ACM Sigarch

APRIL 26, 2018

APU: Accelerated Processing Unit is the AMD’s Fusion architecture that integrates both CPU and GPU on the same die. They introduced the architecture of coarse grain reconfigurable array (CGRA) for statically scheduled data flow computing in HOTCHIPS’17 and its software stack of compiler and linker in ICCAD’17. TFLOPS FP-64, 14.8

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Dynatrace news. Testing for mishaps you can predict is essential. Any failures in the stack break the hypothesis. Blast radius. That’s a good thing.

Engineering 230

Engineering Entertainment Cloud Infrastructure 230

Dynatrace

APRIL 5, 2021

You will likely need to write code to integrate systems and handle complex tasks or incoming network requests. Lambda’s highly efficient, on-demand computing environment aligns with today’s microservices-centric architectures, and readily integrates with other popular AWS offerings that an organization may already be using.

Lambda 183

Lambda AWS Serverless Hardware 183

The Morning Paper

OCTOBER 4, 2020

The first 5G networks are now deployed and operational. The study is based on one of the world’s first commercial 5G network deployments (launched in April 2019), a 0.5 The 5G network is operating at 3.5GHz). Future 5G Standalone Architecture (SA) deployments with a native 5G control plane will not have this problem.

Energy 130

Energy Latency Performance Network 130

The Netflix TechBlog

FEBRUARY 25, 2021

In all these cases, prior to being delivered through our content delivery network Open Connect , our award-winning TV shows, movies and documentaries like The Crown need to be packaged to enable crucial features for our members. Figure 1?—?Simplified

Technology 181

Technology Technology Open Source Media 181

Dynatrace

SEPTEMBER 30, 2021

It requires purchasing, powering, and configuring physical hardware, training and retaining the staff capable of servicing and securing the machines, operating a data center, and so on. They need enough hardware to serve their anticipated volume and keep things running smoothly without buying too much or too little. Reduced cost.

Cloud 169

Cloud Traffic Best Practices Strategy 169

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

Scalegrid

JANUARY 5, 2024

Types of DBMS DBMS can be classified into hierarchical, network, relational, and object-oriented types. Additionally, it modernizes data architecture, moves data management to the cloud, and automates processes, collectively decreasing data management costs and enhancing the productivity of database administration teams.

Efficiency 147

Efficiency Storage Database Scalability 147

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.

Cache 251

Cache Latency Airlines Logistics 251

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

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. When available, it can use hardware level performance counters.

Big Data 45

Big Data Cloud Performance Hardware 45

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

High Scalability

NOVEMBER 14, 2018

New topics range from additional workloads like video streaming, machine learning, and public cloud to specialized silicon accelerators, storage and network building blocks, and a revised discussion of data center power and cooling, and uptime.

Design 54

Design Education Google Internet 54

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 56

Hardware Latency Virtualization Cloud 56

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. This strategy reduces the volume needed during retrieval operations.

Storage 130

Storage Systems Big Data Azure 130

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 110

Performance Latency Cache Virtualization 110

The Morning Paper

MARCH 8, 2020

When I think about cloud-native architectures, I think about disaggregation (enabling each resource type to scale independently), fine-grained units of resource allocation (enabling rapid response to changing workload demands, i.e. elasticity), and isolation (keeping tenants apart). From shared-nothing to disaggregation.

Storage 112

Storage Engineering Cache Serverless 112

All Things Distributed

AUGUST 16, 2012

An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. Total Cost of Ownership and the Return on Agility. By Werner Vogels on 16 August 2012 10:00 AM. Comments ().

AWS 118

AWS Hardware Traffic Best Practices 118

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 40

Hardware Latency Virtualization Cloud 40

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 119

Cloud AWS Automotive Latency 119

All Things Distributed

APRIL 5, 2012

From tax preparation to safe social networks, Amazon RDS brings new and innovative applications to the cloud. Intelligent Social network - Facilitate topical Q&A conversations among employees, customers and our most valued super contributors. Teachers can interact with their colleagues in professional learning networks.

Innovation 149

Innovation AWS Education Network 149

All Things Distributed

SEPTEMBER 6, 2013

In addition, its robust architecture supports ten times as many scientists, all working simultaneously. When Tom Tom launched the LBS platform they wanted the ability to reach millions of developers all around the world without having them invest a lot of capital upfront in hardware and building expensive data centers so turned to the cloud.

Cloud 130

Cloud Energy AWS Healthcare 130

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.

Tuning 52

Tuning Benchmarking Engineering C++ 52

CSS - Tricks

JULY 25, 2019

Lighthouse uses Chrome’s Remote Debugging Protocol to read network request information, measure JavaScript performance, observe accessibility standards and measure user-focused timing metrics like First Contentful Paint , Time to Interactive or Speed Index. In-depth manual profiling.

Google 71

Google Engineering Speed Mobile 71

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

Make sure your system can handle next-generation DRAM,” [link] , Nov 2011 [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] , Feb 2012 [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] , 2013 [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 52

Performance Latency Cache Virtualization 52

Abhishek Tiwari

JULY 12, 2018

A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. In some cases, this can be enhanced by combining data virtualization techniques with microservices architecture. A data pipeline can process data in a different order than they were received.

Latency 63

Latency Analytics Scalability Engineering 63

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 85

Database Hardware Open Source Strategy 85

Abhishek Tiwari

DECEMBER 27, 2017

optimised container networking and security. For instance, scatter/gather pattern can be used to implement a MapReduce like batch processing architecture on top of Kubernetes. Some of these challenges [6] includes, lack of smart schedulers for optimal resource utilization. distributed stateful data workloads (Zookeeper, Cassandra).

Big Data 63

Big Data Storage Benchmarking Hardware 63

The Morning Paper

NOVEMBER 10, 2019

Snap: a microkernel approach to host networking Marty et al., This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. Pony Express, as we saw earlier, is a ground-up implementation of networking primitives. SOSP’19. Emphasis mine). It reminds me of ZeroMQ.

Network 92

Network Transportation Latency Entertainment 92

Dynatrace

MAY 1, 2023

This operational data could be gathered from live running infrastructures using software agents, hypervisors, or network logs, for example. Additionally, ITOA gathers and processes information from applications, services, networks, operating systems, and cloud infrastructure hardware logs in real time.

Analytics 193

Analytics Artificial Intelligence Big Data Open Source 193

Adrian Cockcroft

DECEMBER 28, 2017

I wanted a system that still works manually and during network outages, and didn’t really want to have a separate hub to gateway the signal. noonhome.com Their over-all architecture is to manage one room at a time, using one special switch as a Noon Director and up to ten Noon Extension switches. The Noon switches only control lights.

IoT 40

IoT Hardware Energy Network 40

Dynatrace

JUNE 7, 2019

For detailed prerequisites, hardware requirements, and installation guidelines, see our help page for browser monitors in private locations. Q: Do I need a special network configuration, opening non-standard ports and/or whitelisting some addresses? A: It all depends on your internal network architecture.

Network 160

Network Monitoring Servers Hardware 160

Percona

AUGUST 22, 2023

We’ll also look at the differences, as it’s important to know what architecture(s) will help you best meet your unique requirements for maximizing data assets and achieving continuous uptime. Without enough infrastructure (physical or virtualized servers, networking, etc.), there cannot be high availability.

Availability 77

Availability Hardware Open Source Database 77

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

All Things Distributed

DECEMBER 20, 2017

We need mechanisms that enable the mass production of data using software and hardware capabilities. The main goal in all this is to have the possibility to quickly iterate experiments through the widest range of architectures, combine services with each other, and compare approaches.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79