Serverless why and why not?


Asynchronous, concurrent, infrequent, in sporadic demand, unpredictable variance in scaling requirements, stateless, ephemeral, and highly dynamic

Examples: Image/video processing, CICD, event streaming


You are free from: server provisioning, maintenance, updates, scaling and capacity planning

When not to use?

  • There is a lack of standardization and interoperability between cloud providers that may lead to vendor lock-in – CNCF

  • Aniszczyk explained serverless is not a good option for users that are looking at startup time and performance or trying to avoid being locked into a specific cloud platform provider.

  • Long running work loads

  • If you need advanced monitoring

  • Latency due to cold start [Download code, Start container, Bootstrap the runtime], then hot start [Start your code]