Netflix case study questions

The company was established instarted its subscription service in and by was offering a collection oftitles on DVD to over 10 million subscribers.

Netflix case study questions

Netflix case study questions

Amazon Kinesis Streams processes multiple terabytes of log data each day, yet events show up in our analytics in seconds. We can discover and respond to issues in real time, ensuring high availability and a great customer experience.

Members can watch as much as they want, anytime, anywhere, on nearly any Internet-connected screen. Application Monitoring on a Massive Scale Netflix uses Amazon Web Services AWS for nearly all its computing and storage needs, including databases, analytics, recommendation engines, video transcoding, and more—hundreds of functions that in total use more thanserver instances on AWS.

This results in an extremely complex and dynamic networking environment where applications are constantly communicating inside AWS and across the Internet.

Netflix case study questions

Monitoring and optimizing its network is critical for Netflix to continue improving customer experience, increasing efficiency, and reducing costs. In particular, Netflix needed a solution for ingesting, augmenting, and analyzing the multiple terabytes of data its network generates daily in the form of virtual private cloud VPC flow logs.

This would enable Netflix to identify performance-improvement opportunities, such as identifying apps that are communicating across regions and collocating them. The company would also be able to increase uptime by quickly detecting and mitigating application downtime.

Each log record carries information about the communications between two IP addresses. The application reads the data from Amazon Kinesis Streams in real time and enriches IP addresses with application metadata to provide a full picture of the networking environment.

Netflix uses the OLAP querying functionality of Druid to quickly slice data into regions, availability zones, and time windows to visualize it and gain insight into how the network is behaving and performing. Now we can focus on getting insights from the data rather than simply getting access to it.

Typically, about 1, Amazon Kinesis shards work in parallel to process the data stream. Although a streaming data solution is not new to the IT industry, it is an innovation in the networking space.Read the Netflix case study, powered by the AWS cloud.

AWS provides cloud computing services to hundreds of thousands of companies. Zipcar was founded in by Antje Danielson and Robin Chase, and by December offered over 8, vehicles to , members in urban areas throughout 28 north American states and provinces. Also read Netflix Case Study Assignment Conclusion Netflix is a great example of a company with a flexible business model that managed to conquer a selected market.

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