Getting started with Logs in Python

Quick Start

Get started with ByteHide Logs in Python by following our step-by-step guide.

What is ByteHide Logs?

ByteHide Logs is a modern logging solution for Python applications, designed to provide:

• Centralized log management for all your services and environments
• Cloud and local file persistence with rotation and retention
• Data masking to protect sensitive information in logs
• Duplicate suppression to reduce log noise
• Structured and contextual logging for better analysis
• Seamless integration with Django, Flask, FastAPI, and other Python frameworks

Framework Integrations

Core Features

• Multi-level logging: Trace, Debug, Info, Warn, Error, Critical
• File and cloud persistence: Store logs locally or send to ByteHide Cloud
• Data masking: Automatically mask sensitive fields in logs
• Duplicate suppression: Prevent log flooding from repeated messages
• Structured logging: Add context, metadata, and tags to every log
• Correlation IDs: Track requests across distributed systems
• Environment-based configuration: Easily switch between dev, staging, and prod setups

Getting Started

1. Create a ByteHide Project
2. Install ByteHide Logs in your project
3. Configure logging for your environment
4. Start logging events, errors, and metrics

Next Steps

• Explore logging features
• Set up cloud analytics and alerts