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Description
Functions independently to manage regular alerts and actions, thereby minimizing escalations and mitigating burnout. It intelligently modifies thresholds and dashboards to proactively avert incidents and updates runbooks with each new occurrence. This efficiency can save on-call engineers as much as 20 hours weekly, allowing them to focus on development tasks. It manages all alerts, conducts root cause analysis, resolves incidents, and ensures that the on-call experience is stress-free. By automating root cause analysis and incident response, it can reduce Mean Time to Resolution (MTTR) by up to 80%. With comprehensive incident summaries and hypotheses accessible prior to logging in, users will enjoy quicker response times and significantly enhanced uptime. Getting started is quick and easy with production-ready AI that is secure and adept in utilizing all necessary production tools just like a seasoned software engineer. Additionally, it automatically maps your production environment, comprehends code, and tracks modifications seamlessly without requiring any prior training. This innovative approach not only streamlines operations but also enhances overall productivity and efficiency within the team.
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
Amazon Web Services (AWS)
BlueCat Gateway
CloudFabrix
Cyberint Argos Platform
Evolven
GitHub
Prometheus
SAP Store
Slack
Splunk User Behavior Analytics
Integrations
Amazon Web Services (AWS)
BlueCat Gateway
CloudFabrix
Cyberint Argos Platform
Evolven
GitHub
Prometheus
SAP Store
Slack
Splunk User Behavior Analytics
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
Resolve.ai
Country
United States
Website
resolve.ai/
Vendor Details
Company Name
Cisco
Founded
1984
Country
United States
Website
www.splunk.com/en_us/products/it-service-intelligence.html
Product Features
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
