Container First Architecture for Secure Cloud Edge Workload Migration
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Solution Overview
Problem
Current cloud vendors do not enable the import of Helm Charts and Docker Compose YAML from end-users for AI or Deep Learning models, hindering heterogeneity in migrating containerized workloads across the cloud, which requires rebuilding containers every time for deployment on cloud or edge nodes.
Innovation Solution
The Container First Architecture (CFA) allows end-users to import and deploy Helm Charts and Docker Compose YAML files, with security integrity validation and privilege management, enabling portable deployment of container images across various hardware processors and accelerators, leveraging Deep Learning solutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud vendors do not enable import of Helm Charts and Docker Compose YAML from end-users, then security control is maintained, but heterogeneity in migrating containerized workloads is hindered
Solution Approach 1:
The patent introduces an intermediary validation mechanism that sits between end-user container imports and the cloud infrastructure. This intermediary performs security integrity validation on Helm Charts and Docker Compose YAML files, allowing heterogeneous workload migration while maintaining security control through automated verification rather than outright restriction.
Solution Approach 2:
The system performs preliminary security validation actions on container configurations before they are deployed to the infrastructure. By validating security integrity upfront during the import phase, the system enables heterogeneous workload migration while preventing security issues before they can affect the infrastructure.
2Reliability
If containers are rebuilt every time for deployment on cloud or edge nodes, then security policy compliance is ensured, but deployment time and productivity are reduced
Solution Approach 1:
The system performs security validation in advance during the container import phase rather than during deployment. This preliminary action ensures security policy compliance is verified before deployment occurs, allowing pre-built containers to be deployed without rebuilding while maintaining security requirements.
Solution Approach 2:
The system enables end-users to self-validate and deploy their own container configurations without requiring cloud vendor intervention for each deployment. The automated security validation allows users to bring their own pre-built containers, eliminating the need for repeated rebuilding while ensuring compliance through self-service validation mechanisms.
3Productivity
If end-users can import pre-built containers, then deployment efficiency is improved, but security risk from unvalidated containers increases
Solution Approach 1:
The patent introduces an intermediary validation layer that processes end-user container imports before they reach the deployment infrastructure. This intermediary validates security integrity of Helm Charts and Docker Compose YAML files, enabling deployment efficiency through pre-built containers while mitigating security risks through automated verification.
Solution Approach 2:
The system converts the potential harm of unvalidated user containers into a benefit by implementing automated security validation. The validation process transforms security risks from untrusted user inputs into verified, safe deployments, allowing efficient pre-built container usage while converting the security challenge into a controlled validation opportunity.
Data Source
AI summary
Various systems and methods are described for deployment, import, and scheduling of containers and other software components on cloud and edge computing hardware. A development platform may receive, from a remote location, package data for a deployment of one or more containers, including a configuration for the one or more containers. Such package data may be provided by a Helm chart or a Docker Compose YAML file. The development platform may extract the configuration for the one or more containers from the package data, and also perform a security evaluation of the one or more containers and the configuration for the one or more containers to validate compliance with a security policy. The development platform may execute (and coordinate scheduling) of one or more container images for the one or more containers, based on the configuration, after validating compliance with the security policy.


