Redis实现视频流跳跃解决方案（redis跳跃视频）

Recently, with the popularity of OTT and live broadcast, the storage and access requirements for video streams have become more and more urgent. In this paper, we propose an innovative video stream solution based on redis to solve the problem of video stream interruption.

With the popularity of cloud computing, many video streaming services are also transitioning to cloud infrastructure. Therefore, it is necessary to ensure the stability and quality of video streaming services. The traditional solution relies on a large-capacity central storage to ensure the smooth streaming experience. But this method is no longer adapted to the cost-sensitive cloud environment, and its cost is too high.

In order to solve this problem, we propose a video streaming solution that uses the Redis distributed memory storage system. Redis is an open source, distributed key-value storage system. It’s efficient, cost-effective and highly avlable. Therefore, it is very suitable for video streaming services.

We use the following steps to implement the video streaming solution:

1. According to the characteristics of the video streaming service, design the cache layer. Use Redis to cache the static resources (such as the bit stream files) of the video streaming service, and configure the expiration time of the cache.

2. Use Redis’s data sharding feature to scale out the cache layer. It’s easy to scale based on the amount of traffic.

3. Finally, use the read/write separation feature of Redis to optimize read/write performance.

Through the above steps, we can build a distributed caching layer that is highly efficient and cost-effective. This layer can not only ensure the continuity of video streaming, but also reduce the cost of infrastructure.

\#Example Of Redis’s Data Sharding

redis-cli –cluster create 127.0.0.1:7000 127.0.0.1:7001 127.0.0.1:7002 –cluster-replicas 1

In this way, we can realize the distributed storage of the video streaming service and optimize the cost, improve the stability and scalability of the service and improve the user experience.

This video streaming solution based on Redis solves the problem of video stream interruption. It keeps a large amount of static resources in Redis to reduce the cost of the architecture, and also has a smooth streaming experience for users. Therefore, it is a good video streaming solution to meet the current requirements.