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Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook

The Morning Paper

Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook , Cao et al., Or in the case of key-value stores, what you benchmark. So if you want to design a system that will offer good real-world performance, it’s really useful to have benchmarks that accurately represent real-world workloads.

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20X Faster Backup Preparation With Percona XtraBackup 8.0.33-28!

Percona

The data is internally inconsistent because the server concurrently modifies the data files while they are being copied. The changes done by an uncommitted transaction can be flushed or written to the redo log by the server. Initializing a DD engine and the cache adds complexity and other server dependencies.

Cache 89
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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

The resource loading waterfall is a cascade of files downloaded from the network server to the client to load your website from start to finish. On your first try, you can use it as a benchmark for optimizations later. Client Side Rendering, Server Side Rendering And Jamstack. On design systems, UX, web performance and CSS/JS.

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MySQL Key Performance Indicators (KPI) With PMM

Percona

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

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Percona Monitoring and Management 2 Scaling and Capacity Planning

Percona

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Planning for resources of a PMM Server host instance can be tricky because the numbers can change depending on the DB instances being monitored by PMM. VictoriaMetrics maintains an in-memory cache for mapping active time series into internal series IDs.

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How to Assess MySQL Performance

HammerDB

GHz 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) Up to 20% higher compute performance than z1d instances Up to 50 Gbps of networking speed Up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (EBS) We can also verify these capabilities by running some simple benchmarks on the different subsystems.

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A MyRocks Use Case

Percona

I wrote this post on MyRocks because I believe it is the most interesting new MySQL storage engine to have appeared over the last few years. I wanted most of the memory to be available for the file cache, where the compressed SST files will be cached. I hope this post has raised your interest in the MyRocks storage engine.

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