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Description
A centralized approach driven by AI and machine learning is designed to handle vast quantities of IT-related data sourced from various platforms. This approach enhances the responsiveness of multiple teams to outages and performance issues while ensuring seamless interaction with IT service management technologies. By employing AIOps, organizations can effectively address daily IT operational challenges on a large scale, utilizing a range of advanced techniques such as machine learning, network science, combinatorial optimization, and additional computational methods. AIOps equips enterprises to manage an extensive array of IT management tasks, which includes intelligent alerting, correlating alerts, escalating alerts, automating remediation, investigating root causes, and optimizing capacity. Implementing a structured framework enables the proactive refinement of processes, resources, personnel, information, and communication channels. Continuous oversight and optimization of operations are essential, allowing for 24/7 management of IT functions. Additionally, establishing effective processes helps minimize the disruptive noise that often accompanies incident occurrences, ultimately leading to a more streamlined IT environment. This comprehensive strategy can significantly enhance overall operational efficiency and reliability.
Description
Safeguard business service-level agreements by utilizing dashboards that enable monitoring of service health, troubleshooting alerts, and conducting root cause analyses. Enhance mean time to resolution (MTTR) through real-time event correlation, automated incident prioritization, and seamless integrations with IT service management (ITSM) and orchestration tools. Leverage advanced analytics, including anomaly detection, adaptive thresholding, and predictive health scoring, to keep an eye on key performance indicators (KPIs) and proactively avert potential issues up to 30 minutes ahead of time. Track performance in alignment with business operations through ready-made dashboards that not only display service health but also visually link services to their underlying infrastructure. Employ side-by-side comparisons of various services while correlating metrics over time to uncover root causes effectively. Utilize machine learning algorithms alongside historical service health scores to forecast future incidents accurately. Implement adaptive thresholding and anomaly detection techniques that automatically refine rules based on previously observed behaviors, ensuring that your alerts remain relevant and timely. This continuous monitoring and adjustment of thresholds can significantly enhance operational efficiency.
API Access
Has API
API Access
Has API
Integrations
BlueCat Gateway
CloudFabrix
Cyberint Argos Platform
Evolven
Infraon Infinity
JSON
SAP Store
Splunk User Behavior Analytics
The Galileo Suite
Integrations
BlueCat Gateway
CloudFabrix
Cyberint Argos Platform
Evolven
Infraon Infinity
JSON
SAP Store
Splunk User Behavior Analytics
The Galileo Suite
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Infraon
Founded
2021
Country
United States
Website
infraon.io/infraon-aiops.html
Vendor Details
Company Name
Cisco
Founded
1984
Country
United States
Website
www.splunk.com/en_us/products/it-service-intelligence.html
Product Features
IT Management
Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring
Product Features
IT Alerting
Alert Noise Reduction
Alert Routing
Dynamic Notifications
Enriched Incident Context
Escalation Policies
Incident History Audit
Multi-User Alerting
Multiple Alert Types
On-Call Management
Rich HTML Email Notifications
IT Service
Contract Management
IT Asset Management
Incident Management
Knowledge Management
Release Management
Self Service Portal
Service Catalog
Service Reporting
Ticket Management
