Remove 2016 Remove Availability Remove Design Remove Latency
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SQL Server 2016 – It Just Runs Faster: Always On Availability Groups Turbocharged

SQL Server According to Bob

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). Our design needed to scale and be adaptable to the modern hardware on the market.

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Cache-Control for Civilians

CSS Wizardry

If there is a newer file available on the server, we definitely want to download it. If, however, there wasn’t a new file on the server, we’ll bring back a 304 header, no new file, but an entire roundtrip of latency. We can completely cut out the overhead of a roundtrip of latency. What do we mean by a mutable or immutable file?

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The Performance Inequality Gap, 2023

Alex Russell

The talks are up on YouTube , including my own (behind a paywall, but the slides are freely available [1] ): The talk, like this post, is an update on network and CPU realities this series has documented since 2017. That is, what was the average device in 2016? 2023 Content Targets #. 2-4 CPU cores. 4GB RAM or less. Networks #.

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The Performance Inequality Gap, 2021

Alex Russell

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. Modern network performance and availability. The cheapest (high volume) Androids perform like 2012/2013 iPhones, respectively.

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WAL Compression in PostgreSQL and Recent Improvements in Version 15

Percona

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. Individual processes generate WAL records, and latency is very crucial for transactions. They do a much better job than what was available in PostgreSQL (pglz).

Database 117
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Software-defined far memory in warehouse scale computers

The Morning Paper

” This paper describes a “far memory” system that has been in production deployment at Google since 2016. This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions. Enter zswap! Evaluation.

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A Management Maturity Model for Performance

Alex Russell

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Consistent performance matters just as much as low average latency.