Alternatives to Docker Scout

The Industry Standard Universal Binary Repository Management Manager. All major package types supported (over 27 and growing), including Maven, npm. Python, NuGet. Gradle. Go and Helm, Kubernetes, Docker, as well as integration to leading CI servers or DevOps tools you already use. Additional functionalities include: - High availability that scales to infinity through active/active clustering in your DevOps environment. This scales as your business grows - On-Prem or Cloud, Hybrid, Multi-Cloud Solution - De Facto Kubernetes Registry for managing application packages, operating systems component dependencies, open sources libraries, Docker containers and Helm charts. Full visibility of all dependencies. Compatible with a growing number of Kubernetes cluster provider.

Portainer Business makes managing containers easy. It is designed to be deployed from the data centre to the edge and works with Docker, Swarm and Kubernetes. It is trusted by more than 500K users. With its super-simple GUI and its comprehensive Kube-compatible API, Portainer Business makes it easy for anyone to deploy and manage container-based applications, triage container-related issues, set up automate Git-based workflows and build CaaS environments that end users love to use. Portainer Business works with all K8s distros and can be deployed on prem and/or in the cloud. It is designed to be used in team environments where there are multiple users and multiple clusters. The product incorporates a range of security features - including RBAC, OAuth integration and logging, which makes it suitable for use in large, complex production environments. For platform managers responsible for delivering a self-service CaaS environment, Portainer includes a suite of features that help control what users can / can't do and significantly reduces the risks associated with running containers in prod. Portainer Business is fully supported and includes a comprehensive onboarding experience that ensures you get up and running.

Public container registries are hosted out in the open, while many private registries operate from providers’ clouds. Mirantis Secure Registry works where you need it—including on your clusters themselves, putting you back in control. Mirantis Secure Registry is an enterprise-grade container registry that can be easily integrated with standard Kubernetes distributions to provide the core of an effective secure software supply chain. Role-based access control Integrate with internal user directories to implement fine-grained access policies. Synchronize multiple repositories for separation of concerns from development through production. Image scanning Continuously scan images at the binary level and check against a regularly updated CVE vulnerability database. Image signing Developers and CI tools can digitally sign contents and publishers of images, so downstream users and automation tools can verify image authenticity before running. Caching and mirroring Mirror and cache container image repositories to avoid network bottlenecks and make images available across multiple sites for distributed teams and production environments. Image lifecycle Automatically clean up images based on policy controls.

Docker streamlines tedious configuration processes and is utilized across the entire development lifecycle, facilitating swift, simple, and portable application creation on both desktop and cloud platforms. Its all-encompassing platform features user interfaces, command-line tools, application programming interfaces, and security measures designed to function cohesively throughout the application delivery process. Jumpstart your programming efforts by utilizing Docker images to craft your own distinct applications on both Windows and Mac systems. With Docker Compose, you can build multi-container applications effortlessly. Furthermore, it seamlessly integrates with tools you already use in your development workflow, such as VS Code, CircleCI, and GitHub. You can package your applications as portable container images, ensuring they operate uniformly across various environments, from on-premises Kubernetes to AWS ECS, Azure ACI, Google GKE, and beyond. Additionally, Docker provides access to trusted content, including official Docker images and those from verified publishers, ensuring quality and reliability in your application development journey. This versatility and integration make Docker an invaluable asset for developers aiming to enhance their productivity and efficiency.

Experience the pinnacle of hybrid Docker and Helm registry technology with the JFrog Container Registry, designed to empower your Docker ecosystem without constraints. Recognized as the leading registry on the market, it offers support for both Docker containers and Helm Chart repositories tailored for Kubernetes deployments. This solution serves as your unified access point for managing and organizing Docker images while effectively circumventing issues related to Docker Hub throttling and retention limits. JFrog ensures dependable, consistent, and efficient access to remote Docker container registries, seamlessly integrating with your existing build infrastructure. No matter how you choose to develop and deploy, it accommodates your current and future business needs, whether through on-premises, self-hosted, hybrid, or multi-cloud environments across platforms like AWS, Microsoft Azure, and Google Cloud. With a strong foundation in JFrog Artifactory’s established reputation for power, stability, and resilience, this registry simplifies the management and deployment of your Docker images, offering DevOps teams comprehensive control over access permissions and governance. Additionally, its robust architecture is designed to evolve and adapt, ensuring that you stay ahead in an ever-changing technological landscape.

