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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

Top Rated SUSE Cloud Observability Alternatives

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

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