BioRAFT Integrations

Dqlite is a high-speed, embedded SQL database that offers persistent storage and utilizes Raft consensus, making it an ideal choice for resilient IoT and Edge devices. Known as "distributed SQLite," Dqlite expands SQLite's capabilities across multiple machines, ensuring automatic failover and high availability to maintain application uptime. It employs C-Raft, an optimized implementation of Raft in C, which provides exceptional performance in transactional consensus and fault tolerance while maintaining SQLite’s renowned efficiency and compact size. C-Raft is specifically designed to reduce transaction latency, enabling faster operations. Both C-Raft and Dqlite are implemented in C, ensuring they are portable across various platforms. Released under the LGPLv3 license with a static linking exception, it guarantees broad compatibility. The system features a standard CLI pattern for initializing databases and managing the joining or leaving of voting members. It also incorporates minimal, configurable delays for failover alongside automatic leader election processes. Additionally, Dqlite supports a disk-backed database option with in-memory capabilities and adheres to SQLite's transaction protocols. The blend of these features makes Dqlite a powerful solution for modern data storage needs.

With just one command, you can swiftly create an Ubuntu virtual machine using Multipass, which is capable of launching and managing VMs while configuring them with cloud-init, akin to public cloud environments. This tool allows you to experiment with cloud launches right on your local machine at no cost, and in just five minutes, you'll realize how effortlessly a lightweight cloud setup can be achieved. To get started, you can launch several LTS instances, check their status, execute commands, apply cloud-init configurations, and remove older instances as needed. For those looking to master the Linux command line, the "Ubuntu Server CLI cheat sheet" serves as a quick reference for skills ranging from basic file management to advanced deployments like Kubernetes and OpenStack. Multipass also features a command line interface that simplifies the launching, management, and interaction with Linux instances. You'll find that downloading a fresh image is incredibly fast, enabling you to have a fully operational VM in mere minutes. Furthermore, you can create Ubuntu instances and initialize them with cloud-init metadata, similar to setups on AWS, Azure, Google, IBM, and Oracle clouds, allowing you to effectively simulate a cloud deployment directly on your workstation. This capability makes it easier than ever to experiment and learn about cloud computing without the need for extensive resources.

Quickly set up and operate OpenStack on a Linux machine with ease. Designed with developers in mind, it’s perfect for use in edge computing, IoT applications, and various appliances. MicroStack provides a complete OpenStack experience packaged neatly into a single snap. This multi-node OpenStack deployment allows you to run it directly from your workstation. While its primary audience is developers, it remains an excellent choice for edge environments, IoT setups, and appliances. Just download MicroStack from the Snap Store and start your OpenStack environment in no time. Within minutes, you can have a fully functional OpenStack system at your fingertips. It runs securely on your laptop, utilizing advanced isolation techniques for safety. This implementation features pure upstream OpenStack components, including Keystone, Nova, Neutron, Glance, and Cinder. All the exciting features you’d like to explore in a compact, standard OpenStack setup are readily available. You can easily integrate MicroStack into your CI/CD workflows, allowing you to focus on your tasks without unnecessary complications. Keep in mind that MicroStack requires a minimum of 8 GB of RAM along with a multi-core processor to function smoothly. Enjoy the seamless experience of working with a robust OpenStack environment.

If you're seeking to implement an information kiosk, a digital signage display, an entertainment system for vehicles, or a home automation interface, Mir on Ubuntu provides the quickest route to deployment. Serving as a system-level component, Mir facilitates the creation of innovative user experiences and is compatible with a variety of Linux-based devices, from traditional desktops to IoT and embedded systems. It effectively replaces the X window server system, which has been widely utilized across Linux desktop environments. This transition allows manufacturers and desktop users to benefit from a powerful, efficient, flexible, and secure graphical environment. For over 30 years, the X windowing system has been the backbone of graphical user interfaces on Linux, successfully catering to both system-level and application-level needs. Nevertheless, modern users demand a more cohesive, integrated, and secure experience, which the X system struggles to provide. Consequently, Mir stands out as a contemporary alternative, designed to meet those evolving expectations and enhance the overall user experience.

Enhanced operators for enterprise applications feature a comprehensive application graph and declarative integration that caters to both Kubernetes environments and legacy systems. Through Juju operator integration, we can simplify each operator, enabling their composition to form intricate application graph topologies that handle complex scenarios while providing a user-friendly experience with significantly reduced YAML requirements. The UNIX principle of ‘doing one thing well’ is equally applicable in the realm of large-scale operational code, yielding similar advantages in clarity and reusability. The charm of small-scale design is evident here: Juju empowers organizations to implement the operator pattern across their entire infrastructure, including older applications. Model-driven operations lead to substantial savings in maintenance and operational expenses for traditional workloads, all without necessitating a shift to Kubernetes. Once integrated with Juju, legacy applications also gain the ability to operate across multiple cloud environments. Furthermore, the Juju Operator Lifecycle Manager (OLM) uniquely accommodates both containerized and machine-based applications, ensuring smooth interoperability between the two. This innovative approach allows for a more cohesive and efficient management of diverse application ecosystems.