Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. It is proactive monitoring that simulates traffic with established test variables, including location, browser, network, and device type.

Monitoring 202

Monitoring Social Media IoT Metrics 202

The Netflix TechBlog

SEPTEMBER 8, 2020

To prepare ourselves for a big change in the tech stack of our endpoint, we decided to track metrics around the time taken to respond to queries. After some consultation with our backend teams, we determined the most effective way to group these metrics were by UI screen. Replay Testing Enter replay testing.

Latency 233

Latency Cache Java Traffic 233

Dynatrace

JUNE 8, 2020

Dynatrace Mission Control collects the health monitoring observability metrics for both our Dynatrace SaaS as well as Dynatrace Managed customers. Dynatrace Managed operates as a SaaS solution that keeps your data and data analysis on-premise in your own data center, thereby fulfilling the highest privacy and regulatory needs.

Software 165

Software Software Programming Metrics 165

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. That said, it should also be monitored for usage, which will exhibit the traffic pressuring them. This is not an exhaustive list but an example of what we can watch for.

Performance 106

Performance Monitoring Traffic Database 106

Speed Curve

MARCH 11, 2024

After years of development and testing, Google has added Interaction to Next Paint (INP) to its trifecta of Core Web Vitals – the performance metrics that are a key ingredient in its search ranking algorithm. INP replaces First Input Delay (FID) as the Vitals responsiveness metric. This is what the INP metric assesses."

Mobile 81

Mobile Google Metrics Monitoring 81

Adrian Cockcroft

JANUARY 29, 2023

There is no way to model how much more traffic you can send to that system before it exceeds it’s SLA. I presented this analysis of response time distributions talk in 2016 — at Microxchg in Berlin ( video ). Mu is the mean of each component, the latency. I’ve been thinking about this for a long time.

Lambda 98

Lambda Latency Cache C++ 98

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

DZone

FEBRUARY 26, 2021

This test helps to ensure that the application performs as expected irrespective of the conditions like fluctuating network, bandwidth availability, or traffic load.

Performance Testing 122

Performance Testing Testing Performance Latency 122

Dynatrace

FEBRUARY 15, 2023

SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems. Additionally, you can easily use any previously defined metrics and SLOs from your environments.

DevOps 218

DevOps Latency Traffic Best Practices 218

CSS - Tricks

JULY 25, 2019

Lighthouse records metrics from the browser, applies a scoring model to them, and presents an overall performance score. Guidelines for improvement are suggested based on how specific metrics score. Over the past couple of years, it has become the go-to free performance analysis tool. Estimated Input Latency. Speed Index.

Google 71

Google Engineering Speed Mobile 71

HammerDB

OCTOBER 23, 2023

With a simple example such as this, it would not necessarily be expected for the additional network traffic to be significant between the 2 approaches. Database information and performance schemas The best approach for database performance analysis is to take a top-down approach. On MySQL, we saw a 1.5X performance advantage.

Benchmarking 62

Benchmarking Database Network C++ 62

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

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.

Metrics 171

Metrics Monitoring Database Network 171

Percona

SEPTEMBER 1, 2023

This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Query plan analysis can also provide valuable insights. Key metrics such as CPU usage, memory usage, and disk I/O offer insights into how efficiently your database server operates.

Tuning 52

Tuning Database Performance Hardware 52

The Netflix TechBlog

NOVEMBER 9, 2022

A quick canary test was free of errors and showed lower latency, which is expected given that our standard canary setup routes an equal amount of traffic to both the baseline running on 4xl and the canary on 12xl. What’s worse, average latency degraded by more than 50%, with both CPU and latency patterns becoming more “choppy.”

Hardware 363

Hardware Cache Performance Latency 363

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security. Wednesday?—?December

AWS 37

AWS Entertainment Open Source Benchmarking 37

Dynatrace

JULY 24, 2023

Observability data provides a treasure trove of performance, stability, and user experience metrics encompassing error rates, response times, and user engagement. With swift precision, an answer-driven automation solution that uses causal AI can transform these metrics into invaluable insights.

