Top boxd Alternatives

Google's Compute Engine, which falls under the category of infrastructure as a service (IaaS), enables businesses to create and manage virtual machines in the cloud. This platform facilitates cloud transformation by offering computing infrastructure in both standard sizes and custom machine configurations. General-purpose machines, like the E2, N1, N2, and N2D, strike a balance between cost and performance, making them suitable for a variety of applications. For workloads that demand high processing power, compute-optimized machines (C2) deliver superior performance with advanced virtual CPUs. Memory-optimized systems (M2) are tailored for applications requiring extensive memory, making them perfect for in-memory database solutions. Additionally, accelerator-optimized machines (A2), which utilize A100 GPUs, cater to applications that have high computational demands. Users can integrate Compute Engine with other Google Cloud Services, including AI and machine learning or data analytics tools, to enhance their capabilities. To maintain sufficient application capacity during scaling, reservations are available, providing users with peace of mind. Furthermore, financial savings can be achieved through sustained-use discounts, and even greater savings can be realized with committed-use discounts, making it an attractive option for organizations looking to optimize their cloud spending. Overall, Compute Engine is designed not only to meet current needs but also to adapt and grow with future demands.

InstaVM presents a powerful cloud and production sandbox solution tailored for AI agents, offering immediate access to essential computing resources such as runtime, storage, networking, policy management, and secrets. Distinguishing itself from conventional sandboxes, it employs hardware-isolated virtual machines rather than containers, thus providing secure environments equipped with complete Linux filesystems, networking capabilities, package management, RESTful API access, and the ability to sustain persistent states. The platform's snapshot feature allows users to create duplicates of any sandbox and revert to earlier configurations, while its persistent volumes guarantee that data remains intact across different executions. Furthermore, egress control empowers teams to dictate which external connections can be established, complemented by features like secrets injection and Vault to protect sensitive data from potential vulnerabilities. Additionally, the ability to deploy public URLs renders any port accessible on the public internet, augmenting its versatility. Designed with various agent patterns in mind, such as code interpreters, deployment agents, deep research agents, AI evaluations, reinforcement learning applications, and vibe coding applications, it serves as an all-encompassing tool for developers. With its groundbreaking architecture and wide-ranging features, InstaVM establishes itself as a premier solution for projects driven by artificial intelligence, enabling seamless integration and operation across diverse applications. As the landscape of AI development evolves, InstaVM positions itself as an essential resource for teams looking to leverage cutting-edge technology effectively.

Boat provides a powerful cloud-based platform featuring virtual machines and persistent sandboxes tailored for the effective management of enduring AI agents, allowing users to easily instantiate thousands of cloud environments that come equipped with web browsers and persistent storage, thus removing the complexities associated with infrastructure management. Each sandbox operates as a fully functional Ubuntu Linux virtual machine, granting SSH and SCP access, Docker support, dedicated IPv4 or IPv6 addresses, a seamless 60 fps virtual desktop experience, and quick disk-level forking capabilities derived from snapshots. With essential tools such as Docker, VS Code, Chrome, Ghostty, GitHub CLI, Rust, Node.js, and Bun pre-installed, users can effortlessly engage with any programming language, tool, or workflow. Boat is designed to be interoperable with multiple agents like Claude Code, Codex, and OpenCode, and it provides various tools to prompt, monitor, and manage agent environments remotely via its command-line interface, HTTP API, and SDKs available in Python and TypeScript. Users have the capability to execute commands, transfer files, and keep track of agent communications, while also being able to host applications that are accessible through public HTTPS links. Furthermore, integrated desktops and web browsers enhance productivity, making this solution not only a means to streamline AI agent management but also a catalyst for a more effective development environment for users engaged in a wide range of projects. The comprehensive nature of this platform ultimately supports innovation and collaboration among developers by providing the necessary tools and resources to tackle complex challenges.

