BigPanda Pre-processor Builder

Lesson 1

String to Array Conversion

Learn how to convert JSON string data into proper array format for better data processing.

Lesson 2

Data Normalization

Master techniques for normalizing and standardizing incoming alert data structures.

Lesson 3

Advanced Filtering

Advanced filtering and extraction techniques for complex data transformations.

Lesson 4

System Correlation

Learn how to group and correlate alerts by system type using array functions.

Lesson 5

Performance Optimization

Optimize your transformation pipelines for high-volume alert processing.

Input Data

Data Format

Sample Data

Convert data to the following:

{
  "rankedEvents": [...],
  "environment": "production",
  "service": "web-app", 
  "startTime": 1697804400000,
  "endTime": 1697804700000,
  "displayName": "CPU High Alert",
  "impactLevel": "INFRASTRUCTURE",
  "status": "OPEN",
  "severityLevel": "ERROR",
  "rankedImpacts": [...],
  "timestamp": "1697804700"
}

Function Chain

🔧

Pre-processor Loader

Select:

💡 Load pre-built transformation pipelines from BigPanda integrations (AppDynamics, CloudWatch, Datadog, etc.)

Add functions from below to build your transformation pipeline

Output

{ "status": "ready", "message": "Click 'Process' to transform your data" }

Pre-processor Builder