Data-driven Spending in the Cloud
As more broadcast organisations consider migrating their post-production workflows to the cloud, discussions around how to optimise cloud-based workflows and manage costs effectively, is obviously a key priority.
Moving media operations to the cloud can maximise resources, and can be transformational in terms of flexibility and efficiency. Yes, the benefits are numerous, but broadcast companies remain hesitant about integrating workflows into the cloud, in part because of the perceived uncertainty around the costs of cloud working. In simple terms, efficiency in the cloud means only paying for what you consume and only consuming what you need. Taking the right approach will help achieve this.
According to the report “Cloud Production Technologies – Market Forecast 2021-2026”, from Rethink Research, cloud-based video production costs are set to triple, from $602 million in 2020 to about $2.48 billion in 2026. A data-driven approach to spending in the cloud can help to reduce unnecessary costs. As we discussed in a previous blog, provided systems integration is carefully planned, and a clear management and monitoring infrastructure is implemented, organisations can use the cloud with certainty that they are getting optimal results.
Only spend where you need to
Let’s look at data-driven spending in more detail. There are three key aspects that need to be managed effectively in order to stop cloud working costs increasing unnecessarily, these being storage, egress and scheduling.
Monitor and manage with ease
All of this needs to be monitored and managed on an ongoing basis. This is not as difficult as it sounds with the right tools in place. Our Remote Edit Dashboard provides quick and easy remote workstation deployment and management. It lets users easily deploy new remote workstations, in the time it takes to make a coffee, and what’s more, no specialist technical knowhow is required.
With the insights needed to monitor cloud usage, in terms of both storage and capacity, users can also test and report on end-user connectivity and can view active and idle resources. It provides visibility into ongoing cloud costs so the infrastructure can be managed to a budget, eliminating wasted resources.
These insights into cloud costs, more or less in real time, give companies the knowledge needed to build and maintain a cost efficient virtual post-production environment. Having the right tools that allow you to analyse and interpret your system data, means you can make informed decisions and only spend in the cloud where you need to, saving money where you don’t.
Lack of visibility combined with inadequate cloud infrastructure, means managing workstations is a real pain point when it comes to remote editing. Cloud-based monitoring helps to make workflows more streamlined, and more cost effective. With the Remote Edit Dashboard, a post-production manager/co-ordinator can see all of the workstations that are in use, adjust accordingly based on usage, then track and monitor workflows to make them as efficient as possible.
If you want to monitor and manage your cloud-based editing to improve workflow efficiency and reduce costs, find out more details about our Remote Edit Dashboard here.