Rigor

JUNE 14, 2019

You can, if you like, dig a little deeper into the size of first-party content vs. third-party when monitoring this metric.). For example, you can benchmark your site against your competitors, then share this competitive information with stakeholders to gain their buy-in on the importance of web performance. Why track it? Conclusion.

Metrics 101

Metrics Performance Speed Ecommerce 101

Speed Curve

DECEMBER 21, 2022

Your current competitive benchmarks status. Hint: If you're considering installing a big-screen performance monitor at your organization, this dashboard is a good candidate for that.). With your RUM Compare dashboard , you can easily generate side-by-side comparisons for any two cohorts of real user data. Synthetic Site.

Benchmarking 52

Benchmarking Retail Traffic Metrics 52

HammerDB

JULY 6, 2024

This is a brief post to highlight the metrics to use to do the comparison using a separate hardware platform for illustration purposes. scripts/tcl/maria/tprocc/maria_tprocc_run.tcl Comparing the results When running the 80 thread sysbench-tpcc workload, monitoring with HammerDB we can see the following output. idle%-99.97

C++ 52

C++ Hardware Benchmarking Virtualization 52

Speed Curve

JULY 2, 2013

Over the last few years the web performance monitoring toolset has expanded dramatically with the introduction of many new services and products. There are two main types of web performance monitoring, uptime monitoring and real user monitoring. Uptime Monitoring. Real User Monitoring.

Benchmarking 40

Benchmarking Performance Website Analytics 40

Percona

JANUARY 19, 2023

sec) Records: 0 Duplicates: 0 Warnings: 0 mysql> INSERT INTO employees_compressed SELECT * FROM employees; Size comparison: [user1] percona@db1: ~ $ sudo ls -lh /var/lib/mysql/employees/|grep employees -rw-r --. sec) mysql> ALTER TABLE employees_compressed ROW_FORMAT=COMPRESSED; Query OK, 0 rows affected (0.14

Open Source 111

Open Source Storage Database Big Data 111

HammerDB

DECEMBER 9, 2020

NOPM should be considered the primary metric and is the only one that should be used for a cross database comparison. <benchmark> <first_result>TPM</first_result> </benchmark> So why not just print NOPM and report a single metric for TPROC-C as per the official TPC-C workloads? . <benchmark>

C++ 52

C++ Benchmarking Metrics Database 52

Speed Curve

DECEMBER 25, 2013

Comparison of page size and assets types across different responsive widths. Comparison of full loaded time for new Guardian responsive site (Guardian NGW) vs current Guardian site and the New York Times. There are great tools available to monitor the actual in browser speed and benchmark your site against others.

Performance 60

Performance Mobile Website Benchmarking 60

Percona

DECEMBER 20, 2018

I found the comparison of InnoDB vs. MyISAM quite interesting, and I’ll use it in this post. In this benchmark, I discovered some interesting discrepancies in performance between AMD and Intel CPUs when running under systemd. Percona Monitoring and Management: Look After Your pmm-data Container.

Database 51

Database Tuning Performance AWS 51

Alex Russell

MAY 9, 2022

Teams looking to grow past Level 1 develop (or uncover they already had) Real User Monitoring (" RUM data") infrastructure in previous cycles. Treating data as a distribution fundamentally enables comparison and experimentation because it creates a language for describing non-binary shifts. Management Attributes #.

Performance 99

Performance Latency Metrics Engineering 99

Speed Curve

JANUARY 31, 2018

It goes without saying that you'll want to make sure you're using the right tools to monitor, measure, and optimize your site. One of the great things about synthetic monitoring via tools like WebPageTest (which SpeedCurve synthetic is built on top of) is that you can test any page on the web, not just your own.

Performance 40

Performance Metrics Traffic Monitoring 40

John McCalpin

JANUARY 22, 2018

Pointer arithmetic, loop index increments, loop trip count comparisons, and conditional branches are all essentially “free” on mainstream Xeon processors, but have to be considered very carefully on the Xeon Phi x200. 8.056 0.056 75.0% 74.48% 0.70% 2 24 3 27 13.5 7.086 0.086 85.71% 84.67% 1.22% 4 48 3 51 12.75 FMAs/cycle.

Latency 40

Latency Hardware Code Testing 40

John McCalpin

JANUARY 22, 2018

Pointer arithmetic, loop index increments, loop trip count comparisons, and conditional branches are all essentially “free” on mainstream Xeon processors, but have to be considered very carefully on the Xeon Phi x200. A “best case” scenario: DGEMM. 1 12 3 15 15 15.0156 8.0 8.056 0.056 75.0% 74.48% 0.70%. 2 24 3 27 13.5

Latency 40

Latency Hardware Code Testing 40

HammerDB

OCTOBER 12, 2018

For anyone benchmarking MySQL with HammerDB it is important to understand the differences from sysbench workloads as HammerDB is targeted at a testing a different usage model from sysbench. monitoring. As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level.

Best Practices 40

Best Practices Scalability Performance C++ 40

SQL Server According to Bob

JANUARY 11, 2020

SQL Server 2005 ​​ contains ​​ the stalled I/O ​​ monitoring and ​​ detection. SQL Server uses read-ahead logic to avoid query stalls caused by I/O waits.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Good for raising alarms and monitoring changes over time, not so good for understanding user experience. Vitaly Friedman.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Testing And Monitoring. To get a good first impression of how your competitors perform, you can use Chrome UX Report ( CrUX , a ready-made RUM data set, video introduction by Ilya Grigorik and detailed guide by Rick Viscomi) or Treo Sites , a RUM monitoring tool that is powered by Chrome UX Report. Getting Ready: Planning And Metrics.

Performance 112

Performance Cache Servers Network 112

The Netflix TechBlog

OCTOBER 14, 2024

In comparison, the terminal handler used only 0.47% CPU time. Overall, we hope you enjoyed the irony of: The extension used to monitor CPU usage causing CPU contention. Note that we profiled the parent jupyter-lab process, not the ipykernel child process that runs the reproduction code.

Latency 214

Latency Virtualization Traffic Processing 214