CSS - Tricks

JULY 25, 2019

Cache-Headers missing? Where possible, remove unused JavaScript code or focus on only delivering a script that will be run by the current page. This approach is known as code splitting and is extremely effective in improving TTI. Service workers that will cache the bytecode result of a parsed and compiled script.

Google 71

Google Engineering Speed Mobile 71

SQL Performance

MAY 22, 2019

It’s one of the things we look at during a health audit, and Kimberly has a great query from her Plan cache and optimizing for adhoc workloads post that’s part of our toolkit. About 1GB of the plan cache is for prepared and procedure plans, and they only take up about 300MB worth of space. DBCC FREEPROCCACHE ; GO. EXEC dbo. [

Cache 54

Cache Performance Hardware Servers 54

Brendan Gregg

MARCH 16, 2024

Apart from library code, maybe your application doesn't have frame pointers either, in which case everything is broken. Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway.

Java 145

Java Cache Google Hardware 145

ACM Sigarch

FEBRUARY 23, 2018

According to the article “ When Women Stopped Coding “, the percent of women in Computer Science 30 years ago was nearly twice what it is now. Hardware engineers design and implement solutions in RTL, while software engineers attempt to solve the problem either at the OS or application level.

Architecture 47

Architecture Cache Hardware Virtualization 47

KeyCDN

JANUARY 23, 2020

A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. Some APM solutions can monitor code during development to ensure performance. What is real user monitoring (RUM)? Usage performance.

Strategy 72

Strategy Metrics Monitoring Servers 72

Smashing Magazine

JUNE 18, 2020

More specifically, we’re going to talk about storage and UI differences, which are the ones that most often cause confusion to developers when writing Flutter code that they want to be cross-platform. Running Different Code On Different Platforms. In this article, we’re going to see some of those differences and how to overcome them.

Storage 93

Storage Mobile Website Java 93

Abhishek Tiwari

DECEMBER 13, 2017

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. They demonstrated that neural nets based learned index outperforms cache-optimized B-Tree index by up to 70% in speed while saving an order-of-magnitude in memory. Learned indexes.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

Smashing Magazine

JANUARY 15, 2019

how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. This represents a relatively meager saving, but by establishing a philosophy of pruning unwanted code and requests from our pages, we can make much more significant performance improvements.

Website Performance 73

Website Performance Website Energy Performance 73

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. Missing caching layers, e.g. provide a read-only cache for static data. Well – there are many answers to this.

Cache 198

Cache Architecture Database Government 198

Percona

AUGUST 8, 2023

Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. Global caches like the InnoDB buffer pool and MyISAM key cache and session-level caches like the sort buffer, join buffer, random read buffer, etc. Do these queries use more caches?

Traffic 90

Traffic Cache Monitoring Database 90

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. Using a low-code visual workflow approach, organizations can orchestrate key services, automate critical processes, and create new serverless applications.

Serverless 280

Serverless AWS Lambda Storage 280

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Before all was said and done, all of these people and more helped with various activities: · Eugene, Mike, Slava, Scott, Peter, Steve and others doing code reviews on my SQL Server and Host Extension changes. ·

Servers 90

Servers Media Cache Storage 90

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency. ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available. Cached vs Scaled Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

ACM Sigarch

OCTOBER 12, 2020

First, its origin was in a monoculture (the browser) wher e there was no need for compatibility with legacy code. Unfortunately, languages like Python have proven resistant to efficient implementation, partly because of their design, and partly because of limitations imposed by the need to interop with C code. MICRO 15 , Gope et al.,

C++ 108

C++ Benchmarking Hardware Architecture 108

Alex Russell

APRIL 29, 2021

After 20 years of neck-in-neck competition, often starting from common code lineages, there just isn't that much left to wring out of the system. Enable developers to compress data efficiently without downloading large amounts of code to the browser. is access to hardware devices. Compression Streams. Keyboard Lock API.

Media 145

Media Games Education Engineering 145

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. IPC) input and output channels.

