Motadata AIOps Features
What are the features of Motadata AIOps?
Functionality
- Performance Monitoring
- Alerting
- Improvement Suggestions
- Multi-Network Capability
Management
- Performance Baseline
- Data Visualization
- Path Analysis
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Motadata AIOps Categories on G2
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Functionality
Performance Monitoring | Based on 22 Motadata AIOps reviews. Continuously monitors network performance across the entire span of a network. | 92% (Based on 22 reviews) | |
Alerting | Sends alerts via pop-up notifications, texts, emails, or calls regarding network issues or failures. 22 reviewers of Motadata AIOps have provided feedback on this feature. | 88% (Based on 22 reviews) | |
Improvement Suggestions | Based on 21 Motadata AIOps reviews. Suggests potential remedies or improvements to slowdowns, errors, or failures. | 83% (Based on 21 reviews) | |
Multi-Network Capability | As reported in 21 Motadata AIOps reviews. Provides monitoring capabilities for multiple networks at once. | 90% (Based on 21 reviews) | |
Diverse Systems Monitoring | Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks. | Not enough data | |
Real-Time Analytics | Generate real-time high-level and/or in-depth analytics regarding monitored systems activity. | Not enough data | |
Observability | Generate insights into IT systems utilizing event metrics, logging, traces, and metadata. | Not enough data | |
AI/ML Integration | Integrate AI and/or machine learning capabilities to identify and address potential and active failures and errors. | Not enough data |
Management
Performance Baseline | As reported in 21 Motadata AIOps reviews. Sets a standard performance baseline by which to compare live network activity. | 91% (Based on 21 reviews) | |
Data Visualization | Based on 21 Motadata AIOps reviews. Charts or graphs live and historical network performance for quick status checking and analysis. | 90% (Based on 21 reviews) | |
Path Analysis | Based on 21 Motadata AIOps reviews. Gives insights into which specific network paths are performing suboptimally. | 88% (Based on 21 reviews) | |
Single Pane of Glass | Consolidate IT systems monitoring overviews to a single pane for quick insights. | Not enough data | |
Dashboards and Visualization | Offer pre-built and custom reporting and dashboards for quick insights into system states. | Not enough data | |
Performance Baselines | Set expected baselines for system functions. | Not enough data | |
Alerting | Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors. | Not enough data |
Monitoring
Usage Monitoring | Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste. | Not enough data | |
Database Monitoring | Monitors performance and statistics related to memory, caches and connections. | Not enough data | |
API Monitoring | Detects anomalies in functionality, user accessibility, traffic flows, and tampering. | Not enough data | |
Real-Time Monitoring - Cloud Infrastructure Monitoring | Constantly monitors system to detect anomalies in real time. | Not enough data | |
Resource utilization | Optimizes resource allocation. | Not enough data | |
Real-time monitoring | Consistently monitors processes for applications and IT infrastructure to detect anomalies in real-time. | Not enough data | |
Performance baseline | Sets up standard performance baseline to compare live container activities. | Not enough data | |
API monitoring | Traces connections between different containerized environments and detects anomalies in functionality, user accessibility, traffic flows, and tampering. | Not enough data |
Administration
Activity Monitoring | Actively monitor status of work stations either on-premise or remote. | Not enough data | |
Multi-Cloud Management | Allows users to track and control cloud spend across cloud services and providers. | Not enough data | |
Automation | Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. | Not enough data |
Analysis
Reporting | Creates reports outlining resource, underutilization, cost trends, and/or functional overlap. | Not enough data | |
Dashboards and Visualizations | Presents information and analytics in a digestible, intuitive, and visually appealing way. | Not enough data | |
Spend Forecasting and Optimization | Ability to project spend based on contracts, usage trends, and predicted growth. | Not enough data | |
Track Trends | Allows user to track log trends. | Not enough data | |
Detect Anomalies | Identify and predict anomalies in real-time with outlier detection and uncover root-causes | Not enough data | |
Metric and Event Data | Analyze both metric and event data on the same platform regardless of source or structure | Not enough data | |
Search | Search your logs for troubleshooting and open-ended exploration of your data | Not enough data | |
Alerts | Create alerts based on search patterns, thresholds for specific log metrics, or other conditions | Not enough data | |
Live Tail | See your data, in real time, streaming into the system from multiple data sources | Not enough data | |
Search | Allows users to search logs for troubleshooting and open-ended exploration of data. | Not enough data | |
Reporting | Creates reports outlining resource, underutilization, cost trends, and/or functional overlap. | Not enough data | |
Visualization | Presents information and analytics in a digestible, intuitive, and visually appealing way. | Not enough data | |
Track trends | Allows users to track log trends. | Not enough data |
Data Preparation
Data Sources | Automatically collect logs from all your services, applications, and platforms | Not enough data | |
Indexing | Automate the indexing of machine data that's critical to your operations | Not enough data | |
Automated Tagging | See log data in context with automated tagging and correlation | Not enough data | |
Data Blending | Mix and match data from apps, hosts, containers, services, networks, and more | Not enough data |
Visualization
Dashboards | Visualize log data on dashboards | Not enough data | |
Data Discovery | Drill down and explore data to discover new insights | Not enough data |
Alerts management
Multi-mode alerts | Alerts over email, text, phone call, or more to multiple parties. | Not enough data | |
Opimization alerts | Provides information related to unnecessary spending and unused resources. | Not enough data | |
Incident alerts | Gives alerts when incidents arise. | Not enough data |
Automation
Resolution automation | Diagnoses and resolves incidents without the need for human interaction. | Not enough data | |
Automation | Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. | Not enough data |
Issue Resolution
Root cause identification | Directly identifies, or increases identification speed for, root causes for container issues. | Not enough data | |
Resolution guidance | Provides paths, suggestions, or other general assistance towards issue resolution. | Not enough data | |
Proactive identification | Proactively identifies trends on container systems that could lead to failures or errors. | Not enough data |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data |
