus if the machine learning models hadn’t been trained solely by Google’s proprietary data. margin over the same period. So you don’t worry so much about failure.
Assets Optimizations Brotli, AVIF, WebP, responsive images, AV1, adaptive media loding, video compression, web fonts, Google fonts. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). For each of them, Google recommends a range of acceptable speed goals.
Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Globally in 2018–2019, according to the IDC, 87% of all shipped mobile phones are Android devices. Adjust the argument depending on the group of stakeholders you are speaking to. Assets Optimizations.
In 2015, Google introduced Brotli , a new open-source lossless data format, which is now supported in all modern browsers. Brotli is widely supported, and many CDNs support it ( Akamai , AWS , KeyCDN , Fastly , Cloudlare , CDN77 ) and you can enable Brotli even on CDNs that don’t support it yet (with a service worker).
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