Demystifying serverless in the modern data and AI landscape
Briefly

The article discusses three major misconceptions surrounding serverless architectures, emphasizing that true serverless computing eliminates the need for infrastructure management, does not require provisioning or tuning, and inherently allows for auto-scaling without the complexities of cluster management. Instead of merely shifting management burdens onto developers, serverless architectures should offer a clear separation between compute and storage, allowing for flexibility in resource use. Providers should shoulder complexity to maintain a truly serverless environment, enabling instantaneous scaling of resources to meet demand and reverting to zero when not in use.
Auto-scaling compute alone doesn’t make something truly serverless; without eliminating infrastructure management, it cannot meet the serverless standard.
Many platforms falsely advertise as serverless while still demanding some level of cluster management, which complicates the developer experience rather than alleviating it.
True serverless architectures require a decoupling of compute and storage, obliterating provisioning and capacity planning responsibilities for users, streamlining deployment.
Elasticity should be inherent to serverless design, enabling resources to scale automatically with demand and return to zero when not in use.
Read at InfoWorld
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