The Morning Paper

AUGUST 29, 2019

use the TPC-H benchmark to assess Redshift, Redshift Spectrum, Athena, Presto, Hive, and Vertica to find out what works best and the trade-offs involved. For those systems where you provide your own compute instances, the default configuration tested used a 4-node r4.8xlarge cluster with 10Gb/s networking. Key findings. Serverless o?erings

Architecture 76

Architecture Cloud Storage Serverless 76

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. The neural network (NN)-based agent uses a deep net with fully connected layers.

Testing 163

Testing AWS Lambda Network 163

Smashing Magazine

SEPTEMBER 28, 2022

The resource loading waterfall is a cascade of files downloaded from the network server to the client to load your website from start to finish. It essentially describes the lifetime of each file you download to load your page from the network. You can see this by opening your browser and looking in the Networking tab.

Performance 125

Performance Cache Servers Social Media 125

Abhishek Tiwari

DECEMBER 27, 2017

Over last few years, we have seen several attempts to run data workload in the containers especially distributed big data frameworks like Apache Hadoop, Apache Storm [3] , and Apache Spark [4] [5] without any software modifications. faster access to external storage and data locality (I/O, bandwidth). Storage provisioning.

Big Data 63

Big Data Storage Benchmarking Hardware 63

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle. Wednesday?—?December

AWS 37

AWS Entertainment Open Source Benchmarking 37

Scalegrid

JANUARY 12, 2024

This is sometimes referred to as using an “over-cloud” model that involves a centrally managed resource pool that spans all parts of a connected global network with internal connections between regional borders, such as two instances in IAD-ORD for NYC-JS webpage DNS routing. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Brendan Gregg

JUNE 30, 2018

These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Accurate benchmarking rewards engineering investment that actually improves performance, but, unfortunately, inaccurate benchmarking is more common. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?

Benchmarking 54

Benchmarking Latency Cache Network 54

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. Dynatrace news. Advanced customization of OneAgent deployments made easy.

Best Practices 193

Best Practices Storage Java Benchmarking 193

Percona

DECEMBER 26, 2023

This allows for much better data accuracy, especially in the case of high-resolution or unreliable networks. A script executing a benchmarking run: #!/bin/bash Multi-Dimensional Grouping : While pg_stat_statements groups counters by userid, dbid, queryid, pg_stat_monitor uses a more detailed group for higher precision.

Benchmarking 124

Benchmarking Metrics C++ Database 124

Brendan Gregg

JUNE 29, 2018

These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Accurate benchmarking rewards engineering investment that actually improves performance, but, unfortunately, inaccurate benchmarking is more common. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?

Benchmarking 40

Benchmarking Latency Cache Network 40

The Netflix TechBlog

SEPTEMBER 2, 2020

This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics). As you can imagine, this comes with very real storage costs. starting and finishing a method).

Latency 296

Latency Transportation Engineering Traffic 296

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 110

Availability Database Open Source Hardware 110

Percona

AUGUST 22, 2023

Without enough infrastructure (physical or virtualized servers, networking, etc.), Topology management — This is the software management related specifically to the database and managing its ability to stay consistent in the event of a failure. there cannot be high availability. Which option fits your budget?

Availability 80

Availability Hardware Open Source Database 80

Alex Russell

APRIL 29, 2021

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. Chrome has missed several APIs for 3+ years: Storage Access API. Gamepad API.

Media 145

Media Games Education Engineering 145

O'Reilly

JULY 25, 2023

I really wanted to go beyond these quick gut reactions that I’ve seen so much of online, so I tried using ChatGPT for a few weeks to help me implement a hobby software project and took notes on what I found interesting. or “ha look how incompetent it is … it couldn’t even get my simple question right!” using “22” for the year 2022).

Programming 98

Programming Code Design Benchmarking 98

ScaleOut Software

MAY 15, 2014

We have spent a great deal of time at ScaleOut Software re-architecting our in-memory data grid (IMDG)’s code base to make best use of many cores and large memory. For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Testing Scale-Up Performance.

Cache 40

Cache Servers Network Design 40

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. See the article for more details. SQL Server 7.0

Servers 40

Servers Cache Media Hardware 40

SQL Server According to Bob

JANUARY 11, 2020

url=/library/en-us/fileio/fs/sparse_files.asp ) ​​ on the ​​ Microsoft Developer Network ​​ (MSDN). Streams ​​ NTFS volumes ​​ enable ​​ data files to have one or more secondary storage streams.

Servers 40

Servers Cache Database Media 40

Scalegrid

JULY 13, 2020

Software Update License & Support (annual). $0. There is also a wide network of Oracle partners available to help you negotiate a discount , typically ranging from 15%-30%, though larger discounts of up to 40%-60% are available for larger accounts. pg_repack – reorganizes tables online to reclaim storage. Total Cost.

Open Source 244

Open Source Tuning C++ Database 244

Smashing Magazine

JANUARY 11, 2021

Networking, HTTP/2, HTTP/3 OCSP stapling, EV/DV certificates, packaging, IPv6, QUIC, HTTP/3. If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled 3G network (e.g. Moto G4) on a slow 3G network, emulated at 400ms RTT and 400kbps transfer speed. 300ms RTT, 1.6 Mbps down, 0.8

Performance 145

Performance Cache Media Metrics 145

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. 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.

Architecture 52

Architecture Cache Azure Storage 52

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