The Morning Paper

SEPTEMBER 24, 2020

Static analysis of Java enterprise applications: frameworks and caches, the elephants in the room , Antoniadis et al., However, collecting a set of sizable, realistic benchmarks, showing that their analysis is feasible, and making progress in its precision are good ways to ensure further research in this high-value area.

Java 80

Java Cache Benchmarking Programming 80

Brendan Gregg

JUNE 30, 2018

These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Accurate benchmarking rewards engineering investment that actually improves performance, but, unfortunately, inaccurate benchmarking is more common. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?

Benchmarking 47

Benchmarking Latency Cache Network 47

Percona

JULY 25, 2023

After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Initializing a DD engine and the cache adds complexity and other server dependencies. Essentially LRU cache is disabled by loading the tables as non-evictable.

Cache 98

Cache Servers Benchmarking Design 98

Alex Russell

APRIL 29, 2021

Apple forces developers of competing browsers to use their engine for all browsers on iOS , restricting their ability to deliver a better version of the web platform. They are, pound for pound, some of the best engine developers globally and genuinely want good things for the web. With each team, benchmarks lost are understood as bugs.

Media 145

Media Games Education Engineering 145

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 136

Performance Monitoring Traffic Database 136

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Please note that the focus of these tests was around standard metrics gathering and display, we’ll use a future blog post to benchmark some of the more intensive query analytics (QAN) performance numbers. Virtual Memory utilization was averaging 48 GB of RAM.

Monitoring 117

Monitoring Scalability Database Cache 117

Brendan Gregg

MARCH 16, 2024

Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway. It shouldn't be 10%, unless it's cache effects. And for leaf routines (which never establish a frame), this is a non-issue.

Java 137

Java Cache Google Hardware 137

Percona

JANUARY 9, 2023

Also, we find a difference in execution on InnoDB and MyISAM engines. NOTE : All tests were applied for MySQL version 8.0.30, and in the background, I ran every query three to five times to make sure that all of them were fully cached in the buffer pool (for InnoDB) or by the filesystem (for MyISAM).

Cache 107

Cache Engineering Storage Speed 107

Brendan Gregg

JUNE 29, 2018

These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Accurate benchmarking rewards engineering investment that actually improves performance, but, unfortunately, inaccurate benchmarking is more common. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?

Benchmarking 40

Benchmarking Latency Cache Network 40

Percona

MARCH 23, 2023

By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. Benchmark before you decide. As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. Transparent huge pages (THP) disabled.

Performance 144

Performance Hardware Tuning Storage 144

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

Brendan Gregg

FEBRUARY 9, 2018

Many thanks to the engineers working hard to develop workarounds to these processor bugs. This overhead can be reduced by A) pcid, fully available in Linux 4.14, and B) Huge pages. - **Cache access pattern**: the overheads are exacerbated by certain access patterns that switch from caching well to caching a little less well.

Performance 72

Performance Benchmarking Cache Tuning 72

HammerDB

APRIL 19, 2023

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.

Performance 55

Performance Benchmarking Cache Storage 55

The Morning Paper

JUNE 16, 2019

The amount of computation required on a base update can be reduced by sharing computation and cached data between universes. The authors have built a prototype implementation of these ideas based on the Noria dataflow engine. Implementing this as a joint partially-stateful dataflow is the key to doing this safely.

Database 90

Database Cache Benchmarking Efficiency 90

Percona

DECEMBER 23, 2022

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.

Storage 56

Storage Cache C++ Virtualization 56

CSS - Tricks

JUNE 5, 2020

The funny thing is that, while being far from a startup, Google does indeed have a powerful compression engine in real life called Brotli. The service categorized all the optimizations in three groups consisting of several “Content,” “Delivery,” and “Cache” optimizations. We only cache hot files in memory at edge servers.

Cache 83

Cache Website Servers Open Source 83

Percona

JUNE 22, 2023

” Here are additional metrics used to determine the reliability of a database, make adjustments that minimize downtime, and set benchmarks for meeting business continuity requirements. Each node has its own cache buffer.) Chaos engineering is designed to uncover unexpected, even shocking, surprises.

