“Networking” the Logical Micro-Service Infrastructure
summary
Argues that combining real-time telemetry with an analytics/data-lake stack (notably Panda IO) plus orchestration (ONAP, OPNFV) and container plugins (Kubernetes CNI, Cloud Foundry OCI) lets machine-learning–driven placement optimize compute networking and storage together and yields up to 30% efficiency gains; adds a multivariate identity-driven microsegmentation model (device, geolocation, time, user) and a human-readable policy layer to push intent from application metadata into FD.io/VPP forwarding and the network control plane.
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chapters (9)
- 0:00Evolution of SDN
- 1:20Telemetry and analytics
- 3:40Machine learning in networking
- 4:54Identity and policy control
- 7:30Human-readable policy
- 10:03Container networking challenges
- 13:11Intent-driven orchestration
- 15:47Integrating the open stack
- 19:11Unified industry trajectory
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