All Things Distributed

SEPTEMBER 6, 2013

This spring I travelled through Europe for the AWS Global Summit series. Europe is a continent with much diversity and for each country there are great AWS customer examples to tell. To reach those goals, Shell in 2010 began using AWS. Shell leverages AWS for big data analytics to help achieve these goals.

Cloud 129

Cloud Energy AWS Healthcare 129

All Things Distributed

APRIL 5, 2012

From tax preparation to safe social networks, Amazon RDS brings new and innovative applications to the cloud. Empowering innovation is at the heart of everything we do at Amazon Web Services (AWS). Intelligent Social network - Facilitate topical Q&A conversations among employees, customers and our most valued super contributors.

Innovation 146

Innovation AWS Education Network 146

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 110

Performance Latency Cache Virtualization 110

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 118

Cloud AWS Automotive Latency 118

The Morning Paper

MARCH 8, 2020

When I think about cloud-native architectures, I think about disaggregation (enabling each resource type to scale independently), fine-grained units of resource allocation (enabling rapid response to changing workload demands, i.e. elasticity), and isolation (keeping tenants apart). S3 on AWS). From shared-nothing to disaggregation.

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

Adrian Cockcroft

JUNE 21, 2022

The early days at Sun Cambridge were special, I absorbed a lot about networking and the technical side of the role from my fellow systems engineer Martin Baines, and we were driving all over the region in cool company cars (I had a Citroen BX 16V) selling a really hot product. He hasn’t changed.

Tuning 52

Tuning Benchmarking Engineering C++ 52

The Netflix TechBlog

NOVEMBER 15, 2022

Rachel Kelley (AWS), Ranjit Raju (AWS) Rendering is core to the the VFX process VFX studios around the world create amazing imagery for Netflix productions. 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

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

DECEMBER 20, 2017

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. We need mechanisms that enable the mass production of data using software and hardware capabilities. These mechanisms need to be lean, seamless and effective.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

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

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] , Nov 2011 [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] , Feb 2012 [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] , 2013 [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 52

Performance Latency Cache Virtualization 52

Dynatrace

JUNE 29, 2022

To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture? Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds.

Infrastructure 180

Infrastructure Cloud Azure AWS 180

Dynatrace

JULY 8, 2019

I’ve been speaking to customers over the last few months about our new cloud architecture for Synthetic testing locations and their confusion is clear. When we wanted to add a location, we had to ship hardware and get someone to install that hardware in a rack with power and network. Hardware was outdated.

Cloud 201

Cloud Hardware Testing Logistics 201

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. FaaS vs. monolithic architectures.

Development 249

Development Serverless Best Practices Lambda 249

Scalegrid

JANUARY 8, 2024

Understanding Multi-Cloud and Hybrid Cloud Cloud computing has revolutionized the IT industry, offering a host of advantages including cost-effectiveness, increased agility, and access to cutting-edge hardware. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 207

Analytics Monitoring Artificial Intelligence DevOps 207

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”

Cloud 225

Cloud Serverless Hardware Operating System 225

Dynatrace

MAY 1, 2020

The investment continues—we’re anticipating an upcoming release of the AWS Graviton2 processor , which has already been announced to be significantly more powerful than its predecessor. Network measurements with per-interface and per-process resolution. Network metrics are also collected for detected processes.

Java 133

Java Hardware Tuning Metrics 133

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

Dynatrace

NOVEMBER 22, 2022

Cloud service providers, such as Amazon Web Services (AWS) , can offer infrastructure with five-nines availability by deploying in multiple availability zones and replicating data between regions. Instead, to speed up response times, applications are now processing most data at the network’s perimeter, closest to the data’s origin.

