Testsigma

JULY 3, 2021

But for the uninitiated, on-premise testing is a form of testing where testers perform tests on local machines, systems, or devices set up at an office. More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. As the name suggests, it happens on-premise.

Cloud 57

Cloud Testing Storage DevOps 57

Brendan Gregg

JULY 4, 2021

It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. Ford, et al., “TCP

Performance 140

Performance Latency Hardware Storage 140

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

Adrian Cockcroft

JANUARY 17, 2022

There were five trends and topics for 2021, Serverless First, Chaos Engineering, Wardley Mapping, Huge Hardware, Sustainability. The need for systems to be resilient is still increasing, and chaos engineering tools and techniques are developing as a key way to validate that resilience is working as designed.

Serverless 98

Serverless Hardware AWS Architecture 98

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. 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. The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

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. Attestation—Providing systems the means to attest or verify the integrity of their components. . A History of Architecture Support for Security.

Hardware 98

Hardware Virtualization Architecture Games 98

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. The next layer is operating system platforms, what flavor of Linux, what version of Windows etc.

Engineering 137

Engineering Serverless Lambda AWS 137

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Alex Podelko

OCTOBER 20, 2016

– Cloud. Cloud seriously impacts system architectures that has a lot of performance-related consequences. First, we have a shift to centrally managed systems. Software as a Service’ (SaaS) basically are centrally managed systems with multiple tenants/instances. – Agile. – Continuous Integration.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

DZone

JULY 19, 2023

To address this need, the integration of cloud computing and virtualization has emerged as a groundbreaking solution as these technologies boast scalability and flexibility, entirely transforming the operational landscape. Enel migrated its legacy IT systems to a hybrid cloud model. billion by 2025.

Virtualization 130

Virtualization Scalability Energy Cloud 130

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

ACM Sigarch

APRIL 26, 2018

EPU: Emotion Processing Unit is designed by Emoshape , as the MCU microchip design to enable a true emotional response in AI, robots and consumer electronic devices as a result of a virtually unlimited cognitive process. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. The new GV100 packs 7.4

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error.

Performance 54

Performance Benchmarking Cache Storage 54

The Netflix TechBlog

NOVEMBER 9, 2022

While we understand it’s virtually impossible to achieve a linear increase in throughput as the number of vCPUs grow, a near-linear increase is attainable. a contiguous chunk of data (typically 64 bytes on x86 systems) transferred to and from the cache. to a larger AWS instance size, from m5.4xl (16 vCPUs) to m5.12xl (48 vCPUs).

Hardware 363

Hardware Cache Performance Latency 363

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

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

JULY 4, 2021

It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. Ford, et al., “TCP

Performance 52

Performance Latency Hardware Storage 52

O'Reilly

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. Our audience is particularly strong in the software (20% of respondents), computer hardware (4%), and computer security (2%) industries—over 25% of the total. Salaries were lower regardless of education or job title.

Azure 145

Azure Social Media Programming AWS 145

HammerDB

OCTOBER 23, 2023

Stored Procedures and Client SQL comparison To test the stored procedures and client implementations, we ran both workloads against a system equipped with Intel Xeon 8280L. The data shows a scripted automated workload running a number of back to back tests each time with an increasing number of virtual users. On MySQL, we saw a 1.5X

Benchmarking 62

Benchmarking Database Network C++ 62

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

All Things Distributed

JANUARY 23, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? By Werner Vogels on 23 January 2012 12:01 AM. Comments ().

Storage 115

Storage AWS Virtualization Cloud 115

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. When code isn’t in use, the cloud providers typically throttle it all the way down.

Serverless 57

Serverless Monitoring Lambda Latency 57

The Morning Paper

FEBRUARY 18, 2020

ML learning systems combine the characteristics of software, e.g. the need for CI/CD pipelines, and of data, e.g. the need to track lineage. Compared to web-scale platform use of ML, enterprise applications tend to be built by smaller teams with deeper domain expertise, but less deep algorithmic or systems expertise. Three big bets.

Government 95

Government Software Engineering Storage Database 95

Adrian Cockcroft

JUNE 21, 2022

Photo by Adrian I spent six years at Cambridge Consultants, building some interesting systems, managing our Sun workstations and learning a lot, but by then Sun had opened a sales office across the street, and I wanted to find out what they were going to release next, before everyone else. as a result there were product and messaging changes.

Tuning 52

Tuning Benchmarking Engineering C++ 52

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

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 181

Infrastructure Cloud Azure AWS 181

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

Dotcom-Montior

NOVEMBER 27, 2018

Additionally, end users can access your site or applications from anywhere in the world using different browsers, operating systems, and mobile devices, all with varying connection speeds. LoadView, our on-demand, cloud-based load and stress testing platform , takes an outside-in approach to performance testing.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

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

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. Even with superior I/O performance today the I/O configuration required on-premise or in the cloud remains costly. I.e. if system A generated 1.5X This was both expensive and time consuming to configure.

C++ 40

C++ Benchmarking Virtualization Open Source 40

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

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

Dynatrace

NOVEMBER 3, 2022

Container as a service is a cloud-based service that allows companies to manage and deploy containers at scale. Container environments enable enterprises to quickly deploy and develop cloud-native applications that can run anywhere. This, in turn, drove the creation of cloud-based services that further automated this function.

Serverless 217

Serverless Azure Hardware Transportation 217

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. In a nutshell, a data pipeline is a distributed system. A data pipeline is a software which runs on hardware.

Latency 63

Latency Analytics Scalability Engineering 63

The Morning Paper

MARCH 1, 2020

Firecracker is the virtual machine monitor (VMM) that powers AWS Lambda and AWS Fargate, and has been used in production at AWS since 2018. The traditional view is that there is a choice between virtualization with strong security and high overhead, and container technologies with weaker security and minimal overhead.

Serverless 101

Serverless Virtualization Lambda AWS 101

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

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