DevOps 219

DevOps Traffic Efficiency Servers 219

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. The network latency between cluster nodes should be around 10 ms or less. Minimized cross-data center network traffic. A similar analysis can be performed on your GRO.

Availability 246

Availability Hardware Latency Traffic 246

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. With request tracing and additional data from logs, events, metadata, and analysis, Edgar is able to show the flow of a request through our distributed system?

Latency 296

Latency Transportation Engineering Traffic 296

The Netflix TechBlog

AUGUST 16, 2023

That’s a significant amount and certainly more than is necessary relative to the traffic on most clusters. More acutely, if a traffic spike occurs and Zuul instances scale up, it exponentially increases connections open to origins. There is effectively no churn of connections, even at peak traffic.

Traffic 170

Traffic Servers Google Metrics 170

The Netflix TechBlog

FEBRUARY 18, 2022

We thus assigned a priority to each use case and sharded event traffic by routing to priority-specific queues and the corresponding event processing clusters. This separation allows us to tune system configuration and scaling policies independently for different event priorities and traffic patterns.

Systems 334

Systems Traffic Architecture Mobile 334

Smashing Magazine

AUGUST 3, 2023

It increases our visibility and enables us to draw a steady stream of organic (or “free”) traffic to our site. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority. The higher our organic traffic, the more profitable we become as a company.

Performance 74

Performance Cache Traffic Metrics 74

Smashing Magazine

OCTOBER 31, 2023

But do you know how Lighthouse calculates performance metrics like First Contentful Paint (FCP), Total Blocking Time (TBT), and Cumulative Layout Shift (CLS)? Still, there’s nothing in there to tell us about the data Lighthouse is using to evaluate metrics. But it comes with caveats. It’s right there in the name!

Speed 97

Speed Google Website Metrics 97

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 210

Monitoring Tuning Traffic Metrics 210

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. This enables us to use our scale to increase throughput and reduce latencies. Here, based on the video length, the throughput and latency requirements, available scale etc., Assembly for two of the metrics (e.g.

Media 171

Media Innovation Metrics Latency 171

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. Organizations can select the most cost-effective option for each region or traffic type, reducing overall CDN expenses.4.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

The Netflix TechBlog

JULY 26, 2021

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. Data Quality Data Mesh provides metrics and dashboards at both the processor and pipeline level for operational observability.

Big Data 253

Big Data Government Analytics Processing 253

VoltDB

JUNE 9, 2017

These systems drive deep insights into network engineering and planning, capacity management, customer retention, and other key metrics. To analyze the network data for very specific information – but you couldn’t apply that analysis over the huge volume of data. downgrading the streaming rate on video).

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

These systems drive deep insights into network engineering and planning, capacity management, customer retention, and other key metrics. To analyze the network data for very specific information – but you couldn’t apply that analysis over the huge volume of data. downgrading the streaming rate on video).

Analytics 40

Analytics Strategy Network Games 40

IO River

NOVEMBER 2, 2023

determining a business's value to its clients, the level of service it provides is often a key metric. The stakes are even higher during high-traffic periods such as Black Friday or Cyber Monday. Local outages might cause traffic to be routed to non-local Points of Presence (PoPs), considerably decreasing performance and usability.

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

determining a business's value to its clients, the level of service it provides is often a key metric. The stakes are even higher during high-traffic periods such as Black Friday or Cyber Monday. Local outages might cause traffic to be routed to non-local Points of Presence (PoPs), considerably decreasing performance and usability.

Availability 52

Availability Social Media Traffic Games 52

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. Two failure modes we focus on are a service becoming slower (increase in response latency) or a service failing outright (returning errors).

Latency 77

Latency Engineering Metrics Traffic 77

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

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. Organizations can select the most cost-effective option for each region or traffic type, reducing overall CDN expenses.4.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

John McCalpin

APRIL 2, 2020

With a staff of slightly over 175 full-time employees (less than 1/2 in consulting roles), we must therefore focus on highly-leveraged performance analysis projects, rather than labor-intensive ones. Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time.

Benchmarking 59

Benchmarking Performance Latency Architecture 59

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191