Smashing Magazine

OCTOBER 31, 2023

Type 2: Full Real-User Monitoring (RUM) If CrUX offers one flavor of real-user data, then we can consider “full real-user data” to be another flavor that provides even more in the way individual experiences, such as specific network requests made by the page. The accuracy of observed data depends on how the test environment is set up.

Speed 97

Speed Google Website Metrics 97

The Morning Paper

MAY 12, 2019

The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency. Smaller microservices demonstrated much better instruction-cache locality than their monolithic counterparts. Hardware implications.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100.

Best Practices 52

Best Practices Design Tuning Database 52

The Morning Paper

APRIL 14, 2019

Microarchitectural state of interest includes data and instruction caches, TLBs, branch predictors, instruction- and data-prefetcher state machines, and DRAM row buffers. There are also stateless interconnects including buses and on-chip networks. So these on-core caches must be flushed on a domain switch.

Hardware 44

Hardware Cache Latency Speed 44

Smashing Magazine

JANUARY 7, 2019

If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled network (e.g. To make the performance impact more visible, you could even introduce 2G Tuesdays or set up a throttled 3G network in your office for faster testing. 150ms RTT, 1.5 Mbps down, 0.7 Mbps up) with a throttled CPU (5× slowdown).

Performance 103

Performance Cache Metrics Network 103

The Morning Paper

DECEMBER 8, 2019

Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. This means that the overheads of system calls become much more noticeable. in front of that memory , as we saw last week).

Hardware 56

Hardware Programming Media Storage 56

SQL Server According to Bob

JANUARY 11, 2020

Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 40

SQL Server According to Bob

JANUARY 11, 2020

Time of Last Access The time of last access is a caching ​​ algorithm ​​ that enables ​​ cache ​​ entries to be ordered by their ​​ access times. aspx ) and ​​ Sparse Files ​​ ( [link] f ault.asp?url=/library/en-us/fileio/fs/sparse_files.asp

Servers 40

Servers Cache Database Media 40

The Netflix TechBlog

SEPTEMBER 24, 2021

Uploading and downloading data always come with a penalty, namely latency. The following table breaks down the various processing (including download) and uploading phases within an assembler and packager instance operating on large media files. For write operations, those challenges do not apply.

Cloud 237

Cloud Media Storage Cache 237

All Things Distributed

OCTOBER 2, 2017

The success of our early results with the Dynamo database encouraged us to write Amazon's Dynamo whitepaper and share it at the 2007 ACM Symposium on Operating Systems Principles (SOSP conference), so that others in the industry could benefit. This was the genesis of the Amazon Dynamo database.

Internet 128

Internet Internet AWS Performance 128