Build an effective monitoring framework to ensure high performance of microservices-based streaming services
The multi-fold increase in video content consumption and the different types of devices like mobiles, laptops, and smart TVs used to consume this content have made service providers move towards microservices. Most of the forward-thinking service providers have started adopting microservice-based architecture for the Video-on-Demand (VoD) services to handle the huge number of requests with minimum response time. Further, it enables scalability and continuous deployment of complex applications, thus providing uninterrupted entertainment services. Adoption of microservices-based applications helps to reap benefits such as:
- Deliver video at scale to meet billions of customer requests each day
- Handle the load spikes efficiently during special events (e.g. Premier League football games)
- Ensure reliable delivery and availability of video content services
- Implement auto-scaling algorithms to save cost by running at optimum capacity during silent hours
The adoption of microservices-based applications helps service providers to deliver entertainment services at scale, meeting billions of customer requests each day.
However, monitoring microservice-based applications is a highly complex task as a single application runs on multiple hosts in a very dynamic environment. It also needs to interact with several other systems that are dynamic. Implementing the right toolchain is critical for effective performance monitoring of microservice-based applications.