Cloud Native Technologies vs Serverless Computing

Developers should learn and use Cloud Native Technologies when building applications that require high scalability, resilience, and rapid deployment, 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 Technologies

Nice Pick

Developers should learn and use Cloud Native Technologies when building applications that require high scalability, resilience, and rapid deployment, such as in e-commerce, SaaS platforms, or IoT systems

Pros

• It is essential for modern DevOps and site reliability engineering (SRE) roles, as it supports continuous integration and delivery (CI/CD), reduces infrastructure costs, and improves fault tolerance in distributed environments
• Related to: kubernetes, docker

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 Technologies is a methodology while Serverless Computing is a platform. We picked Cloud Native Technologies based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Cloud Native Technologies wins

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