{% extends "base.html" %} {% from "includes/twin_verdict_banner.html" import twin_css, verdict_js %} {% block title %}Observability Twin — {{ design.name }} — ICDEV™{% endblock %} {% block extra_css %}{{ twin_css() }}{% endblock %} {% block content %}
← Observability Canvas

Observability Twin — {{ design.name }}

OTel-based instrumentation coverage twin. Snapshot telemetry state, surface coverage gaps, and simulate collector topology changes.

1. Telemetry Snapshot

{% if snapshots %}
    {% for s in snapshots %}
  • {{ s.label }} {{ s.service_count }} services · {{ s.coverage_score|round(0)|int }}% coverage · {{ s.created_at[:10] if s.created_at else '—' }}
    • {% endfor %}
{% else %}

No snapshots yet — take one below.

{% endif %}

Captures the current OTel collector topology and instrumentation coverage as a baseline.

2. Collector Change (What-If)

Paste an OTel collector delta JSON, or use the tools below to generate one automatically.

Loads current collector config context for AI chat
{% with chat_hint="Describe the instrumentation change in plain English — AI generates the OTel delta JSON.", chat_placeholder="e.g. Add Prometheus receiver for the new payment service, remove the legacy Jaeger exporter..." %} {% include "includes/_twin_chat_panel.html" %} {% endwith %}
{% for sig in ['traces','metrics','logs','all'] %} {% endfor %}
Run a simulation to see instrumentation coverage analysis here.

SLO Impact Projection Estimated

Estimates how the collector change affects error budget burn rate, derived from the design's coverage baseline and the modeled coverage delta (heuristic — not measured SLO telemetry).

{{ verdict_js() }} {% with chat_api_prefix="observability" %} {% include "includes/_twin_chat_script.html" %} {% endwith %} {% endblock %}