Recursos de Progress WhatsUp Gold

Eases cross-departmental communication.

Allows creation of workflows using scripting languages.

Offers drag and drop elements representing tasks and connections between them to create workflows

Continuously monitors network performance across the entire span of a network.

Sends alerts via pop-up notifications, texts, emails, or calls regarding network issues or failures.

Suggests potential remedies or improvements to slowdowns, errors, or failures.

Provides monitoring capabilities for multiple networks at once.

Provides monitoring capabilities for multiple networks at once.

Constantly monitors activity related to user behavior and compares activity to benchmarked patterns.

Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks.

Provides features to allow scaling for large organizations.

Monitors select keywords on the deep web, which are non-indexed parts of the internet not available on the surface web.

Monitors select keywords on the dark areas of the web, which are only accessible via Tor and I2P, such as illicit marketplaces and dark forums.

Provides context around identified information, including historical threat data, threat location data from geotags or inferred data, threat actors names, relationships, URLs, and other relevant information to conduct further investigations.

Integrates into ticketing or CRM platforms via API integrations.

Search through real-time and historical data without using technical query language.

Offers a centralized dashboard to monitor, collect, process, alert, analyse and search through data flagged by the software.

Enables real-time alerts and reporting through push notifications in a mobile app, email, or sms alerts.

Sets a standard performance baseline by which to compare live network activity.

Charts or graphs live and historical network performance for quick status checking and analysis.

Gives insights into which specific network paths are performing suboptimally.

Automate how physical and virtual devices are configured, handled, tested, deployed, and operated inside a network.

Record and analyze the traffic on network.

Ensure that only certain users have access to a system.

Analyze network data to identify trends and patterns.

Infrom user of upgrades and repairs to network resources.

Indexes metadata descriptions for easier searching and enhanced insights

Facilitates Artificial Intelligence (AI) or Machine Learning (ML) to enable data ingestion, performance suggestions, and traffic analysis.

Reduces time spent remedying issues manually. Resolves common network security incidents quickly.

Constantly monitors traffic and activity. Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Information on each incident is stored in databases for user reference and analytics.

Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.

Produces reports detailing trends and vulnerabilities related to their network and infrastructure.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Clearly notifies users with relevant information and anomalies in a timely manner.

Creates reports outlining log activity and relevant metrics.

Automatically allocates resources to address log anomalies.

Constantly monitors logs to detect anomalies in real time.

Allows users to track and control resource spend and loads across multiple servers.

Automatically allocates resources to optimize loads across servers.

Sets a standard performance baseline by which to compare live server activity.

Constantly monitors server to detect anomalies in real time.

Ability of the monitoring software to immediately alert the user in case of any issue.

Deploys remedial actions proactively. If this measure fails, then the user is alerted.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Clearly notifies team members with relevant information and anomalies in a timely manner.

Creates reports outlining load distribution, performance and other relevant metrics.

Monitor the performance of network resources, such as switches, routers, and servers.

Automatically discover network assets.

Build map of network resources based on dependencies and connections.

Supports public, hybrid and private cloud environments.

Software can scale as the enterprises adds more servers to their portfolio virtually.

Notify user when network related error arise.

Supports cloud and LAN, including hybrid infrastructure

Provide API and custom sensors for easy integration.

Manages and tracks any change made to network settings.

Automates threat dectection, incident response and integrates with security information and event management (SIEM) systems.

Controls access to automation features based on user roles and permissions.

Monitors network performance and triggers alerts for anomalies.

Offers full observability of all network environments, including on-premises, cloud, SD-WAN, WLAN, and edge computing.

Automatically detects and maps all network devices and architectures, reducing manual effort and improving visibility.

Provides true real-time network monitoring to detect and resolve issues instantly, rather than relying on near-time data.

Uses AI-driven analysis of historical and real-time data to forecast network issues before they impact performance.

Combines packet and flow analysis techniques to provide a comprehensive view of network traffic and performance.

Ensures all monitored network data is securely encrypted both in transit and at rest.

Supports integration with Zero Trust frameworks and identity management solutions to enhance network security.

Unifies network performance monitoring with security intelligence to identify and mitigate threats in real-time.

Continuously analyzes and adjusts network configurations to optimize performance and reliability.

Automates routine network monitoring tasks, reducing operational overhead and human error.

Uses machine learning to identify network anomalies, preventing security and performance issues before they escalate.

Automates corrective actions for common network issues, reducing downtime and manual intervention.

Leverages AI to anticipate hardware failures, capacity issues, and performance bottlenecks before they occur.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives