Ansible hostDecision Attribute for Dynamic Node Selection
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Solution Overview
Problem
Ansible playbooks face challenges in flexibility and analysis capability, leading to a high learning curve, low productivity, error-prone automation scripts, and inconsistent Infrastructure as Code (IaC) in hybrid-cloud scenarios, particularly due to the need to decide whether tasks should be performed on all or specific managed nodes.
Innovation Solution
The Ansible engine introduces a hostDecision attribute with values 'primaryNode', 'allNodes', and 'Dynamic' to selectively determine which managed nodes to perform tasks on, allowing static or dynamic selection based on attributes like CPU capacity, health status, and workload, thereby avoiding cross-host impacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If tasks are performed on all managed nodes in a host group, then task coverage is maximized, but cross-host impacts and errors increase
Solution Approach 1:
The patent applies local quality by determining specific managed nodes as primary nodes based on local attributes (CPU capacity, health status, workload) rather than uniformly treating all nodes equally. This allows tasks to be selectively executed only on nodes where they are appropriate, preventing cross-host impacts while maintaining reliable task coverage.
2Manufacturing precision
If manual selection of managed nodes is implemented, then task precision is improved, but operational complexity increases
Solution Approach 1:
The patent implements self-service by enabling the Ansible engine to automatically determine primary managed nodes based on predefined attributes without requiring manual intervention. The system autonomously evaluates CPU capacity, health status, and workload to select appropriate nodes, maintaining precise task execution while simplifying operation for users.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting node selection criteria based on measurable attributes such as CPU capacity, health status, and workload. These parameters are evaluated at runtime to determine which managed nodes should execute tasks, providing precise selection without manual configuration complexity.
3Adaptability or versatility
If dynamic node selection based on runtime information is implemented, then adaptability is improved, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-defining the attributes and criteria that will be used to determine primary managed nodes before task execution. The Ansible engine evaluates CPU capacity, health status, and workload in advance to identify suitable nodes, enabling adaptive selection without adding complex runtime decision-making logic.
Data Source
AI summary
A method, computer program product, and computer system for implementing tasks on managed nodes. A specified task to be performed by an Ansible module on one or more managed nodes of two or more managed nodes is received. The one or more managed nodes are determined based on an attribute value of a hostDecision attribute of the Ansible module. The attribute value may be primaryNode, allNodes, or Dynamic, where: primary Node requires the one or more managed nodes to be a primary node, allNodes requires the one or more managed nodes to be the two or more managed nodes, and Dynamic requires the one or more managed nodes to be determined dynamically based on runtime information. The Ansible module is sent to the one or more managed nodes to perform the task on the one or more managed nodes.