Differences Between Server and Serverless Architecture
Here’s a comparison between server and serverless architectures presented in a tabular form:
| Aspect | Server Architecture | Serverless Architecture |
|---|---|---|
| Infrastructure Management | Developers manage underlying servers or VMs. | Cloud provider manages infrastructure (servers). |
| Resource Allocation | Resources provisioned based on anticipated workload. | Resources dynamically allocated based on demand. |
| Scaling | Scaling typically involves manual or automated processes. | Automatic scaling based on workload fluctuations. |
| Cost Model | Costs include upfront investments and ongoing management. | Pay-per-use pricing model based on function invocations. |
| State Management | Applications maintain state on server side. | Serverless functions are stateless by design. |
Server vs. Serverless Architecture
There are two main ways to run applications in the cloud: traditional servers and serverless computing. Traditional servers require you to manage everything, from hardware to scaling. Serverless computing lets you focus on writing code, with the cloud provider handling the infrastructure. Each has its pros and cons, depending on factors like cost, scalability, and complexity. This article compares both approaches, helping you decide which is right for your project.
Important Topics for Server vs. Serverless Architecture
- What is Server Architecture?
- What is Serverless Architecture?
- Differences Between Server and Serverless Architecture
- Use Cases of Server Architecture
- Use Cases of Serverless Architecture
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