2016 Benchmarking Speed Storage 
SQL Server According to Bob
SEPTEMBER 26, 2016
When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). This chart shows our scaled results using a OLTP workload derived from TPC benchmarks.
Percona
JANUARY 24, 2023
Some of the built-in features ( wal_compression ) have been there since 2016, and almost all backup tools do the WAL compression before taking it to the backup repository. Attempts to compress PostgreSQL WAL at different levels have always been around since the beginning. But this comes with a considerable performance implication.
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SQL Performance
APRIL 8, 2019
Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. This processor has a base clock speed of 2.0GHz, with an all-core boost speed of 2.55GHz, and a max boost clock speed of 3.0GHz. Figure 1: CPU-Z Benchmark Results for LS16v2.
Alex Russell
MARCH 6, 2021
Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage.
Alex Russell
OCTOBER 22, 2017
Budgets are scaled to a benchmark network & device. JavaScript is the single most expensive part of any page in ways that are a function of both network capacity and device speed. Deciding what benchmark to use for a performance budget is crucial. The true median device from 2016 sold at about ~$200 unlocked.
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