Report about Netflix application

            Since 1997, Netflix leading the ways for digital context. Netflix is the leading company in the world that provide internet entertainment services with the support of paid membership of 130 million and more than 190 countries are enjoying the feature films, documentaries and TV series with a huge variety of languages and genres. Member of this site can watch their favorite shows or programs at any time at any place with the internet connected screen and enjoy their programs without any disturbance. Their programs are free from commercials and they can pause, resume and play during watching of programs. (media.netflix.com, 2019)

        Netflix can change to concept of television. Netflix video streaming provide on demand programs with the help of internet Instead of watching what on viewers can select the program and what and when going to watch. The portal key task is to cultivating a library of programs for the subscribers and provides them all the programs and shows that they want to watch. This can be adopted different type of strategies for the business so it provides different methods to watching the programs. Subscriber funded done by Netflix. Monthly fee paid by subscribers to get access to the library of programs.

        HBO also depend on its subscribers and many programs distinctiveness can be explaining with it more conveniently. Subscriber funded services are provide a huge number of programs to watch that subscribers find the excellent services with reasonable monthly fee. No any mass audience required by show and subscriber continue to pay against the service does need to provide enough value. By offering a very specific type of programming, many portals provide this value. Netflix adopt conglomerated niche strategy that manages the interest of different audience at the same time. And this happen with the help of internet distribution that help Netflix to serve them at large scale. (http://theconversation.com, 2017)

Architectural Overview of Netflix application

        The aka Decider service, which is a state machine at the heart of engine. Decider combines the workflow blueprints along with the workflow’s current state, as workflow event started, the next state is identified and workflow updates the tasks and schedules the conditions according to the workflow at that time. To manage schedule tasks decider works with a distributer queue. For managing distributed delayed queues, we have been using Dyno-queue on top of Dynomite.

Task Worker Implementation of Netflix application

        With different clients along with the ease of integration using HTTP the HTTP are exposed over HHTP. However, straightforward and possible thing is that another protocol is added in the loop. For indexing the execution flow, along with Elastic search we use Dynomite as a storage engine. Including traditional RDBMSs or Apache Cassandra like no-sql stores, the storage APIs are pluggable and can be adapted for various storage system. (Workflowengine.io, 2019)

Encode and deploy workflow of Netflix application

The following three elements are included in the tasks or you can say involved in the task:

Content Inspection:

For correctness/completeness at input location it checks the file.

Encode:

a video encode is generated through it.

Publish:

CDN got publications

 Using the task APIs these three tasks by different workers are implemented while polling for the pending tasks. The input given to the task being operated by it and these tasks are ideally idempotent to perform work, the status back are updated by it also. Decider combines the workflow blueprints along with the workflow’s current state, as workflow event started, the next state is identified and workflow updates the tasks and schedules the conditions according to the workflow at that time. (Netflix Technology Blog, 2016)

               The following three elements are included in the tasks or you can say involved in the task:

Content Inspection:

For correctness/completeness at input location it checks the file.

Encode:

a video encode is generated through it.

Publish:

CDN got publications

        Using the task APIs these three tasks by different workers are implemented while polling for the pending tasks. The input given to the task being operated by it and these tasks are ideally idempotent to perform work, the status back are updated by it also. Decider combines the workflow blueprints along with the workflow’s current state, as workflow event started, the next state is identified and workflow updates the tasks and schedules the conditions according to the workflow at that time. (Netflix Technology Blog, 2016) 

        For the troubleshooting and monitoring of the workflow execution, UI is the primary mechanism. Searches based on various parameters are visible and its visibility is being provided by UI and these parameters includes output/input parameters, a visual presentation of blue prints, and taken paths of it, in order to get the actual workflow execution in the loop. The following details are provided by UI of every task execution:

When the task was scheduled picked up by the worker and completed timestamps.

The reason for failure to explain if a task gets failed

The attempts number that are done to accomplish the task.

The task executed on which host it was explained.

Output from the task upon completion and the input that is provided to the task.

This kitchen sink is used to generate the workflow from the kitchen sink.

