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
After over a year of development and production use at Netflix, we’re excited to announce that our Continuous Delivery platform, Spinnaker, is available on GitHub. Spinnaker is an open source multi-cloud Continuous Delivery platform for releasing software changes with high velocity and confidence. Spinnaker is designed with pluggability in mind; the platform aims to make it easy to extend and enha
IntroductionWith the deluge of deep learning libraries and software innovation in the field over the last few years, it is an exciting time to be working on machine learning problems. Most of the libraries available evolved from fairly specialized computational code for large dense problems such as image classification into general frameworks for neural-network-based models offering marginal suppo
Architecture of Giants: Data Stacks at Facebook, Netflix, Airbnb, and Pinterest Here at Keen IO, we believe that companies who learn to wield event data will have a competitive advantage. That certainly seems to be the case at the world’s leading tech companies. We continue to be amazed by the data engineering teams at Facebook, Amazon, Airbnb, Pinterest, and Netflix. Their work sets new standards
Recent posts: 24 Mar 2024 » Linux Crisis Tools 17 Mar 2024 » The Return of the Frame Pointers 10 Mar 2024 » eBPF Documentary 28 Apr 2023 » eBPF Observability Tools Are Not Security Tools 01 Mar 2023 » USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon 17 Feb 2023 » USENIX SREcon APAC 2023: CFP 02 May 2022 » Brendan@Intel.com 15 Apr 2022 » Netflix End of Series 1 09 Apr 2022 » Te
Recent posts: 24 Mar 2024 » Linux Crisis Tools 17 Mar 2024 » The Return of the Frame Pointers 10 Mar 2024 » eBPF Documentary 28 Apr 2023 » eBPF Observability Tools Are Not Security Tools 01 Mar 2023 » USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon 17 Feb 2023 » USENIX SREcon APAC 2023: CFP 02 May 2022 » Brendan@Intel.com 15 Apr 2022 » Netflix End of Series 1 09 Apr 2022 » Te
“If you can cache everything in a very efficient way, you can often change the game” We software engineers often face problems that require the dissemination of a dataset which doesn’t fit the label “big data”. Examples of this type of problem include: Product metadata on an ecommerce siteDocument metadata in a search engineMetadata about movies and TV shows on an Internet television networkWhen f
by Roy Rapoport, Brian Moyles, Jim Cistaro, and Corey Bertram We’ve blogged a lot about how we use Java here at Netflix, but Python’s footprint in our environment continues to increase. In honor of our sponsorship of PyCon, we wanted to highlight our many uses of Python at Netflix. Developers at Netflix have the freedom to choose the technologies best suited for the job. More and more, developers
This new Quick Start from AWS automates the deployment of Spinnaker, which is a continuous deployment tool from Netflix Open Source Software (OSS), on the Amazon Web Services (AWS) Cloud. Spinnaker is used as a DevOps continuous delivery platform for releasing software changes. The continuous delivery process begins with the creation of a deployable asset (such as a machine image, a JAR file, or a
Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility. Within that framework they are free to operate with freedom to satisfy their mission. Accordingly, teams are generally responsible for all aspects of their systems, ranging from design, architecture, development, deployments, and opera
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