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  • The "Paved Road" PaaS for Microservices at Netflix: Yunong Xiao at QCon NY

    At QCon New York 2017, Yunong Xiao presented “The Paved PaaS to Microservices at Netflix” which discussed how the Netflix Platform as a Service (PaaS) assists with maintaining the balance between the culture of freedom and responsibility and the overall organisational goals of velocity and reliability.

  • Netflix Introduces Hollow, a Java Library for Processing In-Memory Datasets

    Netflix recently introduced Hollow, a Java library and toolset for processing in-memory datasets that aren’t characterized as “big data.” A single producer provides datasets from which many consumers have read-only access. The communication mechanism between producer and consumer includes real-time dataset changes.

  • Netflix Conductor, an Orchestration Engine for Microservices

    Netflix has developed an orchestration engine called “Conductor”, and has used it internally in production for the last year . During this time they executed some 2.6 million process workflows, starting with linear ones and ending with dynamic ones running over multiple days. Now they have open sourced Conductor, making it available to all those interested in workflow orchestration.

  • Chaos Monkey 2.0 Runs via Spinnaker

    Netflix has recently made available the source code of the Chaos Monkey 2.0. The latest iteration of the resilience tool is fully integrated with Spinnaker and event tracking systems, but the SSH support has been removed.

  • Spring Cloud Brixton.RELEASE Reaches General Availability

    On May 11th, 2016 Pivotal announced that their latest release of Spring Cloud has reached General Availability (GA). InfoQ recently had the chance to chat with Pieter Humphrey, consulting product marketing manager at Pivotal, to gain further insight into this release and the state of their platform.

  • “Monkeys in Labs Coats”: Applied Failure Testing Research at Netflix

    At QCon London 2016 Peter Alvaro and Kolton Andrus shared lessons learned from a fruitful collaboration between academia and industry, which ultimately resulted in the creation of a novel method for automating failure injection testing at Netflix. Core learnings included: work backwards from what you know; meet in the middle; and adapt the theory to the reality.

  • Creating Microservice Deployment Pipelines with Netflix’s Spinnaker: A Perspective from Google

    At the microXchg 2016 conference, held in Berlin, Rick Buskens presented “Microservice Deployment Pipelines with Spinnaker”, which discussed the collaboration between Netflix and Google on the Netflix-conceived Spinnaker continuous delivery platform. Spinnaker can be used to create build pipelines for safe and predictable deployment of microservice applications across multiple cloud providers.

  • Benchmarking Netflix Dynomite with Redis on AWS

    Last year, Netflix Cloud Database Engineering (CDE) team introduced Dynomite. Dynomite is a proxy layer, aiming to turn any non-distributed database into a sharded, multi-region replication aware distributed database system. Now Netflix released a benchmark using Dynomite with Redis in AWS infrastructure.

  • Structure 2015 - State of the Cloud and Container Ecosystems

    Rising from the ashes of GigaOm the tribal gathering of cloud elders that is Structure has returned, and got off to a strong start with Battery Ventures' Adrian Cockcroft presenting on the State of the Cloud and Container Ecosystems. Cockcroft paid particular attention to the impact of containers, which wasn’t even a major discussion topic at the last Structure conference in 2013.

  • Daniel Jacobson on Ephemeral APIs and Continuous Innovation at Netflix

    InfoQ had the opportunity to interview Daniel Jacobson about ephemeral APIs, their link to experience-based APIs and when to consider them. He also explains why generic resource-based API architectures can run into problems at scale and why he doesn’t use an API descriptor language. Finally, he describes the various tools they built to deliver those APIs including Falcor, Scryer or Nicobar.

  • Pivotal Cloud Foundry Adds Netflix OSS Services, Docker Support

    Today, Pivotal announced an update to Pivotal Cloud Foundry (PCF), the commercial version of a popular open-source platform for building, deploying, and running cloud-native applications. This 1.6 release gives developers native access to a subset of Spring Cloud’s Netflix OSS services, built-in support for .NET applications, beta support for Docker images, and integrated ALM tools.

  • Netflix’ Principles of Chaos Engineering

    Based on their experience with arbitrarily shutting down servers or simulating the shutdown of an entire data center in production, Netflix has proposed a number of principles of chaos engineering.

  • Getting JSON Data with Netflix Falcor

    Netflix has open sourced Falcor, a JavaScript library offering a model and asynchronous mechanism for fetching JSON data from multiple sources.

  • Building 'Failure as a Service' at Netflix without the Simian Army

    At QCon New York 2015, Kolton Andrus discussed Netflix’s Failure Injection Testing (FIT) platform, which allows the injection and monitoring of arbitrary failure scenarios to a targeted group of customers using the Netflix production web services. FIT allows Netflix to maintain an ‘antifragile’ programming culture, which results in the creation of systems that are resilient to failure.

  • Netflix's FIDO Guards Against Security Incidents

    The Netflix team has released FIDO -- an open source system for automatically analysing security events. Not to be confused with FIDO Alliance, Netflix's platform stands for Fully Integrated Defense Operation, the platform's Github describes FIDO as "an orchestration layer used to automate the incident response process by evaluating, assessing and responding to malware."

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