Examples of using Serverless computing in English and their translations into Chinese
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Serverless Computing.
More important,AWS also fully aligns with EF's goal of achieving serverless computing.
Serverless computing isn't really serverless. .
As with the microservice/container scenario, serverless computing bypasses the virtual machine layer and functions run on bare metal.
Serverless computing has developed as a key element for deploying cloud applications and services.
Abby Kearns: According to our most recent research,46 percent of IT decision makers are using or evaluating serverless computing.
The ability to link serverless computing with both net-new and traditional applications.
Customers use S3 as a bulk repository, or"data lake," for analytics; backup& recovery;disaster recovery; and serverless computing.
Google wants to make serverless computing easy enough for even the enterprise to use.
To learn more about how AWS Lambda can help you perform real-time file processing,visit our serverless computing details page.
Some people consider serverless computing, also known as function as a service(FaaS) to be a form of PaaS.
When Amazon introduced AWS Lambda in 2014, it signaled a potentially game-changing direction for cloud-function as a service(FaaS), or serverless computing.
Finally, we have serverless computing(also known as functions as a service or FaaS) which takes PaaS to the next level.
A stateless application running on a container-as-a-service(CaaS)environment today might very well need to shift over to a serverless computing framework tomorrow.
The modern age of serverless computing began with the launch of AWS Lambda, a platform based on Amazon's cloud service, in 2014.
Gartner estimates that more than 20percent of global enterprises will deploy serverless computing technologies by 2020, an increase from fewer than 5 percent today.
The serverless computing market is expected to reach $7.7 billion in the next three years, and the top cloud providers are competing head on.
How blockchain, NLP, AI-driven tools, machine learning, serverless computing, and devops innovations will change life for developers in 2018.
The serverless computing is a cloud computing execution model which means that the cloud provider is managing the distribution of computer resources dynamically.
According to the RightScale 2018 State of the Cloud report, serverless computing is the number one growing cloud service with a steady growth rate of 75%.
Serverless computing makes launching applications cheaper and faster by letting companies focus on the customer value without having to worry about deployment and scaling.
The next big paradigm shift definitely comes with serverless computing- it's another level of abstraction that makes creating new applications easier and quicker.
While the term serverless computing is popping up more recently, the IEEE-CS doesn't expect to see significant adoption for another couple of years.
Nevertheless, by adopting serverless computing like AWS Lambda, this functionality can be developed within just a few hours.
Two new technologies, Serverless Computing and Robotics, have been ranked in the top 10 to replace Automation and Quantum Computers in the 2019 list.
According to East, serverless computing has been of interest not only to National Geographic alone, but it provides a useful case study for media companies.
That's the idea behind serverless computing, a relatively new approach to software development that assembles applications out of snippets of code on the fly.
This could be to take advantage of serverless computing services for compute-intensive operations, or for workloads which require the added security of private cloud.
Function-as-a-Service(FaaS): FaaS, also known as serverless computing, breaks cloud applications down into even smaller components that only run when they're needed.
While AWS Lambda pioneered serverless computing, there are now multiple open-source projects building serverless frameworks that can be used in multicloud deployments.