Wild Moose

Wild Moose is an AI-powered platform that autonomously handles production debugging and incident management for software development teams. By analyzing logs, metrics, and code, it provides actionable insights and fix suggestions, allowing developers to focus on innovation rather than troubleshooting.

Key features:

- Autonomous Debugging: AI-Moose conducts investigations by analyzing logs, metrics, and code to resolve issues before they escalate.
- Actionable Insights: Surfaces insights and provides fix suggestions to help developers quickly address and resolve production issues.
- Auto-generated Playbooks: Generates custom investigative tools and playbooks tailored to specific incidents for higher-tier plans.
- Real-time Collaboration: Enables developers to collaborate seamlessly within Slack, sharing insights and progress in real-time.
- Incident Management: Supports incident kickoff, status updates, and incident summaries to keep all team members informed.
- End-to-End Encryption: Ensures user data is encrypted at all times.
- On-Premise Option: Available for Business and Enterprise customers, ensuring data is accessed only within the user's network.

How it works:

1. Users interact with Wild Moose through a web app and Slack integration.
2. AI-Moose autonomously initiates investigations by engaging with logs, metrics, and code.
3. The system surfaces insights and provides fix suggestions.
4. If an issue is detected, AI-Moose pulls relevant data (e.g., HTTP response data from Datadog) and provides a snapshot of notable errors.
5. Developers collaborate within Slack to address the issue using the provided insights and suggestions.

Integrations:

Slack, Datadog, and for Business and Enterprise plans: additional observability data, codebase, CI/CD, and ticket management platforms.

Use of AI:

Wild Moose leverages generative AI to autonomously debug and manage incidents. The AI analyzes logs, metrics, and code to provide actionable insights and fix suggestions.

AI foundation model:

The specific AI foundation models or LLMs used are not detailed. Data Processor Agreements are established with LLM providers to ensure that data from Wild Moose is not used or stored for training purposes.

Target users:

- Individual Developers seeking to enhance their production debugging skills
- Development Teams aiming to improve product quality and incident response efficiency
- Large Organizations with custom needs at an enterprise scale, requiring tailored integrations and 24/7 premium support

How to access:

Wild Moose is available as a web app and integrates with Slack. It offers various pricing plans to cater to different user needs, from free plans for individual developers to enterprise plans for large organizations. The platform is not open source.