Infrastructure 181

Infrastructure Availability Systems Retail 181

High Scalability

OCTOBER 24, 2022

Each cloud-native evolution is about using the hardware more efficiently. Network effects are not the same as monopoly control. You can even go old school and use non cloud-native architectures. Cloud providers incur huge fixed costs for creating and maintaining a network of datacenters spread throughout the word.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

All Things Distributed

MARCH 11, 2016

The epoch of AWS is the launch of Amazon S3 on March 14, 2006, now almost 10 years ago. Given that AWS is a pioneer in building and operating these services world-wide, these lessons have been of crucial importance to our business. This is a given, whether you are using the highest quality hardware or lowest cost components.

AWS 144

AWS Hardware Retail Virtualization 144

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

All Things Distributed

JULY 20, 2015

Today, I want to explore the Amazon ECS architecture and what this architecture enables. The pool of resources, at this time, is the CPU, memory, and networking resources of Amazon EC2 instances as partitioned by containers. networks ports, memory, CPU, etc). Let’s talk about what Amazon ECS is actually doing.

Latency 166

Latency Architecture AWS Open Source 166

Testsigma

MAY 19, 2021

Infrastructure as a Service is the term used for those cloud-based solutions that provide complete infrastructure to the users including all the overheads, hardware, and networking facilities. As a user, you just need to pay for the services, install low-level requirements and set up the networking. Software as a Service (SaaS).

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

The Netflix TechBlog

FEBRUARY 9, 2021

The homepage needs to load in a reasonable amount of time, even in poor network conditions. We can leverage high performance VMs in AWS to generate the assets. However, it would be cost-inefficient to leverage this same hardware for lightweight and more consistent traffic patterns that an asset management service requires.

Engineering 165

Engineering Storage Latency Entertainment 165

Percona

APRIL 17, 2023

The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. Embedding further simplifies database operations, reduces network overhead, and boosts read and query performance. There is an issue with this, which causes the OS to swap even with memory available.

Best Practices 52

Best Practices Design Tuning Database 52

The Morning Paper

MAY 28, 2019

We don’t talk about energy as often as we probably should on this blog, but it’s certainly true that our data centres and various IT systems consume an awful lot of it. The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. An end-to-end architecture.

Energy 52

Energy Hardware Efficiency Architecture 52

All Things Distributed

JUNE 21, 2012

Amazon DynamoDB is the fastest growing new service in the history of AWS. In the five months since it launched in January, DynamoDB , our fast and scalable NoSQL database service, has been setting AWS growth records. Earth Networks recently launched a new lightning proximity feature for their popular WeatherBug app.

Games 142

Games Scalability AWS Database 142

All Things Distributed

NOVEMBER 15, 2010

Building general purpose architectures has always been hard; there are often so many conflicting requirements that you cannot derive an architecture that will serve all, so we have often ended up focusing on one side of the requirements that allow you to serve that area really well. From CPU to GPU. General Purpose GPU programming.

AWS 136

AWS Latency Programming Architecture 136

Percona

JULY 26, 2023

To make this process work more efficiently and ensure a smooth failover, it is important to have the same hardware configuration on all the nodes of the replica set. When you run multiple MongoD processes on the same server, it’s very difficult to monitor them and the resources they are consuming (CPU, RAM, Network, etc.).

Database 83

Database Servers Storage Strategy 83

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. Document store.

Architecture 52

Architecture Cache Azure Storage 52

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. Networking, HTTP/2, HTTP/3 OCSP stapling, EV/DV certificates, packaging, IPv6, QUIC, HTTP/3. 300ms RTT, 1.6 Mbps down, 0.8

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled 3G network (e.g. To make the performance impact more visible, you could even introduce 2G Tuesdays or set up a throttled 3G/4G network in your office for faster testing. 300ms RTT, 1.6 Mbps down, 0.8

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled network (e.g. To make the performance impact more visible, you could even introduce 2G Tuesdays or set up a throttled 3G network in your office for faster testing. 150ms RTT, 1.5 Mbps down, 0.7 Mbps up) with a throttled CPU (5× slowdown).

Performance 104

Performance Cache Metrics Network 104