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., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! Hardware implications.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Scalegrid

DECEMBER 6, 2023

Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up. These databases require significant time commitment along with necessary technical skills plus hardware & software costs, all of which are without dedicated team assistance.

Database 130

Database Cloud Hardware Storage 130

DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 207

Java C++ Benchmarking Programming 207

Dynatrace

NOVEMBER 22, 2022

They also need a way to track all the services running on their distributed architectures, from multicloud environments to the edge. Traditionally, teams achieve this high level of uptime using a combination of high-capacity hardware, system redundancy, and failover models. What is always-on infrastructure?

Infrastructure 191

Infrastructure Availability Systems Retail 191

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. using Compute Express Link or CXL), organizing memory components for optimal performance, adapting system software traditionally designed for homogeneous memory systems, and developing memory abstractions and programming constructs for HCM management.

Latency 52

Latency Hardware Cache Architecture 52

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. I had a professor in grad school who used to joke that all architecture is reinvented every 5 years. However, a similar near term bias exists in academia. Discounting the Past.

Architecture 47

Architecture Cache Hardware Virtualization 47

Testsigma

FEBRUARY 6, 2020

According to IEEE Std 829-1998, Software Testing is defined as “the process of analyzing a software item to detect the differences between existing and required conditions (i.e. defects) and evaluating the features of the software items.” Testing Techniques. ” In Dynamic Testing, the code is executed.

Software 69

Software Software Testing Scalability 69

Dynatrace

APRIL 5, 2021

But with the benefits also come concerns about observability, and how to monitor and manage ever-expanding cloud software stacks. As a bonus, operations staff never needs to update operating systems or hardware, because AWS manages servers with no stoppage of application functionality. The Amazon Web Services ecosystem.

Lambda 186

Lambda AWS Serverless Hardware 186

Percona

DECEMBER 27, 2023

At Percona, we observe a growing trend among companies utilizing Kubernetes as a means to offer services to their teams, fostering expedited software delivery and driving business growth. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 80

Cloud Open Source Strategy Best Practices 80

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. There’s some work on hardware proposals for these systems, like Zhu et al., Despite their age, these languages are far from dead!

C++ 108

C++ Benchmarking Hardware Architecture 108

ACM Sigarch

OCTOBER 25, 2019

When it comes to hardware support to mitigate software security issues, there is a significant gap between what is available in products today and known solutions. A History of Architecture Support for Security. The figure above provides a timeline of architectural support for practical defenses, as found in commercial products.

Hardware 98

Hardware Virtualization Architecture Games 98

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc., Today, there are a variety of architectures and systems in use. Over time, that has evolved into something different. Three-Tier.

Systems 74

Systems Monitoring Hardware Network 74

Daniel Lemire

FEBRUARY 8, 2019

The division by a power of two ( / (2 N )) can be implemented as a right shift if we are working with unsigned integers, which compiles to single instruction: that is possible because the underlying hardware uses a base 2. Thus if 2 N / d has been precomputed, you can compute the division n/d as a multiplication and a shift. count5 + = 1 ; }.

C++ 279

C++ Benchmarking Hardware Testing 279

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. Capability integrity prevents direct in-memory manipulation of architectural capability encodings.

C++ 61

C++ Hardware Virtualization Benchmarking 61

The Netflix TechBlog

APRIL 17, 2019

It’s a nice building with good architecture! What does this example have to do with software development and video encoding? Intel and Netflix announced their collaboration on a software video encoder implementation called SVT-AV1 on April 8, 2019. Netflix headquarters circa 2014. New Netflix Buildings in Los Gatos.

Open Source 166

Open Source Scalability Speed Efficiency 166

Tech News Gather

AUGUST 25, 2022

The platform is based on a purpose-oriented programming language that is simple to learn. Unlike other programs, it is compatible with both iOS and Android. Because the development is built on a single codebase, it saves time when testing the program across many platforms. Hardware Costs. Conclusion.

Development 52

Development Hardware Mobile Open Source 52

Smashing Magazine

AUGUST 15, 2021

When people have an idea for a piece of software or an app, they tend to be pretty energized about getting it to market as quickly as possible. It’s exciting to create an app or piece of software no one’s ever imagined or built before. As software developers, we’re usually right there with them. Cache Merril.

Technology 139

Technology Technology Development Strategy 139

Percona

NOVEMBER 9, 2023

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. You may already be using it daily and find it makes running applications in the cloud much more manageable.

Efficiency 103

Efficiency Cloud Healthcare Open Source 103

Tech News Gather

JULY 19, 2023

Otherwise, you may not be able to locate enough appropriate hardware and end up having to often switch between different programs. Considerations for App Security while Programming a Smart Home Smart home software can’t be developed without first addressing security problems during flutter app development.

