Small Hours

24/7 automated root cause analysis, minimizing downtime, and maximizing efficiency.

CommonProductProductivityAutomationRoot Cause Analysis

Small Hours Assistant is an AI tool designed for developers, assisting in reducing system failure time and enhancing work efficiency through 24/7 automated root cause analysis. It supports various programming languages and frameworks, seamlessly integrating with existing codebases and operational manuals, providing intelligent troubleshooting and problem-solving recommendations. The product is developed by a team of former Amazon engineers dedicated to contributing to the open-source community.

Supports OpenTelemetry for seamless integration with any tech stack.
Connects via existing alert systems to identify critical issues.
Guides the AI assistant in troubleshooting using current configurations and operations manuals.
Intelligently categorizes issues and generates pull requests.
Supports popular programming frameworks like NextJS
FastAPI
Django
and more.
Provides continuous metric and log monitoring to capture user-affecting issues.
Supports open-source software and is committed to community contributions.

\The target audience comprises developers and operations engineers
particularly teams that need to enhance system stability and response speed to failures. Small Hours Assistant helps them quickly identify and resolve issues through automated analysis and intelligent suggestions
thereby reducing system downtime and improving work efficiency.\

An e-commerce platform used Small Hours Assistant to quickly locate and resolve issues in their payment system.
A fintech company utilized the assistant to achieve 24/7 monitoring and automatic recovery for their trading system.
A gaming company optimized their server load balancing through Small Hours Assistant
reducing player wait times.

Visit the Small Hours official website and register an account.
Choose integration options that suit your technology stack.
Follow the guidelines to integrate Small Hours Assistant with your codebase and operations manual.
Set up alerting systems to ensure the assistant receives real-time system status updates.
Use the assistant for issue debugging and observe its analysis results and suggestions.

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