Essential Guide: Cloud Workflow Intelligent Optimization
October 13th 2021 - 09:30 AMOptimization 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.
Supported by
You might also like...
Future Technologies: Asynchronous Transport
In this first in a series of articles considering technologies of the near future and how they might transform how we think about broadcast, we begin with the potential for asynchronous transport streams.
Next-Gen 5G Contribution: Part 1 - The Technology Of 5G
5G is a collection of standards that encompass a wide array of different use cases, across the entire spectrum of consumer and commercial users. Here we discuss the aspects of it that apply to live video contribution in broadcast production.
Why AI Won’t Roll Out In Broadcasting As Quickly As You’d Think
We’ve all witnessed its phenomenal growth recently. The question is: how do we manage the process of adopting and adjusting to AI in the broadcasting industry? This article is more about our approach than specific examples of AI integration;…
Designing IP Broadcast Systems: Integrating Cloud Infrastructure
Connecting on-prem broadcast infrastructures to the public cloud leads to a hybrid system which requires reliable secure high value media exchange and delivery.
Video Quality: Part 1 - Video Quality Faces New Challenges In Generative AI Era
In this first in a new series about Video Quality, we look at how the continuing proliferation of User Generated Content has brought new challenges for video quality assurance, with AI in turn helping address some of them. But new…