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Netflix Play API: Building an Evolutionary Architecture
At QCon SF, Suudhan Rangarajan presented “Netflix Play API: Why We Built an Evolutionary Architecture”. Key takeaways included: services that have a single identity/responsibility are easier to upgrade; spend time identifying core decisions that need to be made when building a service; and designing an “evolutionary architecture” using tools like fitness functions provides many benefits.
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The Evolution of Full Cycle Developers at Netflix: Greg Burrell at QCon SF
At QCon San Francisco, Greg Burrell talked about the journey towards “full cycle developers” within the Netflix edge engineering team. Following the principle of “operate what you build”, developers within this team chose to take on more operational responsibility for their services, and were facilitated by comprehensive tooling, training and management support.
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Building Resilience in Netflix Production Data Migrations: Sangeeta Handa at QCon SF
At QCon SF, Sangeeta Handa discussed how Netflix had learned to build resilience into production migrations across a number of use cases. Key lessons learned included: aim for perceived or actual zero downtime, even for data migrations; invest in early feedback loops to build confidence; find ways to decouple customer interactions from your services; and build independent checks and balances.
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Netflix Keystone Real-Time Stream Processing Platform
Netflix recently published a post in their tech blog discussing the design considerations and insights of Keystone, their Real-time stream processing platform. Keystone has been operational since December 2015 and has grown significantly over the years as Netflix subscribers have grown from 65 to over 130 million in the past 3 years. This article follows on the latest state of Keystone platform...
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Scaling Push Messaging for Millions of Devices @Netflix - Susheel Aroskar at QCon NY
Susheel Aroskar from Netflix's Engineering team spoke at the recent QCon New York 2018 Conference about Zuul Push, a scalable push notification service that asynchronously pushes data like personalized movie recommendations from cloud to devices.
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Full Cycle Developers at Netflix: from Mindsets to Self-Service Tooling
The Netflix Tech Blog has shared the story of the “Edge Engineering” team’s journey of experimenting with approaches to building and operating services, which has culminated in “Full Cycle Developers”. This approach is showing promise with Netflix, where developers are responsible for certain operational aspects of service delivery, and are supported through a range of self-service tooling.
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Netflix Open Sources Its Container Management Platform "Titus"
Netflix announced the open sourcing of their container management platform called Titus. Titus is built on top of Apache Mesos and runs on AWS EC2.
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Designing Services for Resilience: Nora Jones Discusses Netflix Chaos Engineering at QCon SF
At QCon SF Nora Jones presented “Designing Services for Resilience Experiments: Lessons from Netflix”. Key takeaways from the talk included: the customer experience is a priority; designing for resiliency testability is a shared responsibility; configuration changes can cause outages; and engineers should have have explicit monitoring in place to detect antipatterns in configuration changes.
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QCon New York 2017: Scaling Event Sourcing for Netflix Downloads
Phillipa Avery, senior software engineer at Netflix, and Robert Reta, senior software engineer at Netflix, presented their Cassandra-backed event sourcing architecture at QCon New York 2017. Currently, it powers the download feature in Netflix, and was summarised as something which improved the flexibility, reliability, scalability and debuggability of their services.
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Choose Your Own Adventure: Chaos Engineering at QCon New York 2017
Nora Jones, senior chaos engineer at Netflix, talked about chaos engineering at QCon New York 2017. She presents different stages of chaos engineering adoption and gives stories from her previous experiences at Jet and Netflix.
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Netflix: Application DDoS Protection in Microservice Architectures
Strategies for mitigating application DDoS in microservice architectures have just been published in a blog by Netflix. It includes an overview of how to identify requests which trigger these attacks, how to test them with their open source Repulsive Grizzly and Cloud Kraken frameworks, and finally some best practices for protecting a system from them.
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A Series of Unfortunate Container Events at Netflix: Andrew Spyker and Amit Joshi at QCon NYC
At QCon New York 2017, Andrew Spyker and Amit Joshi presented “A Series of Unfortunate Container Events at Netflix”. Key takeaways from running production workloads within containers running on the AWS Cloud include: expect problematic containers and workloads; there is continued need for cloud to evolve for containers; and it has been worth the effort due to value containers unlock.
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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.
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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.
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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.