Virtual Machine Manager presents a variety of exciting opportunities for users. It enables the establishment of numerous virtual machines, accommodating operating systems such as Windows, Linux, and Virtual DSM, all on a single Synology NAS device. Additionally, it provides the means to experiment with new software releases within a secure sandbox environment. This capability effectively isolates customer machines while enhancing the overall flexibility of your server operations. Synology's Virtual Machine Manager is designed to create a virtualization environment that is both economical and simple to oversee. By integrating computing, storage, and networking resources into one hardware platform, it streamlines management. Your Synology NAS is capable of hosting various virtual machines, each running different operating systems, including Windows, Linux, or Virtual DSM. Furthermore, it delivers an experience akin to that of DiskStation Manager, ensuring a dependable storage solution that boasts powerful functionality. With these features, users can maximize their server's potential while navigating a user-friendly interface.

CreateOS Sandbox is a cloud-oriented computing platform tailored for developers engaged in building AI agents, code execution environments, and various utilities for software development. It employs isolated Firecracker micro-virtual machines, each functioning under its own Linux kernel, which enables secure execution of untrusted code or code produced by machine learning models. Developers can configure their environments through a TypeScript SDK, a command-line interface, MCP tools, or a REST API, facilitating command execution and the establishment of connections among sandboxes within private networks. Additionally, these sandboxes are designed for easy pausing and resuming while preserving the guest state, and they can be customized using reusable templates. Integration with customer-owned storage solutions like Amazon S3, MinIO, or Cloudflare R2 is also supported, enhancing data management options. It's worth mentioning that the service incurs charges per second based on compute, memory, and disk space usage, with costs for memory and storage continuing even when environments are paused. The platform is accessible in both EU and US regions, and an enterprise version is available that allows deployment on a customer's infrastructure, offering increased flexibility and control for organizations. Ultimately, CreateOS Sandbox delivers a comprehensive solution that meets the diverse requirements of contemporary developers while supporting innovation in AI and software development.

WinMagic’s SecureDoc CloudVM solution is distinguished as the most all-encompassing choice for full disk encryption and advanced management of encryption keys designed specifically for virtual machines. It effectively protects data in public, private, and hybrid cloud environments, ensuring that your organization maintains sole authority over volume and full disk encryption keys. With broad compatibility across a diverse range of virtualized servers and different cloud platforms, SecureDoc CloudVM enables a unified encryption strategy that can be effortlessly implemented across any endpoint, whether situated in a virtual environment or part of a cloud IaaS setup. This solution offers a cohesive platform and a centralized oversight, thereby enhancing organizational security, ensuring compliance with encryption standards, streamlining operations, and removing encryption silos within the organization. Furthermore, WinMagic’s SecureDoc presents a single, user-friendly platform for the smart management of encryption and key needs, allowing you to monitor every element of your data protection strategy with assurance. This integrated methodology not only simplifies security management but also aids in adhering to recognized best practices for data governance, ultimately contributing to a more robust security posture for your organization. By consolidating various encryption processes, it fosters a culture of accountability and transparency in data protection efforts.

KVM, or Kernel-based Virtual Machine, is a robust virtualization platform designed for Linux systems that run on x86 hardware with virtualization support, such as Intel VT or AMD-V. It consists of a loadable kernel module named kvm.ko, which forms the core of the virtualization framework, and a processor-specific module, either kvm-intel.ko or kvm-amd.ko, tailored for Intel or AMD processors respectively. With KVM, users can create and manage multiple virtual machines that can execute unmodified operating systems like Linux or Windows. Each of these virtual machines is equipped with its own allocated virtual hardware, which includes components such as network interface cards, storage devices, and graphics adapters. As an open-source initiative, KVM has been part of the mainline Linux kernel since version 2.6.20, and its userspace has been integrated into the QEMU project since version 1.3, facilitating broader adoption and compatibility across various virtualization tasks. This seamless integration allows for a diverse range of applications and services to leverage KVM’s capabilities effectively. Additionally, the continuous development of KVM ensures that it keeps pace with advancements in virtualization technology.

