SUSE Cloud Observability Features
What are the features of SUSE Cloud Observability?
Monitoring
- Usage Monitoring
- Database Monitoring
- API Monitoring
- Real-Time Monitoring - Cloud Infrastructure Monitoring
Administration
- Activity Monitoring
Analysis
- Dashboards and Visualizations
Top Rated SUSE Cloud Observability Alternatives
SUSE Cloud Observability Categories on G2
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Monitoring
Usage Monitoring | Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste. 11 reviewers of SUSE Cloud Observability have provided feedback on this feature. | 88% (Based on 11 reviews) | |
Database Monitoring | As reported in 11 SUSE Cloud Observability reviews. Monitors performance and statistics related to memory, caches and connections. | 79% (Based on 11 reviews) | |
API Monitoring | Based on 12 SUSE Cloud Observability reviews. Detects anomalies in functionality, user accessibility, traffic flows, and tampering. | 83% (Based on 12 reviews) | |
Real-Time Monitoring - Cloud Infrastructure Monitoring | As reported in 13 SUSE Cloud Observability reviews. Constantly monitors system to detect anomalies in real time. | 87% (Based on 13 reviews) | |
Performance Baselines | Not enough data | ||
Performance Analysis | Not enough data | ||
Performance Monitoring | Not enough data | ||
AI/ML Assistance | Not enough data | ||
Multi-System Monitoring | 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 | Based on 11 SUSE Cloud Observability reviews. Actively monitor status of work stations either on-premise or remote. | 82% (Based on 11 reviews) | |
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. This feature was mentioned in 13 SUSE Cloud Observability reviews. | 87% (Based on 13 reviews) | |
Spend Forecasting and Optimization | Ability to project spend based on contracts, usage trends, and predicted growth. | 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 |
Functionality
Artificial Intelligence | Utilizes artificial intelligence to analyze big data. | Not enough data | |
Machine Learning | Utilizes machine learning to analyze big data. | Not enough data | |
Systems Monitoring | Monitors logs and activities from a wide range of IT systems. | Not enough data | |
Synthetic Monitoring | Monitors and test apps to address issues before they affect end users. | Not enough data | |
Dynamic Transaction Mapping | Provides dynamic end-to-end maps of every single transaction. | Not enough data | |
Load Balancing | Automatically adjusts resources base on application usage. | Not enough data | |
Cloud Observability | Monitors cloud microservices, containers, kubernetes, and other cloud native software. | Not enough data |
Issue Resolution
Root Cause Identification | Directly identifies, or increases identification speed for, root causes for IT system issues. | Not enough data | |
Proactive Identification | Proactively identifies trends on IT systems that could lead to failures or errors. | Not enough data | |
Resolution Guidance | Provides paths, suggestions, or other general assistance towards issue resolution. | Not enough data | |
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 |
Management
System Integration | Integrates with a variety of IT systems. | Not enough data | |
Alerting | Automatically alerts necessary parties via email, text, or call when issues are identified. | Not enough data | |
Reporting | Generate sreports and dashboards highlighting trends and key metrics around issues and issue resolution. | Not enough data |
Response
Dashboards and Visualization | Not enough data | ||
Incident Alerting | Not enough data | ||
Root Cause Analysis (RCA) | Not enough data |
Performance
Real User Monitoring (RUM) | Captures and analyzes each transaction by users of a website or application in real time. | Not enough data | |
Second by Second Metrics | Provides high-frequency metrics data. | 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 |