This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Annie leads the Chrome Speed Metrics team at Google, which has arguably had the most significant impact on web performance of the past decade. It's really important to acknowledge that none of this would have been possible without the great work from Annie and her small-but-mighty Speed Metrics team at Google. Nice job, everyone!
September 2008 [I found this in an archive and thought it was worth sharing 10 years on. link] Google App Engine?—? 30 mins) Closing Remarks: 9:40 pm (10 mins) Let’s Party 9:50 pm (40 mins) Date : Tuesday, September 30, 2008 from 06:00 PM?—?10:00 Historical Archive?—?Cloud Cloud Camp?—?September Sponsors : Sun?—? link] GoGrid?—?
September 2008 [I found this in an archive and thought it was worth sharing 10 years on. link] Google App Engine?—? 30 mins) Closing Remarks: 9:40 pm (10 mins) Let’s Party 9:50 pm (40 mins) Date : Tuesday, September 30, 2008 from 06:00 PM?—?10:00 Historical Archive?—?Cloud Cloud Camp?—?September Sponsors : Sun?—? link] GoGrid?—?
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. Note that my predictions in this talk may be wrong, but they should be thought provoking.
be it SQL, Jupyter Notebooks, Tableau, or Google Sheets. This turned out to be a wise choice as I avoided entering the workforce right before the 2008 recession. Through a combination of my existing network, the interview process, and other online resources about the company, I found that folks are actually very friendly and helpful!
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.
” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” Not that you’ll even need GPU access all that often.
was defined in RFC 5246 10 years ago, back in August 2008. TLS stands for Transport Layer Security which is a cryptographic protocol used to increase security over computer networks. It has been quite some time since TLS underwent a major update. Today we’re very excited to announce that KeyCDN has officially launched TLS 1.3
And if I switch tabs to view a paper from 2008, then a song from 2008 could start up. To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022.
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. Note that my predictions in this talk may be wrong, but they should be thought-provoking.
Each HTTP request that is required for the page needs to travel over the network and in turn this consumes energy on both the server and client. CPU Utilization and Power Consumption (Source: Blackburn 2008). Server Power Consumption (Source: Intel Labs 2008). Unfortunately, that’s not where it ends. It’s a win-win all round!
Each HTTP request that is required for the page needs to travel over the network and in turn this consumes energy on both the server and client. CPU Utilization and Power Consumption (Source: Blackburn 2008). Server Power Consumption (Source: Intel Labs 2008). Unfortunately, that’s not where it ends. It’s a win-win all round!
Each HTTP request that is required for the page needs to travel over the network and in turn this consumes energy on both the server and client. CPU Utilization and Power Consumption (Source: Blackburn 2008). Server Power Consumption (Source: Intel Labs 2008). Unfortunately, that’s not where it ends. It’s a win-win all round!
References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?
When he first gave the presentation in 2008, he was working at this massive company called Yahoo! That was 2008. In a comment on my last post I referenced the Boston Globe and how it appears on Google Glass. The point is not that we all need to be testing on Google Glass—time will tell how well that device does.
Public API as -a-service has become a good business model: examples include social networks like Facebook/Twitter, messaging as a service like Twilio, and even credit card authorization platforms like Marqeta. So can we use it as our main datastore? Let’s imagine we are running a webservice and provide a public API.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content