Wireless 52

Wireless IoT Development Internet 52

Sutter's Mill

NOVEMBER 11, 2023

Instead, you want a library that is tuned for your target hardware architecture and ready for par_unseq vectorized algorithms, for blazing speed. If you want to do efficient linear algebra, you don’t want to write your own code by hand; that would be slow. This is that library.

C++ 107

C++ Lambda Network Programming 107

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? MPI is a commonly used standard to implement message-passing programs on computer clusters. The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

Alex Russell

SEPTEMBER 20, 2020

Pre-publication gates were valuable when better answers weren't available, but commentators should update their priors to account for hardware and software progress of the past 13 years. Fast forward a decade, and both the software and hardware situations have changed dramatically.

Hardware 64

Hardware Mobile Programming Java 64

ACM Sigarch

AUGUST 20, 2018

In this post, I argue that software and data interoperability, a hallmark of the modern computer ecosystem, is at the core of several widespread security problems. An alternate approach is to tie data and potentially software to specific physical instances of a digital system. Interoperability.

Hardware 47

Hardware Operating System Architecture Software 47

Brendan Gregg

FEBRUARY 28, 2023

I'm now program co-chair for SREcon 2023 APAC, and our 2023 conference is June 14-16 in Singapore. And now, helping bring USENIX conferences to Australia by giving the first keynote: I could not have scripted or expected it. The call for participation ends on March 2nd 23:59 SGT!

Performance 110

Performance Latency Cache Virtualization 110

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

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. These are often referred to as profilers and are available for all types of programming languages. Basic server metrics.

Strategy 72

Strategy Metrics Monitoring Servers 72

All Things Distributed

SEPTEMBER 6, 2013

Unilever – Unilever R&D program intended to accelerate the company’s scientific progress through improved access to global information. It makes use of the Eagle Genomics platform running on AWS, resulting in that Unilever’s digital data program now processes genetic sequences twenty times faster—without incurring higher compute costs.

Cloud 129

Cloud Energy AWS Healthcare 129

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. Note that the class size is limited to about 100, so that I’ll be able to interact with most attendees directly.

Latency 51

Latency C++ Hardware Performance 51

Testsigma

JUNE 19, 2020

As Agile methodology was introduced, the need for fast and continuous delivery of software applications increased. testing and is integratable with multiple programming languages (i.e. Selenium is an open-source and free software 2. It supports multi programming languages like Python, Java, C# etc. Introduction.

Testing Tools 60

Testing Tools Testing Open Source Java 60

All Things Distributed

SEPTEMBER 4, 2017

This has allowed for more research, which has resulted in reaching the "critical mass" in knowledge that is needed to kick off an exponential growth in the development of new algorithms and architectures. For the past 20 years, thousands of software engineers at Amazon have been working on ML. Machine Leaning at Amazon.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

Brendan Gregg

FEBRUARY 28, 2023

I'm now program co-chair for SREcon 2023 APAC, and our 2023 conference is June 14-16 in Singapore. And now, helping bring USENIX conferences to Australia by giving the first keynote: I could not have scripted or expected it. It was a great privilege. The call for participation ends on March 2nd 23:59 SGT!

Performance 52

Performance Latency Cache Virtualization 52

Nick Desaulniers

APRIL 6, 2020

“War stories” in programming are entertaining tales of truly evil bugs that kept you up at night. halt (); Some sort of very early exception handler; better to sit busy in an infinite loop than run off and destroy hardware or corrupt data, I suppose. Recent work. halt_loop: while ( true ). or generic.

C++ 67

C++ Hardware Code Virtualization 67

The Netflix TechBlog

NOVEMBER 15, 2022

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” Every VFX studio has a slightly different architecture and workflow, and a one-size-fits-all solution often isn’t enough to bridge the gap.

Cloud 282

Cloud Entertainment AWS Infrastructure 282

SQL Server According to Bob

JANUARY 11, 2020

Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies. Mirroring can be implemented at a software or hardware level.

Servers 40

Servers Cache Media Hardware 40

ScaleOut Software

APRIL 22, 2020

Since almost all large web sites use server farms to handle growing workloads, it’s no surprise that server farms can also offer a powerful and cost-effective hardware platform for hosting a site’s fast-changing data. The post Use Distributed Caching to Accelerate Online Web Sites appeared first on ScaleOut Software.

Cache 52

Cache Storage Servers Database 52

Alex Russell

JANUARY 30, 2024

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. Meanwhile, budget segment devices have finally started to see improvement ( as this series predicted ), thanks to hand-me-down architecture and process node improvements.

Performance 90

Performance Network Mobile Speed 90

John McCalpin

JANUARY 22, 2018

Hardware performance counter results for a simple benchmark code calling Intel’s optimized DGEMM implementation for this processor (from the Intel MKL library) show that about 20% of the dynamic instruction count consists of instructions that are not packed SIMD operations (i.e., addl $1, %eax vfmadd213pd %zmm16, %zmm17, %zmm29.

Latency 40

Latency Hardware Code Testing 40