Dynatrace

APRIL 21, 2022

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Using a data-driven approach to size Azure resources, Dynatrace OneAgent captures host metrics out-of-the-box to assess CPU, memory, and network utilization on a VM host.

Azure 181

Azure Monitoring Virtualization Metrics 181

Dynatrace

MAY 6, 2019

The Juniper plugin is an ActiveGate Plugin written in Python, it consists of a script that connects to a Juniper Networks device and collects some facts and metrics about it. After I call device.open , every service with “ metrics ” on its name should be executing at the same time, but they were not. seconds of response time.

Code 115

Code Development Metrics Network 115

Scalegrid

APRIL 16, 2020

A vast majority of the features are the same, outside of these advanced features available through the BYOC model: Virtual Private Clouds / Virtual Networks. Amazon Virtual Private Clouds (VPC) and Azure Virtual Networks (VNET) are private, isolated sections of the cloud infrastructure where you can launch resources. Security Groups.

Cloud 242

Cloud Azure AWS Database 242

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Dynatrace news. What does APM stand for? Performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

HammerDB

APRIL 19, 2023

Instead, focus on understanding what the workloads exercise to help us determine how to best use them to aid our performance assessment. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. 4.22 %usr 38.40 0.42 %sys 9.52

Performance 54

Performance Benchmarking Cache Storage 54

The Netflix TechBlog

DECEMBER 23, 2020

In addition to the default Docker namespaces (mount, network, UTS, IPC, and PID), we employ user namespaces for added layers of isolation. This, in turn, allows processes to exercise certain privileges without having any privileges in the init user namespace. In addition to that, we could use our standard metrics daemons on the host.

Media 286

Media Metrics Systems Processing 286

The Morning Paper

OCTOBER 8, 2019

Ours is a story of the elements we found useful in applying neural networks to a real life product. From this foundation, they took their first steps towards neural networks. Airbnb moved from their starting point with a Gradient Boosted Decision Tree (GBDT) model towards deep neural networks in stages. Is it worth it?

Network 82

Network Architecture Tuning Traffic 82

Speed Curve

DECEMBER 13, 2023

A couple of things worth noting: All of the sites in the leaderboard sites are pretty speedy, so this is NOT a name-and-shame exercise. Are you using a content delivery network (CDN) to bring elements like images closer to your users, so that delivery times are faster? Are non-essential or lesser resources deferred?

Performance 67

Performance Retail Benchmarking Ecommerce 67

The Netflix TechBlog

MARCH 6, 2019

MezzFS collects metrics on data throughput, download efficiency, resource usage, etc. We parallelize rerun jobs with Titus , Netflix’s container management platform, which allows us to exercise many hundreds of replay files in minutes. in Atlas , Netflix’s in-memory dimensional time series database.

Media 214

Media Storage Processing Cache 214

Testsigma

JANUARY 6, 2022

Today, when people are working from home, they are using personal or company-provided laptops to connect to the office network. Mostly we are using a virtual desktop to stay connected to the organization’s network. Any technical glitch such as a network bandwidth issue can impact the output of the whole organization. Signup now.

Testing 52

Testing Internet Internet Testing Tools 52

CSS - Tricks

APRIL 1, 2021

Site performance is potentially the most important metric. Having a slow site might leave you on page 452 of search results, regardless of any other metric. With all of this in mind, I thought improving the speed of my own version of a slow site would be a fun exercise. billion if the site slowed down by just one second.

Cache 92

Cache Social Media Media Website 92

Rigor

NOVEMBER 22, 2019

According to Tim Kadlec : A performance budget is a clearly defined limit on one or more performance metrics that the team agrees not to exceed and that is used to guide design and development. Metrics considering time are called “ milestone timings.” Metrics considering time are called “ milestone timings.”

Performance 45

Performance Metrics Website Speed 45

The Morning Paper

JULY 4, 2019

Moreover, just like an A/B test, we’ll be collecting metrics while the experiment is underway and performing statistical analysis at the end to interpret the results. degraded hardware, transient networking problem) or, more often, because of some change deployed by Netflix engineers that did not have the intended effect.

Latency 77

Latency Engineering Metrics Traffic 77

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. A resilient system continues to operate successfully in the presence of failures.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. A resilient system continues to operate successfully in the presence of failures.

Latency 53

Latency Engineering Systems Hardware 53

O'Reilly

JANUARY 17, 2023

You might say that the outcome of this exercise is a performant predictive model. Second, this exercise in model-building was … rather tedious? If a problem calls for a shiny new technique, or a large, branching neural network, someone on your team needs to handle that. That’s sort of true.

Tuning 130

Tuning Open Source AWS Software 130