KeyCDN

JANUARY 23, 2020

A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. Teams can measure the performance of all application dependencies, including databases, web services, caching, and more.

Strategy 72

Strategy Metrics Monitoring Servers 72

Scalegrid

DECEMBER 21, 2023

Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Scalability.

Serverless 280

Serverless AWS Lambda Storage 280

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way.

Performance 124

Performance Hardware Tuning Storage 124

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. HA is sometimes confused with “fault tolerance.”

Availability 107

Availability Database Open Source Hardware 107

ScaleOut Software

APRIL 22, 2020

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. 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.

Database 167

Database Lambda AWS IoT 167

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

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. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications.

Scalability 167

Scalability Database Ecommerce Latency 167

Highly Scalable

SEPTEMBER 18, 2012

Scalability is one of the main drivers of the NoSQL movement. These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases.

Database 213

Database Latency C++ Scalability 213

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time.

Big Data 154

Big Data Processing Lambda Database 154

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

The Morning Paper

SEPTEMBER 19, 2019

MongoDB is an important database, and this paper explains the tunable (per-operation) consistency models that MongoDB provides and how they are implemented under the covers. Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time.

Blockchain 46

Blockchain Hardware Google Analytics 46

Highly Scalable

APRIL 2, 2012

The rationale behind these methods is that frontend should be able to fetch transient information very efficiently and separately from fetching of heavy-weight domain entities because this information cannot be cached. So, the only way was to cache all necessary data to minimize interaction with RDBMS.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

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

KB sectors run on smaller sectors   14 System and sample databases   15 Determining the formatted sector size of database   15 What sector sizes does SQL Server support? KB boundary   12 Larger transaction logs   13 Restore and attach   14 Format for 4 ?KB

Servers 40

Servers Cache Database Media 40

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

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. Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Disk based caching.

Architecture 52

Architecture Cache Azure Storage 52

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