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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