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. This speeds up accesses and updates while offloading back-end database servers. Let’s take a look at some of these capabilities.

Cache 52

Cache Storage Servers Database 52

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

Smashing Magazine

SEPTEMBER 28, 2022

The resource loading waterfall is a cascade of files downloaded from the network server to the client to load your website from start to finish. It essentially describes the lifetime of each file you download to load your page from the network. You can see this by opening your browser and looking in the Networking tab.

Cache 127

Cache Performance Servers Social Media 127

Scalegrid

NOVEMBER 23, 2023

Configure the PostgreSQL hostname by editing configuration files and restarting the server, with secure storage of connection details to enhance security. It represents either an IP address or domain name of the server, where one can find those databases located. What is a Hostname in PostgreSQL?

Database 130

Database Servers Storage Network 130

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario.

Azure 72

Azure Virtualization Servers Storage 72

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

Performance 105

Performance Monitoring Traffic Database 105

HammerDB

APRIL 19, 2023

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used. Storage: The system has a SATA drive for the operating system and one NVMe (Intel SSD D7-P5510 (3.84 4.22 %usr 38.40

Performance 54

Performance Benchmarking Cache Storage 54

SQL Server According to Bob

MAY 19, 2019

SQL Server will ship Azure SQL Database Edge: [link]. With the announcement I can tell you more about one of the things we have been working on; SQL Server running on IoT Edge and Developer machines in under 500MB of memory. The effort focuses attention on memory usage and disk space requirements of SQL Server. Description.

IoT 61

IoT Servers Development Cache 61

Smashing Magazine

MAY 25, 2022

According to Mozilla Developer Network, the Map object holds key-value pairs and remembers the original insertion order of the keys. WeakMap can be used in two areas of web development: caching and additional data storage. With caching, a copy of the result from a request is saved locally. Let’s see this in action.

Cache 118

Cache Programming Storage Code 118

Smashing Magazine

DECEMBER 23, 2020

However, let’s take a step further and learn how to deploy modern qualities to PWAs, such as offline functionality, network-based optimizing, cross-device user experience, SEO capabilities, and non-intrusive notifications and requests. The service workers also retrieve the latest data once the server connection is restored.

Cache 125

Cache Internet Internet Google 125

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. Also, load-balancing after membership changes must be both multi-threaded and pipelined to drive the network at maximum bandwidth. Unwanted Client Exceptions from AppFabric.

Cache 40

Cache Servers Network Design 40

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.

Performance 110

Performance Latency Cache Virtualization 110

IO River

NOVEMBER 2, 2023

This is where a well-architected Content Delivery Network (CDN) shines. The goal is to boost the pitfalls of network disruptions and vendor dependencies, all while pocketing cost savings. Given its unchanging nature, static content is ideal for caching. As you engage with a video, it doesn’t stream in real time from the source.

Architecture 52

Architecture Performance Internet Internet 52

IO River

NOVEMBER 2, 2023

Transition to a Multi-CDN SetupA multi-CDN strategy has multiple advantages, like ensuring network redundancy and enhanced performance. Capacity CommitmentCommitting to a certain capacity for CDNs saves money by giving you a discounted rate on CDN bandwidth and storage.

Infrastructure 52

Infrastructure Traffic Cache Strategy 52

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media Hardware 40

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

The Morning Paper

FEBRUARY 6, 2020

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

Serverless 98

Serverless Lambda Cache Latency 98

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. It used to provide an insight into how quickly the server outputs any data.

Performance 145

Performance Cache Media Metrics 145

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. session state that you want to survive an application process crash), and to keep the application server/services layer stateless.

Cache 79

Cache Latency Google Lambda 79

Smashing Magazine

JUNE 25, 2020

Today, we’ll address storing and serving files for both single-server and scalable deployments while considering factors like compression, caching, and availability. We’ll also discuss the costs and benefits of CDNs and dedicated file storage solutions. The two types of Django deployments are: Single-Server. Media Files.

