All Things Distributed

SEPTEMBER 14, 2020

After years of optimizing traditional virtualization systems to the limit, we knew we had to make a dramatic change in the architecture if we were going to continue to increase performance and security for our customers.

Virtualization 87

Virtualization AWS Systems Innovation 87

DZone

AUGUST 13, 2020

The global gaming industry is expected to reach more than $300 billion by 2025 with the growth of revolutionary offerings, like cloud gaming and mobile gaming, according to a new report from GlobalData. Game testing is one of the crucial steps that help to ensure optimal performance and quality in the end product.

Games 306

Games Testing Hardware Virtualization 306

Dynatrace

JANUARY 16, 2023

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing.

Open Source 340

Open Source Java Operating System Programming 340

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.

Performance 140

Performance Latency Hardware Storage 140

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! Or even on a plane.

Performance 110

Performance Latency Cache Virtualization 110

Alex Podelko

OCTOBER 20, 2016

I am looking forward to share my thoughts on ‘Reinventing Performance Testing’ at the imPACt performance and capacity conference by CMG held on November 7-10, 2016 in La Jolla, CA. – Cloud. Cloud seriously impacts system architectures that has a lot of performance-related consequences. – Agile.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

HammerDB

APRIL 19, 2023

Predicting application performance is a difficult art, but an important one when choosing the target deployment environment. 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.

Performance 54

Performance Benchmarking Cache Storage 54

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

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. In both bands, performance characteristics remain consistent for the entire uptime of the JVM on the node, i.e. nodes never jumped the bands.

Hardware 363

Hardware Cache Performance Latency 363

Testsigma

JULY 3, 2021

If you’ve been performing on-premise testing in your organization, you know the rules already. 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. As the name suggests, it happens on-premise. Photo by freestocks on Unsplash.

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.

Performance 52

Performance Latency Hardware Storage 52

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

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. CXL-based disaggregated memory provides a new opportunity with two orders of magnitude better performance than RDMA (as illustrated in Figure 2).

Latency 52

Latency Hardware Cache Architecture 52

Adrian Cockcroft

JANUARY 17, 2022

There were five trends and topics for 2021, Serverless First, Chaos Engineering, Wardley Mapping, Huge Hardware, Sustainability. I’d even use it to manage datacenter failover or failover for other cloud vendors, as what you really need is a highly available control plane that is totally independent of your own failure modes.

Serverless 98

Serverless Hardware AWS Architecture 98

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. Acceleration—Adding hardware support to reduce the runtime overheads of security features. Also known as a “correct by construction” approach to security.

Hardware 98

Hardware Virtualization Architecture Games 98

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. TFLOPS deep learning performance, and is equipped with 32GB of high-bandwidth memory (HBM) capacity.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Dotcom-Montior

NOVEMBER 27, 2018

Your customers demand optimal performance, whether they’re the only user or one of a thousand. LoadView, our on-demand, cloud-based load and stress testing platform , takes an outside-in approach to performance testing. Identifying performance bottlenecks. LoadView – Best Practices and Process.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

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

HammerDB

OCTOBER 23, 2023

However, with more complex application logic this network round trip soon becomes a key focus area for improving performance. The data shows a scripted automated workload running a number of back to back tests each time with an increasing number of virtual users. performance advantage in favour of stored procedures and on MariaDB a 1.3X

Benchmarking 62

Benchmarking Database Network C++ 62

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

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 179

Infrastructure Cloud Azure AWS 179

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

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

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

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. ." But model inference migrating into the DBMS is a bolder prediction.

Government 95

Government Software Engineering Storage Database 95

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint. better.

C++ 40

C++ Benchmarking Virtualization Open Source 40

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. They maintain fault tolerance and redundancy by replicating this information throughout various nodes in the system.

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 242

Serverless Efficiency Lambda Azure 242

Alex Podelko

SEPTEMBER 8, 2020

Some time ago Federico Toledo published Performance Testing with Open Source Tools- Busting The Myths. How did you get into performance engineering? At first, we were using LoadRunner, but we quickly moved to Performance Center. After a year I was put in charge of the Performance Center platform (9.52

Open Source 223

Open Source Performance Testing Testing Performance 223

ACM Sigarch

FEBRUARY 23, 2018

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. The same myopic view clouds us as researchers.

Architecture 47

Architecture Cache Hardware Virtualization 47

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. overall performance comparable to bare metal. Performance. better cluster resource utilization.

Big Data 63

Big Data Storage Benchmarking Hardware 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

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

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