Bootstrap Agent for Dynamic Virtual Machine Injection
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Solution Overview
Problem
Current agent deployment systems for e-commerce applications require significant configuration changes, manual copying of files, and local storage, making them complex and intrusive, especially in large-scale distributed systems.
Innovation Solution
A method for dynamically injecting in-process agents into virtual machine-based applications using a bootstrap agent that connects to a remote management server, allowing for automated deployment of bytecode or native code binaries without altering the application configuration, and enabling access to application data and resources without inter-process or network overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If current agent deployment approaches are used for virtual machine based systems, then agents can be deployed to monitored applications, but significant configuration changes and manual file copying are required, increasing system complexity
Solution Approach 1:
A bootstrap agent is introduced as an intermediary component that automatically connects to a management server, retrieves in-process agent binaries, and installs them without requiring manual configuration changes or file copying. The bootstrap agent serves as a mediator between the management server and the target application, automating the entire deployment process.
Solution Approach 2:
The system enables self-service deployment where the bootstrap agent automatically performs the deployment tasks without human intervention. The management server provides the in-process agent binaries through network connections, and the bootstrap agent autonomously handles the installation process, eliminating the need for manual configuration modifications.
2Productivity
If multiple files are copied locally to servers for agent deployment, then agents can be installed, but the process becomes time-consuming and error-prone in large-scale systems
Solution Approach 1:
The manual mechanical process of copying multiple files locally is replaced with an automated network-based system. The management server transmits in-process agent binaries through network connections to the bootstrap agent, which then installs them automatically, eliminating manual file copying operations entirely.
Solution Approach 2:
The bootstrap agent serves multiple functions: it connects to the management server, retrieves agent binaries, verifies compatibility, and performs installation. This multi-functional approach consolidates what would otherwise require multiple separate manual operations into a single automated process.
3Ease of operation
If application configuration is altered for agent deployment, then agents can be deployed, but the application integrity and stability may be compromised
Solution Approach 1:
The deployment system is segmented into separate components: the bootstrap agent, the management server, and the in-process agents. This segmentation allows the deployment mechanism to be isolated from the application configuration, enabling agent installation without modifying the application's core configuration files or stability-critical settings.
Solution Approach 2:
The bootstrap agent acts as an intermediary that handles all deployment-related operations externally to the application configuration. It communicates with the management server and installs agents through the virtual machine's existing interfaces, avoiding direct modification of application configuration files.
4Quantity of substance
If agents are deployed in large-scale distributed systems with thousands of servers, then comprehensive monitoring is possible, but management and maintenance become highly complex
Solution Approach 1:
The management server provides universal functionality to manage agents across all servers in the distributed system. A single management server can serve thousands of servers by providing standardized interfaces and automated deployment mechanisms, eliminating the need for individual management of each server.
Solution Approach 2:
The bootstrap agents on each server perform self-service deployment operations by automatically connecting to the management server, retrieving appropriate agent binaries, and installing them locally. This eliminates the need for centralized manual management of each individual server, reducing overall system management complexity.
Data Source
AI summary
A method and system for dynamic and adaptive deployment of in-process agents to virtual machine based applications which may run on remote hosts is provided. A bootstrap agent is injected into the application, using standardized interfaces provided by virtual machine based systems like SUN MICROSYSTEMS' JAVA system or MICROSOFT's .NET system. The bootstrap agent establishes a network connection to a management server which provides binaries representing in-process agents in bytecode or native code format. The bootstrap agent sends data identifying its runtime environment to the management server, which determines the matching in-process agent binaries for the runtime environment of the connected agent and sends the selected binaries to the bootstrap agent. The bootstrap agent receives the binaries and installs them to its hosting virtual machine, according to their format (bytecode or native code).


