Serverless vs Virtual Machines

Developers should learn Serverless for building scalable, cost-effective applications with minimal operational overhead, especially for event-driven workloads like APIs, data processing, or IoT meets developers should learn and use virtual machines to create isolated, reproducible environments for testing applications across different operating systems without needing separate physical hardware, which is crucial for cross-platform development and ci/cd pipelines. Here's our take.

Serverless

Nice Pick

Developers should learn Serverless for building scalable, cost-effective applications with minimal operational overhead, especially for event-driven workloads like APIs, data processing, or IoT

Pros

• It's ideal for microservices, sporadic traffic patterns, and rapid prototyping, as it reduces deployment complexity and optimizes costs by charging only for execution time
• Related to: aws-lambda, azure-functions

Cons

• Specific tradeoffs depend on your use case

Virtual Machines

Developers should learn and use Virtual Machines to create isolated, reproducible environments for testing applications across different operating systems without needing separate physical hardware, which is crucial for cross-platform development and CI/CD pipelines

Pros

• They are also essential for running legacy systems securely, optimizing resource utilization in cloud computing, and ensuring consistency in deployment scenarios, such as in DevOps practices
• Related to: hypervisor, containerization

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Serverless is a concept while Virtual Machines is a platform. We picked Serverless based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Serverless wins

Based on overall popularity. Serverless is more widely used, but Virtual Machines excels in its own space.