VMware Workstation Pro is widely acknowledged as the premier solution for managing numerous virtual machines (VMs) on a single device operating on either Linux or Windows. It serves as a primary resource for IT experts, developers, and organizations engaged in the development, testing, or presentation of software across different devices, platforms, and cloud settings. Users can efficiently run several operating systems concurrently on their Windows or Linux machines with VMware Workstation Pro. This software facilitates the creation of realistic VMs for various environments, including Linux, Windows, and other desktop, server, and tablet systems, all while providing customizable virtual networking capabilities and the option to simulate diverse network scenarios. Consequently, it proves to be exceptionally useful for a multitude of tasks such as code development, architectural design, application testing, and showcasing products. Additionally, users can establish secure connections to vSphere, ESXi, or other Workstation servers, enabling effective management and oversight of both VMs and physical machines. The unified VMware hypervisor not only boosts productivity but also eases the process of transferring VMs between local PCs, making it an invaluable asset for professionals. Furthermore, VMware Workstation Pro is essential for anyone who needs to navigate and operate within complex virtualized environments, thereby reinforcing its significance in modern IT practices.

Raff is a cloud infrastructure platform based in the United States that serves developers, startups, agencies, and growing enterprises. It provides an extensive array of services, which includes virtual machines for both Linux and Windows, managed Kubernetes solutions, managed databases, object storage, block volumes, private networking, load balancers, backup options, and serverless functions. Users are equipped with various tools to provision and oversee their infrastructure through a cloud dashboard, REST API, command-line interface, or Terraform provider. The cloud servers from Raff run on powerful AMD EPYC processors and utilize NVMe SSD storage, ensuring strong DDoS protection and unmetered bandwidth to enhance both security and performance. This platform is adaptable, supporting various needs such as application hosting, containerized workloads, data storage, and software development environments. Moreover, Raff provides monthly subscription plans designed for teams requiring virtual servers and related cloud services, all available from a single provider, which makes it a compelling choice for businesses aiming to optimize their cloud operations. Ultimately, Raff establishes itself as a thorough solution for users in search of dependable and scalable cloud infrastructure, ensuring that their diverse needs are met efficiently.

QEMU is a dynamic and open-source tool that functions as both a machine emulator and a virtualizer, permitting users to run various operating systems on multiple architectures. This allows for applications created for different Linux or BSD systems to be executed seamlessly on any compatible architecture. In addition, it offers the capability to run KVM and Xen virtual machines with impressive performance that is comparable to native execution. Recently, a host of new features has been incorporated, including comprehensive guest memory dumps, pre-copy/post-copy migration, and the ability to take background snapshots of guests. Furthermore, support for DEVICE_UNPLUG_GUEST_ERROR has been introduced, enabling the identification of hotplug failures as reported by guests. For macOS users utilizing Apple Silicon CPUs, the introduction of the ‘hvf’ accelerator significantly enhances AArch64 guest support. The integration of the M-profile MVE extension for the Cortex-M55 processor represents another noteworthy advancement. Additionally, AMD SEV guests can now conduct kernel binary measurement during direct kernel boot without the need for a bootloader. Enhanced vhost-user and NUMA memory options have also been made available across all supported boards, reflecting a significant commitment to compatibility. This expansion of capabilities underscores QEMU's dedication to delivering powerful virtualization solutions that adapt to a broad spectrum of user requirements and technological advancements.

Sandbox0 is a runtime environment that complies with Apache-2.0 and is specifically designed to run AI agents and services that manage untrusted code over prolonged periods. It provides secure and isolated Linux environments that can execute commands, retain stateful contexts, perform file operations, enable SSH access, oversee supervised sessions, and implement network controls. Its architecture is engineered to allow sandboxes to maintain a durable writable RootFS through effective pause-and-resume checkpoints, while also incorporating features like snapshots, restoration capabilities, and forks that permit the establishment of reusable workspaces. Developers can utilize SDKs for Python, JavaScript/TypeScript, and Go, as well as an HTTP API and the s0 CLI, to create and manage their sandboxes with ease and efficiency. For those interested in hosted solutions, Sandbox0 Cloud provides easy access, while organizations have the flexibility to self-host the runtime on dedicated Nomad infrastructure. By default, when the system is paused, it retains the filesystem state, yet it does not preserve live process memory or external connections; however, experimental memory recovery can be pursued depending on the necessary deployment infrastructure. This comprehensive approach not only enhances flexibility and security but also caters to diverse user requirements in the realm of AI technologies, making it a versatile tool for developers and organizations alike.

