Your incidents hold the blueprint to your most strategic infrastructure wins — if you're listening correctly.

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Zalando engineering team developed an AI-powered pipeline using LLMs to analyze thousands of postmortem documents, transforming manual incident analysis from a time-consuming process into automated pattern detection. The multi-stage system processes postmortems through summarization, classification, analysis, and pattern detection phases, reducing analysis time from days to hours while uncovering systemic issues in datastore technologies like Postgres, DynamoDB, and ElastiCache. Despite challenges with hallucinations and surface attribution errors, the solution successfully identified recurring failure patterns related to configuration, deployment, and capacity management, leading to concrete infrastructure improvements and investment decisions.

Dead Ends or Data Goldmines? Investment Insights from Two Years of AI-Powered Postmortem Analysis

Deploying AI: Automating Postmortem Analysis