Motadata ObserveOps

Motadata ObserveOps (formerly known as AIOps) is a unified observability platform from Mindarray Systems Pvt. Ltd. It brings metrics, logs, flows, traces, and topology into one correlated view across on-premises, private cloud, public cloud, and hybrid environments. The platform replaces separate network monitoring, log analytics, flow analysis, APM, and AIOps point tools with a single backend, so teams stop switching between consoles to trace one issue.

What It Does

ObserveOps is built on Motadata's proprietary Deep Learning Framework for IT Operations (DFIT). DFIT handles causation-based correlation, anomaly detection, noise reduction, forecasting, and alert correlation across every ingested signal. The AI is adaptive and does not require pre-training, which shortens time to insight compared with platforms that need weeks of baseline calibration.

Key Capabilities

Core capabilities include real-time metric monitoring, the Log Explorer with live tail and surrounding-log context, NetFlow and sFlow analysis with Sankey visualization, trace-based APM across Java, .NET, PHP, Node.js, Python, and Go, and Real User Monitoring for VueJS, Angular, ReactJS, and NextJS. Out-of-the-box coverage spans 100-plus applications and systems, with OpenTelemetry-native ingestion of OTLP traces, metrics, and logs.

Deployment and Differentiators

ObserveOps supports six deployment modes, including High Availability, Disaster Recovery, and High Availability over WAN, which suits regulated industries and distributed geographies. The triangulation of logs, metrics, and flows lets teams pinpoint root cause faster than tools that handle logs in isolation. Native integration with Motadata ServiceOps closes the loop from observability alert to ticket to resolution.