DevOps troubleshooting agents

    Agents that parse logs, metrics, and deployment events to diagnose incidents and recommend or execute remediation steps.

    Muhammad Zeeshan

    Technologies Used

    Python
    Docker
    Kubernetes
    LLMs
    AI Agents

    Key Features

    1

    Log and metric correlation across services

    2

    Runbook-aware remediation suggestions

    3

    Incident timeline reconstruction

    Implementation

    Connected observability feeds to agent toolchains that classify failure modes and surface ranked fix paths with command snippets.

    Results & Impact

    Shortened mean time to diagnosis for deployment and infrastructure regressions.