Oracle Cloud Infrastructure Container Registry is a managed Docker registry service that adheres to open standards, allowing for the secure storage and sharing of container images. Engineers can utilize the well-known Docker Command Line Interface (CLI) and API to efficiently push and pull Docker images. The Registry is designed to facilitate container lifecycles by integrating seamlessly with Container Engine for Kubernetes, Identity and Access Management (IAM), Visual Builder Studio, as well as various third-party development and DevOps tools. Users can manage Docker images and container repositories by employing familiar Docker CLI commands and the Docker HTTP API V2. With Oracle handling the operational aspects and updates of the service, developers are free to concentrate on creating and deploying their containerized applications. Built on a foundation of object storage, Container Registry guarantees data durability and high availability of service through automatic replication across different fault domains. Notably, Oracle does not impose separate fees for the service; users are only billed for the storage and network resources utilized, making it an economical choice for developers. This model allows for a streamlined experience in managing container images while ensuring robust performance and reliability.

With Container Registry, your team has the ability to oversee Docker images, conduct vulnerability assessments, and implement precise access controls for resource management, all from a single platform. The integration with existing CI/CD systems enables you to set up fully automated Docker pipelines, ensuring that information flows without any delays. Within just a few minutes, you can access private and secure Docker image storage on the Google Cloud Platform. You have the power to control who can access, view, or download images, ensuring that sensitive data remains protected. Experience consistent uptime on a secure infrastructure, backed by Google’s robust security measures. As you commit code to Cloud Source Repositories, GitHub, or Bitbucket, images can be built and pushed automatically to the private registry. Additionally, you can easily configure CI/CD pipelines with Cloud Build integration or deploy applications directly to platforms such as Google Kubernetes Engine, App Engine, Cloud Functions, or Firebase. Containers can be built automatically in response to code changes or tagged updates to a repository. Furthermore, you can search through previous builds using the user interface, and access detailed information about each build, including triggers, sources, steps taken, and logs generated. This comprehensive approach makes managing your Docker images simpler and more efficient than ever.

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.

Oracle Container Cloud Service, also referred to as Oracle Cloud Infrastructure Container Service Classic, delivers a streamlined and secure Docker containerization experience for Development and Operations teams engaged in application development and deployment. It features a user-friendly interface that facilitates the management of the Docker environment. Additionally, it offers ready-to-use examples of containerized services and application stacks that can be deployed with just a single click. This service allows developers to seamlessly connect to their private Docker registries, enabling them to utilize their own containers. Furthermore, it empowers developers to concentrate on the creation of containerized application images and the establishment of Continuous Integration/Continuous Delivery (CI/CD) pipelines, freeing them from the complexities of mastering intricate orchestration technologies. Overall, the service enhances productivity by simplifying the container management process.

Artifact Registry serves as Google Cloud's comprehensive and fully managed solution for storing packages and containers, focusing on efficient artifact storage and dependency oversight. It provides a central location for hosting various types of artifacts, including container images (Docker/OCI), Helm charts, and language-specific packages such as Java/Maven, Node.js/npm, and Python, ensuring quick, scalable, reliable, and secure operations, complemented by integrated vulnerability scanning and access control based on IAM. The platform integrates effortlessly with Google Cloud's CI/CD solutions, which include Cloud Build, Cloud Run, GKE, Compute Engine, and App Engine, while also enabling the creation of regional and virtual repositories fortified with finely-tuned security protocols through VPC Service Controls and encryption keys managed by customers. Developers gain from the standardized support of the Docker Registry API alongside extensive REST/RPC interfaces and options for transitioning from Container Registry. Furthermore, the platform is backed by continuously updated documentation that covers essential topics, including quickstart guides, repository management, access configuration, observability tools, and detailed instructional materials, ensuring users have the resources they need to maximize their experience. This robust support infrastructure not only aids in efficient artifact management but also empowers developers to streamline their workflows effectively.

Centurion is a deployment tool specifically designed for Docker, facilitating the retrieval of containers from a Docker registry to deploy them across a network of hosts while ensuring the appropriate environment variables, host volume mappings, and port configurations are in place. It inherently supports rolling deployments, simplifying the process of delivering applications to Docker servers within our production infrastructure. The tool operates through a two-stage deployment framework, where the initial build process pushes a container to the registry, followed by Centurion transferring the container from the registry to the Docker fleet. Integration with the registry is managed via the Docker command line tools, allowing compatibility with any existing solutions they support through conventional registry methods. For those unfamiliar with registries, it is advisable to familiarize yourself with their functionality prior to deploying with Centurion. The development of this tool is conducted openly, welcoming community feedback through issues and pull requests, and is actively maintained by a dedicated team at New Relic. Additionally, this collaborative approach ensures continuous improvement and responsiveness to user needs.

