The Netflix TechBlog

MAY 4, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

JUNE 1, 2023

It represents the percentage of time a system or service is expected to be accessible and functioning correctly. Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This SLO enables a smooth and uninterrupted exercise-tracking experience.

Latency 179

Latency Website Traffic Virtualization 179

Dynatrace

JUNE 1, 2023

It represents the percentage of time a system or service is expected to be accessible and functioning correctly. Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This SLO enables a smooth and uninterrupted exercise-tracking experience.

Traffic 173

Traffic Latency Website Virtualization 173

The Netflix TechBlog

SEPTEMBER 8, 2020

For each route we migrated, we wanted to make sure we were not introducing any regressions: either in the form of missing (or worse, wrong) data, or by increasing the latency of each endpoint. If we pare down the problem to absolute basics, we essentially have two services returning JSON. Replay Testing Enter replay testing.

Latency 233

Latency Cache Java Traffic 233

Dynatrace

JUNE 27, 2022

However, not all user monitoring systems are created equal. RUM, however, has some limitations, including the following: RUM requires traffic to be useful. Because RUM relies on user-generated traffic, it’s hard to indicate persistent issues across the board. What is real user monitoring? Real user monitoring limitations.

Best Practices 177

Best Practices Monitoring Wireless Traffic 177

The Morning Paper

NOVEMBER 14, 2019

Taiji: managing global user traffic for large-scale internet services at the edge Xu et al., It’s another networking paper to close out the week (and our coverage of SOSP’19), but whereas Snap looked at traffic routing within the datacenter, Taiji is concerned with routing traffic from the edge to a datacenter. SOSP’19.

Traffic 42

Traffic Internet Internet Latency 42

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. Expert Tip.

Cloud 242

Cloud Azure AWS Database 242