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
Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. Recognized as the fastest growing database by popularity, PostgreSQL was named the DBMS of the year in both 2018 and 2017 by DB-Engines, and continues to grow in popularity in 2019.
since 2017, and many customers have used it with great success while we collected requirements for the next iteration of our Lambda extension. When we set out to create the new Lambda extension, we benchmarked other dedicated Lambda monitoring solutions that were already on the market. Stay tuned?for functionality?in
By 2017, open source projects like Open-Tracing and Open-Zipkin were mature enough for use in polyglot runtime environments at Netflix. Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing.
I love short benchmarks like this as I can disassemble the resulting binary and ensure that the compiled instructions match my expectations, and the compiler hasen't messed with it. ## 6. #include <sys/time.h> > int main(int argc, char *argv[]) { int i, ret; struct timeval tv; struct timezone tz; for (i = 0; i.
2017: MongoDB goes public, trading as MDB. Though still not “profitable” by many benchmarks, it’s a lot closer to being so, perhaps in a big way.) (Some might say this marked the beginning of MongoDB’s “cloud push” escalation.) Since then, the stock price has increased more than 600%.
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. Right now, widely-used benchmarks for AI code generation (e.g.,
I love short benchmarks like this as I can disassemble the resulting binary and ensure that the compiled instructions match my expectations, and the compiler hasen't messed with it. ## 7. I also rewrote this in C and called gettimeofday(2) directly: $ cat gettimeofdaybench.c include <sys/time.h>
When you own all of the code then this may involve some back of the envelope estimates, competitive benchmarking, or intuition tuned by experience. Another instance of this problem was hit in November 2017 and is described here. The JetBrains/intellij developers also encountered this problem and worked around it in the same way.
This blog was originally published in July 2017 and was updated in August 2023. This helps identify potential issues and fine-tune the partitioning strategy. Any partitioning strategy should improve query performance , not lead to suboptimal queries — test and benchmark strategies before implementation.
A peculiar throughput limitation on Intel’s Xeon Phi x200 (Knights Landing) Introduction: In December 2017, my colleague Damon McDougall (now at AMD) asked for help in porting the fused multiply-add example code from a Colfax report ( [link] ) to the Xeon Phi x200 (Knights Landing) processors here at TACC.
Introduction: In December 2017, my colleague Damon McDougall (now at AMD) asked for help in porting the fused multiply-add example code from a Colfax report ( [link] ) to the Xeon Phi x200 (Knights Landing) processors here at TACC. of the “adjusted peak performance”, there is no longer a significant upside to performance tuning.
His keynote address from O’Reilly Fluent 2017, Reflecting on 20 years on the web , is a must-see. He served as the Editor-in-Chief of Smashing Magazine until October 2017 when he passed the baton to the remarkable Rachel Andrew. Most recently, he launched a fantastic new HTML5 Mastery… course. Vitaly Friedman. Doug Sillars.
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