Mesos operates on principles akin to those of the Linux kernel; however, it does so at a higher abstraction level. Its kernel spans across all machines, enabling applications like Hadoop, Spark, Kafka, and Elasticsearch by providing APIs that oversee resource management and scheduling for entire data centers and cloud systems. Moreover, Mesos possesses native functionalities for launching containers with Docker and AppC images. This capability allows both cloud-native and legacy applications to coexist within a single cluster, while also supporting customizable scheduling policies tailored to specific needs. Users gain access to HTTP APIs that facilitate the development of new distributed applications, alongside tools dedicated to cluster management and monitoring. Additionally, the platform features a built-in Web UI, which empowers users to monitor the status of the cluster and browse through container sandboxes, improving overall operability and visibility. This comprehensive framework not only enhances user experience but also positions Mesos as a highly adaptable choice for efficiently managing intricate application deployments in diverse environments. Its design fosters scalability and flexibility, making it suitable for organizations of varying sizes and requirements.

CloakBrowser gives automation teams a familiar Chromium environment for Playwright, Puppeteer, Selenium, and CDP workflows. It is designed for engineers who need dependable browser sessions for public-web data, QA, monitoring, scraping, and AI agents without rebuilding their existing automation stack. The browser runs locally or in infrastructure controlled by the customer, including Windows, macOS, Linux, Docker, and VPS environments. It supports Python, JavaScript, and .NET integrations, persistent browser profiles, reproducible identities, proxy-aware configuration, natural interaction timing, and persistent CDP server deployments. The wrapper is available under the MIT license; the custom Chromium build uses a separate proprietary license. CloakBrowser does not bundle proxies or CAPTCHA solving, so teams can keep their existing providers and operational controls.

OpenHarness is an open-source SDK built with TypeScript, aimed at developers who wish to craft customized AI-agent applications, including coding assistants, command-line utilities, and web-based supports. This toolkit is equipped with stateless agent execution, explicit management of conversation states, and streaming event support, as well as middleware options for retries, data persistence, and context oversight. Furthermore, it enables the creation of hierarchical subagents and tools governed by permission settings. Developers can seamlessly connect to model providers using the Vercel AI SDK, expand features through the Model Context Protocol (MCP), and employ filesystem or shell tools via adaptable providers. The SDK also provides React hooks and Vue composables, making it easier to integrate streaming agent outputs into diverse application interfaces. OpenHarness is distributed as an npm package and is tailored for projects that operate within Node.js or edge environments, functioning primarily as a developer-oriented library instead of a service intended for end-users. In addition, its design promotes both flexibility and scalability for AI application development, empowering users to customize their solutions to meet specific demands effectively. This adaptability ensures that developers can explore innovative AI applications without being constrained by rigid structures.

Sprites by Fly.io is a platform for creating stateful sandbox environments that run arbitrary code inside hardware-isolated Linux computers. A Sprite is designed to answer the question of where to safely run a blob of code, whether that code comes from an AI agent, a developer workflow, a user-uploaded binary, or an application process. Unlike short-lived stateless sandboxes, Sprites are persistent environments that can keep files, state, and execution context across runs. The platform supports checkpoint and restore so workloads can pause, resume, and recover without rebuilding everything from scratch. Sprites use a fast directly attached NVMe filesystem for active work and continuously sync that filesystem to durable external object storage. This storage model gives developers a normal Linux disk experience while supporting durable persistence and automatic growth. Developers can install the Sprites CLI, log in, create a Sprite, run commands, and connect directly to a Sprite console. The platform also provides a REST API and language support for JavaScript, Go, Elixir, and Python. Sprites include capabilities around persistence, checkpoints, Sprite URLs, sandbox VMs, and network policy for controlling how environments run and connect. Pricing is based on actual usage across CPU hours, memory hours, hot storage, and cold storage, making it practical for bursty workloads like coding agents or lightweight web apps. By combining hardware isolation, Linux compatibility, stateful persistence, checkpointing, durable storage, APIs, and usage-based billing, Sprites gives developers a flexible execution layer for AI agents, sandboxed code, and persistent application environments.

