https://logdy.dev/blog/post/web-based-logs-viewer-ui-for-local-development-environment Skip to content [logdy-tran]Logdy SearchK Main NavigationHomeDocsDemoDownloadBlog Appearance Menu Return to top Sidebar Navigation PM2 log viewer and web UI Nodejs & nodemon logs parser & viewer UI Mongodb log parser and viewer UI Nginx webserver log parser and viewer UI Apache HTTP webserver log parser and viewer UI Web based logs viewer UI for local development environment On this page Table of Contents for current page Web based logs viewer UI for local development environment In this blog post we'll try to present to you how easy it is to setup a Web based UI that allows you to format messy local development logs and browse them. Download precompiled Logdy binary Enter release page on Github and select recent release. Download a precompiled binary. bash # Example URL address wget https://github.com/logdyhq/logdy-core/releases/download/v0.2.0/logdy-core_darwin_arm64 More compliation target You can find more precompiled libraries on the Github release page. We always always build for the following OS and architecture: linux/ amd64 windows/386 windows/amd64 darwin/amd64 darwin/arm64 linux/arm64 Add Logdy to PATH for easier use Refer to this How to Run Logdy To illustrate this example, we're going to use Node.js. Node.js is a powerful open-source, cross-platform JavaScript runtime environment that allows developers to execute server-side code using JavaScript.Developed on the V8 JavaScript engine by Google, Node.js facilitates building scalable and high-performance applications. With its non-blocking, event-driven architecture, Node.js is particularly well-suited for real-time applications and has gained popularity for its efficiency in handling concurrent connections. bash # Assuming logdy is added to PATH logdy stdin 'node app.js' Enter Logdy web UI Visit the address provided in the console output after starting Logdy, by default it should be http://localhost:8080 Display columns and filters Logdy makes parsing and column selection a breeze. Use a built in "autogenerate" feature to generate columns based on JSON object present. Then you can make any adjustments and customizations. Based on the columns you can also emit facets or use another great feature to generate those automatically. With a JSON object in place, you can use Auto-generated columns together with Faceted columns. 'Autogenerate columns' Last updated: Previous pageApache HTTP webserver log parser and viewer UI Copyright (c) 2023-present Logdy