Overview
Transform Observability into Enterprise Intelligence Most organizations can detect failures, but few can understand how they spread. NucleusTeq Graph is an AI-powered Application Dependency Intelligence platform that sits above your existing observability stack to provide a real-time, comprehensive understanding of how applications, microservices, APIs, data pipelines, and business processes are interconnected. While modern telemetry pipelines generate millions of logs, traces, and metrics daily, engineering teams still face an "enterprise intelligence gap" when critical incidents occur. NucleusTeq Graph bridges this gap by turning raw telemetry and code repository insights into a living, context-aware system graph that helps teams move beyond simple alerting to true operational understanding. Predict Impact, Accelerate RCA, and Prevent Cascading Outages By continuously analyzing upstream and downstream relationships from code repositories to runtime telemetry, NucleusTeq Graph delivers action-oriented system intelligence. Its built-in Blast Radius Analysis and Failure Propagation Modeling allow SRE and DevOps teams to visualize exactly how an outage will cascade through downstream services before making code changes or initiating deployments. When incidents happen, the platform's AI-Powered System Learning automates root cause analysis, eliminating manual log-sifting during high-severity outages. Engineering teams gain complete Change Impact Intelligence, empowering them to assess deployment risks, prevent outages, and maintain high service availability across distributed cloud environments. NucleusTeq Graph deploys seamlessly within your AWS enterprise landscape, enhancing and orchestrating data from native AWS services and marketplace solutions: AWS Services: Amazon Elastic Kubernetes Service (Amazon EKS) or Amazon Elastic Container Service (Amazon ECS) for container orchestration; Amazon Neptune for scalable, graph-native storage of complex dependency models; Amazon OpenSearch Service for enterprise search; Amazon CloudWatch and AWS X-Ray for distributed telemetry, logs, and trace ingestion; and AWS Identity and Access Management (IAM) for secure, role-based governance. Third-Party Integrations: Connects directly with third-party observability providers, cloud data platforms, and telemetry collectors running on AWS—including Databricks on AWS and Snowflake on AWS—to map dependencies across data engineering pipelines, storage layers, and analytics workloads.
Highlights
- 1) Real-Time Dependency Intelligence: Maps live connections across applications, APIs, services, and pipelines above your existing observability stack. 2) Blast Radius & Change Impact: Simulates failure propagation and models deployment risks to predict outage impact before code changes hit production. 3) AI-Powered Root Cause Analysis: Automates telemetry correlation to isolate failure sources instantly, reducing MTTR without manual log-sifting.