ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

The Morning Paper

MARCH 17, 2020

An empirical guide to the behavior and use of scalable persistent memory , Yang et al., The Optane DIMM is the first scalable, commercially available NVDIMM. Use non-temporal stores for large transfers, and control cache evictions. FAST’20. most recently ‘ Efficient lock-free durable sets ‘). to 0.98.

Scalability 59

Scalability Latency Cache Media 59

Highly Scalable

AUGUST 20, 2013

In addition, we survey the current and emerging technologies and provide a few implementation tips. In many cases join is performed on a finite time window or other type of buffer e.g. LFU cache that contains most frequent tuples in the stream. The article is based on a research project developed at Grid Dynamics Labs.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. s Dynamo technology , which was one of the first non-relational databases developed at Amazon. This was not our technology vendorsâ?? All Things Distributed.

Scalability 167

Scalability Database Ecommerce Latency 167

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. It also supports the flexibility and scalability of the database infrastructure.

Availability 107

Availability Database Open Source Hardware 107

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. Amazon Redshift) and Elasticsearch machines. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

SQL Server According to Bob

JUNE 3, 2016

My development collogues and I are starting a regular blog series, outlining the vast range of scalability improvements, allowing SQL Server 2016 to run across a wide array of hardware configurations, faster and better than previous releases of SQL Server. The following table is taken from an ASP.NET, session state cache, stress test.

Hardware 40

Hardware Software Engineering Transportation Scalability 40

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

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. GAIA proposed to expand the OS page cache into accelerator memory. ATC ’19 was refreshingly different. Heterogeneous ISA.

Architecture 12

Architecture Hardware Cache Storage 12

Smashing Magazine

JANUARY 11, 2021

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. This improves page load time and caching during navigations.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Gatsby (React), Vuepress (Vue) Preact CLI , and PWA Starter Kit provide reasonable defaults for fast loading out of the box on average mobile hardware. ??Also,

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Gatsby.js (React), Preact CLI , and PWA Starter Kit provide reasonable defaults for fast loading out of the box on average mobile hardware. Image credit: Addy Osmani ) ( Large preview ).

Performance 104

Performance Cache Metrics Network 104

High Scalability

NOVEMBER 25, 2019

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. Do you use any particularly cool technologies or algorithms? We use different types of caching techniques depending on the problem statements. Disk based caching.

Architecture 52

Architecture Cache Azure Storage 52