Dynatrace

APRIL 5, 2021

Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. You can eliminate the latency issues caused by cold starts — an increase in normal response time when a new instance receives its first request — by using edge-optimized functions that run code closer to users and other projects.

Lambda 174

Lambda AWS Serverless Hardware 174

The Netflix TechBlog

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 100

AWS Entertainment Open Source Benchmarking 100

Dynatrace

JULY 6, 2020

While the Azure overview page in Dynatrace has long featured monitoring data detected by OneAgent, with additional metrics pulled from Azure Monitor and topology information from Azure Resource Graph, the overview page now gives you quick access to the newly added services, which are listed under Supporting services.

Azure 144

Azure Cloud Big Data Virtualization 144

The Netflix TechBlog

SEPTEMBER 10, 2024

Continuous Instrumentation of the Linux Scheduler To ensure the reliability of our workloads that depend on low latency responses, we instrumented the run queue latency for each container, which measures the time processes spend in the scheduling queue before being dispatched to the CPU.

Latency 249

Latency Metrics Programming Monitoring 249

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. This process thoroughly assesses factors like cost-effectiveness, security measures, control levels, scalability options, customization possibilities, performance standards, and availability expectations.

Strategy 130

Strategy Cloud Government Innovation 130

The Netflix TechBlog

MARCH 13, 2020

SVT-AV1: open-source AV1 encoder and decoder by Andrey Norkin , Joel Sole , Mariana Afonso , Kyle Swanson, Agata Opalach , Anush Moorthy , Anne Aaron SVT-AV1 is an open-source AV1 codec implementation hosted on GitHub [link] under a BSD + patent license. A single-threaded compression mode is used.

Open Source 159

Open Source Efficiency C++ Speed 159

The Netflix TechBlog

SEPTEMBER 10, 2024

Throughout this evolution, we’ve been able to maintain high availability and a consistent message delivery rate, with Pushy successfully maintaining 99.999% reliability for message delivery over the last few months. In our case, we value low latency — the faster we can read from KeyValue, the faster these messages can get delivered.

Latency 231

Latency Cache Tuning Efficiency 231

Brendan Gregg

AUGUST 18, 2019

bpftrace is a new open source tracer for Linux for analyzing production performance problems and troubleshooting software. For example, iostat(1), or a monitoring agent, may tell you your average disk latency, but not the distribution of this latency. This example instrumented one of many thousands of available events.

Latency 68

Latency C++ Cache Programming 68

The Morning Paper

SEPTEMBER 5, 2019

Datadog handles a ton of metrics – some customers have endpoints generating over 10M points per second! For response times (latencies) reporting a simple metric such as ‘average’ is next to useless. Instead we want to understand what’s happening at different latency percentiles (e.g Why do we need a new sketch?

Latency 52

Latency Metrics Open Source Java 52

The Morning Paper

FEBRUARY 23, 2020

It would be possible for a coordinator to also maintain their own giant copy of the public data available in the system, assuming some freshness guarantees, but the payment mechanisms in AnyLog make a crawl in advance of queries unattractive. SLA enforcement of availability clauses. Incentives for contractors. Periods (e.g.

Blockchain 94

Blockchain Internet Internet IoT 94

Testsigma

AUGUST 24, 2020

Similarly, it helps to have a real-time dashboard for performance which depicts the performance metrics over a period of time rather than digging into logs and code-profiler reports every time you want to check on a product’s performance. Increased Complexity: As the scope for the product grows, so does the scope for continuous testing.

Testing 69

Testing Open Source Scalability Latency 69

The Netflix TechBlog

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 38

AWS Entertainment Open Source Benchmarking 38

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. Organizations usually implement observability using a combination of instrumentation methods including open-source instrumentation tools, such as OpenTelemetry.

Metrics 363

Metrics Open Source Monitoring Cloud 363

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. Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. Additionally both commercial and open source tools based on the specifications also continued to use TPC-C and TPC-H to describe these workloads. But why is this important?

C++ 40

C++ Benchmarking Virtualization Open Source 40

Dynatrace

MAY 13, 2022

Apache Cassandra is an open-source, distributed, NoSQL database. Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. Provide a foundation for calculating metrics in dashboard charts.

Azure 230

Azure Latency Metrics Infrastructure 230

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses. What is OneAgent?

Metrics 164

Metrics Monitoring Database Network 164

The Netflix TechBlog

FEBRUARY 20, 2019

by Jason Koch , with Martin Spier , Brendan Gregg , Ed Hunter Improving the tools available to our engineers to help them diagnose, triage, and work through software performance challenges in the cloud is a key goal for the cloud performance engineering team at Netflix. Vector is open source and in use by multiple companies.

Performance 216

Performance Latency Open Source Metrics 216

Scalegrid

DECEMBER 16, 2019

MongoDB is the #3 open source database and the #1 NoSQL database in the world. We ran performance tests for MongoDB on DigitalOcean vs. AWS vs. Azure and found that DigitalOcean performance was in line with, if not better, on both high throughput and low latency in the deployment. DigitalOcean Droplets.

