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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
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SUSE Cloud Observability Categories on G2
Filter for Features
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 | Detects anomalies in functionality, user accessibility, traffic flows, and tampering. This feature was mentioned in 12 SUSE Cloud Observability reviews. | 83% (Based on 12 reviews) | |
Real-Time Monitoring - Cloud Infrastructure Monitoring | Constantly monitors system to detect anomalies in real time. This feature was mentioned in 13 SUSE Cloud Observability reviews. | 87% (Based on 13 reviews) | |
Security and Compliance Monitoring | Enables monitoring of security and compliance standards across cloud infrastructure. | Not enough data | |
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 | Actively monitor status of work stations either on-premise or remote. This feature was mentioned in 11 SUSE Cloud Observability reviews. | 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 | |
Auto-Scaling & Resource Optimization | Automatically scales resources based on demand and optimizes for performance and cost. | 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 |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data |
Telemetry Collection & Ingestion - Observability
Multi-Telemetry Ingestion | Ingests and processes multiple telemetry types, such as logs, metrics, and traces. | Not enough data | |
OpenTelemetry Support | Supports ingestion and standardization of observability data via OpenTelemetry protocol. | Not enough data |
Visualization & Dashboards - Observability
Service Dependency Mapping | Displays relationships between services to visualize system dependencies. | Not enough data | |
Unified Dashboard | Provides a consolidated view of system-wide telemetry in a single dashboard. | Not enough data | |
Trace Visualization | Allows users to explore and visualize distributed traces and span relationships. | Not enough data |
Correlation & Root Cause Analysis - Observability
Cross-Telemetry Correlation | Correlates logs, metrics, and traces to surface performance patterns and root causes. | Not enough data | |
Root Cause Detection | Identifies likely causes of issues using system insights and correlation logic. | Not enough data | |
Intelligent Alerting | Automatically alerts users to anomalies or critical events using contextual data. | Not enough data |
Scalability & Ecosystem Integration - Observability
Kubernetes Monitoring | Provides observability into containerized workloads and Kubernetes clusters. | Not enough data | |
Hybrid/Multi-Cloud Support | Enables observability across public cloud, private cloud, and on-prem environments. | Not enough data |
AI Features - Observability
Predictive Insights | Forecasts future system issues based on historical performance trends. | Not enough data | |
AI-Generated Incident Summaries | Summarizes incident root causes and potential fixes using generative AI. | Not enough data | |
AI Anomaly Detection | Uses machine learning to detect unusual behavior across telemetry data. | Not enough data |
Agentic AI - Application Performance Monitoring (APM)
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - Cloud Infrastructure Monitoring
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - AIOps Platforms
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
AI Automation - Cloud Infrastructure Monitoring
AI-Powered Anomaly Detection | Utilizes machine learning to automatically detect and alert on unusual patterns in infrastructure metrics. | Not enough data | |
AI-Driven Insight Recommendations | Provides AI-generated insights and actionable recommendations to optimize resource performance and cost. | Not enough data |
Agentic AI - Observability Software
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
