Faasera Documentation

Getting Started with Faasera

Welcome to Faasera! This guide will walk you through the quickest way to get started with Faasera — whether you’re a developer, data engineer, or compliance lead.

What You Can Do with Faasera

Installation Options

Choose one of the following:

No setup required. Contact support@faasera.ai for a trial account.

Option 2: Local Docker Environment

git clone https://github.com/faasera/faasera-platform.git
cd faasera-platform
docker-compose up -d

Access the UI at: http://localhost:8080

Option 3: Use SDK or Cloud Function

See:

Prerequisites

Tool Required For
Docker / Docker Compose Local UI platform
Java 11+ or PySpark SDK-based masking
Postgres / MySQL / Snowflake Test connection setup
AWS CLI or Azure CLI Cloud function deployment

Directory Structure

faasera-platform/
├── api/                 # REST backend (Java/Micronaut or Spring Boot)
├── ui/                  # React-based frontend
├── config/              # Default policy examples and templates
├── sdk/                 # Java / PySpark SDK
├── examples/            # Sample pipelines and scripts
└── docker-compose.yml   # Local orchestration

First Workflow Example (UI Mode)

  1. Login to Faasera UI
  2. Create a new Project → Environment → Connection
  3. Upload a dataset or connect to a database
  4. Run Profiler → Review identified fields
  5. Define masking policy → Run masking job
  6. Download or preview masked output
  7. View risk dashboard or audit trail

First Workflow Example (SDK Mode)

FaaseraEngine engine = FaaseraEngine.builder()
    .withPolicy("masking-policy.yaml")
    .withInput("jdbc:postgresql://...")
    .withOutput("masked_output.csv")
    .build();

engine.runMasking();

Next Steps

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