Daytona is a scalable development platform that simplifies how developers and AI agents build and test software in the cloud. It allows users to spin up isolated sandboxes on demand, each running in a secure microVM with integrated networking and persistent data. The Daytona SDKs for Python and TypeScript enable seamless automation. Developers can run commands, manage files, or deploy temporary environments directly through code. Organizations use Daytona to unify their workflows, replacing local environments with fast, reliable cloud sandboxes that integrate with existing CI/CD pipelines. It’s optimized for automation-heavy projects, large teams, and agent-driven development.

Omarchy is a customizable Linux operating system built on Arch Linux and developed by David Heinemeier Hansson to provide a streamlined desktop environment for developers, technical professionals, and AI-assisted computing workflows. The distribution uses the Hyprland tiling window manager to organize application windows automatically and support efficient keyboard-driven navigation. Its desktop interface incorporates Quickshell components, configurable workspaces, notifications, application launchers, and system controls designed around a cohesive visual experience. Omarchy includes preconfigured applications such as Neovim, Chromium, Obsidian, LibreOffice, and various command-line utilities for software development and general productivity. Integrated AI agent functionality allows users to select a compatible assistant during setup and use it to troubleshoot problems, inspect application crashes, and customize their operating system. Agent development tools and reusable skills support the creation of applications, desktop plugins, themes, and other system modifications through natural language instructions. The platform offers multiple built-in themes that simultaneously change wallpapers, terminal appearance, desktop panels, notification styles, and related interface elements. Development environment management includes support for Ruby on Rails, Laravel, Node.js, Docker, Git utilities, and programming language version management through Mise. Users can install preferred code editors and terminal emulators, including Visual Studio Code, Cursor, Zed, Sublime Text, Ghostty, Kitty, and Alacritty, while retaining integrated keyboard shortcuts. Gaming support includes Steam, Proton, RetroArch, Minecraft, and additional launchers, while a Windows 11 virtual machine option allows users to run compatible Windows productivity applications.

Persistent Disk delivers reliable and efficient block storage specifically designed for virtual machine instances. In situations where high throughput is prioritized, HDD offers a budget-friendly storage option. On the other hand, SSD provides consistently exceptional performance for both random-access operations and high-throughput requirements. Each storage type can be expanded to a maximum capacity of 64 TB. With the ability for multi-reader mounting, multiple virtual machines can access a single Persistent Disk at the same time without a reduction in overall performance or incurring extra costs. You can eliminate concerns about having to downsize your block devices, as Persistent Disk offers remarkable flexibility, allowing you to adjust your storage size on the fly across one or more virtual machines without any service interruption. Furthermore, for added convenience and flexibility, snapshots are automatically geo-replicated, making them easily accessible for restoration in all regions. The process of creating snapshots of a block device is also remarkably quick, taking only minutes rather than hours. To protect your data, Persistent Disks come with automatic encryption, ensuring your information remains safe both during transmission and while at rest. With all these features combined, Persistent Disk emerges as a powerful and effective solution for managing your storage requirements, making it an ideal choice for businesses seeking reliability and performance.

Ovrin is a cloud-based computing platform specifically designed for developers engaged in creating AI agents and software that need to run in controlled environments. The platform allows users to utilize a REST API, Python, and TypeScript SDKs or an MCP server to create temporary Linux sandboxes, execute shell commands, manage stateful code, handle files, configure scoped API keys, and retrieve execution results. It also includes prebuilt configurations like Claude Code, OpenAI Codex, Gemini CLI, and DeepSeek Harness, while offering browser workflows that work seamlessly with Chrome and Playwright. Furthermore, Ovrin incorporates features such as persistent memory, lifecycle controls for sandboxes, usage analytics, and concurrency limitations. Typical use cases for Ovrin involve running coding agents, automating browser-based tasks, and executing code produced by various models. Importantly, the platform provides a free tier, with multiple paid plans available that enhance concurrency and compute costs based on usage. In essence, Ovrin is designed to facilitate and optimize the development of AI solutions by delivering a dynamic and adaptable environment for developers. Additionally, its user-friendly interface and comprehensive features make it an appealing option for both novice and experienced programmers alike.