Development & Deployment Flow of Netflix application

    Across all of our AWS regions from feature inception to global deployment the following diagram illustrates the logical flow of code. About system’s stability, feature correctness and about confidence more insight is being provided with each successive step, about the goodness of the code each phase in the flow provides feedback. The flow we follow today can be pretty much described by us which we are going to mention down, with having a look at our continuous integration and deploy flow. Tooling gives us insight into code as it moves one state to another, hence most of the pipeline is automated. (Motroc, 2016)

Netflix's Circuit Breaker of Netflix application

        A circuit breaker that is worked in the houses is the same pattern of Netflix circuit breaker. For a circuit break object is designed on a remote call for a circuit, as the failures are monitored by that circuit. The circuit breaker trips when these failures reach a certain limit, your system can disarm the service when all this happens, while a warning is being provided to you that your circuit can be tripped when all this happens. Hystrix is a tool created by Netflix that implements the circuit breaker to standard this ease into place, spring cloud helps a lot. (Netflix Technology Blog, 2015)

Conclusion of Netflix application

        A vigilant support of millions of connected devices is helpful for making the Netflix successful. The members of Netflix consume the content more than one billion hours. The system environments of Netflix are highly distributed, complex and large according to operational perspective. Status of the system not operated by human at every time. It is very difficult to consume couple of expectational tools with intelligence analysis to detect and operate and communicate the system actively and identify area of improvement and determine the faults. System oriented tools are used within the system. With the perspective of system, tools are building providing the metrics.

        Rich and relevant context is desirable features of tools that used for system. In other words, the operational visibility including real time insight provide a deep understanding of our operational system, service improvement, and make product, and quickly find out and resolve the problems so Netflix innovate rapidly without any disturbance and at every interaction  delight our customers. A new set of tools and system are going to develop for operational visibility with powerful insight capabilities of Netflix. So Netflix is a good replacement of television and provide best facility to watching different programs and documentations and films with a huge variety.

        Its subscriber enjoys its best quality services and satisfied with its performance against some monthly charges. With such type of facilities, we can see any show in all over the world and also observe the life of other people.netflix using intelligent and effective tools and methodologies that provide and make the system more active and fast and give response to its subscriber in the shortest time period by making its efficiency more quick and fast. Netflix is very helping facility with the support of internet and entertain its viewers at every time and at every place.    (Ranjit Mavinkurve, 2014)

        Netflix can change to concept of television. Netflix video streaming provide on demand programs with the help of internet Instead of watching what on viewers can select the program and what and when going to watch. The portal key task is to cultivating a library of programs for the subscribers and provides them all the programs and shows that they want to watch.

 References of Netflix application

http://theconversation.com. (2017, april 5). The unique strategy Netflix deployed to reach 90 million worldwide subscribers. Retrieved from http://theconversation.com/the-unique-strategy-netflix-deployed-to-reach-90-million-worldwide-subscribers-74885

media.netflix.com. (2019). About Netflix. Retrieved from https://media.netflix.com/en/about-netflix

Motroc, G. (2016, December 16). Netflix open-sources Conductor, a microservices orchestration engine. Retrieved from https://jaxenter.com/netflix-open-sources-conductor-a-microservices-orchestration-engine-130751.html

Netflix Technology Blog. (2015, January 20). Introducing Surus and ScorePMML. Retrieved from https://medium.com/netflix-techblog/introducing-surus-and-scorepmml-8179aea5f370

Netflix Technology Blog. (2016, December 12). Netflix Conductor: A microservices orchestrator. Retrieved from https://medium.com/netflix-techblog/netflix-conductor-a-microservices-orchestrator-2e8d4771bf40

Ranjit Mavinkurve, J. B. (2014, jan 16). Improving Netflix’s Operational Visibility with Real-Time Insight Tools. Retrieved from https://medium.com/netflix-techblog/improving-netflixs-operational-visibility-with-real-time-insight-tools-ab5e7af062e5

Workflowengine.io. (2019). WORKFLOW ENGINE VS. STATE MACHINE. Retrieved from https://workflowengine.io/blog/workflow-engine-vs-state-machine/