Integrations / DevOps Lifecycle

DevOps Lifecycle Integration

Automate knowledge synchronization, documentation-as-code, and AI-driven insight generation directly within your CI/CD pipelines, infrastructure workflows, and developer toolchains.

Overview

Aevum Encyclopedia's DevOps integration bridges the gap between dynamic codebases and living documentation. By embedding Aevum into your deployment lifecycle, you ensure that knowledge artifacts remain synchronized with your actual infrastructure, code changes, and release cadence.

The integration supports bidirectional sync: code commits trigger knowledge graph updates, while verified encyclopedia entries can auto-generate configuration docs, runbooks, or audit trails.

Note: All pipeline integrations run serverless and support GitHub Actions, GitLab CI, Jenkins, and Azure DevOps out of the box. Authentication uses short-lived OAuth tokens or mTLS for enterprise environments.

Integration Architecture

The DevOps lifecycle flows through four synchronized stages. Aevum operates as an event-driven knowledge layer that reacts to repository state, deployment status, and runtime metrics.

📦 Source Control
PRs, Commits, Tags
→
⚙️ CI/CD Runner
Build & Test
→
🧠 Aevum Engine
AI Sync & Graph
→
🌐 Delivery Layer
Docs, Runbooks, API

Webhooks trigger the Aevum ingestion service, which parses diff metadata, extracts semantic changes, and updates the knowledge graph. Versioned snapshots are stored immutably and can be queried via REST or GraphQL.

CI/CD Pipeline Setup

Add the Aevum sync step to your pipeline configuration. Choose your preferred runner below:

.github/workflows/knowledge-sync.yml 
name: Aevum Knowledge Sync
on:
  push:
    branches: [main, release/**]
  pull_request:
    types: [closed]

jobs:
  sync-knowledge:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Sync with Aevum
        uses: aevum/encyclopedia-action@v2
        with:
          api-token: ${{ secrets.AEVUM_API_TOKEN }}
          scope: devops-lifecycle
          auto-graph: true
.gitlab-ci.yml 
knowledge_sync:
  stage: deploy
  image: aevum/cli:latest
  script:
    - aevum sync --token $AEVUM_API_TOKEN \
          --repo $CI_PROJECT_NAME \
          --branch $CI_COMMIT_REF_NAME \
          --auto-graph
  only:
    - main
    - merge_requests
Jenkinsfile 
pipeline {
  agent any
  stages {
    stage('Aevum Knowledge Sync') {
      steps {
        sh "./aevum-cli sync --token $AEVUM_TOKEN --auto-graph"
      }
    }
  }
}

Webhooks & Payloads

Configure webhook endpoints in your Aevum dashboard to receive real-time events when knowledge entities are updated, deprecated, or linked to new deployments.

Event Endpoint Description
knowledge.sync.completed POST /webhooks/aevum Fires after successful graph ingestion
entity.versioned POST /webhooks/aevum New immutable snapshot created
audit.trail.updated POST /webhooks/aevum Compliance log entry generated
Webhook Payload Example 
{
  "event": "knowledge.sync.completed",
  "timestamp": "2025-04-12T08:30:00Z",
  "metadata": {
    "repository": "infra/core-platform",
    "commit": "a1b2c3d",
    "entities_updated": 14,
    "graph_hash": "sha256:f8a9b..."
  }
}

Knowledge Versioning & Audit

Every sync operation creates an immutable version in the knowledge graph. This enables:

  • Rollback capabilities for documentation drift
  • Full audit trails compliant with SOC 2 & ISO 27001
  • Branch-aware knowledge isolation (dev/staging/prod)
  • Automated diff reports between knowledge snapshots

Query historical versions using the /v2/versions/{id}/diff endpoint or via the CLI with aevum version compare.

Quick Start

  1. Generate API Token

    Navigate to Dashboard → Security → API Keys. Create a token with knowledge.write and graph.sync scopes.

  2. Configure Pipeline

    Add the Aevum step to your CI configuration using the tabs above. Store the token as a secret.

  3. Verify Sync

    Push a test commit. Check the Aevum Activity Log for status: success and review the updated knowledge graph.

  4. Enable Auto-Graph

    Toggle auto-graph: true to allow AI to auto-link entities, detect deprecated patterns, and suggest documentation updates.

FAQ

Does Aevum store raw source code?

No. Only semantic metadata, commit hashes, file paths, and diff summaries are ingested. No proprietary code is stored or indexed.

Can I restrict sync to specific directories?

Yes. Use the --path flag in the CLI or configure .aevumignore at your repository root.

How is rate limiting handled?

Pipeline syncs are queued with adaptive throttling. Enterprise plans include dedicated ingestion channels with guaranteed SLA.