Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Opster's AutoOps platform optimizes mapping, stabilizes operations, and improves resource utilization to reduce hardware costs and improve performance. Orchestration, management capabilities, and ticket-based support are not enough. AutoOps provides all the support you need, in real time. AutoOps can diagnose issues in all aspects of Elasticsearch operations. The system provides precise root cause analysis and also helps to resolve the problem. AutoOps can perform advanced optimizations, such as shard rebalancing and blocking heavy searches. It can also optimize templates. These optimizations will ensure your cluster operates at its peak performance and maximum resilience. Opster's AutoOps platform enables customers to dramatically reduce the hardware required for their deployment by optimizing mapping, stabilizing operations, and improving resource utilization.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Elasticsearch
No
Grafana Cloud
No
Infraon Infinity
Yes
JSON
Yes
Kibana
No
Microsoft Teams
No
OpenSearch
No
Opsgenie
No
PagerDuty
No
Slack
No
Integrations
Elasticsearch
Yes
Grafana Cloud
Yes
Infraon Infinity
No
JSON
No
Kibana
Yes
Microsoft Teams
Yes
OpenSearch
Yes
Opsgenie
Yes
PagerDuty
Yes
Slack
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$2.2 per GB per month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Infraon
Founded
2021
Country
United States
Website
infraon.io/infraon-aiops.html
Vendor Details
Company Name
Opster
Founded
2019
Country
Israel
Website
opster.com
Product Features
IT Management
Capacity Monitoring
No
Compliance Management
No
Event Logs
No
Hardware Inventory
No
IT Budgeting
No
License Management
No
Patch Management
No
Remote Access
No
Scheduling
No
Software Inventory
No
User Activity Monitoring
No
Product Features
DevOps
Approval Workflow
No
Dashboard
Yes
KPIs
No
Policy Management
No
Portfolio Management
No
Prioritization
Yes
Release Management
No
Timeline Management
No
Troubleshooting Reports
Yes