IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. A cautious approach is crucial when transitioning to a M-CDN architecture.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

Scalegrid

JULY 29, 2020

In our previous posts in this series, we spoke at length about using PgBouncer and Pgpool-II , the connection pool architecture and pros and cons of leveraging one for your PostgreSQL deployment. PgBouncer provides a virtual database that reports various useful statistics. Administration. Host-based authentication.

Benchmarking 246

Benchmarking Database Performance Testing Availability 246

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. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. A cautious approach is crucial when transitioning to a M-CDN architecture.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

ScaleOut Software

MAY 15, 2014

Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

Cache 40

Cache Servers Network Design 40

SQL Performance

APRIL 27, 2020

Fast forward a few years after Azure SQL Database was released to when Azure SQL Managed Instance was in public preview, and "vCores" (virtual cores) were announced for Azure SQL Database. Hyperscale achieves high performance from each compute node having SSD-based caches which helps minimize the network round trips to fetch data.

Azure 55

Azure Database Serverless Hardware 55

The Morning Paper

APRIL 14, 2019

Microarchitectural state of interest includes data and instruction caches, TLBs, branch predictors, instruction- and data-prefetcher state machines, and DRAM row buffers. cache) can be partitioned across domains; for those that are instead time-multiplexed, we have to flush them during domain switches.

Hardware 44

Hardware Cache Latency Speed 44

Percona

APRIL 17, 2023

Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100. The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture.

Best Practices 52

Best Practices Design Tuning Database 52

Enprowess

SEPTEMBER 7, 2021

The technology develops single-page applications , websites, and backend API services designed with real-time and push-based architectures. with its low latency I/O operations, gives the benefit of ‘No buffering’ to developers. The performance of React improves because of the Virtual DOM algorithm. Caching of individual modules.

Open Source 52

Open Source Virtualization Programming Servers 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. Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. The Challenges with Parallel Queries.

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. Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. The Challenges with Parallel Queries.

Analytics 52

Analytics Airlines Cache Scalability 52

Percona

MAY 15, 2023

In both cases, when using virtually-synchronous replication, the process will require certification from each node and local (by node) write; as such, the number of writes is NOT distributed across multiple nodes but duplicated. Because the solutions still rely on writing in one single node that works as Primary.

Traffic 122

Traffic Scalability Database Servers 122

Smashing Magazine

JANUARY 11, 2021

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Large preview ). Shipped in Next.js

Performance 145

Performance Cache Media Metrics 145

The Netflix TechBlog

SEPTEMBER 24, 2021

Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram. Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances.

Cloud 237

Cloud Media Storage Cache 237

SQL Server According to Bob

JANUARY 11, 2020

Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 40

All Things Distributed

SEPTEMBER 3, 2013

Choosing your database architecture may be the most critical decision you’ll make and has a disproportionate impact on the performance, scalability, and availability of your app. No single database architecture or solution can meet all of Amazon.com’s or our customers’ needs.

Cache 129

Cache Cloud Performance Retail 129

All Things Distributed

JANUARY 18, 2012

Amazon DynamoDB offers low, predictable latencies at any scale. This architectural pattern was a response to the scaling challenges that had challenged Amazon.com through its first 5 years, when direct database access was one of the major bottlenecks in scaling and operating the business. This impacts the predictability of a Domainâ??s

Scalability 167

Scalability Database Ecommerce Latency 167