In the previous part of this series, we highlighted how Connected TVs are currently asserting their position in the world of OTT, which is driving D2C streamers to seriously consider how to scale their services. But what are D2C streamers planning for our future viewing experience?
In the last article in this series, we looked at how optimizing workflows improves reliability, and enhances agility and responsiveness. In this article, we investigate advanced monitoring systems to improve data analysis and aid optimization.
Optimization gained from transitioning to the cloud isn’t just about saving money, it also embraces improving reliability, enhancing agility and responsiveness, and providing better visibility into overall operations.
One of the biggest challenges facing D2C streamers is the plethora of devices used for streaming content. These devices have an impact on content production, content delivery, content monetization, and customer management.
In order to be sustainable OTT services must be energy-efficient. As with other production processes, just in time (JIT) principles need to be maximised to find new and fundamental efficiencies for OTT content delivery.
In the second of the articles in this cloud microservices workflow series, we take a deeper look at how microservices are integrated into workflows using RESTful APIs, as well as reviewing storage deployment and accessibility “on your terms”.
Planning for any kind of live TV broadcasting starts with a ‘what-if?’ list. What if the power source fails? What if a key production person gets sick or hurt? What if broadband internet access becomes unstable? What are the chances for each ‘what-if?’ and what back-up alternatives fit the budget? The list should be as lengthy as it is easy to edit.
The power and flexibility of cloud computing is being felt by broadcasters throughout the world. Scaling delivers incredible resource and the levels of resilience available from international public cloud vendors is truly eye watering. It’s difficult to see how any broadcaster would run out of computing power or storage, even with 4K and 8K infrastructures.