Relevance Lab - Agentic AI for SRE & Incidents

Relevance Lab Agentic AI for SRE and Incident Response Relevance Lab's agentic AI platform enables Site Reliability Engineering, DevOps, platform engineering, and IT support teams to investigate infrastructure, logs, alerts, and ITSM data using natural language. Instead of manually navigating dashboards, log analytics platforms, or command-line interfaces, teams ask operational questions in plain English and receive actionable, context-aware responses in seconds. ## How It Works: A Real-World Scenario An on-call engineer receives an alert about service degradation in a production microservices environment. Rather than switching between CloudWatch, ELB access logs, and application traces across multiple AWS accounts, the engineer asks: "What is causing elevated 5xx errors on the checkout service?" The platform correlates CloudWatch metrics with load balancer logs, identifies a failing downstream dependency, and surfaces the root cause - all through a single conversational query in Microsoft Teams or Slack. What previously required 30+ minutes of manual investigation across multiple tools is completed in a single interaction. ## Key Capabilities - Natural language investigation of infrastructure, logs, alerts, and operational data across AWS services and third-party platforms - AI-assisted root-cause analysis that correlates signals across monitoring, logging, security, and ITSM systems to identify probable causes - Cross-account AWS investigation through secure IAM role assumption - no long-lived credentials required, enabling teams to query multiple AWS accounts conversationally - Microsoft Teams and Slack integration for conversational operations directly within existing collaboration workflows - Extensible architecture supporting custom toolsets and Model Context Protocol (MCP) integrations for organization-specific operational workflows - Secure credential management using EC2 IAM instance roles and AWS Systems Manager Parameter Store exclusively ## What Makes This Platform Different Unlike traditional AIOps platforms that rely on pre-built correlation rules or require data export to external systems, Relevance Lab's agentic AI performs live, on-demand investigation across your AWS accounts and connected platforms using conversational AI. Its cross-account IAM role assumption model means operational data never leaves your AWS environment, and its MCP-based extensibility allows teams to add custom investigation capabilities without vendor involvement. ## Deployment and Requirements The Marketplace AMI is delivered as a preconfigured Ubuntu 24.04 image designed for rapid deployment. A guided setup process configures AI model connectivity, AWS integrations, operational toolsets, and collaboration platforms. Prerequisites: - EC2 instance with IAM instance role configured for target AWS services - Cross-account IAM roles for multi-account investigation - AWS Systems Manager Parameter Store access for secure configuration storage - Network connectivity to integrated observability and ITSM platforms - AI model provider API access (configured during guided setup) Security: - Authentication relies exclusively on EC2 IAM instance roles - no long-lived AWS credentials - Sensitive configuration stored in AWS Systems Manager Parameter Store - Cross-account access governed by IAM role trust policies you control ## Supported Integrations The platform integrates with AWS services (CloudWatch, ELB, WAF, Systems Manager, and more) alongside leading observability platforms, log analytics tools, ITSM systems, alerting platforms, and collaboration tools. It can investigate metrics, infrastructure resources, application logs, security events, load balancers, web application firewalls, incidents, and service tickets while correlating information across multiple data sources. ## Getting Started Launch the AMI, complete the guided setup to connect your AI model provider and AWS accounts, configure your preferred collaboration platform (Teams or Slack), and begin investigating production environments. Contact Relevance Lab for a guided demo or pilot engagement to evaluate the platform in your environment.