Motadata offers ObserveOps
Product
ObserveOps is an observability platform that correlates metrics, traces, logs, and flows with configuration data in one view.
- Currently Offered
ObserveOps is an observability platform that correlates metrics, traces, logs, and flows with configuration data in one view.
ObserveOps is an observability platform correlating metrics, traces, logs, flow data, and configuration into a single view. Motastore, the datastore within ObserveOps, is built to sustain observability workloads.
ObserveOps serves CIOs, IT directors, and NOC engineers. Its application performance monitoring traces distributed transactions while pinpointing code-level bottlenecks with AI-driven root-cause analysis.
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AI-powered observability platform delivering application performance monitoring, infrastructure monitoring, and digital experience management.
Unified observability platform for monitoring, investigating, and acting on data across hybrid and multi-cloud environments.
Unified observability platform built on the Elastic Stack for logs, metrics, traces, and security analytics.
Serverless observability platform whose metrics, logs, and traces run entirely on object storage with no sampling.
AI-native observability platform that autonomously detects, diagnoses, and fixes production errors.
Traces and quality metrics for agent web calls.
Open-source observability platform powered by OpenTelemetry for application performance monitoring and troubleshooting.
Agent observability service that records every production agent trace and finds silent failures without sampling.
AI-powered application performance monitoring with distributed tracing, metrics, and real-time analytics for full-stack visibility.
Observability for LLM applications and AI agents, tracing model calls, tool invocations, and agent handoffs.
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High-performance open-source observability stack powered by ClickHouse for unified logs, metrics, traces, and session replays at petabyte scale.
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