Abhishek Tiwari

DECEMBER 13, 2017

Can machine learning-based data structures i.e. learned data structures replace traditional data structures? The initial results show that learned data structures can outperform existing data structures. This has far-reaching implications how future data systems and algorithms will be designed. p = F(Key) ?

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

CSS - Tricks

JULY 25, 2019

In this article, we uncover how PageSpeed calculates it’s critical speed score. It’s no secret that speed has become a crucial factor in increasing revenue and lowering abandonment rates. Now that Google uses page speed as a ranking factor, many organizations have become laser-focused on performance. Cache-Headers missing?

Google 72

Google Engineering Speed Mobile 72

HammerDB

APRIL 19, 2023

GHz 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) Up to 20% higher compute performance than z1d instances Up to 50 Gbps of networking speed Up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (EBS) We can also verify these capabilities by running some simple benchmarks on the different subsystems.

Performance 54

Performance Benchmarking Cache Storage 54

n0derunner

DECEMBER 18, 2018

AES effectively provides Metadata Locality to complement the existing data locality that has always existed. a 10TB database with 20% hot data) we observe a 2X improvement in throughput for random access across the 2TB hot dataset. In our experiment we deliberately size the active working-set to NOT fit into the metadata cache.

Performance 40

Performance Cache Hardware Storage 40

Brendan Gregg

FEBRUARY 28, 2023

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 52

Performance Latency Cache Virtualization 52

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. Application performance.

Energy 130

Energy Latency Performance Network 130

Dotcom-Montior

JUNE 15, 2020

The censorship and monitoring of internet have evolved from anti-virus-like and firewall software to hardware security patches for all devices that uses internet. Data gathered overtime makes the Great Firewall more “intelligent” in replacing websites. All information typed by users are collected for future analysis.

Monitoring 52

Monitoring Performance Artificial Intelligence Internet 52

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

ScaleOut Software

APRIL 22, 2020

In this time of extremely high online usage, web sites and services have quickly become overloaded, clogged trying to manage high volumes of fast-changing data. Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

In this time of extremely high online usage, web sites and services have quickly become overloaded, clogged trying to manage high volumes of fast-changing data. Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

Percona

MARCH 23, 2023

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. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way.

Performance 127

Performance Hardware Tuning Storage 127

Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access.

Serverless 275

Serverless AWS Lambda Storage 275

Scalegrid

JUNE 14, 2024

In today’s data-driven world, organizations rely heavily on data analysis and visualization to make informed decisions and gain a competitive edge. It provides a user-friendly interface and a wide range of tools to transform raw data into meaningful insights. Why connect Power BI to a MySQL Database?

Azure 130

Azure Database Efficiency Analytics 130

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. We have several YouTube Tutorials and blog posts available that show how you can use Dynatrace RUM data for Web Performance & User Experience Optimization. Impressive results I have to say! Improve Above-the-fold User Experience with Dynatrace.

Cache 194

Cache Architecture Database Government 194

HammerDB

JUNE 27, 2022

This post is targeted towards the questions most often asked by non-technical management who want to get up to speed on what HammerDB is (what it isn’t) and how it can benefit their organization. It enables the user to measure database performance and make comparative judgements about database hardware and software.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

The Morning Paper

APRIL 14, 2019

The paper sets out what we can do in software given today’s hardware, and along the way also highlights areas where cooperation from hardware will be needed in the future. Microarchitectural channels. There are also stateless interconnects including buses and on-chip networks. Threat scenarios. The five requirements of Time Protection.

Hardware 44

Hardware Cache Latency Speed 44

ACM Sigarch

OCTOBER 12, 2020

An inte ger in Python consumes 24 bytes instead of 4 bytes (because every object carries around type information, reference counts, and more), while the overhead for data structures like lists or dictionaries can be 4x that of their C++ counterparts. Are caches large enough for this code? Consider Python. . As Leiserson et al.

C++ 108

C++ Benchmarking Hardware Architecture 108

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. DynamoDB Streams enables your application to get real-time notifications of your tables’ item-level changes. DynamoDB Streams.

Database 167

Database Lambda AWS IoT 167

SQL Performance

APRIL 27, 2020

Many of the newer features we have in SQL Server were initially launched in Azure SQL Database, including (but not limited to) Always Encrypted, Dynamic Data Masking, Row Level Security, and Query Store. Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. DTU Pricing Tier. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

SQL Server According to Bob

JANUARY 11, 2020

To ensure data integrity for our customers who are running SQL Server, it is important that I/O environments provide appropriate functionality. Atomicity A transaction must be an atomic unit of work; either all of its data modifications are performed or none of them are performed.

