Microservices targets the problems of monolith software design by encouraging separation of concerns ([11]) in which big programs are broken into smaller software components by modularity with data encapsulation on its own. Write Interview Netflix realized that it needs a more reliable infrastructure with no single point of failure. The diagram in Figure 2 represents a possible microservices architecture at Netflix which I have derived from several online sources ([11, 13, 14]): The described architectures help us get a general understanding of how different pieces organize and work together to stream videos. I start with the list of most important design goals as follows: In the subsections, I am going to analyze the availability of the streaming service and its corresponding optimal latency. In a recent blog post series, engineers from Netflix describe their journey and the lessons learned in the process. In order to support both lightweight and heavy workloads running on the same underlying infrastructure, Netflix has chosen microservices architecture for their cloud based system. Sum and product of K smallest and largest Fibonacci numbers in the array, Analysis and Design of Combinational and Sequential circuits, Generate an array of given size with equal count and sum of odd and even numbers, Similarities and Difference between Java and C++, Websites and Software that help HTML, CSS And JavaScript Developers, Need of Data Structures and Algorithms for Deep Learning and Machine Learning. By controlling their apps and other devices through its SDK, Netflix can adapt its streaming services transparently under certain circumstances such as slow networks or overloaded servers. A Play request is sent from the client device to Netflix’s Playback Apps service running on AWS EC2 to get URLs for streaming videos. Steering service uses the client’s IP address and ISPs information to identify a set of suitable OCAs work best for that client. As I have described in previous sections, Backend handles almost everything, ranging from sign up, login, billing to more complex processing tasks such as video transcoding and personalized recommendations. Better Fault Isolation for More Resilient Applications With a microservices architecture, the failure of one service is less likely to negatively impact other Some common failures that the system have been addressed as follows: A failure in resolving service dependencies. A microservice architecture enables organizations to carry out continuous delivery/deployment of large, complex applications to further evolve their technology stack. More specifically, on top of thousands of these instances, Netflix has built Titus ([17]), an open source container management platform, to run about 3 million containers per week. Microservices - also known as the microservice architecture - is an architectural style that structures an application as a collection of loosely coupled services, which implement business capabilities. Each request will be blocked by a dedicated thread handler which places Hystrix commands such as getCustomerInfo, getDeviceInfo, etc. The solution was accomplished using Amazon Web Service (AWS), which promised to provide large computing resources and data centers with guaranteed security and reliability. Backend includes services, databases, storages running entirely on AWS cloud. Microservices can respond to Play AI with data in cache in case the call to outside services or data stores takes more time than expected. To optimize the latency over large write requests, Cassandra is used because of its eventually consistent ability. Microservices are completely disrupting the way we build applications nowadays. Microservices Architecture: Use Cases. By utilizing the cloud infrastructure built and maintained by AWS, Netflix did not do the undifferentiated heavy lifting work of building data centers but focusing more on its core business of providing high quality video streaming user experience. The diagram in Figure 4 represents an open-sourced Zuul, an implementation of API Gateway created by Netflix team. Then in section 2.2, a more detailed microservices architecture of Backend will be described to demonstrate how Netflix handles availability and scalability at global scale. What was your GATE (CSE) preparation story? Let’s find out what companies are using microservice architecture and their use case. Netflix, which is a very popular video streaming service that’s responsible for up to 30% of Internet traffic, has a large scale, service-oriented architecture. One of the reasons why Netflix is an interesting company to talk about is that they are considered as one of the role models for modern cloud-based companies through the use of Microservices architecture. Netflix team has spent a lot of time designing the Application API component since it is correspondent to Netflix core business functionalities. As of December 2015, the If you design your services using an event-driven model, you can ensure that parts of your application continue to work, while other parts may not be involved, as opposed to the entire application becoming unresponsive. Not only did Netflix perfect the use of microservices but it also managed to open source many of the tools which were used to build it. Zuul is used extensively for routing traffic for different purposes such as onboarding new application API, load tests, routing to different service endpoints under huge workloads. Writing code in comment? When subscribers click the Play button on their apps or devices, the Client will talk to both Backend on AWS and OCAs on Netflix CDN to stream videos ([7]). All this could be achieved because the Netflix Platform SDK on Client keeps tracking the latest healthy OCAs retrieved from Playback Apps service (Figure 1). Netflix is one of the most popular online media service provider and production companies in the world right now. In our system design, the availability of streaming services depends on both the availability of Backend services and OCAs servers keeping the streaming video files. Josh provides a deeper dive into the detail of the architecture componentsat InfoQ. First of all, during the entire migration process, Netflix had to keep both its cloud servers and its in house servers running to ensure smooth working during this transition period. It also needs to be scalable, highly available under high request volume. There are several types of API corresponding to different user activities such as Signup API, Recommendation API for retrieving video recommendation. In section 2.1, an overall architecture is capable of streaming videos, called playback architecture, after a subscriber clicks the Play button on his or her apps. In order to localize traffic of watching Netflix videos to the customers’ network, Netflix has been in partnership with Internet Service Providers (ISPs) and Internet Exchange Points (IXs or IXPs) around the world to deploy specialized devices called Open Connect Appliances (OCAs) inside their network ([7]). The client would immediately switch to other nearby OCAs servers with most reliable network connection if there is a network failure to the current selected OCA server or that server is overloaded. The data coming out of the Stream Processing Pipeline can be persistent to other data stores such as AWS S3, Hadoop HDFS, Cassandra, etc. By December 2011, Netflix had successfully migrated its entire operation to the cloud – from a monolithic to a then-unknown territory of microservice architecture. Netflix was an early adopter of microservices. Netflix was one of the first organizations to play around with a microservices architecture. You can see Zuul for the API Gateway, Eureka for Service Discovery. The stream processing platform has processed trillions of events and petabytes of data per day. Both systems must work together seamlessly to deliver high quality video streaming services globally. Way back in 2009, the company started their transition from a traditional development model with 100 engineers producing a monolithic DVD … This AWS service automatically spins up more elastic instances if the request volume increases and turns off unused ones. 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