Availability 132

Availability Database Open Source Hardware 132

HammerDB

NOVEMBER 5, 2018

This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . To illustrate the data reads on Oracle we can flush the buffer cache. Consequently we now need to increase the buffer cache in size if we are to see more CPU activity. so what are your options? PostgreSQL.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. We get a strong sense for how bad site performance is going to be based on the percentage of engineering leads, PMs, and decision makers carrying high-end phones which they primarily use in urban areas. Deciding what benchmark to use for a performance budget is crucial.

Performance 74

Performance Network Benchmarking Mobile 74

John McCalpin

APRIL 25, 2023

For most high-end processors these values have remained in the range of 75% to 85% of the peak DRAM bandwidth of the system over the past 15-20 years — an amazing accomplishment given the increase in core count (with its associated cache coherence issues), number of DRAM channels, and ever-increasing pipelining of the DRAMs themselves.

Benchmarking 40

Benchmarking Cache Latency Tuning 40

Smashing Magazine

JUNE 26, 2019

Let the web developer handle all of the necessary speed optimizations like caching and file minification while you take on the following design tips and strategies: 1. As Adam Heitzman said in an article for Search Engine Journal : “Single page sites typically convert much easier to mobile and users find them simple to navigate.”.

Website 111

Website Speed Mobile Design 111

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. In early January a related paper was published by Satoshi Matsuoka et. petaflops, which is 0.8%

Architecture 52

Architecture Latency Benchmarking AWS 52

Percona

SEPTEMBER 1, 2023

Efficient memory management, including optimizing query caches and buffer pools, can help strike the right balance between memory consumption and query response times. Key parameters like the buffer pool size significantly impact efficiency by determining how much data MySQL can cache in memory for rapid access.

Tuning 52

Tuning Database Performance Hardware 52

Rigor

DECEMBER 19, 2019

For example, in a case study published by Gilt Groupe , Eric Shepherd, who was formerly Gilt’s principal front end engineer, noted that: Both RUM and synthetic monitoring give different views of our performance, and are useful for different things. Benchmark Against Competitors. About Rigor.

Monitoring 40

Monitoring Benchmarking Website Traffic 40

Brendan Gregg

FEBRUARY 8, 2018

Many thanks to the engineers working hard to develop workarounds to these processor bugs. This overhead can be reduced by A) pcid, fully available in Linux 4.14, and B) Huge pages. - **Cache access pattern**: the overheads are exacerbated by certain access patterns that switch from caching well to caching a little less well.

Performance 40

Performance Benchmarking Cache Tuning 40

Abhishek Tiwari

DECEMBER 13, 2017

Their result is particularly promising for specialized index structures termed as learned indexes which has potential to replace B-Trees without major re-engineering. They demonstrated that neural nets based learned index outperforms cache-optimized B-Tree index by up to 70% in speed while saving an order-of-magnitude in memory.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

Smashing Magazine

SEPTEMBER 28, 2022

On your first try, you can use it as a benchmark for optimizations later. An SSR application will generally have templating engines that inject the variables into an HTML when given to the client. Active Memory Caching. Caching partially stores your data and is not used as permanent storage. Caching Schemes.

Cache 141

Cache Performance Servers Architecture 141

Randon ASCII

JANUARY 12, 2022

That meant I started having regular meetings with the hardware engineers who were working with IBM on the CPU which gave me even more expertise on this CPU, which was critical in helping me discover a design flaw in one of its instructions , and in helping game developers master this finicky beast. register files? arithmetic units?)

Cache 126

Cache Latency Benchmarking Hardware 126

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. 3] As we'll see below, CPUs are not improving fast enough to cope with frontend engineers' rosy resource assumptions. The Moto G4 , for example. Today, either method returns a similar answer.

Performance 127

Performance Network Mobile Metrics 127

SQL Server According to Bob

JANUARY 11, 2020

Time of Last Access The time of last access is a caching ​​ algorithm ​​ that enables ​​ cache ​​ entries to be ordered by their ​​ access times.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 11, 2021

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019.

Performance 112

Performance Cache Servers Network 112

High Scalability

NOVEMBER 25, 2019

This is a guest post by Kalpesh Patel , an Engineer, who for Egnyte from home. Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. We use different types of caching techniques depending on the problem statements.

Architecture 52

Architecture Cache Azure Storage 52