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Pull model

As explained in Acing the CCNA Exam: Volume 2 Advanced Networking and Security

A pull model is an automation pattern in which managed systems periodically connect to a management system and retrieve configuration.

A pull model is an automation pattern in which each managed device periodically connects to a management server and retrieves its configuration. The client requests configuration instead of receiving it from a server-initiated push. section 25.2.3 section 25.2

Recognize the pattern through these characteristics:

  • Use an agent-based architecture: install a software agent on every managed device. section 25.2.3
  • Let managed devices independently check for and apply configuration updates. section 25.2.1
  • Expect update delays because devices must check in before receiving changes. section 25.2.1
  • Contrast it with push automation, which provides centralized control and immediate updates from the management server. section 25.2.1

Puppet and Chef

Puppet and Chef primarily use pull models for configuration management. Their agents connect to a central server, retrieve configuration information, and apply changes. Puppet defines desired state with Puppet DSL; Chef uses a procedural approach. section 25.2.3 section 25.3

Table 25.1 Configuration management tools (view table figure)

Ansible

Terraform

Puppet

Chef

Language

Python

Go

Ruby

Ruby

Configuration file format

YAML

HashiCorp Language (HCL)

Puppet DSL

Ruby

Communication protocol

SSH, NETCONF

HTTP (API)

HTTP (API)

HTTP (API)

Agent-based/agentless

Agentless

Agentless

Agent-based

Agent-based

Procedural/declarative

Procedural

Declarative

Declarative

Procedural

Push/pull

Push

Push

Pull

Pull

Compare pull-based Puppet and Chef with push-based Ansible and Terraform across architecture, configuration style, language, and communication protocol. section 25.2

How Acing the CCNA Exam: Volume 2 Advanced Networking and Security covers it

How deep it goes
Defines request direction, agent architecture, workload distribution, and update delays, but does not detail agent implementation.
Examples
Uses Puppet and Chef agents retrieving configurations from central servers, contrasted with Ansible and Terraform push workflows.
What you can do after
Evaluate whether distributed check-ins or centralized immediate updates better suit an organization and network.
How it connects
Connects configuration management, infrastructure as code, agent-based architecture, push model, Puppet, Chef, and declarative configuration.

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This explainer was generated by Manning's knowledge graph from the text of Acing the CCNA Exam: Volume 2 Advanced Networking and Security. The section links point to the parts of the book it draws on.