Motadata AIOps is a platform for enterprises to enable their IT teams with context to prevent service disruptions in complex, modern IT environments. Unify data-collection, full-stack monitoring and remediation by ingesting metrics, dependency data, events, and traffic & logs data. Gain visibility into network components across all cloud and on-premises systems to immediately alert, isolate and resolve any network issue before it affects IT service delivery.
Mota Agent
Agent-based data collection with granularity as low as 1 sec
Mota Mapper
Run-time dependency scanning for Topology, correlation & RCA
Mota Store
Index-less, Type-less, and Schema-less Datastore
Mota AI
AI/ML-powered anomaly detection and forecasting for capacity planning
Motadata AIOps – Network Observability
Motadata’s Network Observability provides complete visibility into an organization’s network through continuous data collection and AI-driven correlation. It processes a wide range of data collected from cloud networks & services, SD-WAN, hybrid networks, and many more. Monitor across on-prem and cloud infrastructure and isolate events from logs, metrics, traffic, and streaming data for enhanced observability.
Key Features
- Monitor metrics, traffic, streaming and log data
- Baselining on KPIs and traffic data
- Automated network topology mapping and analysis
- In-depth Dependency data mapping
- AI-driven Correlation
- Built-in Anomaly detection and forecasting
- Quicker RCA with cross-domain correlation
- Built-in Automation runbook engine
- Extend capabilities with custom Plugins
- Intelligent Alerting
Motadata AIOps – Infrastructure Monitoring
A unified platform for monitoring, log indexing, visualizing, and alerting events across a hybrid infrastructure. It enables IT leaders to deliver business outcomes through data-driven decisions. Our broad coverage, simplified deployment, and easy-to-use interface help the IT and DevOps teams to troubleshoot on-prem and cloud infra issues more effectively.
Key Features
- Agent-based and Agent-less monitoring
- Broad monitoring coverage including public cloud
- One agent for metrics, packets, logs data
- Dependency mapping & correlation
- Intelligent alerting powered by AI
- Anomaly detection and baselining of data
- Pre-define dashboard, templates & reports
- Dynamic log parsing & indexing
- Scale to billions of metrics
- Policy-driven automated asset baseline
- Log collection and processing
- Dynamic report builder
Motadata AIOps – Log Analytics
Collect, analyze, monitor, and visualize the log data for rapid investigation, troubleshooting, and higher-level analytics with Motadata Log Analytics. Its collection methods unify logs, metrics, and streaming data for a centralized view. As logs are forwarded, Motadata clusters the received log data in real-time and intelligently surfaces trends in log activity.
Key Features
- AI based alerting to detect anomaly on log patterns
- Agent-based and Agent-less log collection
- Log clustering in real-time
- Log pattern analytics across millions of logs
- Search, filter, and analyze logs on the fly
- Log live trail to access any log in real-time
- Dynamic log parsers to enrich logs
- Auto-parsing for network, infra, cloud and JSON logs
- Custom log parsing apps support