Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Docker images are stored in a highly resilient storage solution. Automatic data replication is set up for all assets, ensuring that any changes—whether editing, creating, or deleting Docker images—are reflected across all replicas. The service supports containers for both Linux and Windows operating systems, allowing you to utilize them on your personal devices or within a Yandex Compute Cloud virtual machine. It offers rapid Docker image operations without incurring costs for external traffic since the image registries are situated within the same data centers as your cloud setup. Docker images are securely transmitted using HTTPS, and you have the authority to determine who can view, pull, push, or remove them. When you use a Docker image, we handle all the infrastructure maintenance for your registry. You are only charged for the storage utilized by your Docker images. Accessing the service can be done through the management console, command line interface (CLI), API, or the standard Docker CLI, with full compatibility with the Docker registry HTTP API V2. Additionally, this service ensures a seamless experience by integrating with various tools and workflows you may already be using.
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
Docker
Bash
GitLab
Kubernetes
PowerShell
Terraform
Yandex Cloud
Yandex Managed Service for Elasticsearch
Yandex Managed Service for OpenSearch
Integrations
Docker
Bash
GitLab
Kubernetes
PowerShell
Terraform
Yandex Cloud
Yandex Managed Service for Elasticsearch
Yandex Managed Service for OpenSearch
Pricing Details
$0.012240 per GB
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
Yandex
Founded
1997
Country
Russia
Website
cloud.yandex.com/en/services/container-registry
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