how-netflix-monitors-applications-in-near-realtime-w-amazonkinesis-abd401-reinvent-2017
How Netflix Monitors Applications in Near Real-time w Amazon Kinesis - ABD401 - re:Invent 2017 Thousands of services work in concert to deliver millions of hours of video streams to Netflix customers every day. These applications vary in size, function, and technology, but they all make use of the Netflix network to communicate. Understanding the interactions between these services is a daunting c
Culture
This document outlines Netflix's culture of freedom and responsibility. Some key points: - Netflix focuses on attracting and retaining "stunning colleagues" through a high-performance culture rather than perks. Managers use a "Keeper Test" to determine which employees they would fight to keep. - The culture emphasizes values over rules. Netflix aims to minimize complexity as it grows by increasing
PRINCIPLES OF CHAOS ENGINEERING - Principles of chaos engineering
PRINCIPLES OF CHAOS ENGINEERING Last Update: 2019 March (changes) Chaos Engineering is the discipline of experimenting on a system in order to build confidence in the system’s capability to withstand turbulent conditions in production. Advances in large-scale, distributed software systems are changing the game for software engineering. As an industry, we are quick to adopt practices that increase
Chaos Engineering Upgraded
Several years ago we introduced a tool called Chaos Monkey. This service pseudo-randomly plucks a server from our production deployment on AWS and kills it. At the time we were met with incredulity and skepticism. Are we crazy? In production?!? Our reasoning was sound, and the results bore that out. Since we knew that server failures are guaranteed to happen, we wanted those failures to happen dur
Kafka Inside Keystone Pipeline
In summary, the Keystone pipeline is a unified event publishing, collection, and routing infrastructure for both batch and stream processing. We have two sets of Kafka clusters in Keystone pipeline: Fronting Kafka and Consumer Kafka. Fronting Kafka clusters are responsible for getting the messages from the producers which are virtually every application instance in Netflix. Their roles are data co
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