Cosyra provides a cloud development platform focused on mobile use, allowing users to access AI-enhanced coding tools through a full Linux terminal directly on their smartphones. Developers gain access to a range of pre-installed utilities, including Claude Code, Codex CLI, OpenCode, and Gemini CLI, which can be activated simply by entering an API key and starting the terminal. The platform features a standalone Ubuntu environment that comes with essential development tools like Node.js, Python, Git, tmux, and vim, along with 30 GB of persistent storage that keeps data intact across different sessions. Cosyra seeks to replicate the capabilities of a local development environment, allowing users to create, test, and manage their projects entirely from mobile devices. It supports a variety of workflows, such as cloning repositories, reviewing pull requests, running tests, and deploying code, all while ensuring that sessions remain persistent and can be paused and resumed seamlessly. By enhancing productivity on mobile devices, Cosyra enables developers to work more flexibly and efficiently, transcending the constraints usually inherent in standard coding environments. This innovative approach ensures that coding can be as accessible and effective on the go as it is at a traditional workstation.

The intuitive interface allows users to swiftly configure backup settings in just seconds. Equipped with a powerful reporting mechanism, any potential issues are quickly identified, guaranteeing that data remains both secure and easy to manage at all times. This level of efficiency not only conserves precious time but also bolsters data security. Furthermore, the support team provides prompt, knowledgeable, and free technical support for all licensed users, who can conveniently reach them via phone or email. Uranium Backup supports the backup of a wide range of data types, such as files, folders, disk images (Drive Image), Exchange mailboxes, databases, and virtual machines, accommodating various storage options including hard drives, NAS, tapes, FTP servers, and cloud services. With a user base exceeding 100,000 across 110 countries and an impressive total of 7 million backups performed each month, Uranium Backup has become the go-to solution for many businesses, professionals, and individual users alike. Each installation is accompanied by a single, unlimited license that includes updates and free technical support, eliminating any extra charges for server systems. This comprehensive offering makes it an appealing choice for anyone seeking dependable backup solutions, ensuring peace of mind for users everywhere.

Paseo is an open-source development environment specifically designed for developers working with AI coding agents. It supports coding-agent providers that can be hosted on local machines, development servers, or various platforms, and provides a range of client options, including desktop, web, mobile, and command-line interfaces, to facilitate efficient management. Developers can run multiple agents simultaneously within separate Git worktrees, organize sessions into well-structured workspaces, modify files, check diffs, use terminals and an integrated browser, and manage pull requests with ease. In addition, Paseo includes features like scheduling, voice commands, plugins, and orchestration through MCP, complemented by a CLI and a TypeScript SDK. The system's daemon operates locally, inside Docker containers, or on remote servers, allowing clients to connect directly or through an optional encrypted relay for enhanced security. Furthermore, the optional Paseo Hub expands the platform's functionality by integrating triggers from GitHub, Slack, and Discord, enhancing its overall capabilities. Users must install and authenticate their coding-agent providers and provide the necessary credentials, while Paseo ensures that it does not offer any agent services, allowing users to retain control over their development environments. This architecture not only provides a highly customizable experience but also prioritizes security, catering to the unique requirements of each developer. Ultimately, Paseo enables developers to harness the power of AI coding agents while maintaining flexibility and control throughout their workflow.

