CaeliCode Platform · Operational atlas

The operating layer behind the work.

A source-linked map of the workflows, runner operations, monitoring, and safeguards used across the CaeliCode engineering workspace. Public implementations are open to inspect; access-controlled systems and reference components are labeled where they appear.

Trace the system Open public evidence

Source-linked public implementations
Access-controlled operating systems
Boundary-labeled reference work

caelicode / operating-map main

CHANGE INPUTS

Repositories + configcode · YAML · pull requests

mixed

ORCHESTRATION

GitHub Actionsshared workflows · reviewed changes

source

03Runner lanesprivate working system

04Assurance loopsscans · checks · artifacts

EVIDENCE SURFACES

PUBLICStatus historyopen signal

AUTHRunnerlyreal runner visibility

PRIVATEReportscontrolled artifacts

A simplified topology of documented relationships—not a live network or telemetry view.

How to read this page

Every system carries an evidence state.

The label stays beside the claim, so a public repository, a private running system, and a reference implementation are never presented as the same thing.

Public implementation

Source, history, or a working public surface can be opened without authentication.

Live · authenticated

The system is running, but operational access requires an approved GitHub identity.

Active automation · private

Scheduled or event-driven workflows run privately; reports and implementation details remain controlled.

Reference or designed

The implementation or model exists, but no public claim is made that every capability is operational.

Current-state architecture

One operating loop. Several proof surfaces.

The common path starts with a reviewed change and ends with an inspectable result. Individual repositories use only the stages they need; the map does not imply one universal control plane.

01Define
Code and configuration
Repository changes, YAML policies, and pull requests establish the intended state.
public + private
02Automate
Workflow orchestration
GitHub Actions validates changes and coordinates selected build, security, and operations tasks.
public foundation
03Execute
Hosted and private lanes
Jobs use GitHub-hosted or self-hosted runner lanes according to repository and workload needs.
mixed access
04Verify
Tests, scans, and checks
Repository tests, secret scanning, status evaluation, and workflow summaries produce evidence.
mixed evidence
05Observe
Status and operations views
Public status history, controlled artifacts, email notifications, and Runnerly expose the right level of visibility.
scoped outputs

Architecture boundary

This diagram summarizes documented control and evidence flows. It intentionally omits credentials, network addresses, runner identifiers, private repository data, and deployment topology.

System inventory

What exists, what it proves, and where it stops.

The platform is a connected body of public components, private automation, and an authenticated operations surface—not a bundle of interchangeable SaaS products.

Operating systems

Running public or access-controlled surfaces

STATUS / INCIDENTSLive · public

Status automation

A public implementation that reconciles endpoint configuration, evaluates Grafana metrics, publishes status history, and can synchronize incidents to Atlassian Statuspage.

Current public scopecaelicode.com
ImplementationPython · GitHub Actions · Grafana
BoundaryStatus is a scoped signal, not a platform-wide health claim

Inspect source Open status history

RUNNER OPERATIONSLive · authenticated

Self-hosted runners + Runnerly

Private runner infrastructure executes selected GitHub Actions jobs. Runnerly provides an authenticated view of real runner inventory and job telemetry.

Live scopeReal runner visibility after GitHub authentication
Public viewSanitized case-study representations
BoundaryPolicy, enrollment, and evidence roadmap items remain labeled separately

Open Runnerly Read the case study GitHub authentication required

Assurance automation

Active private controls with scoped public descriptions

GOVERNANCEActive · private

Selected organization controls as code

Versioned YAML and Python automation support plan, apply, drift-review, auto-protection, dashboard, and access-review workflows for selected GitHub organization controls.

Pull-request plan previews
Scheduled drift and protection checks
Controlled audit artifacts

Boundary: source, member data, and generated reports are private.

SECRET DETECTIONActive · private

Scheduled secret scanning

Gitleaks pattern detection and TruffleHog verification run through private workflows, with incremental history and controlled report artifacts.

Pattern and verification engines
Scheduled organization scans
Notification action integration

Boundary: targets, findings, history, and reports are intentionally not public.

