Percona

NOVEMBER 9, 2023

Kubernetes manages and orchestrates these containers, handling tasks such as deployment, scaling, load balancing, and networking. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. In essence, it establishes permissions within a Kubernetes cluster.

Efficiency 105

Efficiency Cloud Healthcare Open Source 105

Adrian Cockcroft

FEBRUARY 9, 2023

The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. The virtualization and networking platform could be datacenter based, with something like VMware, or cloud based using one of the cloud providers such as AWS EC2.

Engineering 137

Engineering Serverless Lambda AWS 137

Sutter's Mill

NOVEMBER 11, 2023

Instead, you want a library that is tuned for your target hardware architecture and ready for par_unseq vectorized algorithms, for blazing speed. SG4 (Networking) continued working on updating the networking proposal for std::execution senders and receivers. This is that library.

C++ 107

C++ Lambda Network Programming 107

Tech News Gather

JULY 19, 2023

Otherwise, you may not be able to locate enough appropriate hardware and end up having to often switch between different programs. Hubs The hub would be the primary data collector and manager for a network of remote monitoring smart devices. Connect the architectural pieces of your program using secure gateways.

Wireless 52

Wireless IoT Development Internet 52

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. We formulate the problem as a Mixed Integer Program (MIP).

Cache 251

Cache Latency Airlines Logistics 251

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? MPI is a commonly used standard to implement message-passing programs on computer clusters. The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

Alex Russell

JANUARY 30, 2024

It's time once again to update our priors regarding the global device and network situation. HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. What's changed since last year? and 75KiB of JavaScript.

Performance 90

Performance Network Mobile Speed 90

ACM Sigarch

OCTOBER 25, 2018

Over the last two decades, processor designers have extracted significant performance by leveraging architectural solutions and process innovations. So does this mean the current generation of out-of-order architecture is approaching fundamental limits in ST performance? to extract ILP during execution.

Architecture 67

Architecture Technology Technology Innovation 67

All Things Distributed

NOVEMBER 15, 2010

We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. General Purpose GPU programming.

AWS 136

AWS Latency Programming Architecture 136

Brendan Gregg

FEBRUARY 28, 2023

I'm now program co-chair for SREcon 2023 APAC, and our 2023 conference is June 14-16 in Singapore. And now, helping bring USENIX conferences to Australia by giving the first keynote: I could not have scripted or expected it. The call for participation ends on March 2nd 23:59 SGT!

Performance 110

Performance Latency Cache Virtualization 110

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. As a consequence, the vast majority of the papers in the past has usually focused on conventional X86 or GPU-accelerated architectures.

Architecture 12

Architecture Hardware Cache Storage 12

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. Note that the class size is limited to about 100, so that I’ll be able to interact with most attendees directly.

Latency 51

Latency C++ Hardware Performance 51

All Things Distributed

SEPTEMBER 6, 2013

Unilever – Unilever R&D program intended to accelerate the company’s scientific progress through improved access to global information. It makes use of the Eagle Genomics platform running on AWS, resulting in that Unilever’s digital data program now processes genetic sequences twenty times faster—without incurring higher compute costs.

Cloud 129

Cloud Energy AWS Healthcare 129

Adrian Cockcroft

JUNE 21, 2022

The early days at Sun Cambridge were special, I absorbed a lot about networking and the technical side of the role from my fellow systems engineer Martin Baines, and we were driving all over the region in cool company cars (I had a Citroen BX 16V) selling a really hot product. Rich Pettit is one of the best programmers I ever met.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Testsigma

FEBRUARY 6, 2020

The program is run and inputs are provided, the actual results are validated against expected results. The Software Program is considered as a black box, and the user is not interested in the internal structure of the box. Unlike, White Box testing, testers do not need to have complete programming knowledge.

Software 69

Software Software Testing Scalability 69

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

Alex Russell

SEPTEMBER 20, 2020

Pre-publication gates were valuable when better answers weren't available, but commentators should update their priors to account for hardware and software progress of the past 13 years. Fast forward a decade, and both the software and hardware situations have changed dramatically. " Platforms, while plural, are not equal.

