Speed Curve

MAY 31, 2014

As of the 1st of June SpeedCurve has switched to using faster testing agents at Amazon EC2 data centers. As web pages become more Javascript and resource heavy I've noticed more and more pages max out the CPU while performance testing. medium instances which have 3.75GB of RAM with faster CPU and network performance.

Testing 40

Testing Benchmarking Speed Website 40

Apica

MAY 10, 2019

The spread of where consumers want to consume content, at home, at the office, at the gym, on a plane, at any time where there is connectivity, puts significant pressure on the network and performance monitoring teams for streaming brands. Load and stress-testing benchmark goals for the backend technological components.

Testing 40

Testing Performance Social Media Wireless 40

Percona

DECEMBER 20, 2018

Not being entirely sure of what I was seeing during a customer visit, I set out to create some simple tests to measure the impact of triggers on database performance. AMD EPYC Performance Testing… or Don’t get on the wrong side of SystemD. Tuning PostgreSQL Database Parameters to Optimize Performance.

Database 40

Database Tuning Performance AWS 40

Speed Curve

MARCH 7, 2022

These numbers should not be taken as a benchmark for your own site. You can see this by looking at the synthetic test result for Sears.com (again, available via our Industry Benchmarks ). All the fancy performance monitoring tools in the world can't help you if you don't have a strong performance culture at your organization.

Mobile 145

Mobile Benchmarking Google Metrics 145

Brendan Gregg

FEBRUARY 9, 2018

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Plotting the percent performance loss vs syscall rate per CPU, for my microbenchmark: Applications that have high syscall rates include proxies, databases, and others that do lots of tiny I/O.

Performance 75

Performance Benchmarking Cache Tuning 75

Speed Curve

JULY 3, 2023

This is to try to understand how a "typical" page might perform, as well as pages in the "longtail". It's super important to understand longtail performance. These numbers should not be taken as a benchmark for your own site. Use performance budgets to fight regression Page bloat happens when people stop paying attention.

Mobile 52

Mobile Google Metrics Retail 52

Brendan Gregg

FEBRUARY 8, 2018

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Plotting the percent performance loss vs syscall rate per CPU, for my microbenchmark: Applications that have high syscall rates include proxies, databases, and others that do lots of tiny I/O.

Performance 40

Performance Benchmarking Cache Tuning 40

Rigor

OCTOBER 30, 2019

One free tool has become prominent in the space – Google Lighthouse – and one question often bubbles up: “I use Google Lighthouse for one-off snapshots of my site’s performance, so why do I need a performance monitoring solution?” Google Lighthouse is a great place to start for performance analysis.

Google 51

Google Best Practices Energy Website 51

HammerDB

OCTOBER 12, 2018

InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . 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.

Best Practices 40

Best Practices Scalability Performance C++ 40

Smashing Magazine

JANUARY 6, 2020

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Testing And Monitoring. Getting Ready: Planning And Metrics. Assets Optimizations.

Performance 145

Performance Cache Network Metrics 145

High Scalability

NOVEMBER 25, 2019

If you develop something then you own the lifecycle of that product, which means you would work with QA, DevOps to ensure it’s tested/deployed. When it goes to production you would monitor it using the various internal tools like New Relic/Grafana, Kibana and if there is a regression you would fix it. How you analyze performance?

Architecture 52

Architecture Cache Azure Storage 52