Building blocks and reference work

Inspectable foundations plus a clearly scoped lab

WORKFLOW FOUNDATIONSource · public

Reusable organization workflows

Shared CI, deployment, container, notification, and security workflow definitions used across selected repositories.

Inspect workflows

NOTIFICATIONSSource · public

Send Email action

A published MIT-licensed GitHub Action for SMTP delivery, used by private scan workflows for selected notifications.

Inspect action

OBSERVABILITY LABReference · private

Containerized monitoring lab

A deployable Compose-based reference using Grafana, Prometheus, Loki, Alertmanager, Promtail, Node Exporter, and an alert logger.

Boundary: implementation exists; this page does not present it as a publicly verified live SOC.

Trace the workflows

Follow the path, not the adjectives.

Each view separates the workflow itself from the evidence a public reviewer can inspect.

Public implementation

Configuration becomes a public status signal.

The status-page repository exposes the implementation from endpoint declaration through public history. The public scope currently covers the main CaeliCode website.

01
DefineEndpoint, thresholds, component, and metric settings live in versioned YAML.
02
ReconcileA workflow provisions or updates the configured monitoring resources.
03
EvaluatePython logic reads monitoring data and determines scoped component status.
04
PublishGitHub Pages exposes status history; optional automation synchronizes Statuspage.

config.yamlpublic source excerpt

endpoints:
  caelicode-com:
    name: "caelicode.com"
    url: "https://caelicode.com"
    frequency: 300000
    component: true
    metric: true
    thresholds:
      latency_ms:
        operational: 3000
        degraded: 5000

Open the source file

Engineering decisions

The tradeoffs are part of the evidence.

The platform is intentionally modest in surface area. Its value is the connection between versioned intent, automated execution, scoped visibility, and honest limitations.

CHANGE CONTROL

Keep automation close to the code.

GitHub Actions places review, execution history, and repository context in one workflow surface.

Benefit: Inspectable change history
Tradeoff: Platform limits and provider coupling

ACCESS

Make proof public, not operations porous.

Public repositories and status history support review while credentials, topology, reports, and authenticated consoles remain private.

Benefit: Credibility without data leakage
Tradeoff: Some claims require sanitized evidence

CONFIGURATION

Prefer versioned intent over hidden state.

Selected systems begin with code or configuration that can be reviewed, validated, and compared before execution.

Benefit: Repeatable review path
Tradeoff: Validation becomes mandatory

RESILIENCE

Publish simple, read-only evidence surfaces.

Static status output and repository-native artifacts reduce the number of components required for public review.

Benefit: Low-coupling public access
Tradeoff: Less interactive than an operations console

Public review path

Continue from the map to the implementation.

These are the strongest public starting points for evaluating the system: source, workflow definitions, operating history, and the broader engineering body of work.

Open the engineering review path

01Status automationSource, tests, configuration, and workflows 02Public status historyScoped operational signal for caelicode.com 03Shared workflowsReusable organization automation 04Notification actionPublished reusable GitHub Action 05Engineering briefTwo-page recruiter and reviewer summary

CaeliCode engineering workspace

A credible system should survive the second click.

Start with the map. Then inspect the source, operating signals, decisions, and boundaries behind it.

Review the work Open GitHub

The operating layer behind the work.

Every system carries an evidence state.

Public implementation

Live · authenticated

Active automation · private

Reference or designed

One operating loop. Several proof surfaces.

Code and configuration

Workflow orchestration

Hosted and private lanes

Tests, scans, and checks

Status and operations views

What exists, what it proves, and where it stops.

Operating systems

Status automation

Self-hosted runners + Runnerly

Assurance automation

Selected organization controls as code

Scheduled secret scanning

Building blocks and reference work

Reusable organization workflows

Send Email action

Containerized monitoring lab

Follow the path, not the adjectives.

Configuration becomes a public status signal.

Selected controls move through plan, apply, and review.

Describe the control loop without exposing the control data.

Jobs run on private lanes; Runnerly exposes the runner layer.

The tradeoffs are part of the evidence.

Keep automation close to the code.

Make proof public, not operations porous.

Prefer versioned intent over hidden state.

Publish simple, read-only evidence surfaces.

Continue from the map to the implementation.

A credible system should survive the second click.