Automated Failover Workflow Using Virtual Engineers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current failover systems and methods are complex and inefficient, leading to issues such as significant duration in failover time, latency in notifying infrastructure teams, lack of visibility into failover progress, manual testing of infrastructure post-failover, and no systemic visibility into failures or audit trails for remediation.
Innovation Solution
The implementation of a method for providing failover automation, which involves obtaining a process inventory for failover, generating a data model and workflow based on this inventory, assembling virtual engineers to perform the failover, and executing the failover process with these virtual engineers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual failover processes are used with coordination between teams, then failover can be performed with human oversight and decision-making, but failover time duration increases significantly and operational efficiency decreases
Solution Approach 1:
The system performs preliminary actions by pre-configuring failover workflows, assembling virtual engineers in advance, and preparing data models before actual failover events occur. This allows the system to execute failover operations immediately when needed without manual coordination delays.
Solution Approach 2:
The system enables self-service by automating the entire failover process including workflow execution, virtual engineer coordination, and progress tracking without requiring human intervention. The automated system serves itself by monitoring its own state and executing remediation actions.
2Reliability
If manual coordination between application teams and infrastructure teams is required, then proper oversight and control can be maintained, but operational complexity and communication overhead increase
Solution Approach 1:
The system merges application team responsibilities and infrastructure team responsibilities into a single automated workflow execution engine. The virtual engineers represent both teams' capabilities in one unified system, eliminating the need for inter-team coordination while maintaining proper control through automated validation.
Solution Approach 2:
The workflow execution system acts as an intermediary that automatically coordinates between application failover requirements and infrastructure capabilities. Instead of human teams communicating directly, the automated system mediates the coordination through predefined workflows and virtual engineers.
3Reliability
If periodic manual testing of failover readiness is performed, then system readiness can be verified, but testing frequency is limited and visibility into failover progress is lost
Solution Approach 1:
The system enables continuous monitoring and automated testing of failover readiness through workflow execution tracking. Instead of periodic manual tests, the system continuously monitors workflow state, virtual engineer availability, and system readiness, providing ongoing verification without interruption to production operations.
Solution Approach 2:
The system implements feedback mechanisms by tracking workflow execution progress, monitoring virtual engineer performance, and providing visibility into failover readiness status. This continuous feedback loop enables automatic adjustment and verification without manual intervention.
4Loss of information
If fully manual documentation of redundancy procedures is maintained, then detailed procedural records can be kept, but documentation quickly becomes outdated as services evolve
Solution Approach 1:
The system creates automated digital copies of failover procedures through workflow definitions and virtual engineer configurations. These digital representations are dynamically generated from system state and automatically updated when services evolve, eliminating the need for manual documentation updates while preserving complete procedural information.
Data Source
AI summary
Provided is a failover automation system and method comprising: obtaining, by a processor, a process inventory for a failover of an application from a first datacenter to a second data center; generating, by the processor, a data model for the failover based on the process inventor; generating, by the processor, a workflow for the failover based on the data model; assembling, by the processor, a set of one or more virtual engineers to perform the failover for the application based on the workflow; and performing, by the processor, the failover for the application with the set of one or more virtual engineers based on the workflow.


