me0nline/LOGAR
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases 10 Wiki Activity

feat: aggregation server info webui with client profile export, seat management, last activity time, auth, and hermes tokens
CI Test Suite / Run Component Tests & Pipeline Verification (push) Failing after 17s
Details

Browse Source
This commit is contained in:
me0nline
2026-09-25 22:26:32 +02:00
parent 4c8db1ec94
commit d9d895e468
4 changed files with 2784 additions and 1814 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+4 -4
View File
@@ -1,12 +1,12 @@
# LOGAR: Fleet Log Aggregation & Centralized Provisioning System
### *Sichere Log-Zusammenführung, PKI-Flottenlizenzierung & Bereitstellung für autonome KI-Analyse*
### *Secure Log Aggregation, PKI Fleet Licensing & Centralized Delivery for Autonomous AI Analysis*
**LOGAR** is an enterprise-grade log aggregation, normalization, and centralized provisioning system (**"Log-Zusammenführung und Bereitstellung"**) built for heterogeneous server fleets (Windows & Linux). It pairs ultra-lightweight, zero-state edge forwarders with a secure centralized server hub that enforces mutual TLS 1.3 (**mTLS**) authentication, dynamic PKI fleet licensing with cryptographic seat leasing, 12-hour temporal persistence tracking, and direct anomaly pass-through—delivering clean, structured, verified log telemetry directly to **Hermes AI** for autonomous deep reasoning, contextual root-cause analysis, and operational decision-making.
**LOGAR** is an enterprise-grade log aggregation, normalization, and centralized provisioning system built for heterogeneous server fleets (Windows & Linux). It pairs ultra-lightweight, zero-state edge forwarders with a secure centralized server hub that enforces mutual TLS 1.3 (**mTLS**) authentication, dynamic PKI fleet licensing with cryptographic seat leasing, 12-hour temporal persistence tracking, and direct anomaly pass-through—delivering clean, structured, verified log telemetry directly to **Hermes AI** for autonomous deep reasoning, contextual root-cause analysis, and operational decision-making.
---
## Table of Contents
1. [Core Purpose & Philosophy (Log-Zusammenführung & Bereitstellung)](#core-purpose--philosophy)
1. [Core Purpose & Philosophy (Log Aggregation & Provisioning)](#core-purpose--philosophy)
2. [End-to-End System Architecture](#end-to-end-system-architecture)
3. [System State Machines & Subsystem Lifecycles](#system-state-machines--subsystem-lifecycles)
- 3.1 [High-Level Overview State Machine](#31-high-level-system-state-machine)
@@ -32,7 +32,7 @@
## Core Purpose & Philosophy
### 1. Centralized Log Aggregation & Provisioning (*Log-Zusammenführung & Bereitstellung*)
### 1. Centralized Log Aggregation & Provisioning
The foundational objective of LOGAR is reliable, secure collection and structured delivery of system events:
- **Heterogeneous Fleet Aggregation**: Ingests Windows Event Logs (System, Application, Security) and Linux `systemd journalctl` events into a unified, normalized JSON data format.
- **Centralized Provisioning**: Serves as the authoritative clearinghouse and real-time streaming endpoint (`/api/hermes/report`), providing structured logs with temporal metadata to external consumers and automated AI agents.