Incident investigation is challenging in today’s digital environment, where expansive systems include numerous interconnected elements and dependencies.
DrP is Meta’s root cause analysis (RCA) platform that automates investigations, significantly decreasing mean time to resolve (MTTR) incidents and easing on-call burdens.
Currently, DrP serves over 300 teams at Meta with 50,000 analyses daily, effectively reducing MTTR by 20-80%.
Understanding DrP and its features unlocks new opportunities for efficient incident resolution and enhanced system reliability.
The Solution
DrP automates the investigation process for large systems, overcoming the inefficiencies of manual approaches that rely on outdated playbooks and sporadic scripts, which can result in longer downtimes and more on-call stress as engineers work through incidents.
DrP offers a comprehensive toolkit with an SDK for creating investigation playbooks, or analyzers, executed by a scalable backend that integrates with standard workflows like alerts and incident management. Additionally, DrP includes a system to automate actions based on investigation results.
Key components of DrP include:
- SDK: Enables engineers to encode investigation workflows into analyzers, featuring helper libraries and machine learning (ML) algorithms for tasks like anomaly detection and time series correlation.
- Backend: Executes analyzers in both multi-tenant and isolated environments, supporting large-scale operations with thousands of analyses daily.
- Workflows Integration: Connects with alerts and incident management tools, enabling analyzers to auto-trigger during incidents, providing immediate results to engineers.
- Post-Processing: Automates actions post-investigation based on results, like creating tasks or pull requests for identified issues.
Operation
Building Process
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