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Description
There are countless devices operating in various environments such as residences, industrial sites, oil extraction facilities, medical centers, vehicles, and numerous other locations. As the number of these devices continues to rise, there is a growing demand for effective solutions that can connect them, as well as gather, store, and analyze the data they generate. AWS provides a comprehensive suite of IoT services that span from edge computing to cloud-based solutions. Unique among cloud providers, AWS IoT integrates data management with advanced analytics capabilities tailored to handle the complexities of IoT data seamlessly. The platform includes robust security features at every level, offering preventive measures like encryption and access control to safeguard device data, along with ongoing monitoring and auditing of configurations. By merging AI with IoT, AWS enhances the intelligence of devices, allowing users to build models in the cloud and deploy them to devices where they operate twice as efficiently as comparable solutions. Additionally, you can streamline operations by easily creating digital twins that mirror real-world systems and conduct analytics on large volumes of IoT data without the need to construct a dedicated analytics infrastructure. This means businesses can focus more on leveraging insights rather than getting bogged down in technical complexities.
Description
Begin developing your inaugural Eclipse ioFogTM application today. Eclipse ioFog is completely free and open source, and it will remain so indefinitely. By installing Eclipse ioFogTM on any device with a minimal processing capacity, you establish a distributed Edge Compute Network (ECN), which allows for the dynamic, secure, and remote execution of any microservice. It operates on each of your edge devices, creating a robust platform for microservices. The system grants you remote oversight of these microservices and facilitates communication between them across intricate networks. Envision a scenario where you can select self-sufficient code segments (known as microservices) and deploy them anywhere at the simple push of a button. Picture having the ability to remotely manage code that operates on dozens of iPhones in employees' pockets, numerous servers within a factory, and various computers situated in delivery trucks—all utilizing the same technological framework. With such capabilities, the possibilities for innovation and operational efficiency are boundless.
API Access
Has API
API Access
Has API
Integrations
AWS App Mesh
AWS IoT Core
AWS IoT SiteWise
AWS Lambda
AWS Step Functions
Amazon CloudWatch
Amazon Data Firehose
Amazon Kinesis
Amazon S3
Amazon SageMaker
Integrations
AWS App Mesh
AWS IoT Core
AWS IoT SiteWise
AWS Lambda
AWS Step Functions
Amazon CloudWatch
Amazon Data Firehose
Amazon Kinesis
Amazon S3
Amazon SageMaker
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/iot/
Vendor Details
Company Name
Eclipse
Website
iofog.org
Product Features
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
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
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization