Delivering Innovation with Cloud Native Apps
summary
Claims that managed PaaS speeds innovation by removing cluster ops and observability toil, with concrete tools and outcomes: schematics (Terraform) for repeatable infra, Code Engine and IBM Cloud Kubernetes Service plus managed OpenShift and distributed cloud for different abstraction levels, CI/CD gates with a code risk analyzer scanning image layers, managed databases and composable storage, observability turned on by default, and Red Hat Instruct Lab to train private LLMs — all presented as implemented components to shorten deploy times and enforce security and auditability.
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chapters (19)
- 0:00Cloud native innovation intro
- 1:10Cloud native needs more than K8s
- 3:22Dev challenges in cloud native
- 5:54Microservices and containers
- 7:39Platform engineering and architectures
- 9:44Standardized K8s environments
- 13:14K8s abstraction and managed services
- 16:23Distributed cloud for edge
- 16:44Code Engine for serverless
- 17:49Managed K8s for CNCF users
- 19:36OpenShift for hybrid multicloud
- 21:03Security in DevSecOps pipelines
- 23:51Identity and access management for clusters
- 25:37Persistent data storage
- 27:23Observability and monitoring
- 30:58FinOps for cloud native
- 32:45AI in cloud native apps
- 34:28Operationalizing platform outcomes
- 35:57Q&A
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