The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 279

Traffic Metrics Systems Strategy 279

Scalegrid

JUNE 4, 2020

Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. On average, ScaleGrid provides over 30% more storage vs. DigitalOcean for PostgreSQL at the same affordable price. Now, let’s take a look at the throughput and latency performance of our comparison. PostgreSQL DigitalOcean Latency Averages (ms).

Database 230

Database Latency Benchmarking Performance 230

The Netflix TechBlog

SEPTEMBER 24, 2021

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Uploading and downloading data always come with a penalty, namely latency.

Cloud 237

Cloud Media Storage Cache 237

The Netflix TechBlog

NOVEMBER 2, 2021

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., Stay tuned for more details on these algorithmic innovations. VQS is called using the measureQuality endpoint. The workflow is initiated.

Media 171

Media Innovation Metrics Latency 171

Brendan Gregg

JUNE 30, 2018

A co-worker introduced me to Craig Hanson and Pat Crain's performance mantras, which neatly summarize much of what we do in performance analysis and tuning. Answering this usually requires analysis using other observability tools while the benchmark is running (what I call "[active benchmarking]"). ### 2. Don't do it.

Benchmarking 54

Benchmarking Latency Cache Network 54

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Details on the AWS Blog. The Amazon Elastic File System. for a while already.

Lambda 123

Lambda Cloud IoT AWS 123

Brendan Gregg

JUNE 29, 2018

A co-worker introduced me to Craig Hanson and Pat Crain's performance mantras, which neatly summarize much of what we do in performance analysis and tuning. Answering this usually requires analysis using other observability tools while the benchmark is running (what I call "[active benchmarking]"). ### 2. Don't do it.

Benchmarking 40

Benchmarking Latency Cache Network 40

Brendan Gregg

SEPTEMBER 5, 2017

Here's some output from my zfsdist tool, in bcc/BPF, which measures ZFS latency as a histogram on Linux: # zfsdist. Tracing ZFS operation latency. Both Xen and KVM have had many performance and security improvements, and workloads can now be tuned to run at almost bare metal speeds (say, a 3% loss or less). Hit Ctrl-C to end. ^C

Virtualization 76

Virtualization AWS Engineering Hardware 76