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Description
Turbo enables you to effortlessly publish and oversee all your enterprise applications from one centralized location to various platforms and devices. Schedule a demonstration with our team to witness Turbo’s capabilities firsthand. You can deploy customized containerized applications across desktops, on-premises servers, as well as public and private cloud environments. The student digital workspace ensures that applications are accessible on every campus and personal device. Deliver applications universally from a unified, adaptable container environment, allowing for easy migration across devices and platforms via robust APIs and connectors. You can deploy applications to both managed and BYOD PCs without requiring any installations. Turbo Application Server facilitates streaming to HTML5, Mac, and mobile devices seamlessly. Additionally, you can publish applications to existing Citrix and VMware VDI setups. Dynamically image applications on non-persistent Windows Virtual Desktop instances, enhancing flexibility. Furthermore, course applications can be integrated directly within major LMS systems like Canvas and Blackboard. The platform also provides an authoring environment for the creation of your own containerized applications and components, giving users even more control over their digital resources. This streamlined approach not only offers convenience but also enhances productivity across various educational and professional settings.
Description
balenaEngine is a specialized container engine designed specifically for embedded systems and IoT applications, utilizing technology from the Moby Project by Docker. It is significantly smaller than Docker CE, boasting a size reduction of 3.5 times and is distributed as a single binary. This engine is compatible with a diverse range of chipset architectures, catering to everything from small IoT devices to larger industrial gateways. It offers bandwidth-efficient updates using binary diffs that can be 10 to 70 times smaller compared to the traditional method of pulling layers in various scenarios. To mitigate excessive disk writing and safeguard against potential storage corruption, it extracts layers as they are received. Additionally, its atomic and durable image pulls ensure protection against incomplete container downloads in case of power interruptions. The design also minimizes page cache thrashing during image pulls, allowing applications to run smoothly even in low-memory environments. In summary, balenaEngine is an innovative solution that not only supports Docker containers but also enhances bandwidth efficiency for container updates. This makes it an ideal choice for developers seeking reliability and efficiency in IoT and embedded systems.
API Access
Has API
API Access
Has API
Integrations
Blackboard Learn
Citrix Analytics
Docker
Jenkins
Microsoft Azure
SAP Cloud Platform
VMware Cloud
Integrations
Blackboard Learn
Citrix Analytics
Docker
Jenkins
Microsoft Azure
SAP Cloud Platform
VMware Cloud
Pricing Details
$19 per month
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
Turbo.net
Website
turbo.net
Vendor Details
Company Name
balena
Founded
2013
Country
United States
Website
www.balena.io/engine/
Product Features
Product Features
Container Management
Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization