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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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 

Screenshots View All

Screenshots View All

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 

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