Deployment Guardrail Quorum Validation for Live Server Targeting
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Solution Overview
Problem
Traditional deployment tools lack the intelligence to discern between live and dark servers in complex IT environments, leading to erroneous deployments and operational disruptions, exacerbated by reliance on single validation methods and isolation from real-time monitoring tools.
Innovation Solution
The IntelliModule integrates with existing deployment tools like Ansible, leveraging a Remote Query Interface (RQI), Splunk API, and Active Nodes Registry (ANR) via an encrypted 5G network to dynamically validate deployment targets, ensuring accurate and secure deployments by seeking a quorum across multiple independent responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional deployment tools are used without real-time validation, then deployment speed is maintained, but deployment accuracy deteriorates leading to erroneous deployments on live servers
Solution Approach 1:
The system performs preliminary validation checks by querying DNS, Splunk, and ANR before deployment to identify live servers. This preliminary action ensures accurate identification of deployment targets before the actual deployment occurs, preventing erroneous deployments while maintaining efficiency through automated pre-checks
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring server status through DNS queries, Splunk traffic data, and ANR registry information. This real-time feedback allows the deployment system to adapt and correct potential errors, ensuring high deployment accuracy without sacrificing speed
2Reliability
If multiple validation methods are integrated, then deployment reliability improves, but system complexity increases
Solution Approach 1:
The validation system is segmented into three independent modules: DNS query module, Splunk integration module, and ANR registry module. Each module independently validates server status using different data sources, improving reliability through diversified validation while managing complexity through modular design and clear separation of concerns
Solution Approach 2:
The system merges results from multiple independent validation sources (DNS, Splunk, ANR) to make deployment decisions. By combining these complementary validation methods, the system achieves high reliability through consensus, while the standardized integration framework keeps system complexity manageable
3Measurement precision
If real-time monitoring integration is implemented, then deployment accuracy improves, but loss of time increases due to additional validation steps
Solution Approach 1:
The system maintains continuous monitoring of server status through background processes that continuously query DNS, Splunk, and ANR. This continuous useful action ensures that validation data is always current and readily available, improving detection accuracy while minimizing additional validation time since the monitoring is ongoing rather than initiated at deployment time
Data Source
AI summary
Systems and methods are disclosed for an advanced guardrail for automated software deployment and infrastructure reconfiguration, enhancing reliability and security in complex IT environments. It features an IntelliModule that integrates with existing deployment tools to provide intelligent decision-making. The system retrieves DNS information via a Remote Query Interface (RQI) and compares it with current pod inventories to identify live pods, supplemented by additional DNS queries. A Splunk API determines server status based on traffic data, which is compared with DNS results. An Active Nodes Registry (ANR), updated via an encrypted 5G network, provides real-time, independent server status. The IntelliModule applies decision-making rules to validate deployment targets, ensuring deployments proceed only with current and reliable data. Secure communication channels and structured data formats enhance the system's flexibility, scalability, and reliability. This multi-faceted approach mitigates risks of erroneous deployments to live as opposed to dark servers and ensures robust software delivery management.