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NoFire

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Automate incident resolution with AI-driven analysis.

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DevOps AI Detection QA

Overview

NOFire is an AI-powered incident resolution platform built for SREs and on-call engineers, reducing MTTR by up to 90% through automated investigations, causal AI, and seamless infrastructure integration.

Key Features:

  • Automated root cause analysis and guided resolutions powered by GenAI + Causal AI
  • Seamless integration with infrastructure and observability tools like Grafana, Slack, AWS, and Kubernetes
  • LLM-flexible architecture supporting Anthropic, OpenAI, Mistral, and self-hosted models

Use Cases:

  • Accelerating incident resolution and reducing SLA breaches
  • Reducing alert fatigue and engineering burnout with intelligent triage
  • Scaling incident response across cloud-native infrastructures with thousands of nodes

Benefits:

  • Up to 90% faster time to resolution (MTTR) for critical incidents
  • Lower downtime costs and improved reliability across production systems
  • Increased SRE productivity with a 24/7 AI co-pilot for incident management

Capabilities

  • Automates root cause analysis for faster incident resolution.
  • Integrates with cloud-native infrastructures (e.g., AWS, Kubernetes, Google Cloud).
  • Connects to observability tools (e.g., Grafana, Datadog, Slack).
  • Analyzes observability signals (metrics, logs, traces) to identify cause-effect relationships.
  • Prioritizes alerts to reduce alert fatigue for SREs.
  • Assesses incident impact on user experience and business metrics.
  • Recommends mitigation actions based on past incidents and best practices.
  • Supports various LLMs (OpenAI, MistralAI, Lama3.2) and versions, including self-hosted options.
  • Removes PII and sensitive information before AI processing.
  • Scales to support infrastructures with thousands of nodes.
  • Employs a knowledge graph to aggregate and organize incident-related data.

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