Scalegrid

APRIL 16, 2020

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). This becomes really important for cache solutions like Redis™. Expert Tip. Security Groups.

Cloud 242

Cloud Azure AWS Database 242

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Dotcom-Montior

JUNE 15, 2020

Essentially, all traffic between China and the rest of the world goes through a few national level and a handful of core level access points in different regions. The censorship and monitoring of internet have evolved from anti-virus-like and firewall software to hardware security patches for all devices that uses internet.

Monitoring 52

Monitoring Performance Artificial Intelligence Internet 52

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. Distributed tracing and instrumentation.

Big Data 45

Big Data Cloud Performance Hardware 45

CSS - Tricks

JULY 25, 2019

Cache-Headers missing? Service workers that will cache the bytecode result of a parsed and compiled script. After that, it’ll be mitigated by cache. To successfully uncover significant differences in user experience, we suggest using a performance monitoring system (like Calibre !) What changed in PageSpeed 5.0?

Google 71

Google Engineering Speed Mobile 71

Percona

AUGUST 8, 2023

As such, one of the more common questions I get from my clients is whether or not their system will be able to endure an anticipated load increase. Or worse yet, sometimes I get questions about regaining normal operations after a traffic increase caused performance destabilization. Let’s take a look at each common resource.

Traffic 90

Traffic Cache Monitoring Database 90

Dynatrace

AUGUST 30, 2019

She was speaking about how her team is providing Visibility as a Service (VaaS) in order to continuously monitor and optimize their systems running across private and public cloud environments. Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. You may ask: How is this possible?

Cache 198

Cache Architecture Database Government 198

SQL Server According to Bob

DECEMBER 18, 2018

Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. For example, if a flight booking reports that a seat has successfully been booked, then the seat will remain booked even if the system crashes.” – [link]. The Back Story.

Servers 90

Servers Media Cache Storage 90

The Morning Paper

NOVEMBER 14, 2019

Taiji: managing global user traffic for large-scale internet services at the edge Xu et al., It’s another networking paper to close out the week (and our coverage of SOSP’19), but whereas Snap looked at traffic routing within the datacenter, Taiji is concerned with routing traffic from the edge to a datacenter. SOSP’19.

Traffic 42

Traffic Internet Internet Latency 42

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. Load balancers can detect when a component is not responding and put traffic redirection in motion.

Availability 111

Availability Database Open Source Hardware 111

The Morning Paper

JUNE 25, 2019

This paper is all about the design of efficient data structures for far-memory, which turns out to have consequences reaching all the way down to the hardware. A far memory data structure has: far data in far memory, containing the core content of the data structure data caches at clients algorithms for operations. Refreshable vectors.

Design 80

Design Cache Hardware Scalability 80

ACM Sigarch

OCTOBER 12, 2020

Are caches large enough for this code? There’s some work on hardware proposals for these systems, like Zhu et al., They need help tracking down expensive and insidious traffic across the language boundaries (copying and serialization). Is there room for accelerators? But let’s find out and see if we can help.

C++ 108

C++ Benchmarking Hardware Architecture 108

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. 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.

Best Practices 52

Best Practices Design Tuning Database 52

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version.

Performance 124

Performance Network Cache Metrics 124

Alex Russell

OCTOBER 22, 2017

Tools and CI systems help them monitor progress & prevent regressions. Some systems show median RTTs near ~100ms for 3G users. Contended, over-subscribed cells can make “fast” networks brutally slow, transport variance can make TCP much less efficient , and the bursty nature of web traffic works against us.

Performance 68

Performance Benchmarking Network Mobile 68

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system. All Things Distributed. Amazon DynamoDB â?? By Werner Vogels on 18 January 2012 07:00 AM.

Scalability 167

Scalability Database Ecommerce Latency 167

Smashing Magazine

AUGUST 22, 2021

Some examples of the latter are heavily cached websites, as well as single-page apps that periodically fetch small updates via APIs and other protocols such as DNS-over-QUIC. Examples include repeat visits on well-cached pages and background downloads and API calls in single-page apps. Gbps, compared to 11.85 also needs to execute.

Performance 105

Performance Network Latency Servers 105

Smashing Magazine

JANUARY 21, 2021

We never used CSS-in-JS or styled-components, but instead a good ol’ component-based system of Sass-modules which would be compiled into CSS. Plus a service worker that caches all static assets and serves them for repeat views, along with cached versions of articles that a reader has already visited.

Performance 145

Performance Cache Mobile Network 145

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. You can create your own on Chrome UX Dashboard. Large preview ). Large preview ).

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

For Mac OS, we can use Network Link Conditioner , for Windows Windows Traffic Shaper , for Linux netem , and for FreeBSD dummynet. 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). Lighthouse , a performance auditing tool integrated into DevTools.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

For Mac OS, we can use Network Link Conditioner , for Windows Windows Traffic Shaper , for Linux netem , and for FreeBSD dummynet. 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). Lighthouse , a performance auditing tool integrated into DevTools.

Performance 103

Performance Cache Metrics Network 103