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AMD EPYC 7002 Series Processors and SQL Server

SQL Performance

On August 7, 2019, AMD finally unveiled their new 7nm EPYC 7002 Series of server processors, formerly code-named "Rome" at the AMD EPYC Horizon Event in San Francisco. This is the second generation EPYC server processor that uses the same Zen 2 architecture as the AMD Ryzen 3000 Series desktop processors.

Servers 52
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Virtual consensus in Delos

The Morning Paper

Back in 2017 the engineering team at Facebook had a problem. replacing Paxos with Raft), or they could be shims over external storage systems. A minimal Loglet needs to provide totally ordered, durable storage via the shared log API. In Facebook’s implementation of NativeLoglet, seal simply sets a bit on a quorum of servers.

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AMD EPYC Processors in Azure Virtual Machines

SQL Performance

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. These AMD EPYC processors have a number of advantages for SQL Server workloads, as I will explain in this article. Figure 1: CPU-Z Benchmark Results for LS16v2.

Azure 42
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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Recognized as the fastest growing database by popularity, PostgreSQL was named the DBMS of the year in both 2018 and 2017 by DB-Engines, and continues to grow in popularity in 2019. pg_repack – reorganizes tables online to reclaim storage. In fact, PostgreSQL is so popular, 11.5%

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The Performance Inequality Gap, 2021

Alex Russell

TL;DR: A lot has changed since 2017 when we last estimated a global baseline resource per-page resource budget of 130-170KiB. A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The Moto G4 , for example. Here begins our 2021 adventure. Hard Reset.

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The Ultimate Guide to MySQL Partitions

Percona

This blog was originally published in July 2017 and was updated in August 2023. Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. This method distributes data evenly across partitions to achieve balanced storage and optimal query performance.

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Can You Afford It?: Real-world Web Performance Budgets

Alex Russell

— Alex Russell (@slightlylate) October 4, 2017. Budgets are scaled to a benchmark network & device. Late-loading JavaScript can cause “server-side rendered” pages to fail in infuriating ways. Deciding what benchmark to use for a performance budget is crucial. Maybe "ambush by JS"?