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Install AWS Loggy using Winget - wingetCollections
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AWS Loggy Steampunk Labs

aws cloudwatch devtools lambda logs monitoring
Use this command to install AWS Loggy:
winget install --id=SteampunkLabs.AWSLoggy -e

Loggy is a desktop application designed to streamline the process of viewing and managing AWS CloudWatch logs. Built with performance in mind, Loggy offers developers and DevOps engineers a powerful tool for real-time log monitoring and analysis.

Key Features:

  • Live Tail Streaming: View new log events as they are generated, ensuring you never miss critical updates.
  • Instant Filtering: Apply client-side filters to narrow down logs without waiting for AWS responses.
  • Log Level Detection: Automatically colorize logs based on severity levels (ERROR, WARN, INFO, DEBUG, TRACE, SYSTEM) for quick identification.
  • JSON Query Syntax: Filter logs using structured queries like field:value or nested.field:value.
  • Find-in-Log: Search within selected log entries with regex support and options for case sensitivity and whole-word matches.
  • Keyboard-Driven Navigation: Use shortcuts to focus on filters, find text, refresh logs, and more.

Audience & Benefit:
Ideal for developers and DevOps teams working with AWS CloudWatch, Loggy helps save time by providing instant access to relevant logs. Its native performance, built using Tauri, ensures smooth operation even when handling large volumes of data. The ability to customize log level colors and detection patterns makes it a flexible tool for different workflows.

Loggy can be installed via winget, ensuring seamless integration into your development environment.

README

Loggy

CI Release

A fast, native desktop app for browsing and tailing AWS CloudWatch logs.

Loggy Screenshot

Features

  • Live Log Tailing - Stream new log events in real-time with auto-scroll
  • Instant Filtering - Client-side filtering as you type (no AWS roundtrip)
  • JSON Query Syntax - Filter by JSON fields with field:value or field.nested:value
  • Log Level Detection - Automatic colorization based on log level (ERROR, WARN, INFO, DEBUG, TRACE, SYSTEM)
  • Customizable Colors - Configure log level colors and detection patterns via Settings (Cmd-,)
  • JSON Syntax Highlighting - Collapsible, colorized JSON viewer for structured logs
  • Find in Logs - Search within the selected log entry with regex, case-sensitive, and whole-word options
  • Context Menu - Right-click for quick access to Copy, Find, Filter, Refresh, and Clear actions
  • Virtualized Rendering - Smooth scrolling through 50,000+ log entries
  • Native Performance - Built with Tauri for small bundle size and low memory usage
  • Persistent State - Remembers your last selected log group across sessions

Prerequisites

  • Node.js 18+
  • Rust (latest stable)
  • AWS credentials configured via:
    • AWS CLI profiles (~/.aws/credentials)
    • AWS SSO
    • Environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY)
    • IAM roles (when running on EC2/ECS)

Installation

Homebrew (macOS)

brew tap aegixx/aws-loggy
brew install --cask aws-loggy

WinGet (Windows)

winget install SteampunkLabs.AWSLoggy
Versions
3.11.1
3.10.0
3.9.3
3.9.2
3.9.1
3.9.0
Website
github.com
License
Last updated
3/26/2026
Download latest version

Pre-built Binaries

Download the latest release for your platform from the Releases page:

  • macOS: .dmg installer (Apple Silicon and Intel)
  • Windows: .msi or .exe installer
  • Linux: .deb, .AppImage, or .rpm

From Source

# Clone the repository
git clone https://github.com/aegixx/aws-loggy.git
cd aws-loggy

# Install dependencies
npm install

# Run in development mode
npm start

# Build for production
npm run app:build

The built application will be in src-tauri/target/release/bundle/.

Usage

  1. Select AWS Profile - Loggy uses your default AWS credentials.

  2. Choose Log Group - Use the dropdown to select a CloudWatch log group from your account.

  3. Browse Logs - View historical logs with automatic time range selection.

  4. Live Tail - Click the tail button to stream new logs in real-time.

  5. Filter Logs - Type in the filter bar to instantly filter displayed logs:

    • Simple text: error matches any log containing "error"
    • JSON field: level:error matches logs where the level JSON field equals "error"
    • Nested field: user.id:123 matches nested JSON fields

  6. Toggle Log Levels - Click level badges (ERROR, WARN, INFO, DEBUG, TRACE, SYSTEM) to show/hide specific levels.

  7. View Details - Click any log row to expand and see the full message with JSON highlighting.

Keyboard Shortcuts

ShortcutAction
⌘F / Ctrl+FFind text in logs
⌘L / Ctrl+LFocus filter input and select all
⌘R / Ctrl+RRefresh - reconnect to AWS and re-query logs
⌘K / Ctrl+KClear logs (keep filters, re-fetch)
⌘, / Ctrl+,Open Settings
⌘A / Ctrl+ASelect all visible logs
⌘C / Ctrl+CCopy selected messages to clipboard
TabFocus log viewer for keyboard navigation
↑ / ↓Navigate between log rows
Page Up / DownJump one page at a time
Home / EndJump to first / last log
Space / EnterExpand / collapse selected log
EscapeClose dialogs / collapse expanded log

Development

# Run with hot reload
npm start

# Format code
npm run fmt

# Lint code
npm run lint

# Build production app
npm run app:build

Tech Stack

  • Backend: Tauri 2.x, Rust, AWS SDK for Rust
  • Frontend: React 19, TypeScript, Zustand, react-window, Tailwind CSS v4

Project Structure

loggy/
├── src-tauri/          # Rust backend
│   └── src/lib.rs      # Tauri commands & AWS integration
├── src/                # React frontend
│   ├── components/     # UI components
│   ├── stores/         # Zustand state management
│   └── types/          # TypeScript definitions
├── docs/
│   └── DESIGN.md       # Architecture documentation
└── CLAUDE.md           # AI assistant instructions

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Run formatting and linting (npm run fmt && npm run lint)
  4. Commit your changes using Conventional Commits:
    • fix: description for bug fixes (patch release)
    • feat: description for new features (minor release)
    • feat!: description or BREAKING CHANGE: for breaking changes (major release)
  5. Push to the branch (git push origin feature/amazing-feature)
  6. Open a Pull Request

Releases are automated via release-please based on conventional commit messages.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • Tauri for the excellent desktop framework
  • The AWS SDK team for the Rust SDK

Future (potential) features

  • (!) Control over default font size, family, & line height
  • On unfilter, scroll to maintain selected row position
  • Debug / application logging for better troubleshooting
  • Cloudwatch Filter Syntax support
  • Regex filter support (/pattern/)
  • Configurable datetime format
  • Saved/favorite queries
  • (!) Export to JSON/CSV
  • CloudWatch Logs Insights integration
  • (!) Multiple tabs / panes support - for viewing multiple streams simultaneously
  • Alternate file support (e.g. local files, Azure Log Analytics, etc.)
  • Multi-source aggregation (e.g. combine logs from multiple sources into a single view)
  • Multi-region support
  • Multi-account support
  • Timeline / histogram view based on volume
  • Stacked timeline view based on log level
  • Configurable Group By filters (i.e. by JSON path)
  • Load more button for loading logs outside of filtered time range
  • (?) Pagination support