Azure 187

Azure AWS Latency Database 187

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. It has become a de facto standard for perceptual quality measurements within Netflix and, thanks to its open-source nature , throughout the video industry. As before, the start time for each metric’s assembly can vary.

Media 179

Media Innovation Metrics Latency 179

Dynatrace

JUNE 25, 2021

As a strong supporter of open source and open standards, I’m aware that the wide availability of standards, open-source tools, and some newly coined terms are causing a lot of confusion. OpenTelemetry aims to support three so-called observability signals, namely: metrics.

Open Source 194

Open Source Monitoring Google Systems 194

The Netflix TechBlog

JULY 26, 2021

From the moment a Netflix film or series is pitched and long before it becomes available on Netflix, it goes through many phases. Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain.

Big Data 257

Big Data Government Analytics Processing 257

The Netflix TechBlog

JANUARY 24, 2022

Technically, “performance” metrics are those relating to the responsiveness or latency of the app, including start up time. At Netflix the term “performance” usually encompasses both performance metrics (in the strict meaning) and memory metrics, and that’s how we’re using the term here. What do we mean by Performance?

Performance 208

Performance Metrics Performance Testing Testing 208

Speed Curve

MAY 1, 2023

A performance budget is a threshold that you apply to the metrics you care about the most. A good performance budget chart, such as the one above, should show you: The metric you're tracking The threshold you've created for that metric When you exceed that threshold How long you stayed out of bounds When you returned to below the threshold 3.

Performance 98

Performance Metrics Media Google 98

The Netflix TechBlog

AUGUST 13, 2020

A metric crossed a threshold. Metrics are a key part of understanding application health. But sometimes you can have too many metrics, too many graphs, and too many dashboards. Telltale uses a variety of signals from multiple sources to assemble a constantly evolving model of the application’s health: Atlas time series metrics.

Monitoring 219

Monitoring Tuning Traffic Metrics 219

Smashing Magazine

AUGUST 3, 2023

Google’s Core Web Vitals is a set of performance metrics that site owners can use to evaluate performance and diagnose performance issues. These metrics provide a different perspective on user experience: Largest Contentful Paint (LCP) Measures the time it takes for the main content on a webpage to load. One of the key Next.js

Performance 75

Performance Cache Traffic Metrics 75

All Things Distributed

JULY 20, 2015

A cluster is just a pool of compute resources available to a customer’s applications. The agent is written in Go, has a minimal footprint, and is available on GitHub under an Apache license. This architecture affords Amazon ECS high availability, low latency, and high throughput because the data store is never pessimistically locked.

Latency 164

Latency Architecture AWS Open Source 164

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

Smashing Magazine

MAY 20, 2020

Which metrics should I use?” Which values of these metrics are acceptable?”. The metrics selection is outside of the scope of this article and depends highly on the project context, but I recommend that you start by reading User-centric Performance Metrics by Philip Walton. Adding 20% to them and set as your next goals.

Performance 100

Performance Metrics Best Practices Code 100

Percona

APRIL 7, 2023

Here’s how the same test performed when running Percona Distribution for PostgreSQL 14 on these same servers: Queries: reads Queries: writes Queries: other Queries: total Transactions Latency (95th) MySQL (A) 1584986 1645000 245322 3475308 122277 20137.61 MySQL (B) 2517529 2610323 389048 5516900 194140 11523.48 Why is that?

Tuning 137

Tuning Cache Servers Benchmarking 137

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. Apple Corporate is at fault, not Open Source engineers or the line managers who support them. Another window into this question is provided by the Web Confluence Metrics project. Higher is better.

Media 145

Media Games Education Engineering 145

The Agile Manager

JULY 29, 2007

Such strategic solutions can’t be sourced based on cost-of-capacity; they need to be sourced specifically on the capability of those delivering the solution. It is possible, though, to take an objective assessment of IT capability.

Government 40

Government Open Source Latency Code 40

Smashing Magazine

AUGUST 22, 2021

Because we are dealing with network protocols here, we will mainly look at network aspects, of which two are most important: latency and bandwidth. Latency can be roughly defined as the time it takes to send a packet from point A (say, the client) to point B (the server). Two-way latency is often called round-trip time (RTT).

Performance 107

Performance Network Latency Servers 107

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best.

AWS 52

AWS Database Serverless Storage 52

Adrian Cockcroft

NOVEMBER 11, 2019

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. This is why most AWS regions have three availability zones. Try to measure your mean time to respond (MTTR) for incidents. that are used across multiple applications.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

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. This is why most AWS regions have three availability zones. Try to measure your mean time to respond (MTTR) for incidents. that are used across multiple applications.

Latency 53

Latency Engineering Systems Hardware 53