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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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace No 
Huawei Cloud Yes 
SIGNL4 No 
hopit Manufacturing No 

Integrations

Azure Marketplace Yes 
Huawei Cloud No 
SIGNL4 Yes 
hopit Manufacturing Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

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 No 
Baseline Manager No 
Diagnostic Tools No 
IP Address Monitoring No 
Internet Usage Monitoring No 
Real Time Analytics No 
Resource Management No 
SLA Monitoring No 
Server Monitoring No 
Uptime Monitoring No 
Web Traffic Reporting No 

Product Features

IoT

Application Development No 
Big Data Analytics No 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management No 
Device Management No 
Performance Management No 
Prototyping No 
Visualization No 

IoT Analytics

Activity Dashboard No 
Activity Tracking No 
Analytics No 
Asset Tracking No 
Data Collection No 
Data Synchronization No 
Data Visualization No 
ETL No 
Multiple Data Sources No 
Performance Analysis No 
Real-Time Analytics No 
Real-Time Data No 
Real-Time Monitoring No 
Status Tracking No 

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