Application Delivery Controller Auto-Discovery Configuration
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Solution Overview
Problem
In dynamic data center environments with complex topologies, manual configuration of application delivery controllers is inefficient, leading to delays and redundant configurations, as it struggles to keep pace with changing applications and infrastructure.
Innovation Solution
A system and method for dynamically discovering application instances in real-time using a centralized application-centric configuration store, allowing the application delivery controller to adjust configurations automatically and efficiently manage application delivery without administrator intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual configuration of application delivery controllers is used, then configuration accuracy can be maintained, but configuration time and operational efficiency deteriorate significantly in dynamic environments
Solution Approach 1:
The application delivery controller automatically discovers application instances and configures itself by analyzing network traffic and consulting the centralized configuration repository, eliminating the need for manual administrator intervention while maintaining configuration accuracy through automated validation processes
Solution Approach 2:
The system continuously monitors network traffic and application instance states, providing real-time feedback to the configuration repository which then updates the controller's configuration automatically, ensuring accuracy while reducing configuration time through iterative self-adjustment
2Stability of the object's composition
If static manual configuration is used, then system stability is maintained, but adaptability to changing applications and infrastructure deteriorates
Solution Approach 1:
The configuration system transitions from static manual configuration to dynamic automated configuration, where the application delivery controller continuously adapts to changing application instances and infrastructure by analyzing network traffic and updating configurations in real-time while maintaining system stability through controlled change management
Solution Approach 2:
Real-time monitoring of application instances and infrastructure changes provides feedback to the centralized configuration repository, which automatically updates the controller's configuration to maintain both stability and adaptability in dynamic environments
3Productivity
If dynamic automated discovery is implemented, then productivity and response time improve, but system complexity increases
Solution Approach 1:
A centralized application-centric configuration repository serves as an intermediary between network traffic analysis and controller configuration, simplifying the overall system architecture by centralizing configuration management while enabling automated discovery and improving productivity through efficient configuration updates
Data Source
AI summary
The present disclosure is directed towards systems and methods for managing application delivery in a network. A device intermediary to a client and one or more servers that provide a plurality of applications, receives a request from the client to access a first application of the plurality of applications. The device holds the request and retrieves, while holding the request, configuration information for an instance of the first application from a configuration repository. The device configures a virtual internet protocol (“VIP”) server using the configuration information for the instance of the first application. The device processes the request via the VIP server.