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

ACM Sigarch

FEBRUARY 23, 2018

I had a professor in grad school who used to joke that all architecture is reinvented every 5 years. Virtualization, for instance, was being addressed by IBM in the 1960s. Both virtualization and power burst onto the architecture community seemingly out of nowhere even though there was a clear historical basis and trend for both.

Architecture 47

Architecture Cache Hardware Virtualization 47

Adrian Cockcroft

FEBRUARY 9, 2023

We used this model effectively at Netflix when I was their cloud architect from 2010 through 2013. The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. Netflix made many contributions to open source projects by it’s cloud platform team.

Engineering 137

Engineering Serverless Lambda AWS 137

Brendan Gregg

FEBRUARY 28, 2023

TCP Extensions for Multipath Operation with Multiple Addresses,” [link] Mar 2020 - [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 - [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0 Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

ACM Sigarch

APRIL 26, 2018

APU: Accelerated Processing Unit is the AMD’s Fusion architecture that integrates both CPU and GPU on the same die. They introduced the architecture of coarse grain reconfigurable array (CGRA) for statically scheduled data flow computing in HOTCHIPS’17 and its software stack of compiler and linker in ICCAD’17. TFLOPS FP-64, 14.8

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

The Morning Paper

MARCH 8, 2020

This paper describes the design decisions behind the Snowflake cloud-based data warehouse. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) From shared-nothing to disaggregation. Workload characteristics.

Storage 112

Storage Engineering Cache Serverless 112

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 56

Hardware Latency Virtualization Cloud 56

Brendan Gregg

FEBRUARY 28, 2023

TCP Extensions for Multipath Operation with Multiple Addresses,” [link] , Mar 2020 [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0 Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. In serverless architecture, when applications are developed, they are typically composed of many different services. Other benefits to serverless architecture include the following: Cost. Response Times.

Serverless 57

Serverless Monitoring Lambda Latency 57

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 40

Hardware Latency Virtualization Cloud 40

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?

Infrastructure 180

Infrastructure Cloud Azure AWS 180

The Morning Paper

FEBRUARY 18, 2020

Providing complete and usable third-party solutions is non-trivial (otherwise the cloud vendors would already have done it). " Training in the cloud and the need for much better governance are both pretty uncontroversial directions. ." Flock is Microsoft’s reference architecture built to explore these ideas.

Government 95

Government Software Engineering Storage Database 95

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. At Netflix, we've been using these technologies as they've been made available for instance types in the AWS EC2 cloud. I'd expect between 0.1%

Virtualization 111

Virtualization AWS Hardware Storage 111

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. This helps developers decide when to increase server disk space and power or whether or not using a virtual cloud server is optimal.

Strategy 72

Strategy Metrics Monitoring Servers 72

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This strategy reduces the volume needed during retrieval operations.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

Serverless 243

Serverless Efficiency Lambda Azure 243

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Breuninger, a fashion department store chain steeped in tradition, has recognized this and relies on a self-developed e-commerce platform in the AWS Cloud.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 249

Development Serverless Best Practices Lambda 249

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. portability between cloud and on-premises. In fact, if we go by current trends containerised microservices running on Kubernetes are the future.

Big Data 63

Big Data Storage Benchmarking Hardware 63

All Things Distributed

SEPTEMBER 4, 2017

Both concepts are virtually omnipresent and at the top of most buzzword rankings. Secondly, there is enough affordable computing capacity in the cloud for companies and organizations, no matter what their size, to use intelligent applications. In the case of artificial intelligence (AI) and machine learning (ML), this is different.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

Percona

AUGUST 22, 2023

We’ll also look at the differences, as it’s important to know what architecture(s) will help you best meet your unique requirements for maximizing data assets and achieving continuous uptime. Without enough infrastructure (physical or virtualized servers, networking, etc.), there cannot be high availability.

Availability 82

Availability Hardware Open Source Database 82

Brendan Gregg

NOVEMBER 28, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. At Netflix, we've been using these technologies as they've been made available for instance types in the AWS EC2 cloud. I'd expect between 0.1%

Virtualization 40

Virtualization AWS Hardware Storage 40

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. Components of high availability infrastructure Multiple copies of data Data redundancy helps prevent data loss due to hardware or software failures. Redundancy is also critical for disaster recovery.

Availability 111

Availability Database Open Source Hardware 111

All Things Distributed

MARCH 11, 2016

The expectation was that with each order or two of magnitude, we would need to revisit and revise the architecture to make sure we could address the issues of scale. We needed to build such an architecture that we could introduce new software components without taking the service down. Primitives not frameworks.

AWS 144

AWS Hardware Retail Virtualization 144

Testsigma

FEBRUARY 5, 2021

Once you have chosen your target devices, consider the architectural aspect of your hardware. New devices will launch more rigorously in the near future and you would always find yourself struggling to keep your hardware up to the minute. Why Does Cloud Testing Make Sense? Get Your Own (Cloud) Mobile Testing Lab Today.

Mobile 52

Mobile Testing Hardware DevOps 52

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. Multi-Tier.

Systems 74

Systems Monitoring Hardware Network 74

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. “ Preventing side-channel attacks between VMs hosted on public cloud infrastructure. Microarchitectural channels. Threat scenarios.

Hardware 44

Hardware Cache Latency Speed 44

Percona

SEPTEMBER 1, 2023

Vertical scaling is also often discussed, which involves increasing the resources of a single server, which can have limitations in hardware capabilities and become costly as demands grow. The sharding architecture consists of several components: Shard Servers : Shard servers are individual nodes within the sharded cluster.

Best Practices 75

Best Practices Traffic Database Servers 75

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

All Things Distributed

JANUARY 18, 2012

DynamoDB is the result of 15 years of learning in the areas of large scale non-relational databases and cloud services. With Amazon DynamoDB, developers scaling cloud-based applications can start small with just the capacity they need and then increase the request capacity of a given table as their app grows in popularity.

Scalability 167

Scalability Database Ecommerce Latency 167

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. As a consequence, the vast majority of the papers in the past has usually focused on conventional X86 or GPU-accelerated architectures.

Architecture 12

Architecture Hardware Cache Storage 12

Smashing Magazine

JANUARY 11, 2021

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. Still, after all these years, keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet.

Performance 145

Performance Cache Media Metrics 145