The Morning Paper

APRIL 14, 2019

The paper sets out what we can do in software given today’s hardware, and along the way also highlights areas where cooperation from hardware will be needed in the future. There are two strategies for this: some classes of resource (e.g. Microarchitectural channels. Threat scenarios.

Hardware 44

Hardware Cache Latency Speed 44

The Morning Paper

NOVEMBER 5, 2019

Breaking that assumption allowed Ceph to introduce a new storage backend called BlueStore with much better performance and predictability, and the ability to support the changing storage hardware landscape. But let’s take a quick look at the changing hardware landscape before we go on… The changing hardware landscape.

Storage 64

Storage Systems Hardware Efficiency 64

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. Performance Budgets, Pragmatically shows you a strategy to achieve that.

Performance 145

Performance Cache Media Metrics 145

The Morning Paper

NOVEMBER 14, 2019

The ability of a datacenter to handle traffic changes over time as capacity is added or removed, and hardware upgraded The routing needs to be able to tolerate failures without making the situation worse. Sharing is caring caching. For example, balance utilisation across all data centers, or optimise for network latency.

Traffic 42

Traffic Internet Internet Latency 42

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

Smashing Magazine

JANUARY 6, 2020

It might be tempting to get into quick "low-hanging-fruits"-optimizations early on — and it might be a good strategy for quick wins — but it will be very hard to keep performance a priority without planning and setting realistic, company-tailored performance goals. when web fonts aren’t loaded yet). Planning, planning, planning.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

It might be tempting to get into quick "low-hanging-fruits"-optimizations early on — and eventually it might be a good strategy for quick wins — but it will be very hard to keep performance a priority without planning and setting realistic, company-tailored performance goals. when web fonts aren’t loaded yet). Large preview ).

Performance 103

Performance Cache Metrics Network 103

Highly Scalable

SEPTEMBER 18, 2012

Historically, NoSQL paid a lot of attention to tradeoffs between consistency, fault-tolerance and performance to serve geographically distributed systems, low-latency or highly available applications. A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Data Placement.

Database 213

Database Latency C++ Scalability 213

Percona

APRIL 17, 2023

The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. Make sure the drives are mounted with noatime and also if the drives are behind a RAID controller with appropriate battery-backed cache.

Best Practices 52

Best Practices Design Tuning Database 52

Alex Russell

OCTOBER 22, 2017

This rework delays launch which, in turn, delays gathering data about the viability of a PWA strategy. It simulates a link with a 400ms RTT and 400-600Kbps of throughput (plus latency variability and simulated packet loss). Simulated packet loss and variable latency, however, can make benchmarking extremely difficult and slow.

Performance 68

Performance Benchmarking Network Mobile 68

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. That ​​ way ​​ you can recover from a failure condition.

Servers 40

Servers Cache Database Media 40

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. This strategy is applicable for joining of a large relation with a small relation or two small relations. A typical example is a computation of the sum function.

Big Data 154

Big Data Processing Lambda Database 154