Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Cloud Eye provides a platform to visualize real-time metrics related to cloud resources and services. With Cloud Eye, you can efficiently analyze metrics that are compiled using various methodologies, allowing you to access data spanning up to six months. When abnormal trends in metrics are identified, Cloud Eye promptly sends out alarm notifications via email, text messages, or to HTTP/HTTPS endpoints, ensuring you can swiftly react to changes in resource status. By leveraging detailed metrics, users can extract actionable insights for their cloud servers. Furthermore, the system supports monitoring of custom metrics through the use of Agents, APIs, and SDKs. It displays monitoring data for all cloud services over the past six months and is enabled by default to provide immediate access. Alarm rules can be tailored for specific dimensions of cloud resources, while both custom and default alarm templates simplify the process of mass creating alarm rules. This comprehensive approach ensures effective oversight of cloud performance and reliability.
Description
Selector’s software-as-a-service leverages machine learning and natural language processing to deliver self-service analytics that facilitate immediate access to actionable insights, significantly decreasing mean time to resolution (MTTR) by as much as 90%. This innovative Selector Analytics platform harnesses artificial intelligence and machine learning to perform three critical functions, equipping network, cloud, and application operators with valuable insights. It gathers a wide array of data—including configurations, alerts, metrics, events, and logs—from diverse and disparate data sources. For instance, Selector Analytics can extract data from router logs, device performance metrics, or configurations of devices within the network. Upon gathering this information, the system normalizes, filters, clusters, and correlates the data using predefined workflows to generate actionable insights. Subsequently, Selector Analytics employs machine learning-driven data analytics to evaluate metrics and events, enabling automated detection of anomalies. In doing so, it ensures that operators can swiftly identify and address issues, enhancing overall operational efficiency. This comprehensive approach not only streamlines data processing but also empowers organizations to make informed decisions based on real-time analytics.
API Access
Has API
API Access
Has API
Integrations
Amazon CloudWatch
Apache Kafka
Dynatrace
GitHub
GitLab
Google Cloud Platform
Huawei Cloud
Humio
Jira
Microsoft Azure
Integrations
Amazon CloudWatch
Apache Kafka
Dynatrace
GitHub
GitLab
Google Cloud Platform
Huawei Cloud
Humio
Jira
Microsoft Azure
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
Huawei Cloud
Founded
1987
Country
China
Website
www.huaweicloud.com/intl/en-us/product/ces.html
Vendor Details
Company Name
Selector
Country
United States
Website
www.selector.ai/product/
Product Features
Network Monitoring
Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting
Product Features
Network Monitoring
Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting