Agent SRE for Agentic AI Observability

Product Features Agent SRE is an AI-powered observability and incident management platform that leverages a LangGraph-based multi-agent system to deliver autonomous, real-time incident detection, analysis, and remediation. It includes predictive monitoring to identify performance degradation before incidents occur and context-aware diagnostics that correlate telemetry data using vector similarity search and knowledge graphs. The platform enables self-healing infrastructure through AWS Lambda and Systems Manager and is deployed on Amazon EKS using a scalable microservices architecture powered by Bedrock-enabled agents. It integrates AWS services like CloudWatch and OpenSearch and supports third-party tools such as ServiceNow, Slack, Microsoft Teams, PagerDuty, and GitHub. Security is enforced via Zero Trust Architecture, IAM Identity Center, KMS encryption, and Secrets Manager, with a serverless and auto-scaling deployment across multiple availability zones.

Benefits Agent SRE delivers measurable operational improvements, including an 85% reduction in Mean Time to Resolution (MTTR) and a 92% decrease in alert fatigue. It helps organizations save up to $1.8 million annually by reducing downtime and shortens compliance preparation from weeks to days. Predictive remediation prevents 78% of major incidents, improving SLA adherence and system uptime. The platform also reduces operational overhead, increases engineering productivity, and ensures compliance with industry standards like SOC2, ISO27001, and PCI-DSS.

Usage The platform enables proactive incident prevention through AI-driven anomaly detection and automates resolution for known failure modes without manual intervention. It intelligently correlates alerts and filters noise for effective incident prioritization. Agent SRE provides real-time observability across AWS, Azure, and on-premise environments, supports SLA enforcement via policy-based automation, and integrates with ticketing, messaging, and CI/CD systems for streamlined workflows. Its AI models are trained using historical telemetry, logs, incidents, and runbooks.

Other Information

Agent SRE is designed for Site Reliability Engineering (SRE) teams, DevOps engineers, cloud operations, security analysts, and technology executives such as CTOs and CIOs. It serves industries that demand high availability and compliance, including e-commerce, fintech, healthcare, and telecom. Technical prerequisites include a Kubernetes cluster (preferably Amazon EKS), telemetry ingestion through CloudWatch/OpenSearch, IAM configuration, and integration with ticketing and messaging tools. It depends on access to telemetry, historical incidents, knowledge bases, and runbooks. The platform integrates deeply with AWS services such as Bedrock, Nova, EKS, Lambda, CloudWatch, OpenSearch, EventBridge, Systems Manager, Secrets Manager, and RDS. Its scalable, stateless design supports horizontal scaling with multi-AZ deployment and auto-scaling agents.