balenaOS Description
The advent of containers is set to transform the landscape of connected devices, with balenaOS standing out as the premier solution for their deployment. Designed to endure challenging networking scenarios and sudden power losses, it is a stripped-down version of Linux that includes only the essential services for running Docker efficiently on embedded hardware. Built on the foundation of Yocto Linux, it allows for seamless adaptation across a wide range of device types and CPU architectures. The project is actively maintained in a transparent manner, fostering a community that is encouraged to contribute. In our initiative to create balenaCloud—a platform that integrates modern software development tools with connected hardware—we began by adapting Docker for ARM processors in 2013. This experience highlighted the necessity for a dedicated operating system tailored to this specific use case: a lightweight OS perfectly suited for executing containers on embedded devices. Furthermore, this focus on optimization ensures that developers can maximize the potential of their connected solutions.
balenaOS Alternatives
JDisc Discovery is a powerful IT asset management and network discovery tool, designed to provide organizations with clear, real-time insights into their entire IT environment. By automatically scanning the network, it identifies and catalogs devices, from physical servers and workstations to virtual machines and network appliances, giving users a detailed inventory of their assets. The tool captures essential data such as hardware specifications, installed software, system configurations, and interdependencies among devices.
A key advantage of JDisc Discovery is its agentless architecture. Rather than requiring installation on each device, it uses multiple protocols (like SNMP, SSH, WMI) to gather information, ensuring quick deployment and compatibility across various operating systems, including Windows, Linux, and Unix. This makes it ideal for diverse and dynamic IT ecosystems, enabling efficient and non-intrusive data collection.
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JS7 JobScheduler, an Open Source Workload Automation System, is designed for performance and resilience. JS7 implements state-of-the-art security standards. It offers unlimited performance for parallel executions of jobs and workflows.
JS7 provides cross-platform job execution and managed file transfer. It supports complex dependencies without the need for coding. The JS7 REST-API allows automation of inventory management and job control.
JS7 can operate thousands of Agents across any platform in parallel.
Platforms
- Cloud scheduling for Docker®, OpenShift®, Kubernetes® etc.
- True multi-platform scheduling on premises, for Windows®, Linux®, AIX®, Solaris®, macOS® etc.
- Hybrid cloud and on-premises use
User Interface
- Modern GUI with no-code approach for inventory management, monitoring, and control using web browsers
- Near-real-time information provides immediate visibility to status changes, log outputs of jobs and workflows.
- Multi-client functionality, role-based access management
- OIDC authentication and LDAP integration
High Availability
- Redundancy & Resilience based on asynchronous design and autonomous Agents
- Clustering of all JS7 Products, automatic fail-over and manual switch-over
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balena
Balena offers a comprehensive suite of tools that facilitate the creation, deployment, and management of networks of connected Linux devices. We supply infrastructure tailored for fleet managers, enabling them to concentrate on application development and expanding their fleets with minimal obstacles. Our tools are built to seamlessly integrate as a cohesive platform, yet they also allow users to selectively utilize specific components that align with their project needs, tailoring them to fit unique requirements. Understanding that each Internet of Things (IoT) project presents distinct challenges, we avoid a one-size-fits-all approach. For those interested in diving deeper into how balena operates, you’ll find our core platform, known as balenaCloud, includes a robust combination of device, server, and client-side software, all crafted to ensure your code is securely deployed across a network of devices. This modular design empowers users to innovate while maintaining the reliability and security essential for successful deployment.
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balenaEngine
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.
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Integrations
Company Details
Company:
balena
Year Founded:
2013
Headquarters:
United Kingdom
Website:
www.balena.io/os/
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
balenaOS Features and Options
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