CubeAPM Features
Monitoring (14)
Usage Monitoring
Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.
Database Monitoring
Monitors performance and statistics related to memory, caches and connections.
API Monitoring
Detects anomalies in functionality, user accessibility, traffic flows, and tampering.
Real-Time Monitoring - Cloud Infrastructure Monitoring
Constantly monitors system to detect anomalies in real time.
Security and Compliance Monitoring
Enables monitoring of security and compliance standards across cloud infrastructure.
Performance Baselines
Performance Analysis
Performance Monitoring
As reported in 10 CubeAPM reviews.
AI/ML Assistance
Multi-System Monitoring
Resource utilization
Optimizes resource allocation.
Real-time monitoring
Consistently monitors processes for applications and IT infrastructure to detect anomalies in real-time.
Performance baseline
Sets up standard performance baseline to compare live container activities.
API monitoring
Traces connections between different containerized environments and detects anomalies in functionality, user accessibility, traffic flows, and tampering.
Administration (4)
Activity Monitoring
Actively monitor status of work stations either on-premise or remote.
Multi-Cloud Management
Allows users to track and control cloud spend across cloud services and providers.
Automation
Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.
Auto-Scaling & Resource Optimization
Automatically scales resources based on demand and optimizes for performance and cost.
Analysis (7)
Reporting
Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.
Dashboards and Visualizations
Presents information and analytics in a digestible, intuitive, and visually appealing way.
Spend Forecasting and Optimization
Ability to project spend based on contracts, usage trends, and predicted growth.
Search
Allows users to search logs for troubleshooting and open-ended exploration of data.
Reporting
Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.
Visualization
Presents information and analytics in a digestible, intuitive, and visually appealing way.
Track trends
Allows users to track log trends.
Visibility (3)
Dashboards and Visualizations
Presents information and analytics in a digestible, intuitive, and visually appealing way.
Alerts and Notifications
Clearly notifies users with relevant information and anomalies in a timely manner.
Reporting
Creates reports outlining log activity and relevant metrics.
Monitoring and Management (9)
Automation
Automatically allocates resources to address log anomalies.
Performance Baseline
Sets a standard performance baseline by which to compare log activity.
Real-Time Monitoring
Constantly monitors logs to detect anomalies in real time.
Multi-Server Management
Allows users to track and control resource spend and loads across multiple servers.
Automation
Automatically allocates resources to optimize loads across servers.
Performance Baseline
Sets a standard performance baseline by which to compare live server activity.
Real-Time Monitoring
Constantly monitors server to detect anomalies in real time.
Immediate Alert Notification
Ability of the monitoring software to immediately alert the user in case of any issue.
Proactive Server Monitoring Software
Deploys remedial actions proactively. If this measure fails, then the user is alerted.
Visibility (3)
Dashboards and Visualizations
Presents information and analytics in a digestible, intuitive, and visually appealing way.
Alerts and Notifications
Clearly notifies team members with relevant information and anomalies in a timely manner.
Reporting
Creates reports outlining load distribution, performance and other relevant metrics.
Functionality (8)
Diverse Systems Monitoring
Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks.
Real-Time Analytics
Generate real-time high-level and/or in-depth analytics regarding monitored systems activity.
Observability
Generate insights into IT systems utilizing event metrics, logging, traces, and metadata.
AI/ML Integration
Integrate AI and/or machine learning capabilities to identify and address potential and active failures and errors.
Synthetic Monitoring
Monitors and test apps to address issues before they affect end users.
Dynamic Transaction Mapping
Provides dynamic end-to-end maps of every single transaction.
Load Balancing
Automatically adjusts resources base on application usage.
Cloud Observability
Monitors cloud microservices, containers, kubernetes, and other cloud native software.
Management (4)
Single Pane of Glass
Consolidate IT systems monitoring overviews to a single pane for quick insights.
Dashboards and Visualization
Offer pre-built and custom reporting and dashboards for quick insights into system states.
Performance Baselines
Set expected baselines for system functions.
Alerting
Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors.
Response (3)
Dashboards and Visualization
Incident Alerting
Root Cause Analysis (RCA)
Performance (2)
Real User Monitoring (RUM)
Captures and analyzes each transaction by users of a website or application in real time.
Second by Second Metrics
Provides high-frequency metrics data.
Cloud environment support (2)
Server Monitoring For Cloud Deployments
Supports public, hybrid and private cloud environments.
Software Scaling
Software can scale as the enterprises adds more servers to their portfolio virtually.
Alerts management (3)
Multi-mode alerts
Alerts over email, text, phone call, or more to multiple parties.
Opimization alerts
Provides information related to unnecessary spending and unused resources.
Incident alerts
Gives alerts when incidents arise.
Automation (2)
Resolution automation
Diagnoses and resolves incidents without the need for human interaction.
Automation
Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.
Issue Resolution (3)
Root cause identification
Directly identifies, or increases identification speed for, root causes for container issues.
Resolution guidance
Provides paths, suggestions, or other general assistance towards issue resolution.
Proactive identification
Proactively identifies trends on container systems that could lead to failures or errors.
Agentic AI - Application Performance Monitoring (APM) (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Cloud Infrastructure Monitoring (6)
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Log Monitoring (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Server Monitoring (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Enterprise Monitoring (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
AI Automation - Cloud Infrastructure Monitoring (2)
AI-Powered Anomaly Detection
Utilizes machine learning to automatically detect and alert on unusual patterns in infrastructure metrics.
AI-Driven Insight Recommendations
Provides AI-generated insights and actionable recommendations to optimize resource performance and cost.