Hardware 64

Hardware Mobile Programming Java 64

ACM Sigarch

AUGUST 20, 2018

same instruction set architecture, same operating system, etc.). Looking at current hardware and software security research, however, we are seeing a number of technologies that are being developed that limit this type of broad interoperability. What does a world of individualized software and data look like?

Hardware 47

Hardware Operating System Architecture Software 47

ACM Sigarch

NOVEMBER 4, 2019

The technical program, put together by program chairs Tor Aamodt and Reetuparna Das , showcased key innovations across a wide range of computer architecture topics, from domain-specific accelerators to in/near-memory computing and from security to quantum computing. . This year’s MICRO had three inspiring keynote talks.

Hardware 18

Hardware Architecture Programming Innovation 18

Brendan Gregg

FEBRUARY 28, 2023

I'm now program co-chair for SREcon 2023 APAC, and our 2023 conference is June 14-16 in Singapore. And now, helping bring USENIX conferences to Australia by giving the first keynote: I could not have scripted or expected it. It was a great privilege. The call for participation ends on March 2nd 23:59 SGT!

Performance 52

Performance Latency Cache Virtualization 52

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. For the feed-forward neural network, TensorFlow using GPUs is still significantly faster with smaller hidden layers, but cannot scale.

Network 44

Network Database Programming Hardware 44

Alex Russell

JULY 14, 2021

Because they lean on the system-provided WebView component, they do not need to pay the expense of a heavier app download to support rendering HTML, running JavaScript, decoding images, or loading network resources. Hardware access APIs, notably: Geolocation. Basic navigation and window management features to (e.g. Web Bluetooth.

Google 121

Google Mobile Engineering Internet 121

The Netflix TechBlog

NOVEMBER 15, 2022

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” Every VFX studio has a slightly different architecture and workflow, and a one-size-fits-all solution often isn’t enough to bridge the gap.

Cloud 282

Cloud Entertainment AWS Infrastructure 282

ScaleOut Software

APRIL 22, 2020

Although they are powerful, parallel queries can overload both a requesting client and the network by returning a large number of query results. Moving code to where the data lives accelerates processing while minimizing network usage. Distributed Caches Can Help Now.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

Although they are powerful, parallel queries can overload both a requesting client and the network by returning a large number of query results. Moving code to where the data lives accelerates processing while minimizing network usage. Distributed Caches Can Help Now.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

JULY 27, 2018

A bigger problem with query is that when it matches many results, a large amount of data may need to be returned over the network to the requesting client for processing, as illustrated below. This can quickly saturate the network (and bog down the client).

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

A bigger problem with query is that when it matches many results, a large amount of data may need to be returned over the network to the requesting client for processing, as illustrated below. This can quickly saturate the network (and bog down the client).

Scalability 40

Scalability Cache Airlines Healthcare 40

SQL Server According to Bob

JANUARY 11, 2020

Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies. Most manufacturers' implementations immediately flush pending writes to physical disk during the restart operations.

Servers 40

Servers Cache Media Hardware 40

John McCalpin

NOVEMBER 5, 2016

The art and science of microprocessor architecture is a never-ending struggling to balance complexity, verifiability, usability, expressiveness, compactness, ease of encoding/decoding, energy consumption, backwards compatibility, forwards compatibility, and other factors.

Cache 40

Cache C++ Latency Hardware 40

The Netflix TechBlog

DECEMBER 23, 2020

Titus internally employs a cellular bulkhead architecture for scalability, so the fleet is composed of multiple cells. Many bulkhead architectures partition their cells on tenants, where a tenant is defined as a team and their collection of applications. We do not take this approach, and instead, we partition our cells to balance load.

Media 286

Media Metrics Systems Processing 286

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network.

Architecture 52

Architecture Cache Azure Storage 52