Dozzle is a lightweight, self-hosted solution that provides a real-time look into your container logs, offering an intuitive UI, real-time logging, intelligent search, and support for multiple use cases like home labs and local development.
This article details the author's experience setting up and using ntfy.sh, a self-hosted push notification service. It highlights the benefits of self-hosting for control, privacy, and performance, and its ease of setup, especially on low-resource devices like Raspberry Pis. It also discusses integrations with tools like Home Assistant and Uptime Kuma, and acknowledges some limitations for users unfamiliar with command-line tools.
PostHog is an all-in-one, open-source platform providing web and product analytics, session recording, feature flagging, and A/B testing. It supports self-hosting and offers functionalities such as event-based analytics, user and group tracking, data visualizations, session replays, heatmaps, feature flags, experiments, surveys, and more.
This skill path by Bryce Yu guides users through the basics of managing databases on Kubernetes using KubeBlocks. It covers installation, deployment, upgrades, backup, observability, and auto-tuning of database clusters.
An introduction to Ntfy, a self-hosted push notification server. Learn how to set it up using Docker, configure authentication, and start sending and receiving notifications.
Save 90% of time searching and browsing logs with Logdy, a tool that provides a powerful and secure UI for log management, supporting any format and offering a low-code TypeScript log parser.
Explore how LocalStack serves as a drop-in replacement for AWS, allowing developers to test and develop AWS services locally.
klogg is an open-source multi-platform GUI application for searching through text log files using regular expressions. It offers various features like handling large files, fast searching, and color-coded results.
The article discusses the challenges and strategies for load testing and infrastructure decisions when self-hosting Large Language Models (LLMs).
The author explains their decision to build a home lab using Raspberry Pis, Kubernetes, and 3D printing, providing reasons such as gaining exposure, experimenting with complex architectures, becoming a T-shaped engineer, and the cost-effectiveness of DIY projects.
