A lightweight tool that collects real-time service health information from DigitalOcean’s public status page. It helps teams track outages, incidents, and maintenance events so they can react faster and keep users informed. Built for developers and operators who care about visibility and uptime.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project gathers structured status data from DigitalOcean’s status page and turns it into clean, machine-readable output. It solves the problem of manually checking service health by automating visibility into incidents and maintenance updates. It’s designed for developers, SREs, and monitoring teams who need reliable status insights.
- Aggregates overall platform status into a single indicator
- Captures detailed component-level health states
- Tracks unresolved incidents with timestamps and updates
- Includes scheduled and in-progress maintenance windows
| Feature | Description |
|---|---|
| Overall Status Indicator | Quickly shows whether services are operational, degraded, or down. |
| Component Status Tracking | Extracts health information for individual DigitalOcean services. |
| Incident Monitoring | Collects unresolved incidents with descriptions and timelines. |
| Maintenance Awareness | Lists upcoming and active maintenance events for planning. |
| Field Name | Field Description |
|---|---|
| overall_status | High-level platform status indicator. |
| components | List of services with individual status values. |
| incidents | Active or unresolved incidents affecting services. |
| incident_updates | Latest messages and progress updates for incidents. |
| maintenances | Scheduled or ongoing maintenance events. |
| timestamps | Time information for incidents and maintenance activities. |
[
{
"overall_status": "degraded_performance",
"components": [
{
"name": "Droplets",
"status": "operational"
},
{
"name": "Spaces",
"status": "degraded_performance"
}
],
"incidents": [
{
"title": "Increased latency in Spaces",
"status": "investigating",
"started_at": "2025-03-14T09:12:00Z"
}
],
"maintenances": []
}
]
DigitalOcean Status Scraper/
├── src/
│ ├── main.py
│ ├── fetcher.py
│ ├── parser.py
│ └── utils.py
├── data/
│ └── sample_output.json
├── tests/
│ └── test_parser.py
├── requirements.txt
└── README.md
- DevOps teams use it to monitor DigitalOcean services automatically, so they can respond quickly to outages.
- SaaS operators track incidents to inform customers before issues escalate.
- Monitoring engineers integrate the output into dashboards to centralize infrastructure health.
- Support teams reference incident data to provide accurate status updates.
Does this scraper provide real-time updates? It reflects the current state of the status page at the time of execution. Running it on a schedule enables near real-time monitoring.
Can I integrate the output with my monitoring system? Yes, the structured JSON output is designed to plug into dashboards, alerting tools, or log pipelines.
Are historical incidents included? The focus is on active and unresolved incidents, along with upcoming or ongoing maintenance, rather than long-term history.
Primary Metric: Average fetch and parse time of under 1 second per run.
Reliability Metric: Consistently processes status updates with a success rate above 99% in repeated executions.
Efficiency Metric: Minimal resource usage, typically under 50 MB of memory during runtime.
Quality Metric: High data completeness, capturing all visible components, incidents, and maintenance events from the status page.
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