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

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. Such a combination requires new abstractions and programming models for effective management.

Latency 52

Latency Hardware Cache Architecture 52

Testsigma

JUNE 3, 2021

These software errors are usually uncovered during functionality testing, mostly can be present as: Difficult/ confusing functionality: If the user is unable to understand or perform a function on the application, then it should change. Hardware error. We focus on software so much that we forget about the hardware failures.

Software 82

Software Software Testing Hardware 82

John McCalpin

SEPTEMBER 17, 2018

Most Intel microprocessors support “HyperThreading” (Intel’s trademark for their implementation of “simultaneous multithreading”) — which allows the hardware to support (typically) two “Logical Processors” for each physical core. leaving half of the Logical Processors idle).

Hardware 40

Hardware Performance Cache Programming 40

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

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person!

Performance 52

Performance Latency Cache Virtualization 52

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here. What is HammerDB? Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

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? If I am analyzing (apparent) performance shortfalls, how can I distinguish between cause and effect ? The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

Scalegrid

APRIL 16, 2020

This is why our BYOC pricing is less than our Dedicated Hosting pricing, as the costs listed for BYOC are only what you pay for ScaleGrid and don’t include your hardware costs. While this is a good way to get a rough estimate, your monthly cloud costs will indeed vary based on the amount of backups performed and your data transfer activity.

Cloud 242

Cloud Azure AWS Database 242

ACM Sigarch

OCTOBER 12, 2020

The focus of most published research in architecture is on applications implemented in high-performance, “ close-to-the-metal” languages essentially developed before computers got fast. The current state-of-the-art Python compiler, pypy , often yields around a 2x improvement in performance (and sometimes less).

C++ 108

C++ Benchmarking Hardware Architecture 108

Sutter's Mill

FEBRUARY 13, 2017

Tue-Thu Apr 25-27: High-Performance and Low-Latency C++ (Stockholm). On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.” Description.

Latency 51

Latency C++ Hardware Performance 51

The Morning Paper

DECEMBER 8, 2019

At the start of November I was privileged to attend HPTS (the High Performance Transaction Systems) conference in Asilomar. On the last morning of the conference Daniel Bittman presented some of the work being done in the context of the Twizzler OS project to explore new programming models for NVM. The Twizzler programming model.

Hardware 56

Hardware Programming Media Storage 56

Brendan Gregg

AUGUST 18, 2019

bpftrace is a new open source tracer for Linux for analyzing production performance problems and troubleshooting software. Linux already has many performance tools, but these are often counter-based and have limited visibility. The probe is BEGIN , a special probe that runs at the beginning of the program (like awk).

Latency 68

Latency C++ Cache Programming 68

The Morning Paper

FEBRUARY 20, 2020

The motivation is not that inference will perform better inside the database, but that the database is the best place to take advantage of enterprise features (transactions, security, auditing, HA, and so on). Unlike SQL queries which are declarative, such models are expressed as imperative programs heavily dependent on libraries.

Processing 72

Processing Hardware Database Azure 72

Alex Russell

APRIL 29, 2021

Classics of the genre include: Apple's just focused on performance! The Performance Argument. 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. Web Performance APIs.

Media 145

Media Games Education Engineering 145

SQL Server According to Bob

DECEMBER 18, 2018

Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Performance points of reference: The following charts highlight the increase in performance. The Back Story.

Servers 90

Servers Media Cache Storage 90

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. DynamoDB Streams simplifies and improves this design pattern with a distributed systems approach.

Database 167

Database Lambda AWS IoT 167

SQL Server According to Bob

JANUARY 11, 2020

This will help you increase system performance and avoid I/O environment errors. Atomicity A transaction must be an atomic unit of work; either all of its data modifications are performed or none of them are performed. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 40

KeyCDN

JANUARY 23, 2020

These acronyms, which stand for real user monitoring and application performance monitoring, are software monitoring processes essential to measuring and evaluating applications in many different areas. RUM gathers data from real life users to analyze application performance. What is application performance monitoring (APM)?

Strategy 72

Strategy Metrics Monitoring Servers 72

ACM Sigarch

FEBRUARY 23, 2018

It is much more difficult to publish truly risky, revolutionary research due to implicit filters in what gets funded and what makes it past a program committee. Hardware engineers design and implement solutions in RTL, while software engineers attempt to solve the problem either at the OS or application level. Discounting the Past.

Architecture 47

Architecture Cache Hardware Virtualization 47

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. failure rate.

Programming 79

Programming Hardware Cache Code 79

The Morning Paper

APRIL 2, 2019

In this context it means there are no external dependencies on e.g. secrets, trusted hardware modules, or special instructions (e.g. known good state of a trustworthy program). Then the verifier selects a random nonce and sends it to the system with a challenge to perform a (very!) of the paper have the desired property.

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

Randon ASCII

AUGUST 16, 2018

I have trouble resisting a good performance mystery but in this case the draw was particularly strong. I work at Google, making Chrome, for Windows, focused on performance. I loaded it into Windows Performance Analyzer (WPA), but I couldn’t definitively find the hang. Well that’s funny …. The problem suddenly became clearer.

Programming 75

Programming Virtualization Code Processing 75

John McCalpin

NOVEMBER 5, 2016

In recent years the trend has been to increase core-level performance by the use of SIMD vector instructions, and to increase package-level performance by the addition of more and more cores. The core does not have enough load bandwidth to perform all of these extra load operations at full speed.

Cache 40

Cache C++ Latency Hardware 40

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. Conference.

Hardware 18

Hardware Architecture Programming Innovation 18

SQL Server According to Bob

JANUARY 11, 2020

​​ With new ​​ innovations ​​ come ​​ new terms, designs, ​​ and ​​ algorithms. The ​​ SQL Server 2000 I/O Basics ​​ document is a prerequisite to ​​ the information contained in this ​​ document.

Servers 40

Servers Cache Database Media 40

High Scalability

NOVEMBER 25, 2019

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. We use different types of caching techniques depending on the problem statements. Disk based caching. Hybrid Sync. On prem data processing. Offline access.

Architecture 52

Architecture Cache Azure Storage 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.

Architecture 12

Architecture Hardware Cache Storage 12

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. Clearly the chosen decomposition can have a big impact on the resulting query performance. Be careful what you ask for (materialize).

Network 44

Network Database Programming Hardware 44

Smashing Magazine

AUGUST 15, 2021

Cache Merril. Companies can use technology roadmaps to review their internal IT , DevOps, infrastructure, architecture, software, internal system, and hardware procurement policies and procedures with innovation and efficiency in mind. What are the targets, timelines, and accountabilities for individual projects and programs?

Technology 139

Technology Technology Development Strategy 139