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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.
The new year is a time to ponder the past and muse about the future. In the past, nearly each technical device needed to produce broadcast TV cost more than building a new house, was as huge as it was heavy, and made pictures nobody would accept today. About 20 years ago, many analog TV stations were launching their DTV stations. Today, US TV stations are launching ATSC 3.0. Can you imagine what TV broadcasters will be doing in 2042?
In looking back at the brief history of digital audio there are a few salient points that may help us to see where the technology may go in the future.
Here we look at the science of using a matched pair of microphones positioned as a coincident pair to capture stereo sound images.
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.