Most enterprises have adopted the cloud today. However, many are still using it in the traditional way even though there are many cloud models such as IaaS and PaaS that can replace the entire IT infrastructure with a virtualized infrastructure. This is especially true if you are running a website or an application that has huge traffic and uses many backend technologies.
In this webinar, we will explore the challenges of cloud adoption and how to overcome them so that companies can meet their operational requirements while matching all the compliance and security policies.
We will also talk about the future of cloud computing and the latest cloud-related technologies such as edge computing, Hybrid cloud and other related topics.
The following are the answers to the questions that were asked during the live webinar.
Answer 1: All the cloud providers have services that can help you deliver live video or video on demand. As an AWS certified solution architect I can talk about how AWS works in this regard. Amazon's CloudFront service can help you deliver live video and its Transcoder will help you deliver on-demand video. There are also a bunch of other cloud services that are used in such a setup.
Answer 2: It is not an either-or scenario. As we discussed in the webinar, most of the data that is gathered will be and can be processed only on the cloud. Edge devices have limited storage and computing power so they are good for sending alerts and perform basic but critical actions. For example, shutting down the engine if it goes above a certain temperature.
However, the bulk of the data still needs to go to the cloud for root-cause analysis. The reason for this is that to carry out such analysis you need historical data in a huge quantity and a lot of processing power to sort through it. This is possible only on the cloud.
Answer 3: Okay, We should have explained this a bit more. When we say live streaming, we don’t just mean video sites where you watch TV shows and sports matches. Even industrial sites and homes are generating video content! Think about it, all the CCTV footage and security footage that is being generated is an example of “content”.
It needs to be gathered at one place, analyzed and generate actionable insights in the form of alerts when object movement is detected. This involves edge computing and traditional cloud computing.
This can be applied to public places as well. Smart cities, retail stores, public transportation are all places where nowadays we are seeing many security cameras. That means a lot of computing power will be needed to analyze traffic, security, crime, and consumers’ assets.