Infrastructure Orchestration UI for Multi-Region Change Visibility
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Solution Overview
Problem
Existing cloud infrastructure services face challenges in efficiently provisioning and deploying infrastructure resources and code across multiple regions due to manual effort requirements and the need for separate tools, leading to potential deviations and inefficiencies, especially as the number of service teams and regions grows.
Innovation Solution
A cloud infrastructure orchestration service (CIOS) that automates the provisioning and deployment process using a single tool, employing declarative modeling to manage infrastructure assets, with features like CIOS Central and CIOS Regional, which handle both provisioning and deployment, and provide a user interface for planning and executing releases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual configuration and management of cloud infrastructure is used, then control and customization are improved, but time consumption and operational complexity increase
Solution Approach 1:
The system enables self-service automation where infrastructure resources are automatically provisioned, configured, and managed based on predefined templates and policies. The orchestration service automatically handles resource allocation, scaling, and lifecycle management without requiring manual intervention for routine operations, thus reducing time consumption while maintaining control through automated decision-making frameworks.
Solution Approach 2:
The system uses pre-configured infrastructure templates and blueprints that define resource specifications, configurations, and dependencies in advance. When infrastructure is needed, these pre-prepared templates are automatically instantiated and deployed, eliminating the time-consuming manual configuration process while ensuring consistent and controlled deployments through predefined parameters.
2Productivity
If automated infrastructure provisioning is implemented, then efficiency and speed are improved, but control and customization capabilities deteriorate
Solution Approach 1:
The orchestration system dynamically adjusts infrastructure provisioning based on real-time conditions, policies, and requirements. It allows runtime modifications to resource configurations, scaling decisions, and deployment parameters while maintaining automated efficiency. The system can adapt to changing requirements through dynamic policy evaluation and automated reconfiguration, balancing speed with control flexibility.
Solution Approach 2:
The system implements feedback mechanisms where infrastructure state, performance metrics, and policy compliance are continuously monitored and fed back to the orchestration service. This enables automated adjustments and corrections while maintaining control, as the system can respond to changing conditions and ensure configurations meet organizational requirements without manual intervention.
3Adaptability or versatility
If multiple cloud providers and services are integrated, then versatility and adaptability are improved, but system complexity increases
Solution Approach 1:
The orchestration service implements a universal abstraction layer that provides consistent interfaces and operations across multiple cloud providers and services. It manages diverse infrastructure resources through unified templates and policies, enabling multi-cloud versatility without requiring separate management systems for each provider, thus reducing the perceived complexity for users while maintaining broad adaptability.
Solution Approach 2:
The system introduces an intermediary orchestration layer between users and multiple cloud providers. This mediator translates high-level infrastructure requests into provider-specific configurations and operations, handling the complexity of multi-cloud integration internally while presenting a simplified interface to users. The intermediary manages provider-specific nuances, authentication, and resource mapping automatically.
4Reliability
If comprehensive infrastructure monitoring and management is implemented, then reliability and visibility are improved, but computational overhead and resource consumption increase
Solution Approach 1:
The monitoring system implements selective observation where only critical infrastructure metrics and events are tracked based on predefined policies and requirements. It focuses computational resources on monitoring essential aspects of infrastructure health, performance, and compliance rather than attempting to monitor all possible parameters, thus maintaining reliability and visibility while reducing unnecessary computational overhead.
Data Source
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AI summary
Techniques are disclosed for providing a number of user interfaces. A computing system may execute a declarative infrastructure provisioner. The computing system may provide declarative instructions and instruct the declarative infrastructure provision to deploy a plurality of infrastructure resources and a plurality of artifacts. One example user interface may provide a global view of the plurality of infrastructure components and artifacts. Another example user interface may provide corresponding states and change activity of the plurality of infrastructure components and artifacts. Yet another user interface may be provided that presents similarities and/or differences between a locally-generated safety plan indicating first changes for a computing environment and a remotely-generated safety plan indicating second changes for the computing environment.