Container Registry enables efficient management of images throughout their entire lifecycle, ensuring secure handling and stable image builds across various global regions, while also facilitating straightforward image permission management. This service streamlines the establishment and upkeep of image registries and accommodates image management in multiple areas. When integrated with other cloud offerings like container services, Container Registry delivers an enhanced solution for utilizing Docker within cloud environments. It offers a dedicated intranet URL for the image repository specific to each region, allowing users to download images without incurring traffic costs. Additionally, it automates build services in regions beyond China and executes them in stages. Users can effortlessly check the security status of images and access comprehensive vulnerability reports. The platform also offers a user-friendly Docker-based continuous integration and delivery solution, making it easy to initiate services with minimal management and maintenance expenses. This efficiency in operations allows organizations to focus more on development and less on image management complexities.

Instainer is a cloud-based Docker container hosting platform that enables users to deploy any Docker container instantly using a Heroku-style Git deployment approach. During our transition to Docker within the company, we realized that there was a gap in immediate access to containers, despite Docker offering exceptional capabilities for our DevOps team. To address this need, we created Instainer specifically for engineers seeking to quickly run Docker containers in the cloud. We highly encourage your input and insights to enhance our service. Instainer facilitates Heroku-style Git deployment for your containers, and once you launch a container, it automatically generates a Git repository, pushing the container's data into it for seamless management. Users can effortlessly clone and modify their data through Git, allowing for efficient development workflows. Additionally, Instainer supports the WordPress content management system, enabling the use of plugins, widgets, and themes to enrich user experience and functionality. Our aim is to streamline the deployment process and empower developers with rapid and flexible container management.

Clair is an open-source initiative designed for the static analysis of security vulnerabilities within application containers, such as those used in OCI and Docker environments. Users interact with the Clair API to catalog their container images, allowing them to identify any potential vulnerabilities by comparing them to established databases. The primary aim of this project is to foster a clearer understanding of the security landscape surrounding container-based infrastructures. Reflecting this mission, the name Clair is derived from the French word that means clear, bright, or transparent. Within Clair, manifests serve as the framework for representing container images, and the project utilizes the content-addressable nature of OCI Manifests and Layers to minimize redundant processing efforts, thereby enhancing efficiency in vulnerability detection. By streamlining this analysis, Clair contributes significantly to the overall security of containerized applications.

WhaleDeck is the ultimate app to monitor and control your Docker containers. WhaleDeck's user-friendly interface is packed with powerful features. It is the only tool that you need to manage Docker environments. WhaleDeck's real time visualization of CPU, Memory, Drive and Network usage allows you to easily monitor your containers. Log viewer allows you to keep track of container logs, and identify problems quickly. With the ability to manage multiple servers simultaneously, you can manage all your Docker environments in one place. You can control your containers by running actions such as start, stop and pause for a single container, or multiple containers, at the same time. Split View allows you to work more efficiently by displaying multiple parts of your Docker Environment side-by-side. WhaleDeck is the perfect tool for anyone who needs to manage Docker Containers, whether they are developers, DevOps engineers, or simply someone who wants to manage Docker Containers.

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.

Mailcow: Dockerized is a self-hosted email and groupware solution built on Docker technology. It incorporates a variety of established and reliable components that work together to create a hassle-free email server experience. Each application is encapsulated within its own container, all linked through a bridged network for seamless interaction and functionality. This modular approach enhances the scalability and maintainability of the server setup.

Mirantis Container Runtime (MCR), which was previously known as Docker Engine Enterprise, serves as a secure and robust container runtime designed for enterprise use, allowing development teams to create and manage containers on both Linux and Windows platforms while utilizing the familiar Docker CLI, Dockerfiles, and APIs essential for mission-critical applications. This solution is fully aligned with Docker-centric workflows and toolchains, ensuring a smooth transition from development to production with rigorously tested and validated releases across various operating systems, accompanied by comprehensive CVE patching and bug fixes that maintain workload reliability. Furthermore, MCR emphasizes top-tier security through FIPS 140-2 certified cryptographic modules, implements mandatory access controls such as AppArmor and SELinux, and incorporates image signature verification, alongside support for sandboxed runtimes like Kata and gVisor, all aimed at maintaining trusted and compliant containers. The combination of these features positions MCR as a leading choice for organizations seeking to enhance their container management capabilities while adhering to strict security standards.

The latest iterations of Docker feature swarm mode, which allows for the native management of a cluster known as a swarm, composed of multiple Docker Engines. Using the Docker CLI, one can easily create a swarm, deploy various application services within it, and oversee the swarm's operational behaviors. The Docker Engine integrates cluster management seamlessly, enabling users to establish a swarm of Docker Engines for service deployment without needing any external orchestration tools. With a decentralized architecture, the Docker Engine efficiently manages node role differentiation at runtime rather than at deployment, allowing for the simultaneous deployment of both manager and worker nodes from a single disk image. Furthermore, the Docker Engine adopts a declarative service model, empowering users to specify the desired state of their application's service stack comprehensively. This streamlined approach not only simplifies the deployment process but also enhances the overall efficiency of managing complex applications.

