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

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

Abhishek Tiwari

DECEMBER 13, 2017

Apart from indexes, super efficient sorting and join operations are some major areas come to my mind with immediate benefits of using learned data structure. More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. Learned indexes.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

Smashing Magazine

JANUARY 15, 2019

This includes the work done by the server, the client and the intermediary communications networks that transmit data between the two. how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. Reduce Network Requests. Large preview ).

Website Performance 73

Website Performance Website Energy Performance 73

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

ACM Sigarch

NOVEMBER 4, 2019

Krste Asanovic from UC Berkeley kicked off the main program sharing his experience on “ Rejuvenating Computer Architecture Research with Open-Source Hardware ”. He ended the keynote with a call to action for open hardware and tools to start the next wave of computing innovation. This year’s MICRO had three inspiring keynote talks.

Hardware 18

Hardware Architecture Programming Innovation 18

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. Too many fine-grained services leading to network and communication overhead. N+1 Query Pattern. Infrastructure Optimization.

Cache 197

Cache Architecture Database Government 197

Highly Scalable

AUGUST 20, 2013

The engine should be compact and efficient, so one can deploy it in multiple datacenters on small clusters. In the previous section, we noted that many distributed query processing algorithms resemble message passing networks. Efficient lineage tracking is not a trivial problem. High performance and mobility. Pipelining.

Big Data 154

Big Data Processing Lambda Database 154

The Morning Paper

JUNE 25, 2019

There’s another emerging option that we didn’t talk about there: the use of far-memory , memory attached to the network that can be remotely accessed without mediation by a local processor. Processor caches can help to hide local accesses too, but not remote accesses. Clients cache the entire tree, but not the hash tables.

Design 80

Design Cache Hardware Scalability 80

Alex Russell

APRIL 29, 2021

Real-time network protocols for enabling videoconferencing, desktop sharing, and game streaming applications. Modern, asynchronous network APIs that dramatically improve performance in some situations. These TransformStream types help applications efficiently deal with large amounts of binary data. Delayed five years.

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. Without enough infrastructure (physical or virtualized servers, networking, etc.),

Availability 111

Availability Database Open Source Hardware 111

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

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

The Morning Paper

SEPTEMBER 19, 2019

Could it be Analyzing efficient stream processing on modern hardware ? I don’t think so in this case, but this paper will take you down into the nitty-gritty of getting the best out of modern processors and networks, with up to two orders of magnitude single node throughput gains to be had. What’s their secret???

Blockchain 46

Blockchain Hardware Google Analytics 46

Highly Scalable

APRIL 2, 2012

Categories can contain thousands of products and user cannot efficiently search though this array without powerful tools. The rationale behind these methods is that frontend should be able to fetch transient information very efficiently and separately from fetching of heavy-weight domain entities because this information cannot be cached.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

Percona

APRIL 17, 2023

Make sure the drives are mounted with noatime and also if the drives are behind a RAID controller with appropriate battery-backed cache. MongoDB security: Monitor MongoDB performance regularly As with any database, it’s essential to monitor MongoDB performance to ensure it’s running with optimal efficiency and effectiveness.

Best Practices 52

Best Practices Design Tuning Database 52

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

AUGUST 22, 2021

As we will see, QUIC and HTTP/3 indeed have great web performance potential, but mainly for users on slow networks. If your average visitor is on a fast cabled or cellular network, they probably won’t benefit from the new protocols all that much. An often used metaphor is that of a pipe used to transport water. Congestion Control.

Performance 106

Performance Network Latency Servers 106

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Isolated parts of the database can serve read/write requests in case of network partition.

Database 213

Database Latency C++ Scalability 213

Abhishek Tiwari

DECEMBER 27, 2017

It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake. Apache Arrow's in-memory columnar layout is specifically optimized for data locality for better performance on modern hardware like CPUs and GPUs.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Alex Russell

OCTOBER 22, 2017

We constrain ourselves to a real-world baseline device + network configuration to measure progress. Budgets are scaled to a benchmark network & device. JavaScript is the single most expensive part of any page in ways that are a function of both network capacity and device speed. The median user is on a slow network.

Performance 68

Performance Benchmarking Network Mobile 68

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

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. aspx ) and ​​ Sparse Files ​​ ( [link] f ault.asp?url=/library/en-us/fileio/fs/sparse_files.asp

Servers 40

Servers Cache Database Media 40

KeyCDN

JULY 11, 2019

When it comes to optimizing your website, images are generally the most important asset you should spend time on figuring out how to reduce in size and deliver in a more efficient way. Image Processing Service We offer an image processing service that is fully integrated into our existing network. Mbps ( Opensignal ).

Speed 52

Speed Website Mobile Latency 52

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. GAIA proposed to expand the OS page cache into accelerator memory. Heterogeneous ISA. Programmable I/O Devices.

Architecture 12

Architecture Hardware Cache Storage 12

Smashing Magazine

APRIL 29, 2021

Use srcset + efficient modern image formats. Lazy-load offscreen images (reduce network contention for key resources). For low impact to First Input Delay : Avoid images causing network contention with other critical resources like CSS and JS. Avoid wasting pixels (compress, don’t serve overly high DPR images). Large preview ).

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. Moto G4) on a slow 3G network, emulated at 400ms RTT and 400kbps transfer speed.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled 3G network (e.g. To make the performance impact more visible, you could even introduce 2G Tuesdays or set up a throttled 3G/4G network in your office for faster testing. 300ms RTT, 1.6 Mbps down, 0.8

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled network (e.g. To make the performance impact more visible, you could even introduce 2G Tuesdays or set up a throttled 3G network in your office for faster testing. 150ms RTT, 1.5 Mbps down, 0.7 Mbps up) with a throttled CPU (5× slowdown).

Performance 104

Performance Cache Metrics Network 104

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching.

Architecture 52

Architecture Cache Azure Storage 52