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AI News July 2024

Unlocking AI's Potential

Hatchet: Your AI-Powered Companion for Incident Triage and Investigation

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Meet Hatchet, your indispensable AI companion for on-call engineers, designed to revolutionize the way you handle critical incidents. Hatchet leverages advanced AI algorithms to analyze logs, communication channels, and code, providing actionable insights and even suggesting code fixes to resolve issues quickly and efficiently.

Key Features

Real-time log analysis: Hatchet monitors your logs in real time, identifying potential issues and suggesting investigative paths.

Automated code suggestions: Hatchet analyzes code to identify potential root causes of incidents and suggests code fixes to resolve them.

Comprehensive integration: Hatchet integrates with your existing alerting system, providing seamless incident triage and investigation.

On-prem data security: Your data remains secure with Hatchet’s on-prem deployment and zero telemetry, ensuring all processing occurs within your VPC.

Benefits

Reduced incident resolution time: Hatchet’s AI-driven insights and suggestions enable on-call engineers to resolve incidents faster, minimizing downtime and business impact.

Improved incident accuracy: Hatchet’s ability to analyze logs, comms channels, and code provides a comprehensive view of incidents, leading to more accurate diagnoses and resolutions.

Increased engineer productivity: By automating repetitive tasks and providing actionable guidance, Hatchet empowers on-call engineers to handle incidents more efficiently, freeing up time for other critical tasks.

Enhanced service reliability: Hatchet’s proactive approach to incident resolution helps prevent future occurrences, improving the overall reliability and stability of critical services.

Use Cases

A tier-1 service at a Series C company experienced frequent critical incidents, leading to significant downtime and revenue loss. By deploying Hatchet, the on-call engineers were able to triage and investigate incidents 10x faster, identify the root causes accurately, and implement code fixes to prevent future occurrences.

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