#docker

Learn how to create your own SSL Certificate Authority (CA) and use it to issue certificates for local development sites.

Monitoring the performance and health of applications and services is crucial for ensuring reliability and scalability.

Prometheus is a popular open-source monitoring and alerting toolkit that collects metrics from configured targets at specified intervals.

In this tutorial, we will explore how to create a custom Prometheus exporter in Python using `prometheus-client`, and integrate it with Prometheus and Grafana using Docker.

In today's web development landscape, deploying web applications requires a robust architecture that ensures scalability, security, and optimal performance.

This blog post explores the deployment of a Flask application using NGINX as a reverse proxy server and uWSGI as a WSGI server.

This architecture not only enhances the application's ability to handle high traffic but also improves security through SSL/TLS encryption and provides efficient load balancing capabilities.

Celery, a robust Python-based asynchronous task queue, is essential for managing distributed tasks like email sending, data processing, and job scheduling. Monitoring Celery's performance and metrics is crucial for maintaining application reliability and efficiency.

Prometheus is a leading monitoring system that gathers real-time metrics from various sources, offering efficient time-series data storage. Grafana provides customizable dashboards for visualizing metrics, enabling teams to monitor system performance effectively.

Integrating Prometheus and Grafana with Celery allows teams to monitor metrics such as task execution times, queue lengths, worker activity, and resource utilization. This setup supports proactive bottleneck identification, performance optimization, and ensures smooth operation of Celery-based applications.

Django, a high-level Python web framework, is widely used for building robust web applications. Monitoring Django applications is essential for ensuring optimal performance, identifying bottlenecks, and maintaining system reliability.

Prometheus is a powerful monitoring system that collects real-time metrics from various sources, offering efficient time-series data storage.

Grafana provides customizable dashboards for visualizing metrics, enabling teams to monitor system performance effectively.

Integrating Prometheus and Grafana with Django allows teams to monitor key metrics such as request response times, database queries, cache hits, and resource utilization. This setup supports proactive issue identification, performance optimization, and ensures smooth operation of Django applications.