Hardware 44

Hardware Cache Latency Speed 44

ACM Sigarch

JULY 17, 2023

An example of a specification is the correct operation of the hardware of a microprocessor. An example protection technique that can provide this capability is an Error Correcting Code (ECC). An SDC is the worst possible outcome of a fault, as it can have an arbitrary impact on the correctness of software running on the hardware.

Energy 52

Energy Hardware Best Practices Architecture 52

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

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

The Morning Paper

FEBRUARY 20, 2020

statement adds the source code for the model pipeline (Python in the example) to the database. A runtime code generator creates a SQL query incorporating all of these optimisations. For single or very small numbers of predictions, Raven is faster due to SQL Server’s caching. An INSERT INTO model. categorical encoding).

Processing 72

Processing Hardware Database Azure 72

John McCalpin

AUGUST 1, 2018

Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? Interacting components in the execution of an MPI job — a brief outline (from memory): The user source code, which contains an ordered set of calls to MPI routines.

Hardware 40

Hardware Transportation Performance Latency 40

The Morning Paper

DECEMBER 8, 2019

Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc. What about security?

Hardware 56

Hardware Programming Media Storage 56

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. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 111

Availability Database Open Source Hardware 111

Randon ASCII

FEBRUARY 25, 2018

In this particular investigation, which spanned twenty months, we suspected hardware failure, compiler bugs, linker bugs, and other possibilities. Jumping too quickly to blaming hardware or build tools is a classic mistake, but in this case the mistake was that we weren’t thinking big enough.

Programming 79

Programming Hardware Cache Code 79

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. An AWS Lambda function is a simpler option that you can use, as it only requires you to code the logic, set it, and forget it.

Database 167

Database Lambda AWS IoT 167

Highly Scalable

AUGUST 20, 2013

In many cases join is performed on a finite time window or other type of buffer e.g. LFU cache that contains most frequent tuples in the stream. If something goes wrong, one could need to rerun the system on the problematic data with better logging or with code alternations. Issue investigation could require ad hoc queries.

Big Data 154

Big Data Processing Lambda Database 154

The Morning Paper

APRIL 2, 2019

Root of trust (RoT) establishment on an untrusted system ensures that a system state comprises all and only content chosen by the user, and the user’s code begins execution in that state. In this context it means there are no external dependencies on e.g. secrets, trusted hardware modules, or special instructions (e.g. Implementation.

Software 40

Software Software Programming Hardware 40

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

Scalability 40

Scalability Cache Airlines Healthcare 40

SQL Server According to Bob

JUNE 3, 2016

My development collogues and I are starting a regular blog series, outlining the vast range of scalability improvements, allowing SQL Server 2016 to run across a wide array of hardware configurations, faster and better than previous releases of SQL Server. The following table is taken from an ASP.NET, session state cache, stress test.

Hardware 40

Hardware Software Engineering Transportation Scalability 40

John McCalpin

NOVEMBER 5, 2016

So consider the dense matrix multiplication operation C += A*B, where A, B, and C are dense square matrices of order N, and the matrix multiplication operation is equivalent to the pseudo-code: for (i=0; i<N; i++) { for (j=0; j<N; j++) { for (k=0; k<N; k++) { C[i][j] += A[i][k] * B[k][j]; } } }.

Cache 40

Cache C++ Latency Hardware 40

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.

Servers 40

Servers Cache Database Media 40

Alex Russell

OCTOBER 22, 2017

For this page to be done loading it needs to be responsive to user input — the “interactive” in “Time to Interactive” Browsers process user input by generating DOM events that application code listens to. The gzip compression factor for JS code is between 5x and 7x. Execute the script.

Performance 68

Performance Benchmarking Network Mobile 68

Randon ASCII

AUGUST 16, 2018

My VirtualScan program just called NtQueryVirtualMemory in the obvious loop to scan the address space of a specified process, the code worked, it took a really long time to scan the gmail process (10-15 seconds), and it triggered the hang. MiB, 32112, 98 code blocks. The CFG memory block is best thought of a cache with bounded size.

Programming 75

Programming Virtualization Code Processing 75