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groundcover Features

What are the features of groundcover?

Monitoring

  • Usage Monitoring
  • Database Monitoring
  • API Monitoring
  • Real-Time Monitoring - Cloud Infrastructure Monitoring

Administration

  • Activity Monitoring
  • Multi-Cloud Management

Analysis

  • Reporting
  • Dashboards and Visualizations
  • Spend Forecasting and Optimization

Visibility

  • Dashboards and Visualizations
  • Alerts and Notifications
  • Reporting

Monitoring and Management

  • Automation
  • Performance Baseline
  • Real-Time Monitoring

Top Rated groundcover Alternatives

Filter for Features

Monitoring

Usage Monitoring

As reported in 12 groundcover reviews. Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.
97%
(Based on 12 reviews)

Database Monitoring

Monitors performance and statistics related to memory, caches and connections. This feature was mentioned in 12 groundcover reviews.
94%
(Based on 12 reviews)

API Monitoring

Based on 12 groundcover reviews. Detects anomalies in functionality, user accessibility, traffic flows, and tampering.
90%
(Based on 12 reviews)

Real-Time Monitoring - Cloud Infrastructure Monitoring

Based on 12 groundcover reviews. Constantly monitors system to detect anomalies in real time.
93%
(Based on 12 reviews)

Performance Baselines

10 reviewers of groundcover have provided feedback on this feature.
88%
(Based on 10 reviews)

Performance Analysis

As reported in 10 groundcover reviews.
93%
(Based on 10 reviews)

Performance Monitoring

10 reviewers of groundcover have provided feedback on this feature.
93%
(Based on 10 reviews)

AI/ML Assistance

Not enough data

Multi-System Monitoring

Not enough data

Administration

Activity Monitoring

Actively monitor status of work stations either on-premise or remote. 12 reviewers of groundcover have provided feedback on this feature.
93%
(Based on 12 reviews)

Multi-Cloud Management

Allows users to track and control cloud spend across cloud services and providers. This feature was mentioned in 11 groundcover reviews.
88%
(Based on 11 reviews)

Automation

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. This feature was mentioned in 10 groundcover reviews.
73%
(Based on 10 reviews)

Analysis

Reporting

As reported in 11 groundcover reviews. Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.
89%
(Based on 11 reviews)

Dashboards and Visualizations

Presents information and analytics in a digestible, intuitive, and visually appealing way. This feature was mentioned in 12 groundcover reviews.
92%
(Based on 12 reviews)

Spend Forecasting and Optimization

Based on 11 groundcover reviews. Ability to project spend based on contracts, usage trends, and predicted growth.
88%
(Based on 11 reviews)

Visibility

Dashboards and Visualizations

Presents information and analytics in a digestible, intuitive, and visually appealing way. 14 reviewers of groundcover have provided feedback on this feature.
94%
(Based on 14 reviews)

Alerts and Notifications

Clearly notifies users with relevant information and anomalies in a timely manner. This feature was mentioned in 14 groundcover reviews.
88%
(Based on 14 reviews)

Reporting

Creates reports outlining log activity and relevant metrics. 14 reviewers of groundcover have provided feedback on this feature.
89%
(Based on 14 reviews)

Monitoring and Management

Automation

Based on 13 groundcover reviews. Automatically allocates resources to address log anomalies.
86%
(Based on 13 reviews)

Performance Baseline

Sets a standard performance baseline by which to compare log activity. 13 reviewers of groundcover have provided feedback on this feature.
82%
(Based on 13 reviews)

Real-Time Monitoring

As reported in 13 groundcover reviews. Constantly monitors logs to detect anomalies in real time.
92%
(Based on 13 reviews)

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

Functionality

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

As reported in 10 groundcover reviews. Monitors cloud microservices, containers, kubernetes, and other cloud native software.
85%
(Based on 10 reviews)

Real-time Analytics

Generate real-time depth analytics utilizing event metrics, logging and metadata.

Not enough data

Data quality monitoring

Use custom or pre-built tests for buisness rules. to ensure data quality.

Not enough data

Automation

Involves automation capabilities to identify and track issues, failed operations by looking at historical trends.

Not enough data

End to End visiblity

Complete visibility of the data pipeline, and immediately notifies the data team if any issues. Ensures cross stack visbility.

Not enough data

Management

Anomaly identification

Identify the different type of anomalies and receive alerts.

Not enough data

Single pane view

The data observability environment can be viewed from a single dashboard.

Not enough data

Real-time alerts

Provides immediate alerts for any anomalies or expected events.

Not enough data

Data lineage

Establishes lineage for the data pipeline - from data warehouse to the data user.

Not enough data

Integrations

Support integrations with various business applications which support different data processes. Also, integrate with apps to provide alerts.

Not enough data

Generative AI

AI Text Generation

Allows users to generate text based on a text prompt.

Not enough data