app-health

Analyze Application Health

Analyze health for: $ARGUMENTS

Step 1: Parse Input

Extract:

• Application name (optional -- analyze all monitored apps if not provided)
• Time window in hours (default: 2)

Step 2: List Monitored Applications

zdx_list_applications()
```text

## Step 3: Get Scores for Each Application

For each application (or the specified one):

```text
zdx_get_application(app_id="<app_id>", since=<hours>)
zdx_get_application_score_trend(app_id="<app_id>", since=<hours>)
```text

## Step 4: Investigate Degraded Applications

For any application with score < 66:

```text
zdx_get_application_metric(app_id="<app_id>", metric_name="dns_time", since=<hours>)
zdx_get_application_metric(app_id="<app_id>", metric_name="availability", since=<hours>)
```text

Identify the metric causing degradation.

## Step 5: Check Most Impacted Users

```text
zdx_list_devices(app_id="<app_id>")
```text

## Step 6: Present Report

**ALWAYS present data in HTML tables** using `<table>`, `<thead>`, `<tbody>`, `<tr>`, `<th>`, `<td>` tags with inline styling. Use color-coded rows: green (score 66-100), yellow (score 34-65), red (score 0-33).

Include:

1. **Application health overview table** (app name, score, status, PFT, DNS, availability, impacted users, bottleneck)
2. **Detailed analysis** for each degraded/poor application explaining what the bottleneck metric indicates
3. **Root cause** per degraded app (DNS resolver, server-side, CDN, ISP, etc.)
4. **Next steps / resolution** prioritized by user impact count:
   - Critical apps: immediate investigation, check service health, engage vendor
   - Degraded apps: monitor trend, investigate bottleneck metric, check ISP paths
   - Healthy apps: no action, note any borderline (66-70) for proactive monitoring

## Step 7: Generate Downloadable Artifacts — MANDATORY

**You MUST create BOTH files. Do NOT skip the HTML page.**

1. **Word document** (`application_health_report_<date>.docx`): Executive summary, application health table, per-app deep dive for degraded apps, root cause analysis, user impact breakdown, prioritized remediation actions.