Servers 40

Servers Cache Media Hardware 40

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. There are several emerging data trends that will define the future of ETL in 2018. A common theme across all these trends is to remove the complexity by simplifying data management as a whole.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

The Morning Paper

FEBRUARY 20, 2020

Given the desire to keep enterprise data within the database, and to treat models as data also, the question is can we do inference in the database with acceptable performance? A cross-optimiser then looks for opportunities to optimise the data operator parts of the query given the ML model, and vice-versa (e.g., pruning).

Processing 72

Processing Hardware Database Azure 72

KeyCDN

JULY 11, 2019

This is crucial due to mobile devices requiring additional optimizations because they typically have less powerful hardware and a slower network connection when compared to desktop devices. For example, while the average mobile download speed on 4G in Switzerland is fast at 35.2 Mbps ( Opensignal ). For example, the query string ?width=600&quality=70

Speed 52

Speed Website Mobile Latency 52

The Morning Paper

SEPTEMBER 19, 2019

Their dataset has about 7B edges… Meanwhile, AnalyticDB is Alibaba’s real-time OLAP RDBMS handling 10PB of data (in excess of 100 trillion rows!). Could it be Analyzing efficient stream processing on modern hardware ? Some cool algorithms: Pigeonring speeds up thresholded similarity searches. Do we want that? Yes please!

Blockchain 46

Blockchain Hardware Google Speed 46

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 46

Latency C++ Hardware Performance 46

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. In 2016, Jio swept over the subcontinent like a monsoon dropping a torrent of 4G infrastructure and free data rather than rain. Hardware Past As Performance Prologue. The Moto G4 , for example.

Performance 127

Performance Network Metrics Cache 127

Smashing Magazine

AUGUST 22, 2021

A Primer on Speed. Discussing performance and “speed” can quickly get complex, because many underlying aspects contribute to a web-page loading “slowly”. It is physically limited by the speed of light or, practically, how fast signals can travel in wires or in the open air. Did You Know?

Performance 107

Performance Network Latency Servers 107

SQL Performance

JUNE 21, 2019

Data loss can be detrimental to an organization. Working with and having to tell customers that they've lost data is never fun or easy. Without regularly checking for corruption, customers can find themselves in a bad place by not having backups in order to recover when that corruption affects the physical data.

Servers 49

Servers Azure Hardware Database 49

SQL Server According to Bob

JANUARY 11, 2020

If ​​ it is ​​ not, ​​ the ​​ data ​​ is considered ​​ to be ​​ changed ​​ or ​​ damaged. In ​​ other words, ​​ a formula is applied ​​ to a given set of bytes.

Servers 40

Servers Cache Database Media 40

SQL Performance

JULY 16, 2019

A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. This made it easier for database professionals to make the case for a hardware upgrade, and made the typical upgrade more worthwhile.

Servers 46

Servers Hardware Architecture Retail 46

John McCalpin

NOVEMBER 5, 2016

Optimization requires vectorization and data re-use. The number of times that a data item loaded into a register can be re-used also depends on the unrolling factors. The core does not have enough load bandwidth to perform all of these extra load operations at full speed. Shouldn’t this fix the problem?

Cache 40

Cache C++ Latency Hardware 40

Alex Russell

OCTOBER 22, 2017

This rework delays launch which, in turn, delays gathering data about the viability of a PWA strategy. JavaScript is the single most expensive part of any page in ways that are a function of both network capacity and device speed. Given the conflicted data we see across our other systems, this seems about right as a baseline.

Performance 72

Performance Benchmarking Network Mobile 72

The Morning Paper

SEPTEMBER 12, 2019

To make that vision of a one-stop shop for all of an organisation’s data needs come true, we need to be able to handle the most demanding large scale machine learning tasks – those requiring distributed learning. Except there’s one glaring omission from that list: handling all of the machine learning use cases.

Network 44

Network Database Programming Hardware 44

SQL Performance

MARCH 8, 2021

The query runs for 2,523ms with 2,522ms CPU time used, when all data needed is already in the buffer pool. SQL Server uses the high-precision QueryPerformanceCounter API to capture timing data. Total elapsed time is 933ms with 6,673ms of CPU time with a warm cache. The clock keeps running at the same rate even during sleep.

Servers 95

Servers Tuning Architecture Performance 95

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. ATC ’19 was refreshingly different. Heterogeneous ISA.

Architecture 12

Architecture Hardware Cache Storage 12

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. Data from CrUX.

Performance 145

Performance Cache Mobile Network 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. It will help you build up a company-tailored case study with real data.

Performance 145

Performance Cache Media Metrics 145