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

Scalegrid

APRIL 16, 2020

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). This can result in significant cost savings for high traffic applications. No problem.

Cloud 242

Cloud Azure AWS Database 242

Speed Curve

MARCH 5, 2023

"I made my pages faster, but my business and user engagement metrics didn't change. The performance poverty line is the plateau at which changes to your website’s rendering metrics (such as Start Render and Largest Contentful Paint) cease to matter because you’ve bottomed out in terms of business and user engagement metrics.

Performance 119

Performance C++ Metrics Ecommerce 119

Dynatrace

MAY 28, 2020

Once Dynatrace sees the incoming traffic it will also show up in Dynatrace, under Transaction & Services. These tags will allow us to create dashboards, request attributes or calculate service metrics specifically for our application under test. This allows us to analyze metrics (SLIs) for each individual endpoint URL.

Engineering 191

Engineering Performance Metrics Best Practices 191

Speed Curve

MARCH 5, 2023

"I made my pages faster, but my business and user engagement metrics didn't change. The performance plateau is the point at which changes to your website’s rendering metrics (such as Start Render and Largest Contentful Paint) cease to matter because you’ve bottomed out in terms of business and user engagement metrics.

Performance 52

Performance C++ Metrics Ecommerce 52

The Morning Paper

OCTOBER 8, 2019

” The charts below show the improvements over time in the key offline metric, normalised discounted cumulative gain (NDCG), and in gains in bookings achieved online with the deployed models. Overall, the transition was “ one of the most impactful applications of machine learning at Airbnb.” Don’t be a hero, in the beginning.

Network 82

Network Architecture Tuning Traffic 82

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. In all cases we need to be able to carefully monitor the impact on the system, and back out if things start going badly wrong. Defining and running experiments.

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

The Netflix TechBlog

OCTOBER 21, 2019

Where other systems may take over ten minutes to process metrics accurately, Mantis reduces that from tens of minutes down to seconds, effectively reducing our Mean-Time-To-Detect. Mantis Makes It Easy to Answer New Questions The traditional way of working with metrics and logs alone is not sufficient for large-scale and growing systems.

Open Source 148

Open Source Metrics Engineering Processing 148

The Netflix TechBlog

OCTOBER 21, 2019

Where other systems may take over ten minutes to process metrics accurately, Mantis reduces that from tens of minutes down to seconds, effectively reducing our Mean-Time-To-Detect. Mantis Makes It Easy to Answer New Questions The traditional way of working with metrics and logs alone is not sufficient for large-scale and growing systems.

Open Source 101

Open Source Metrics Engineering Processing 101

The Netflix TechBlog

OCTOBER 21, 2019

Where other systems may take over ten minutes to process metrics accurately, Mantis reduces that from tens of minutes down to seconds, effectively reducing our Mean-Time-To-Detect. Mantis Makes It Easy to Answer New Questions The traditional way of working with metrics and logs alone is not sufficient for large-scale and growing systems.

Open Source 100

Open Source Metrics Engineering Processing 100