Automating Application-Driven Container Elasticity

Automating App Driven Container Elasticity Cover - IBM

Your competitive advantage depends on how quickly ideas become business transactions, and how well they perform for your customers. Technology is the enabler. Containers offer the speed, agility, elasticity and scale that is fundamentally changing the way we build, deploy and run these applications. They usher in a world where applications can truly run anywhere; updates and new capabilities can deploy into production several times a day, and dynamic fluctuating workload demand can be managed with elastic infrastructure supply—wherever, whenever.

Kubernetes is a platform that can enable organizations to be agile and elastic, but it does not manage trade-offs on how to assure performance, while being efficient. For all the simplicity and agility containerization provides, the orchestration platform only provides a way to manage the lifecycle of these services: deploying and maintaining your services in the way you describe. Container platforms do not natively assure services meet SLOs and cannot dynamically manage resources.


  • Key concepts to consider for container platform adoption as the way to run your business
  • Why threshold-based container scaling policies are insufficient to assuring application performance
  • How AI-powered, dynamic resourcing can continuously assure performance and meet application SLOs
  • Key insights to deliver application-driven, self-managing Kubernetes at scale, and more!