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Serverless Computing Challenges and Optimizations

2 posts · Oct 2022

What this trail covers

Serverless computing, as realized in the case of Kubernetes by Knative, is the natural evolution of cloud computing. Knative automates resource scaling to match demand, reducing waste and energy consumption. Further energy savings can be achieved by suspending worker nodes when data center capacity is high enough to meet demand.

All IBM trails
  1. The future is serverlessThis post argues that serverless computing is the future of cloud computing, driven by environmental and cost efficiencies. It details how Knative on Kubernetes automates resource scaling to match demand, reducing waste and energy consumption. The post also suggests that future clouds can suspend worker nodes when data center capacity is high enough to meet demand, leading to further energy savings.
  2. The future is serverless, part 2This post details challenges in achieving a serverless future, categorized into cloud optimization, service design, functions and workflows, and security. It highlights the need for Kubernetes and Knative enhancements to reduce overhead, minimize service latencies, enable worker node suspension, and improve event-driven design. It also discusses standardization of serverless technologies and the need for a common workflow language, as well as security considerations like increased attack surface and fading network boundaries.