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Akraino Kubernetes-Native Infrastructure

Formal Metadata

Title
Akraino Kubernetes-Native Infrastructure
Subtitle
A blueprint family for Edge
Alternative Title
Akraino Edge KNI blueprint: A Kubernetes Native Infrastructure approach to the Edge
Title of Series
Number of Parts
490
Author
License
CC Attribution 2.0 Belgium:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date2020
LanguageEnglish

Content Metadata

Subject Area
Genre
Abstract
Blueprints in the Kubernetes-Native Infrastructure Blueprint Family leverage the best-practices and tools from the Kubernetes community to declaratively manage edge computing stacks at scale and with a consistent, uniform user experience from the infrastructure up to the services and from developer environments to production environments on bare metal or on public cloud. All blueprints in this family share the following characteristics: K8s Machine API: declarative API to manage a configure the infrastructure of a cluster. Operator Framework: automated and secure lifecycle of applications running on the edge stack. Kubernetes-native workloads: allowing the mix of CNFs and VM-based workloads via Kubevirt. Come and see the leading edge! Launched in 2018, Akraino Edge Stack aims to create an open source software stack that supports high-availability cloud services optimized for edge computing systems and applications. As part of the Akraino project, Kubernetes-Native-Infrastructure blueprint family represents the reference edge stack managed as a declarative platform, where controllers monitor a system for deviations between the user-declared target state and reality and take corrective actions to reconcile reality with the declared target state. KNI blueprints cover up two different use cases: Provider Access Edge: as part of the network transformation, telco operators are moving to run its radio access network in a cloud-native manner. Technologies like vRAN will be only possible with a declarative approach, and leveraging open networking best practices. Industrial Edge: workloads such IoT, AI/ML, AR/VR, and ultra-low latency control will be run in the edge. These workloads will require specific hardware such GPUs and FPGAs. KNI can show how this needs can be a reality today. With Kubernetes Native Infrastructure learn about the k8s way of managing infrastructure. By defining a declarative state, the edge administrator will be able to manage thousands of sites by following an innovative GitOps approach. If you are interested in these exciting topics, don't miss the talk!