The role is to enable world cloud resources so easy to use as one single computer. We are well along the way. When we do, the entire revolutionary potential of the cloud is ultimately realised. The ability to get everything we need by clicking a button if we need it down to the millisecond. A computer architecture without a server that turns the cloud into the world’s largest computer. Without the complexities of backend provision and security management, Serverless Computing will enable all opening access practicable.
In hundreds of sites on almost every continent, there are data centres for the world’s top public clouds. In silos around the world, there are also a huge number of private computing environments. Over several years, the cloud expanded substantially to what it is today, a widely dispersed network of private and public data centres. We have to reach the point when the cloud works as if this was an infinitely powerful computer to all the development in the cloud.
Assume the ease of working only on your laptop. You have a common tool with which to operate the system. And, above all, you spend most of your time on coding. It’s far from developing in the cloud. The intricacies of AWS, Azure, GCP, IBM and private clouds must be understood for all cloud providers. You must provide cloud resources that might take some time to get online. You must also be concerned about such factors as safety, compliance, resilience, scalability and cost-efficiency. It’s quite complicated.
The operating system starts with key software abstractions. This software prolongation incorporating virtualization technology such as containers were released by Linux as the data centre operating system. That began in the period of the cloud. Serverless technology paves the path for this coming computer to access and take advantage of. The key to this is serverless technology. There are three important serverless attributes: simplicity of use, flexibility on demand and pay for what you’re using. Take for example a basic, reasonably typical data preparation operation in the cloud. However, the information may come for example from any place on the edge.
To start making everything as convenient as a command, this would take stuff on your laptop and these things are being done manually today by developers and data scientists. I gotta worry: do I get access? Will be developers permitted to make to enter the data? Where are the keys to the API? How many containers should I spin? I spend most of my time on this. But you can simplify this to just one command with a serverless, the serverless platform performs the rest below. You can even move files on your laptop with no server. This is serverless beauty.
Are you aware of one computer worldwide? It is one of the major problems in computer science because we need to tap into this enormously diverse and dispersed system at this moment. It’s time for a distributed OS which offers the common abstraction layer over these diverse and distributed cloud services. In this evolutionary fight, Kubernetes is the open technology that emerges as its winner. So you have both open technology and Linux containers, Kubernetes.