Cloud Native Applications vs Serverless Computing

Developers should learn cloud native principles when building modern, scalable applications that need to handle variable workloads and ensure high availability, such as in e-commerce, SaaS platforms, or IoT systems meets developers should learn serverless computing for building scalable, cost-effective applications with minimal operational overhead, especially for microservices, apis, and event-driven workflows. Here's our take.

Cloud Native Applications

Nice Pick

Developers should learn cloud native principles when building modern, scalable applications that need to handle variable workloads and ensure high availability, such as in e-commerce, SaaS platforms, or IoT systems

Pros

• It is essential for teams adopting DevOps practices, as it facilitates automation, faster release cycles, and efficient resource utilization in cloud infrastructures like AWS, Azure, or Google Cloud
• Related to: microservices, kubernetes

Cons

• Specific tradeoffs depend on your use case

Serverless Computing

Developers should learn serverless computing for building scalable, cost-effective applications with minimal operational overhead, especially for microservices, APIs, and event-driven workflows

Pros

• It's ideal for use cases with variable or unpredictable traffic, such as web backends, data processing pipelines, and IoT applications, as it automatically scales and charges based on actual usage rather than pre-allocated resources
• Related to: aws-lambda, azure-functions

Cons

• Specific tradeoffs depend on your use case

The Verdict

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

The Bottom Line

Cloud Native Applications wins

Based on overall popularity. Cloud Native Applications is more widely used, but Serverless Computing excels in its own space.