Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. They maintain fault tolerance and redundancy by replicating this information throughout various nodes in the system.

Storage 130

Storage Systems Big Data Azure 130

Percona

MARCH 23, 2023

These guidelines work well for a wide range of applications, though the optimal settings, of course, depend on the workload. 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. I hope this helps!

Performance 125

Performance Hardware Tuning Storage 125

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency. ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Smashing Magazine

AUGUST 15, 2021

Cache Merril. Companies can use technology roadmaps to review their internal IT , DevOps, infrastructure, architecture, software, internal system, and hardware procurement policies and procedures with innovation and efficiency in mind. Evaluate Current Systems And Chart A Course. How To Develop Your Business’ Technology Roadmap.

Technology 139

Technology Technology Development Strategy 139

The Morning Paper

DECEMBER 8, 2019

Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc. What about security?

Hardware 56

Hardware Programming Media Storage 56

The Morning Paper

FEBRUARY 20, 2020

At some later point a SQL query is issued which SELECT s a model and then uses the PREDICT function to generate a prediction from the model given some input data (which is itself of course the result of a query). There are limitations to this model of course. It can’t handle loops for example (an analysis of 4.6M The last word.

Processing 72

Processing Hardware Database Azure 72

Sutter's Mill

FEBRUARY 13, 2017

” This contains updated and new material that reflects the latest C++ standards and compilers, with a focus to using modern C++11/14/17 effectively on modern hardware and memory architectures. On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.”

Latency 51

Latency C++ Hardware Performance 51

Alex Russell

APRIL 29, 2021

An extension to Service Workers that enables browsers to present users with cached content when offline. is access to hardware devices. This allows customisation and use of specialised features without custom, proprietary software for niche hardware. Some commenters appear to confuse unlike hardware for differences in software.

Media 145

Media Games Education Engineering 145

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. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 107

Availability Database Open Source Hardware 107

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. Not as much as we'd like, of course, but the worldwide baseline has changed enormously. Hardware Past As Performance Prologue. There are differences, of course, but not where it counts.

Performance 124

Performance Network Cache Metrics 124

Alex Russell

OCTOBER 22, 2017

Add onto that the yawning chasm between low-end and high-end device performance thanks to chip design factors like cache sizes, and it can be difficult to know where to set a device baseline. Performance isn’t the (entire) product, of course. The gzip compression factor for JS code is between 5x and 7x.

Performance 68

Performance Benchmarking Network Mobile 68

Smashing Magazine

AUGUST 22, 2021

This method is often called 0-RTT (although, of course, it still takes one round trip for the HTTP response data to start arriving). 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. As for TLS 1.3,

Performance 105

Performance Network Latency Servers 105

The Morning Paper

SEPTEMBER 12, 2019

SQL provides a declarative programming interface, below which the system itself can figure out the most effective execution plans based on data size and statistics, layout, compute hardware etc. Once a library of UDFs have been built up of course, they could be reused across computations. Be careful what you ask for (materialize).

Network 44

Network Database Programming Hardware 44

Highly Scalable

SEPTEMBER 18, 2012

A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Network partitions of course can lead to violation of this guarantee. (G, Permanent redirection means that the client is able to cache the mapping between the shard and the node. Data Placement.

Database 213

Database Latency C++ Scalability 213

SQL Performance

MARCH 8, 2021

This uses hardware, typically a crystal oscillator, that produces ticks at a very high constant rate regardless of processor speed, power settings, or anything of that nature. Total elapsed time is 933ms with 6,673ms of CPU time with a warm cache. SQL Server uses the high-precision QueryPerformanceCounter API to capture timing data.

Servers 95

Servers Tuning Architecture Processing 95

Smashing Magazine

JANUARY 21, 2021

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. The reasons for it are numerous, but the most important one is a huge difference in network conditions and device hardware across the world.

Performance 145

Performance Cache Mobile Network 145

MachMetrics

JANUARY 23, 2020

We wanted to have control of the hardware that runs our tests and deliver consistent results. Of course, you still won’t see the same loading time every test , so let’s look at some of the reasons why. Below you’ll see an image showing a graph of a website’s test results over the course of a month.

Speed 62

Speed Testing Website Cache 62

Smashing Magazine

APRIL 29, 2021

You can of course also do this manually just using the <img> element directly. Device Pixel Ratio (DPR) represents how a CSS pixel is translated to physical pixels on a hardware screen. will optimize images dynamically upon request and store them in a local cache. DRM-free, of course. We’ll cover this later.

Media 145

Media Network Metrics Mobile 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. This improves page load time and caching during navigations.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

This might be very different for your company, of course, but that’s a close enough approximation of a majority of customers out there. 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). Both of them are great introductions for diving into Webpack.

Performance 145

Performance Cache Network Metrics 145

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). Of course, your data might show that your customers are not on these devices, but perhaps they simply don’t show up in your analytics because your service is inaccessible to them due to slow performance.

Performance 103

Performance Cache Metrics Network 103