Percona

JANUARY 19, 2023

In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL. Redundant indexes: It is known that accessing rows by fetching an index is more efficient than through a table scan in most cases. It can help us to save costs on storage and backup times.

Open Source 88

Open Source Storage Database Big Data 88

Smashing Magazine

SEPTEMBER 28, 2022

On your first try, you can use it as a benchmark for optimizations later. Developing software is becoming easier as frameworks like React, Vue, or Angular become the go-to solution for creating even the simplest applications. Because of this, Jamstack apps usually load faster, but it’s harder for developers to make dynamic content.

Cache 126

Cache Performance Servers Social Media 126

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. Benchmarks xtrabackup –prepare on backup directory of other sizes like 10K, 50K, 100K, and 250K tables. This search tuple (key) is used to find the record to perform the undo operation.

Cache 85

Cache Benchmarking Servers Design 85

The Morning Paper

NOVEMBER 26, 2019

Quark has three main components: A library of MRDT modules for basic data structures such as lists and binary trees, and a collection of signatures and functions that help in the development of new MRDTs. How do you efficiently store, compute, and retrieve the LCA given two concurrent versions?

C++ 98

C++ Storage Benchmarking Efficiency 98

The Morning Paper

JUNE 16, 2019

The challenging thing of course, is efficiently maintaining all of these parallel universes. If we do that naively though, we’re going to end up with a lot of universes to store and maintain and the storage requirements alone will be prohibitive. These ideas make an efficient multiverse database possible.

Database 90

Database Cache Benchmarking Efficiency 90

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. It could help us design and implement more targeted reward functions.

Testing 163

Testing AWS Lambda Network 163

Scalegrid

MARCH 28, 2024

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice.

Cache 130

Cache Storage Scalability Architecture 130

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security.

AWS 37

AWS Entertainment Open Source Benchmarking 37

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. All the tedious tasks such as storage, backups, and configuration are managed by an attentive crew so that you can concentrate on making your vacation special.

Database 130

Database Cloud Hardware Storage 130

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. Why HammerDB was developed. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. HammerDB development. Usage and industry adoption. Derived Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. Telltale provides Edgar with latency benchmarks that indicate if the individual trace’s latency is abnormal for this given service. What is Edgar?

Latency 296

Latency Transportation Engineering Traffic 296

Percona

JULY 1, 2023

Download our eBook, “ Enterprise Guide to Cloud Databases ” to help you make more informed decisions and avoid costly mistakes as you develop and execute your cloud strategy. Amazon Aurora is a proprietary, cloud-native, fully managed relational database service developed by Amazon Web Services (AWS).

AWS 52

AWS Database Serverless Storage 52

Percona

JANUARY 24, 2023

This will be clearly visible in PostgreSQL performance benchmarks as a “ Sawtooth wave ” pattern observed by Vadim in his tests: As we can see, the throughput suddenly drops after every checkpoint due to heavy WAL writing and gradually picks up until the next checkpoint. But this comes with a considerable performance implication.

Database 116

Database Benchmarking Open Source Latency 116

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

Particular Software

SEPTEMBER 20, 2021

Sometimes developers only care about speed. Why RPC is “faster” It’s tempting to simply write a micro-benchmark test where we issue 1000 requests to a server over HTTP and then repeat the same test with asynchronous messages. But that’s just a micro-benchmark and doesn’t tell you the whole story.

Benchmarking 97

Benchmarking Latency Servers Systems 97

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. This can mean that instead of failing completely, a system continues to operate, but possibly at a reduced level of efficiency.

Availability 107

Availability Database Open Source Hardware 107

Alex Russell

OCTOBER 22, 2017

One of the most surprising results has been the frequent occurrence of “ambush by JavaScript” : We need a new term for the business-opportunity wastage that modern front-end development has created. Budgets are scaled to a benchmark network & device. Deciding what benchmark to use for a performance budget is crucial.

Performance 68

Performance Benchmarking Network Mobile 68

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. This philosophy manifests itself in all areas, including installation, application development, and cluster management. Testing Scale-Up Performance.

Cache 40

Cache Servers Network Design 40

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. See the article for more details. SQL Server 7.0

Servers 40

Servers Cache Media Hardware 40

SQL Server According to Bob

JANUARY 11, 2020

url=/library/en-us/fileio/fs/sparse_files.asp ) ​​ on the ​​ Microsoft Developer Network ​​ (MSDN). Streams ​​ NTFS volumes ​​ enable ​​ data files to have one or more secondary storage streams.

Servers 40

Servers Cache Database Media 40

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

Smashing Magazine

JANUARY 6, 2020

In many organizations, front-end developers know exactly what common underlying problems are and what loading patterns should be used to fix them. So every time a conversation about further development happens, performance is a part of that conversation as well. Establish a performance culture. thanks, Guy Podjarny! Large preview ).

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

In many organizations, front-end developers know exactly what common underlying problems are and what strategies should be used to fix them. So every time a conversation about further development happens, performance is a part of that conversation as well. Establish a performance culture. Large preview ). Large preview ).

Performance 145

Performance Cache Media Metrics 145