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 37

AWS Entertainment Open Source Benchmarking 37

Speed Curve

NOVEMBER 29, 2020

We love the idea of having a lean, shared set of metrics that we can all rally around – not to mention having a broader conversation about web performance that includes teams throughout an organization. There are a quite a few behavioral outcomes you can look at to determine correlation or impact of a given performance metric.

Metrics 109

Metrics Entertainment Google Monitoring 109

Brendan Gregg

SEPTEMBER 5, 2017

What follows are topics that may be of interest to anyone looking to migrate their systems and skillset: scan these to find topics that interest you. ## ZFS ZFS is available for Linux via the [zfsonlinux] and [OpenZFS] projects, and more recently was included in Canonical's Ubuntu Linux distribution: Ubuntu Xenial 16.04 LTS (April 2016).

Virtualization 76

Virtualization AWS Engineering Hardware 76

The Netflix TechBlog

NOVEMBER 12, 2019

Every aspect is personalized With systems driven by machine learning, it is important to measure the overall system-level impact of changes to a model, not just the local impact on the model performance itself. In Machine Learning, offline metrics are often used to measure the performance of model changes on historical data.

Metrics 124

Metrics Government Systems Testing 124

The Netflix TechBlog

NOVEMBER 12, 2019

Every aspect is personalized With systems driven by machine learning, it is important to measure the overall system-level impact of changes to a model, not just the local impact on the model performance itself. In Machine Learning, offline metrics are often used to measure the performance of model changes on historical data.

Metrics 100

Metrics Government Systems Testing 100

The Netflix TechBlog

NOVEMBER 12, 2019

Every aspect is personalized With systems driven by machine learning, it is important to measure the overall system-level impact of changes to a model, not just the local impact on the model performance itself. In Machine Learning, offline metrics are often used to measure the performance of model changes on historical data.

Metrics 100

Metrics Government Systems Testing 100

All Things Distributed

NOVEMBER 15, 2016

Today, I am very happy to announce that QuickSight is now generally available in the N. Put simply, data is not always readily available and accessible to organizational end users. Data is automatically replicated across multiple Availability Zones for redundancy and also backed up to S3 for durability.

Analytics 152

Analytics Availability Media Social Media 152

The Netflix TechBlog

JANUARY 11, 2022

Growth Advertising At Netflix, we want to entertain the world ! We don’t have unlimited traffic or time, so sometimes we have to make hard choices. In the absence of true A/B testing, our analyses rely on using the available data to adjust away spurious correlations between the treatment and the outcome metrics.

Innovation 243

Innovation Metrics Engineering Testing 243