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.
Transitioning to the cloud is a lesson in data analytics. Managing resource requirements becomes much easier when an in-depth understanding of the intricacies of workflow processes are known. Agile software development methodologies have released a massive number of metadata measurements that can be used by systems analysts to build cloud optimized broadcast infrastructures.
As workflows are analyzed and moved process by process into the cloud, an opportunity to assess working practices is presented, where old systems can be removed, and new dynamic and scalable practices introduced.
This Essential Guide provides an in-depth discussion of cloud workflow intelligent optimization. Sponsors SDVI present a case study from Sky describing the challenges of cloud integration and how cloud optimization was achieved.
Download this Essential Guide now if you are an engineer, technologist, or their manager, and you need to understand how to integrate your broadcast workflow into the cloud and achieve optimization and safe operation.
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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.
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