Debugging Guide

GDP Labs use Sentry for tracing, ELK for logging, and Prometheus for metrics monitoring. This guide provides tutorials and tips on using those observability tools to help debugging your project. By integrating these tools, businesses gain improved visibility into applications and infrastructure. They enable faster issue resolution, enhance performance monitoring, and provide insights to optimize operations.

Getting Started with Observability

Add Observability to Python Project

You can add observability into your Python projects using the GL Observability SDK. See tutorial for more details.

Observability Tools

Here's a brief overview of the tools.

Sentry

Sentry provides real-time error tracking and crash reports for your applications. It enables developers to diagnose and fix issues faster by offering detailed stack traces, contextual information, and user impact insights. For a comprehensive guide on using Sentry, please visit the Sentry Tutorial.

ELK Stack (Elasticsearch, Logstash, Kibana)

The ELK Stack is a powerful log management solution. It collects logs and events data from various sources, processes it, and visualizes the data, allowing for comprehensive analysis:

• Elasticsearch stores and indexes log data for fast search and retrieval.

• Logstash processes and transforms incoming data.

• Kibana visualizes and analyzes the logs in an intuitive user interface.

For a comprehensive guide on using ELK, please visit the ELK Tutorial.

Prometheus

Prometheus is a robust metrics monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays results, and triggers alerts:

• Data Collection: Prometheus gathers data by scraping HTTP endpoints.

• Data Storage: It stores metric data using a time-series database.

• Alerting: Configurable alerting rules to notify users about potential issues.

For a comprehensive guide on using Prometheus, please visit the Prometheus Tutorial.