HammerDB

JUNE 27, 2022

HammerDB supports 2 workloads derived from TPC specifications to test these different requirements, namely TPROC-C derived from TPC-C for OLTP and TPROC-H derived from TPC-H for OLAP. In addition to the TPC-C specification for OLTP workloads, the TPC has also developed the TPC-E specification. Cached vs Scaled Workloads.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

Smashing Magazine

JUNE 18, 2020

Flutter isn’t that, though: it runs natively on each platform, and it means each app runs just like it would run if it were written in Java/Kotlin or Objective-C/Swift on Android and iOS, pretty much. You need to know that because this implies that you need to take care of the many differences between these very diverse platforms.

Storage 103

Storage Mobile Website Java 103

Smashing Magazine

JUNE 30, 2021

First and foremost, this allows you to implement arbitrarily complex caching behavior, but it has also been extended to let you tap into long-running background fetches, push notifications, and other functionality that requires code to run without an associated page.

Games 145

Games Architecture Code C++ 145

Brendan Gregg

AUGUST 29, 2021

100.00 ^C I'm looking at the r_await column in particular: the average wait time for reads in milliseconds. Reads usually have apps waiting on them; writes may not (write-back caching). Hit Ctrl-C to end. ^C Hit Ctrl-C to end. ^C This is a 64-Gbyte memory system, and 48 Gbytes is in the page cache (the file system cache).

Cache 40

Cache C++ AWS Systems 40

Brendan Gregg

SEPTEMBER 5, 2021

Just for illustration, this shows the Vector UI and a typical cloud flame graph: Note that this sample flame graph is dominated by Java, shown by the green frames. The other colors are yellow for C++, and red for other user-level code.) The ZFS Adapative Replacement Cache (ARC) is the main memory cache for the file system.

Cache 52

Cache Cloud Java Tuning 52

The Morning Paper

MAY 12, 2019

The suite is built using popular OSS applications and representative technologies, deliberately using a mix of languages (C/C++, Java, Javascript, node.js, Python, Ruby, Go, Scala, …) and both RESTful and RPC (Thrift, gRPC) style service interfaces. The most prominent source of misses, especially in the kernel, was Thrift.

Open Source 61

Open Source Hardware Benchmarking Systems 61

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Ecommerce 40

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Ecommerce 40

Brendan Gregg

SEPTEMBER 5, 2021

Just for illustration, this shows the Vector UI and a typical cloud flame graph: Note that this sample flame graph is dominated by Java, shown by the green frames. ## 4. The other colors are yellow for C++, and red for other user-level code.) The ZFS Adapative Replacement Cache (ARC) is the main memory cache for the file system.

Cache 40

Cache Cloud Code Java 40

Enprowess

MAY 24, 2022

When a web crawler visits a server that has already rendered the content and pictures, indexing and caching of the content becomes quicker. When one needs to make complex calculations simultaneously, then Swift, Objective-C, and Java have more speed than JavaScript since there are overheads within JavaScript to control native elements.

Mobile 52

Mobile Open Source Virtualization Speed 52

Percona

JUNE 4, 2023

MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. In-development for MySQL 8.0 (now now a release candidate) In-development for MySQL 8.0 (now In-development for MySQL 8.0

Open Source 52

Open Source Servers Storage Scalability 52

The Morning Paper

SEPTEMBER 12, 2019

A pipeline breaker occurs when the output of one operator must be materialized to disk or transferred over the network, as opposed to being directly communicated from operator to operator via CPU cache, or, in the worst case, via RAM. The implementations require both SQL and also some UDFs written in C++.

Network 44

Network Database Programming Hardware 44

Smashing Magazine

NOVEMBER 30, 2021

Adding A Dyslexia-Friendly Mode To A Website written by John C Barstow. Your template goes here, your Java script goes here, your CSS goes here. So I can have a multipage app, cache my API calls for a short period of time without having to cache them in memory. Wildcard Subdomains written by Sam Poder. Transcript.

Technology 114

Technology Technology Servers Code 114

High Scalability

NOVEMBER 25, 2019

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Languages: Java. Nginx for disk based caching. Java used to power core file system code. We use different types of caching techniques depending on the problem statements. Hybrid Sync.

Architecture 52

Architecture Cache Azure Storage 52