Review & Adoption of DSOM Ansible Configuration Guide (v3.6.2)
This document provides a comprehensive structural review and alignment strategy for adopting the DSOM (Deep State of Mind) Ansible Configuration Guide (v3.6.2) into the ASIMP (Ansible System Integrity Management Platform) repository.
ASIMP is designed as a security hardening and auditing framework. Integrating DSOM’s infrastructure guidelines allows ASIMP to align seamlessly with DSOM Ingestion Backbone environments.
🔍 Structural & Architectural Alignment
ASIMP and DSOM share highly compatible Ansible philosophies, but they are designed for different scopes:
- ASIMP is a systemic, multi-OS host hardening and compliance auditing framework (“Measure, Harden, Re-Measure”).
- DSOM Ingestion Backbone is a distributed, sovereign, high-throughput ingestion network (Kafka/Logstash) focusing on rootless workload orchestration via Quadlets.
1. The Ansible Blueprint (ansible.cfg)
| Feature | DSOM Spec | ASIMP Baseline | Adoption Decision / Action |
|---|---|---|---|
| Pipelining | Enabled to reduce latency | Enabled in [ssh_connection] |
Aligned. Managed via pipelining = True in ansible.cfg to reduce SSH latency. |
| YAML Callback | Standardized for high-fidelity audit | Standardized as default format | Adopted: Configured callback_result_format = yaml and bin_ansible_callbacks = True (Active ONLY with this supported configuration in ansible-core 2.13+). |
| Become Execution | Enabled via become: true at task level |
Programmatic fact asimp_privilege_level |
Aligned. ASIMP elevates automatically where required. |
🛡️ Privilege Model: “Rootful Control, Rootless Application”
DSOM v3.6.2 enforces a hybrid privilege blueprint:
- Rootful Control: Host administration (Systemd Quadlet, network namespaces).
- Rootless Application: Running Kafka/Logstash as
dsom-admin(UID 2001).
ASIMP Integration Map:
- ASIMP is fully compliant with this model through its dynamic privilege detection fact
asimp_privilege_level. - On limited or unprivileged nodes (e.g., in sandboxed or containerized user environments), ASIMP skips destructive low-level remediations (such as writing sysctls or manipulating restricted hardware services like
auditd) and shifts execution strictly to audit-only or fallback mode. - ASIMP’s safety check suite ensures that whenever
asimp_privilege_level == 'full', a thorough Pre-Remediation Safety Check is run (verifying disk space, SSH syntax, fstab mounts) to guarantee that host-level control actions do not trigger service lockouts.
🔐 Sovereign Secrets Injection
DSOM utilizes a Runtime Injection Pattern to avoid committing credentials:
inventory/hosts.ymlcontains public configuration variables and placeholder structures.- Production credentials live in git-ignored
vault/production_secrets.yml. -
Commands load secrets dynamically at runtime:
ansible-playbook -i inventory/hosts.yml playbooks/deploy.yml --extra-vars "@vault/production_secrets.yml"
ASIMP Compatibility & Encryption Strategy:
To guarantee complete secrecy, secrets management is protected through Ansible Vault:
- Ansible Vault-encrypted File: All production credentials and SSH passwords are encrypted using Ansible Vault and stored securely at
vault/production_secrets.yml. - Version Control Exclusion: The
vault/directory is strictly ignored in version control via.gitignore(vault/*,!vault/production_secrets.ymlto track only the encrypted template/vault) to prevent any plaintext password leaks. - Vault Password Retrieval: The vault password must never be committed to the repository. It is configured to be retrieved securely at runtime through a protected CI secret (e.g.,
ANSIBLE_VAULT_PASSWORDorvault-pass-clientscript connecting to a secure credentials manager). - Task Log Protection: Any credential-handling tasks in playbooks (like
play.yml) and related roles must employno_log: trueto explicitly suppress output logging of sensitive fields, ensuring secrets are never leaked to logs or the standard output. - Runtime Injection: ASIMP’s main playbook
play.ymlis ready to adopt this structure. By executing playbooks with the runtime variable injection pattern, teams can keep inventory tracking completely public while preserving absolute cryptographic separation of variables. - Multi-Host Structure: ASIMP’s multi-host structure groups target nodes by OS family under
play.yml. The runtime injection of target variables allows secure overlays to be passed directly without modifying the core auditing and hardening roles.
🔄 Proposed Alignment & Adoption Path
To successfully deploy ASIMP alongside the DSOM Backbone, follow these implementation steps:
+--------------------------------------------------------------+
| 1. Align Core Configuration (ansible.cfg Callback Updates) | ==> COMPLETED (Used callback_result_format = yaml)
+--------------------------------------------------------------+
|
v
+--------------------------------------------------------------+
| 2. Adopt Host Inventory Mapping (Keep hosts.yml public) | ==> Adopt DSOM-compatible variable structure
+--------------------------------------------------------------+
|
v
+--------------------------------------------------------------+
| 3. Apply Multi-OS Testing Matrix (Verify safety baselines) | ==> Execute via Podman 5+ multi-OS containers
+--------------------------------------------------------------+
- Output Standardisation: The YAML callback is active in our core configuration via
callback_result_format = yamlinansible.cfg(active only under this supported configuration), facilitating pristine logging of compliance deltas. - Pre-flight Assertions: The pre-flight assertions implemented in ASIMP (verifying
sshd -tand storage status) protect the DSOM orchestration host during hardening phases. - Telemetry & Feedback (Private & Restrictive Design):
- Private Restrictive Per-Run Directory: Telemetry gathered during “Measure” and “Re-Measure” phases is written to a private, highly restrictive per-run directory (e.g.
$HOME/.asimp/telemetry/or/run/user/$UID/asimp/with0700permissions). - Atomic Telemetry Creation: Files inside the restrictive directory are created atomically (using temporary filenames and moved atomically via rename operations) to avoid race conditions or hijacking.
- Bridge Integration: The private directory path is passed directly to the feedback bridge courier (
scripts/jules_gh_feedback.sh) at runtime. - Cleanup on Exit: An
alwaysexecution task block or exit trap securely removes all telemetry files and directories upon script termination. - Retention & Redaction Rules:
- Host Identifiers & System Data: Hostnames and IP addresses are completely redacted or replaced with generic aliases (e.g.
host_01) before submission. - PR IDs & Failure Messages: Failure traces are parsed, and any paths, local user names, or sensitive identifiers are scrubbed. Telemetry data is retained for a maximum of 24 hours.
- Non-Sensitive Data Policy: The telemetry contains strictly non-sensitive public metadata (e.g. task pass/fail counts, execution durations, standard software compliance percentages) and does not store or process any system credentials or configurations.
- Host Identifiers & System Data: Hostnames and IP addresses are completely redacted or replaced with generic aliases (e.g.
- Private Restrictive Per-Run Directory: Telemetry gathered during “Measure” and “Re-Measure” phases is written to a private, highly restrictive per-run directory (e.g.
Created by the ASIMP Architecture Team | OKF v0.1 Compliant | 2026-08-05