Document Latency Storage Virtualization 
Percona
MARCH 13, 2023
There is a section in our Documentation ( Introduction to Serverless PostgreSQL ) and a short overview of the primary components: Page Server The storage server with the primary goal of storing all data pages and WAL records Safe Keeper A component to store WAL records in memory (to reduce latency). 50051 2.
SQL Performance
FEBRUARY 26, 2020
The General Purpose tier is designed for applications with typical performance and I/O latency requirements and provides built-in HA. The Business Critical tier is designed for applications that require low I/O latency and higher HA requirements. Gen4 is still described in the documentation , but this option is mostly unavailable now.
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HammerDB
MAY 5, 2019
However in the Skylake microarchitecture (you can see a list of CPUs here ) the PAUSE instruction changed and in the documentation it says “the latency of the PAUSE instruction in prior generation microarchitectures is about 10 cycles, whereas in Skylake microarchitecture it has been extended to as many as 140 cycles.”
HammerDB
DECEMBER 5, 2020
First of all it has always been clear in the HammerDB documentation that the TPROC-C/TPC-C and TPROC-H/TPC-H workloads have not been ‘real’ audited and published TPC results instead providing a tool to run workloads based on these specifications. This was both expensive and time consuming to configure.
Adrian Cockcroft
APRIL 18, 2018
Juvenal Photo taken in Lisbon Portugal by Adrian Cockcroft The documentation for most monitoring tools describes how to use that tool in isolation, often as if no other tools exist, but sometimes with ways to import or export some of the data to other tools. “Quis custodiet ipsos custodes?”?—?Juvenal
O'Reilly
DECEMBER 2, 2019
For applications like communication between AVs, latency–how long it takes to get a response–is more likely to be a bigger limitation than raw bandwidth, and is subject to limits imposed by physics. There are impressive estimates for latency for 5G, but reality has a tendency to be harsh on such predictions.
Abhishek Tiwari
JULY 12, 2018
These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. Every time data spikes - a phenomenon which will be not predictable in most cases - overall latency to process the data using data pipeline will go up.
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