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
When I founded Dynatrace, I aimed to bridge the gap between IT performance and user experience. My goal was to provide IT teams with insights to optimize customer experience by collaborating with business teams, using both business KPIs and IT metrics. To accomplish this, we traced all digital interactions from device to backend for detailed insights into personalization impacts.
In early September I had a very enjoyable technical chat with Steve Klabnik of Rust fame and interviewer Kevin Ball of Software Engineering Daily, and the podcast is now available. Disclaimer: Please just ignore the “vs” part of the “Rust vs C++” title. The rest of the page is a much more accurate description of a really fun discussion I’d be happy to do again anytime!
We’re excited to announce the first version of our new Distributed Tracing app, a part of the new Dynatrace user experience that leverages the full power of the Dynatrace platform. With the Distributed Tracing app, you can flexibly slice and dice raw trace data to understand what went wrong and why. Find what you’re looking for faster with: Enhanced charting and data visualization: Easily filter, group, search, and visualize trace data to gain deeper insights into your system’s behavior.
We explain the key things to look for in a dependable and high-performing WordPress host. Overview GTmetrix primarily focuses on front-end performance (i.e., how well your page performs on the client-side browser), but a strong backend setup is equally essential for a high-performing website.
I have always been a big advocate of “Foundation”-run open source projects as being better compared to single-vendor projects, where there is a risk of a vendor unilaterally changing licenses or taking other “hostile” steps towards project users and the community and their reliance on the project’s open source nature.
RISC-Vthe CPU you didnt know you alreadyhave Photo taken by Adrian at the RISC-V SummitKeynote I just attended the RISC-V Summit (Oct 22nd, 2024 at the Santa Clara Convention Center) to get up to date on the latest developments. Ive been following processor architectures for most of my career, from when I was writing embedded code in the 1980s, through my time as a SPARC specialist at Sun Microsystems, and I gave a keynote at Usenix in 2008 where I talked about how ARM architecture (at that time
Secure multi-party computation (SMPC) enables organisations to collaborate on sensitive data analysis without directly sharing raw information. However, seemingly harmless aggregate outputs, particularly private set intersection (PSI), can leak individual-level information when analysed strategically over time.
Secure multi-party computation (SMPC) enables organisations to collaborate on sensitive data analysis without directly sharing raw information. However, seemingly harmless aggregate outputs, particularly private set intersection (PSI), can leak individual-level information when analysed strategically over time.
Secure multi-party computation (SMPC) enables organisations to collaborate on sensitive data analysis without directly sharing raw information. However, seemingly harmless aggregate outputs, particularly private set intersection (PSI), can leak individual-level information when analysed strategically over time.
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.
286 
Let's personalize your content