Dynatrace

OCTOBER 28, 2021

Once established, chaos engineering becomes an effective way to fine tune service-level indicators and objectives, improve alerting, and build more efficient dashboards, so you know you are collecting all the data you need to accurately observe and analyze your environment. Boosts business outcomes.

Engineering 228

Engineering Entertainment Cloud Infrastructure 228

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 46

Tuning Virtualization Testing Servers 46

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

The Morning Paper

MAY 21, 2019

Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. The key to an efficient system is the identification of cold pages: the cold age threshold determines how many seconds we can go without a page being accessed before it is declared cold. ML-based auto-tuning. Evaluation.

Software 78

Software Software Google Hardware 78

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

O'Reilly Software

APRIL 4, 2018

Those were the days when “connected” meant having some web presence, “interactions” were measured in number of clicks, and the analysis happened in batch overnight processes. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. At least once? At most once?

Architecture 80

Architecture Scalability Google Operating System 80

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Prepare the testing environment: Make sure your hardware and network configurations closely reflect real world conditions. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Brendan Gregg

SEPTEMBER 5, 2017

I wrote a page on it: [perf]. - **eBPF**: tracing features completed in 2016, this provides efficient programmatic tracing to existing kernel frameworks. Both Xen and KVM have had many performance and security improvements, and workloads can now be tuned to run at almost bare metal speeds (say, a 3% loss or less).

Virtualization 76

Virtualization AWS Engineering Hardware 76

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

John McCalpin

JANUARY 22, 2018

Hardware performance counter results for a simple benchmark code calling Intel’s optimized DGEMM implementation for this processor (from the Intel MKL library) show that about 20% of the dynamic instruction count consists of instructions that are not packed SIMD operations (i.e., addl $1, %eax vfmadd213pd %zmm16, %zmm17, %zmm29.

Latency 40

Latency Hardware Code Testing 40

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

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. Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud.

Open Source 279

Open Source Network Infrastructure Big Data 279

O'Reilly

SEPTEMBER 19, 2023

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. A common audience question was “can Hadoop run [my arbitrary analysis job or home-grown algorithm]?” Google goes a step further in offering compute instances with its specialized TPU hardware. And, often, to giving up.

Hardware 99

Hardware Storage Big Data Blockchain 99

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. Post-training model tuning and rich states. Principal Component Analysis (PCA).

Scalability 159

Scalability Hardware AWS Tuning 159

High Scalability

NOVEMBER 25, 2019

Version7 (Future): Move all compute to the public cloud, carve out more services for impact isolation, dynamic resource pooling to manage pets and cattle efficiently. For permissions data, we have rearchitected that layer many times and recently we wrote a TRIE to cache this efficiently. This is the current architecture.

Architecture 52

Architecture Cache Azure Storage 52