Utilizing that based on serverless computing resources to meet demand is a recent trend, but should you jump in?
So what is Serverless Computing? “Serverless Computing is a cloud enforcement model in which cloud providers dynamically manage the allocation of machine resources, the price of which is based on the actual number of resources that the application Use instead of pre-paying a certain amount over a period of time”the meaning from Wikipedia.
In addition, a Serverless Computing can also be interpreted as the way we build up the available applications, ready to listen and respond to the events provided by the services.
Serverless computing concept under technical perspective?
Serverless computing, also known as Function-as-a-Service (FaaS), is a computer model on the cloud, which helps to execute programmers code that is pushed up in stateless computers. (status / non-state storage), event-triggered / triggered, temporary operation (possibly only for one use), and completely managed by the 3rd party. cloud service provider. With serverless architecture, programmers only need to focus on writing logical code without having to worry about running the server so that the logic code runs.
Serverless computing is introduced alongside services such as AWS Lambda or Microsoft’s Azure Functions. They are not really a ‘no server’ system, but actually this server is not a device you buy or it costs to maintain. In theory, this system is advertised as a resource you can use without using the server.
The most popular question is where are the advantages and disadvantages of serverless computing? Here are a few ideas:
Serverless Computing is a cloud enforcement model
The strength of serverless computing
First, with serverless computing, we do not need to decide on which server to run for dynamic and flexible. Serverless computing will take care of that.
Second, using serverless computing will help you save costs over time. Cloud providers will manage the resources you need, and hopefully not allocate resources you do not need. As such, the cost will be cut if both you and the cloud providers are doing exactly the job of each party.
The downside of serverless computing
Serverless computing is a great idea but not perfect. Performance can be a problem. The model itself can cause greater latency in the way computing resources respond to application commands. If customers demand high performance, the use of distributed virtual servers will be a superior option.
The work of monitoring and debugging of serverless computing is also quite difficult. Your failure to use a unified server resource makes both of these activities more difficult. (The good news is that this tool will gradually be improving processing and better debugging in non-server environments.)
Advantages outweigh the downside
So should you use serverless computing? The answer is yes. Amazon Web Services, Google, and Microsoft are all focusing more on their serverless services. For example, AWS recently provided some pretty up-to-date information for Lambda. There are also many other companies with similar intentions.
As the data load continues to increase, it is hoped to see serverless computing become a standard approach to reducing the load of functions to execute closer to end users and devices. By reducing costs, latency, time to market, and complexity, no server model is ready to become a major factor of application space.