AMD Developer Cloud provides developers and open-source contributors with instant access to powerful AMD Instinct MI300X GPUs via an easy-to-use cloud platform, which comes equipped with a pre-configured environment that features Docker containers and Jupyter notebooks, thereby removing the necessity for any local installations. Users can run a variety of workloads, including AI, machine learning, and high-performance computing, with setups customized to their specifications; they can choose between a compact configuration featuring 1 GPU with 192 GB of memory and 20 vCPUs, or a more extensive arrangement with 8 GPUs offering an impressive 1536 GB of GPU memory and 160 vCPUs. The platform functions on a pay-as-you-go basis tied to a payment method and grants initial free hours, such as 25 hours for eligible developers, to support hardware prototyping efforts. Crucially, users retain full ownership of their projects, enabling them to upload code, data, and software without losing any rights. This streamlined access not only accelerates innovation but also encourages developers to push the boundaries of what is possible in their fields, fostering a vibrant community of creativity and technological advancement. Ultimately, AMD Developer Cloud represents a significant leap forward in providing developers with the resources they need to succeed.

Calljmp is an Agentic backend for AI features inside your product Calljmp runs your AI agents next to your existing backend, so you can add product copilots and other AI features without building new infrastructure. ▪️Long-running, stateful agents with HITL ▪️Secure access to your app's data and APIs ▪️Traces, logs, and costs in one place

Yandex Cloud Backup offers a robust solution for protecting application data by utilizing the Cloud Backup agent installed within the guest operating system, ensuring high reliability. Users have the ability to extract specific files from their backups and correctly position them within the current virtual machine's directory structure. Furthermore, backup policies can be developed for virtual machines throughout the cloud environment via the console, and these policies are applicable during the virtual machine's setup phase. All backup operations occur within the cloud, requiring merely the configuration and implementation of policies on the selected virtual machines. Unlike a standard disk snapshot, this service creates copies of all disks associated with the virtual machine, which includes network SSDs, HDDs, non-replicated disks, and local disks on dedicated hosts. Should the need arise to revert the current virtual machine to a previous state be impractical, users can opt to restore their backup to a newly established virtual machine, thus providing both flexibility and resilience in data management practices. This comprehensive functionality positions Yandex Cloud Backup as an essential tool for not only managing backups but also maintaining the overall application integrity in a cloud setting, allowing businesses to operate with confidence and security.

ADE functions as a versatile development platform specifically designed for software engineers who utilize AI coding agents alongside Git repositories. It effectively manages numerous tasks within separate Git worktrees while incorporating a range of functionalities such as agent chat, collaborative multi-agent work sessions, terminal access, file editing, automated testing, browser-based quality assurance, automation utilities, and pull request evaluations, all within a unified workspace. Users can access ADE through various channels, including desktop, browser, terminal, and iOS apps, which synchronize project activities with an ADE Brain hosted on a machine controlled by the user, offering the convenience of operating on Linux without needing a dedicated desktop app. The system supports various AI tools, including Claude Code, Codex, Cursor, Factory Droid, and OpenCode, and allows for integration with GitHub and Linear to streamline pull request processes and enhance issue management workflows. Developers can review changes, assess testing results, and keep their workflows consistent across different devices, thereby ensuring a seamless and efficient development experience. Furthermore, ADE's intuitive interface not only facilitates teamwork but also significantly boosts productivity for groups engaged in intricate software development tasks. This platform ultimately aims to create an environment where collaboration and efficiency thrive, allowing teams to tackle complex challenges with greater ease.

Sengi operates as a managed runner service for GitHub Actions, facilitating Linux CI tasks on newly set up Ubuntu 24.04 x64 virtual machines. Teams are able to easily connect their GitHub repositories and assign relevant workflow jobs to Sengi by modifying the runner label, all while preserving their existing Actions workflows, steps, secrets, logs, and triggers. The service offers a range of machine configurations such as 2-vCPU/8-GB, 4-vCPU/16-GB, and 8-vCPU/32-GB, accommodating various tasks including builds, tests, Docker workflows, and the execution of multiple jobs simultaneously. Each user account receives a monthly allowance of 3,000 standard-2-equivalent minutes that can be utilized across various runner sizes, and initiating usage does not require a payment card. Charges for job execution are based on per-minute usage according to the chosen machine size, while boot and teardown durations are not subject to billing. Sengi is designed for developers and DevOps teams in search of an uncomplicated managed Linux execution solution for GitHub Actions, significantly reducing the burden of maintaining their own runner fleet. Currently, the service is limited to support Ubuntu 24.04 on x64 architecture, which provides a consistent environment for all users. As a result, Sengi presents an attractive option for teams aiming to enhance their CI/CD workflows in a streamlined manner, ultimately driving efficiency and productivity. Additionally, the straightforward setup process allows teams to focus more on development and less on infrastructure management.