Media 70

Media Cache Storage AWS 70

Percona

APRIL 17, 2023

It is common to see a value of “ 0″ ( or sometimes “10” ) on database servers, telling the kernel to prefer to swap to memory for better response times. 20-30% is a good general default for “dirty_ratio,” but on large-memory database servers, this can be a lot of memory.

Best Practices 52

Best Practices Design Tuning Database 52

All Things Distributed

AUGUST 17, 2011

No Server Required - Jekyll & Amazon S3. As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. I took my time to figure out what weblog CMS I was going to use to free me from having to run a server.

Servers 126

Servers Social Media AWS Website 126

IO River

NOVEMBER 2, 2023

This is where a well-architected Content Delivery Network (CDN) shines. Â The goal is to boost the pitfalls of network disruptions and vendor dependencies, all while pocketing cost savings. This way, even if a user desires to watch in 4K but lacks the necessary network resources, HLS steps in to offer a lower-quality version.

Architecture 52

Architecture Performance Internet Internet 52

Dotcom-Montior

MARCH 6, 2022

To boost the bandwidth availability, the user should keep the images on a cloud server. The time captured by the server to produce a response. Moreover, caching utility may decrease the waiting time. Empty Cache (First View): The user access the website for the first time and has no cached data. Waiting time.

Performance 52

Performance Cache Website Speed 52

IO River

NOVEMBER 2, 2023

Transition to a Multi-CDN SetupA multi-CDN strategy has multiple advantages, like ensuring network redundancy and enhanced performance. Capacity CommitmentCommitting to a certain capacity for CDNs saves money by giving you a discounted rate on CDN bandwidth and storage.

Infrastructure 52

Infrastructure Traffic Cache Strategy 52

The Morning Paper

OCTOBER 4, 2020

The first 5G networks are now deployed and operational. The study is based on one of the world’s first commercial 5G network deployments (launched in April 2019), a 0.5 The 5G network is operating at 3.5GHz). The maximum physical layer bit-rate for the 5G network is 1200.98 The short answer is no.

Energy 130

Energy Latency Performance Network 130

Percona

JUNE 22, 2023

Load balancing : Requests are evenly distributed across multiple database servers, ensuring the system remains operational even if one server fails. Automated failover : To keep the database operational and minimize downtime, it automatically switches to a backup server if the primary server fails.

Availability 109

Availability Database Open Source Hardware 109

SQL Server According to Bob

JANUARY 11, 2020

Microsoft, ​​ Windows, ​​ Windows NT, ​​ and Windows Server ​​ are registered trademarks of Microsoft Corporation in the United States and/or other countries. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

Servers 40

Servers Cache Database Media 40

Percona

MAY 2, 2023

During the logical backups, using client API, the data gets read from the server and returned back to the same API, which will be serialized and written into respective “ bson”, “ json” or “ csv” backup files on disk depending upon the type of backup utilities used.

Best Practices 52

Best Practices Database Storage Servers 52

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It used to provide an insight into how quickly the server outputs any data. What does it mean? 300ms RTT, 1.6

Performance 145

Performance Cache Network Metrics 145

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Because all the work is performed with the IMDG, this has the two-fold advantage of offloading both the network and the client’s CPU. Java applications use a similar mechanism.).

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Because all the work is performed with the IMDG, this has the two-fold advantage of offloading both the network and the client’s CPU. Java applications use a similar mechanism.).

Analytics 52

Analytics Airlines Cache Scalability 52

SQL Performance

APRIL 27, 2020

Many of the newer features we have in SQL Server were initially launched in Azure SQL Database, including (but not limited to) Always Encrypted, Dynamic Data Masking, Row Level Security, and Query Store. The basic tier provides up to 5 DTUs with standard storage. vCore Pricing Tier. GB per vCore. HyperScale Database.

Azure 55

Azure Database Serverless Hardware 55

The Morning Paper

SEPTEMBER 10, 2019

Under the covers, it’s a sophisticated distributed system built on the tenets of cloud-native systems: Disaggregated (remote) storage, with read or write operations performed via RPCs, and immutable data (append only files). Cache all the things. Procella employs multiple caches to mitigate this networking penalty.

Analytics 75

Analytics Latency Cache Google 75

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