Structured Logging for Django
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Updated
Nov 10, 2026 - Python
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Structured Logging for Django
Google Cloud Logging formatter for structlog
A multi-purpose, pre-configured, performance-optimized structlog logger with (optional) Sentry integration via structlog-sentry
opinionated python (structured) logging library built on structlog
A comprehensive structlog configuration with sensible defaults for development and production environments, featuring context management, exception formatting, and path prettification.
Lightweight bootstrap for production-ready Python microservices
python bootstrap microservices sentry healthcheck prometheus structlog fastapi opentelemetry litestar faststream fastmcp
Simple FastAPI Template
docker postgres sqlalchemy rabbitmq ci docker-compose vector prometheus pytest loki structlog fastapi faststream
Nameko extension exposing a structlog dependency injector
Sample django app - Make log events from structlog similar to log events from logging for Sentry
Python library to format logs as GCP-compatible JSON.
ZLogger Kit is a simple logging kit that abstracts structlog to provide a more intuitive and flexible logging experience. It includes middleware for logging requests and responses, supporting priority levels P10, P20, P30, P40 for log levels: WARNING, INFO, DEBUG, ERROR.
Production-ready Python web service template on Litestar — clean architecture, dishka DI, JWT auth + RBAC, NATS via FastStream, observability out of the box
python redis template jwt async example postgresql prometheus nats clean-architecture pytest alembic rbac structlog dependency-in sqalchemy litestar faststream dishka import-linter
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