What does Serverless mean?
Serverless computing is a cloud computing model where developers can run their applications and functions without having to manage servers. Unlike traditional methods where servers need to be set up, maintained, and scaled, cloud providers like AWS, Google Cloud, and Azure take care of these tasks completely.
In this model, processing occurs only on demand, and users pay only for the actual computing power used instead of for a fixed server. When a request is sent, the system automatically allocates the necessary resources and releases them after processing is complete.
One of the most common implementations of serverless is the concept of Function as a Service (FaaS), which allows developers to run independent functions without having to maintain dedicated servers.
Although the term 'Serverless' literally means 'without servers', there are actually still servers in the background. The difference is that developers do not have to manage them.
Differences between Serverless and traditional architecture
Advantages of Serverless Computing
1. Cost efficiency
2. Automatic scaling
3. Less administrative effort
4. Faster development times
5. High flexibility
6. Improved security
7. Environmental friendliness and resource optimisation
8. Faster response times
9. Simple updates
10. Compatibility with modern development models
Disadvantages of serverless computing
1. Cold start issues
2. Dependency on cloud providers
3. Limited computing power
4. Complicated troubleshooting and monitoring
5. Less control over the infrastructure
Summary
Frequently Asked Questions
Is Serverless more cost-effective than traditional models?
Yes, in many cases. However, applications with consistently high computing demands may incur higher costs.
Is Serverless suitable for all projects?
No, particularly applications with strict infrastructure requirements may face challenges.
Who are the best Serverless providers?
AWS Lambda, Google Cloud Functions and Azure Functions are the most well-known providers.