The STORServer® Virtual Machine Backup (VMB) solution enables the backup and storage of VMware virtual machines directly onto an IBM Spectrum® Protect server, applicable to both STORServer Appliances and existing IBM Spectrum Protect systems. Engineered with user-friendliness in mind, STORServer VMB can be quickly installed and set up, requiring little daily oversight, making it a top choice for businesses in need of dependable backup for their virtual infrastructures. This innovative solution employs two distinct backup methods: VMB Native, created by STORServer and utilized as the primary option, and VMB Spectrum, which is based on IBM Spectrum Protect for Virtual Environments and tailored for safeguarding VMware data. Users have the flexibility to choose the backup approach that best meets their individual needs. The system’s architecture supports the seamless transfer of virtual machine (VM) data to and from VMs and IBM Spectrum Protect storage pools, bypassing the need for ESX/ESXi servers, while the integration of changed block tracking (CBT) greatly minimizes the amount of data transferred, thereby boosting efficiency. Furthermore, STORServer VMB not only enhances data protection but also optimizes resource utilization, providing a comprehensive backup solution tailored for the demands of contemporary virtualized environments. This adaptability ensures that organizations can maintain robust backup strategies as their virtual needs evolve over time.

Nextify acts as a cloud infrastructure platform that facilitates the provisioning and management of diverse virtual machines, including those for confidential computing, GPU instances, and necessary networking and storage options. The platform is equipped with both shared and dedicated vCPU options driven by AMD EPYC processors, featuring secure VMs with AMD SEV-SNP technology that ensures encrypted guest memory, a virtual TPM, and remote attestation capabilities. In addition, it offers GPU VMs powered by AMD Radeon AI PRO R9700 graphics cards, which are ideal for high-performance computing requirements. Users can attach NVMe-backed block storage, create snapshots, and establish S3-compatible object storage buckets, while also benefiting from public IPv4 addresses, firewalls, private networks, VPN gateways, and load balancers. Resource management is facilitated through a web portal or a REST API and command-line interface, which allows for automation via scripts, CI pipelines, and Terraform configurations. Moreover, compute instances are billed hourly, with a maximum monthly cap, making them suitable for a wide range of applications such as web services, development and test environments, databases, build jobs, GPU inference, fine-tuning, and rendering tasks. This extensive range of features positions Nextify as a robust solution for businesses aiming to optimize their cloud infrastructure management while addressing various operational demands. Ultimately, the platform's versatility ensures it can adapt to the evolving technological landscape and meet diverse customer needs.

Gardience offers a thorough fleet management solution that caters to both Windows and Linux operating systems, leveraging Salt and available in self-hosted or vendor-managed formats. The platform is equipped with functionalities such as patch management, assessments of CVE vulnerabilities, oversight of configurations, and compliance with STIG and CIS security standards, along with the option to export audit reports. IT professionals can efficiently oversee server inventories, plan and authorize changes, and maintain comprehensive records of activities that are tamper-evident. It also supports Ansible playbooks and includes a Terraform provider to streamline the integration of new machines and automate configuration applications. Furthermore, Gardience features a REST API and an MCP server, which enable automation and workflows involving AI agents, while ensuring that all changes require human verification beforehand. In addition, it offers workflows tailored for CMMC Level 2 assessments, including policy templates, evidence collection, and assistance with System Security Plans as well as Plans of Action and Milestones. This adaptable tool is specifically designed for teams managing a wide variety of Windows and Linux environments, especially those constrained by regulatory requirements or operating in air-gapped conditions. As technology continues to advance rapidly, Gardience’s extensive capabilities make it a vital resource for organizations aiming to improve their IT management strategies and adapt to future challenges. It not only enhances efficiency but also reinforces security measures across diverse operating environments.