The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. One example is the Spectator Python client library, a library for instrumenting code to record dimensional time series metrics. We use Python to help generate TLS certificates using Lemur.

Open Source 279

Open Source Network Infrastructure Big Data 279

Percona

OCTOBER 18, 2023

You can tailor the database to meet your precise requirements by modifying the source code, adding extensions, or customizing configurations. Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. And finally… budgets.

Open Source 89

Open Source Database Hardware Strategy 89

O'Reilly

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Mental contortions led to code contortions led to frustration. And, often, to giving up.

Hardware 97

Hardware Storage Big Data Blockchain 97

All Things Distributed

MARCH 19, 2018

Amazon SageMaker training supports powerful container management mechanisms that include spinning up large numbers of containers on different hardware with fast networking and access to the underlying hardware, such as GPUs. This can all be done without touching a single line of code. Post-training model tuning and rich states.

Scalability 159

Scalability Hardware AWS Tuning 159

Dynatrace

OCTOBER 28, 2021

As software performance degrades or fails, the chaos engineers’ findings enable developers to add resiliency into the code, so the application remains intact in an emergency. With visibility across the full software stack, Dynatrace provides crucial contextual analysis to isolate the root cause of failures exposed by chaos testing.

Engineering 231

Engineering Entertainment Cloud Infrastructure 231

Sutter's Mill

NOVEMBER 11, 2023

0] would be easy to call “obvious” in hindsight, but it’s far from the only option and this paper’s analysis shows a thorough consideration of alternatives, including their effects on existing and future code and future language evolution. Seeing only the end result of T.[0] This is that library.

C++ 107

C++ Lambda Network Programming 107

Percona

AUGUST 27, 2018

assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. We can split the task of having a good Resource Group implementation into three steps: You must perform an analysis of what you want to control.

Tuning 44

Tuning Virtualization Testing Servers 44

Brendan Gregg

SEPTEMBER 25, 2021

This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Without NMI, some kernel code paths (interrupts disabled) can't be profiled.

Speed 126

Speed Java AWS Virtualization 126

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. that a lot of people used.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Adrian Cockcroft

JUNE 2, 2023

FSD has a sense of purpose, a planning capability, has real time agency and responds to its environment via an ego model, predicting the behavior of pedestrians and other road users, and is being tuned to drive in a very human way, so that other road users interact with it as a predicable normal driver.

Social Media 98

Social Media Innovation Open Source Entertainment 98

All Things Distributed

NOVEMBER 30, 2016

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models. Amazon Lex.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

Dynatrace

NOVEMBER 20, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Stay tuned for more announcements on this topic.

Availability 32

Availability Hardware Java Tuning 32

Dotcom-Montior

OCTOBER 12, 2017

Result Analysis. Deep dive analysis of correlated results in Dynatrace. Dynatrace – Deep dive analysis. Edit the load testing script and add the following code section after tab0 variable initialized: Tab.SetRequestHeader(“loadtest”,”x-dynatrace”); Execute the EveryStep Script load test script several times (single user).

AWS 40

AWS Tuning Monitoring Servers 40

Dynatrace

AUGUST 8, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Stay tuned for more announcements on this topic.

Availability 25

Availability Hardware Java Tuning 25

Brendan Gregg

SEPTEMBER 25, 2021

This was a weird problem to think about: Time itself had now become a resource and target of performance analysis. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Without NMI, some kernel code paths (interrupts disabled) can't be profiled.

Speed 40

Speed Java AWS Virtualization 40

Adrian Cockcroft

NOVEMBER 13, 2023

In the simplest case, you have a growing workload, and you optimize it to run more efficiently so that you don’t need to buy or rent additional hardware, so your carbon footprint stays the same, but the carbon per transaction or operation is going down. I’ve written before about how to tune out retry storms.

Energy 52

Energy Cloud Traffic Transportation 52

Brendan Gregg

SEPTEMBER 5, 2017

It uses a Solaris Porting Layer (SPL) to provide a Solaris-kernel interface on Linux, so that unmodified ZFS code can execute. There's also a ZFS send/recv code path that should try to use the TASK_INTERRUPTIBLE flag (as suggested by a coworker), to avoid a kernel hang (can't kill -9 the process). LTS (April 2016).

Virtualization 76

Virtualization AWS Engineering Hardware 76

John McCalpin

JANUARY 22, 2018

Introduction: In December 2017, my colleague Damon McDougall (now at AMD) asked for help in porting the fused multiply-add example code from a Colfax report ( [link] ) to the Xeon Phi x200 (Knights Landing) processors here at TACC. of the “adjusted peak performance”, there is no longer a significant upside to performance tuning.

Latency 40

Latency Hardware Code Testing 40

SQL Performance

MARCH 8, 2021

This can make it difficult to draw sound performance-tuning conclusions. This uses hardware, typically a crystal oscillator, that produces ticks at a very high constant rate regardless of processor speed, power settings, or anything of that nature. SQL Server uses the high-precision QueryPerformanceCounter API to capture timing data.

Servers 95

Servers Tuning Architecture Processing 95

High Scalability

NOVEMBER 25, 2019

Java used to power core file system code. Python used to power client-side code, certain microservices, migration scripts, internal scripts. We use event-based sync in our desktop sync client code, as server events are happening they get pushed to the client from server and the client replays them locally.

Architecture 52

Architecture Cache Azure Storage 52