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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

It facilitates device connectivity through widely accepted IoT protocols such as MQTT, CoAP, and HTTP, accommodating both cloud and local installations. ThingsBoard is engineered for scalability, reliability, and high performance, ensuring that your data remains secure and intact. You can provision, monitor, and manage your IoT devices securely by utilizing comprehensive server-side APIs. Establish connections among your devices, assets, customers, or other entities with ease. Efficiently gather and archive telemetry data in a scalable and resilient manner. You can visualize your data using either built-in or personalized widgets and adaptable dashboards, which can also be shared with clients. The platform allows you to create data processing rule chains, enabling you to transform and standardize your device data. It can trigger alerts based on incoming telemetry events, updates to attributes, periods of device inactivity, and user interactions. Build a ThingsBoard cluster to achieve maximum scalability and fault tolerance through a microservices architecture. Furthermore, ThingsBoard accommodates both cloud and on-premises setups, making it a versatile choice for various deployment needs. This flexibility ensures that users can tailor their IoT solutions according to specific requirements and preferences.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace
Huawei Cloud

Integrations

Azure Marketplace
Huawei Cloud

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

Thingsboard

Country

Ukraine

Website

thingsboard.io

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

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

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