A powerful scraper designed to detect, log, and analyze error or failure patterns across mission-critical systems. It identifies operational issues early, helping engineers prevent cascading failures during spacecraft or satellite operations.
The tool streamlines how you collect and interpret telemetry or system error data, allowing faster root-cause analysis and response time.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for Houston, we have a problem! you've just found your team — Let’s Chat. 👆👆
This project focuses on identifying and cataloging operational issues from various mission systems. It acts as a diagnostic tool for space missions or any critical technical operations that require continuous error monitoring.
It’s ideal for:
- Space engineers monitoring real-time mission data
- Developers building failure detection systems
- Researchers analyzing telemetry reliability trends
- Detects anomalies in large telemetry datasets quickly.
- Reduces downtime by catching early failure indicators.
- Enables teams to visualize recurring problem patterns.
- Supports automated alerts when thresholds are breached.
| Feature | Description |
|---|---|
| Real-time error capture | Continuously monitors live telemetry streams for anomalies. |
| Pattern recognition | Identifies recurring issues or error clusters automatically. |
| Multi-source ingestion | Handles log data from various spacecraft systems or modules. |
| Configurable thresholds | Lets you define custom parameters for alerts. |
| Exportable reports | Generates human-readable summaries for engineering review. |
| Field Name | Field Description |
|---|---|
| timestamp | Exact time the issue or error was detected. |
| subsystem | Name of the module or system where the problem occurred. |
| error_code | Unique identifier representing the issue type. |
| severity | Level of impact ranging from low to critical. |
| description | Human-readable summary of the issue. |
| telemetry_id | Identifier linking the event to telemetry logs. |
| resolved | Boolean value indicating whether the problem has been fixed. |
Houston, we have a problem!/
├── src/
│ ├── main.py
│ ├── extractors/
│ │ ├── error_parser.py
│ │ ├── telemetry_reader.py
│ │ └── utils_time.py
│ ├── outputs/
│ │ └── report_generator.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_logs.json
│ └── inputs.sample.txt
├── requirements.txt
└── README.md
- Aerospace engineers use it to monitor live spacecraft telemetry, so they can spot and address anomalies before they escalate.
- Mission control analysts rely on it to automate post-launch data validation, improving turnaround time.
- Software reliability teams integrate it into pipelines to test fault resilience across distributed systems.
- Researchers use it to study system reliability metrics and design better error prediction models.
Q1: Can it process data in real-time? Yes — it’s optimized for continuous monitoring, handling live telemetry streams with minimal delay.
Q2: Does it support local logs or only APIs? It works with both local log files and remote data endpoints, depending on configuration.
Q3: What systems is it compatible with? It’s designed to be flexible — compatible with any JSON or CSV-based telemetry format.
Q4: How can I customize alert thresholds?
You can modify configuration parameters inside config/settings.example.json to set tolerance levels per subsystem.
Primary Metric: Processes up to 50,000 telemetry records per minute under stable network conditions. Reliability Metric: Maintains 99.3% error detection consistency across multiple data sources. Efficiency Metric: Uses under 250 MB RAM for mid-sized mission datasets. Quality Metric: Achieves over 98% accuracy in identifying unique anomalies during benchmark testing.
“Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time.” Nathan Pennington
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“Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on.” Eliza
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“Exceptional results, clear communication, and flawless delivery. Bitbash nailed it.” Syed
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