Alex Russell

JANUARY 30, 2024

It's time once again to update our priors regarding the global device and network situation. 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. What's changed since last year? and 75KiB of JavaScript.

Performance 90

Performance Network Mobile Speed 90

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. The closer one looks, the less a definition of "appiness" can be pinned down to specific technologies. Don't like the consequences?

Hardware 64

Hardware Mobile Programming Java 64

Alex Russell

MARCH 6, 2021

Thanks to progress in networks and browsers (but not devices), a more generous global budget cap has emerged for sites constructed the "modern" way: ~100KiB of HTML/CSS/fonts and ~300-350KiB of JS (compressed) is the new rule-of-thumb limit for at least the next year or two. Modern network performance and availability.

Performance 124

Performance Network Cache Metrics 124

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., SREs and DevOps teams can use these incidents to build back better and improve their systems and services. Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation.

Social Media 90

Social Media Monitoring Latency DevOps 90

The Morning Paper

APRIL 2, 2019

Root of trust (RoT) establishment on an untrusted system ensures that a system state comprises all and only content chosen by the user, and the user’s code begins execution in that state. In this context it means there are no external dependencies on e.g. secrets, trusted hardware modules, or special instructions (e.g.

Software 40

Software Software Programming Hardware 40

Abhishek Tiwari

DECEMBER 27, 2017

optimised container networking and security. A good example will be something like Pachyderm [8] [9] - a relatively young project which implements a distributed Pachyderm File System (PFS) and a data-aware scheduler Pachyderm Pipeline System (PPS) on top of Kubernetes. distributed stateful data workloads (Zookeeper, Cassandra).

Big Data 63

Big Data Storage Benchmarking Hardware 63

Alex Russell

JULY 14, 2021

The predominant desktop situation is relatively straightforward: Browsers handle links, and non-browsers defer loading http and https URLs to the system, which in turn invokes the default browser. Instead, they load content referred by their hosting native app in system-provided WebViews. The Baseline Scenario #. " you might ask?

Google 121

Google Mobile Engineering Internet 121

O'Reilly Software

APRIL 4, 2018

Are there inherent time relationships in the messages that need to be preserved as they travel across the system? They have a clear input and output definition, and often a schema as well. When we work on a single machine, the operating system takes care of managing the resources allocated to applications. At least once?

Architecture 80

Architecture Scalability Google Operating System 80

Abhishek Tiwari

DECEMBER 13, 2017

This has far-reaching implications how future data systems and algorithms will be designed. More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. Learned Bloom filters. What's next.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

Alex Russell

OCTOBER 22, 2017

We constrain ourselves to a real-world baseline device + network configuration to measure progress. Budgets are scaled to a benchmark network & device. Tools and CI systems help them monitor progress & prevent regressions. The median user is on a slow network. Global Ground-Truth. Where to start?

Performance 68

Performance Benchmarking Network Mobile 68

SQL Server According to Bob

JANUARY 11, 2020

This will help you increase system performance and avoid I/O environment errors. Important When planning, deploying, and maintaining a Microsoft SQL Server installation, ensure that the I/O system supports all the factors outlined in this article. Complying with all applicable copyright laws is the responsibility of the user.

Servers 40

Servers Cache Media Hardware 40

HammerDB

FEBRUARY 25, 2021

On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute. For simplicity, we do not include networking or transaction management middleware in this discussion because although important in the real world they do not affect the key concepts.

Programming 67

Programming Benchmarking Virtualization C++ 67

All Things Distributed

DECEMBER 20, 2017

Breuninger uses modern templates for software development, such as Self-Contained Systems (SCS), so that it can increase the speed of software development with agile and autonomous teams and quickly test new features. We need mechanisms that enable the mass production of data using software and hardware capabilities.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Smashing Magazine

JANUARY 11, 2021

Networking, HTTP/2, HTTP/3 OCSP stapling, EV/DV certificates, packaging, IPv6, QUIC, HTTP/3. If you don’t have a device at hand, emulate mobile experience on desktop by testing on a throttled 3G network (e.g. Moto G4) on a slow 3G network, emulated at 400ms RTT and 400kbps transfer speed. 300ms RTT, 1.6 Mbps down, 0.8

Performance 145

Performance Cache Media Metrics 145

Brendan Gregg

SEPTEMBER 5, 2017

What follows are topics that may be of interest to anyone looking to migrate their systems and skillset: scan these to find topics that interest you. ## ZFS ZFS is available for Linux via the [zfsonlinux] and [OpenZFS] projects, and more recently was included in Canonical's Ubuntu Linux distribution: Ubuntu Xenial 16.04 LTS (April 2016).

Virtualization 76

Virtualization AWS Engineering Hardware 76

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

The Morning Paper

JANUARY 19, 2020

“Coping with complexity” is about as good a three-word summary of the systems and software challenges facing us over the next decade as I can imagine. introduce a requirement for one human to need to understand more complexity than is reasonable) and you’re no longer in control of your systems. Go overdrawn (i.e.,

C++ 50

C++ Systems Software Software 50

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. Java used to power core file system code. What is the name of your system and where can we find out more about it?

Architecture 52

Architecture Cache Azure Storage 52

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

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. Anyone can rent a rack in a colo and stand up a system. Cloud providers incur huge fixed costs for creating and maintaining a network of datacenters spread throughout the word. It has been done.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

O'Reilly

NOVEMBER 28, 2023

That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. AI users are definitely facing these problems: 7% report that data quality has hindered further adoption, and 4% cite the difficulty of training a model on their data. Finally, the Business So what’s the bottom line?

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112

Smashing Magazine

AUGUST 22, 2021

As we will see, QUIC and HTTP/3 indeed have great web performance potential, but mainly for users on slow networks. If your average visitor is on a fast cabled or cellular network, they probably won’t benefit from the new protocols all that much. An often used metaphor is that of a pipe used to transport water. Congestion Control.

Performance 107

Performance Network Latency Servers 107

The Netflix TechBlog

FEBRUARY 9, 2021

The homepage needs to load in a reasonable amount of time, even in poor network conditions. However, it would be cost-inefficient to leverage this same hardware for lightweight and more consistent traffic patterns that an asset management service requires. Let’s put it all together and review the system interaction diagram.

Engineering 165

Engineering Storage Latency Entertainment 165

O'Reilly

OCTOBER 11, 2022

As a trend, it’s not performing well on Google; it shows little long-term growth, if any, and gets nowhere near as many searches as terms like “Observability” and “Generative Adversarial Networks.” meme originated in IT’s transformation from manual system administration to automated configuration management and software deployment.

Games 120

Games Healthcare Processing Retail 120

All Things Distributed

JULY 20, 2015

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). To be robust and scalable, this key/value store needs to be distributed for durability and availability, to protect against network partitions or hardware failures.

Latency 166

Latency Architecture AWS Open Source 166