Utilize a fully managed private registry to store and distribute container images efficiently. You can push these private images to seamlessly run within the IBM Cloud® Kubernetes Service and various other runtime environments. Each image undergoes a security assessment, enabling you to make well-informed choices regarding your deployments. To manage your namespaces and Docker images in the IBM Cloud® private registry through the command line, install the IBM Cloud Container Registry CLI. You can also utilize the IBM Cloud console to examine potential vulnerabilities and the security status of images housed in both public and private repositories. It is essential to monitor the security condition of container images provided by IBM, third-party vendors, or those added to your organization's registry namespace. Furthermore, advanced features offer insights into security compliance, along with access controls and image signing options, ensuring a fortified approach to container management. Additionally, enjoy the benefits of pre-integration with the Kubernetes Service for streamlined operations.

The Docker MCP Gateway is a fundamental open source element of the Docker MCP Catalog and Toolkit, designed to run Model Context Protocol (MCP) servers within isolated Docker containers that have limited privileges, restricted network access, and defined resource constraints, thereby providing secure and consistent environments for AI applications. This component oversees the complete lifecycle of MCP servers by launching containers as needed when an AI application requires a specific tool, injecting necessary credentials, enforcing security measures, and directing requests so that servers can effectively process them and deliver outcomes through a single, cohesive gateway interface. By positioning all operational MCP containers behind one unified access point, the Gateway enhances the ease with which AI clients can discover and utilize various MCP services, minimizing redundancy, boosting performance, and centralizing aspects of configuration and authentication. In essence, it streamlines the interaction between AI applications and multiple services, fostering a more efficient development process and elevating overall system security.

Deep Learning Containers consist of Docker images that come preloaded and verified with the latest editions of well-known deep learning frameworks. They enable the rapid deployment of tailored machine learning environments, eliminating the need to create and refine these setups from the beginning. You can establish deep learning environments in just a few minutes by utilizing these ready-to-use and thoroughly tested Docker images. Furthermore, you can develop personalized machine learning workflows for tasks such as training, validation, and deployment through seamless integration with services like Amazon SageMaker, Amazon EKS, and Amazon ECS, enhancing efficiency in your projects. This capability streamlines the process, allowing data scientists and developers to focus more on their models rather than environment configuration.

Artifact repositories and container registries that are both highly available and incredibly fast can significantly enhance the productivity and satisfaction of developers, operations teams, and customers alike. Dist provides a straightforward and dependable solution for the secure distribution of Docker container images and Maven artifacts to your team, systems, and clientele. Our specifically designed edge network guarantees peak performance, regardless of where your team or customers are located. With Dist being entirely cloud-managed, you can rely on us for operations, maintenance, and backups, allowing you to concentrate on growing your business. Access to repositories can be restricted based on user and group permissions, giving each user the ability to further tailor their access through the use of access tokens. Additionally, all artifacts, container images, and their corresponding metadata are protected through encryption both at rest and during transmission, ensuring that your data remains secure and confidential. By prioritizing these features, Dist not only protects your assets but also enhances overall efficiency across your organization.

The Nebula container orchestrator is designed to empower developers and operations teams to manage IoT devices similarly to distributed Docker applications. Its primary goal is to serve as a Docker orchestrator not only for IoT devices but also for distributed services like CDN or edge computing, potentially spanning thousands or even millions of devices globally, all while being fully open-source and free to use. As an open-source initiative focused on Docker orchestration, Nebula efficiently manages extensive clusters by enabling each component of the project to scale according to demand. This innovative project facilitates the simultaneous updating of tens of thousands of IoT devices around the world with just a single API call, reinforcing its mission to treat IoT devices like their Dockerized counterparts. Furthermore, the versatility and scalability of Nebula make it a promising solution for the evolving landscape of IoT and distributed computing.

Podman is a container engine that operates without a daemon, designed for the development, management, and execution of OCI Containers on Linux systems. It enables users to run containers in both root and rootless modes, effectively allowing you to think of it as a direct replacement for Docker by using the command alias docker=podman. With Podman, users can manage pods, containers, and container images while offering support for Docker Swarm. We advocate for the use of Kubernetes as the primary standard for creating Pods and orchestrating containers, establishing Kubernetes YAML as the preferred format. Consequently, Podman facilitates the creation and execution of Pods directly from a Kubernetes YAML file through commands like podman-play-kube. Additionally, it can generate Kubernetes YAML configurations from existing containers or Pods using podman-generate-kube, streamlining the workflow from local development to deployment in a production Kubernetes environment. This versatility makes Podman a powerful tool for developers and system administrators alike.

Create, store, safeguard, scan, duplicate, and oversee container images and artifacts using a fully managed, globally replicated instance of OCI distribution. Seamlessly connect across various environments such as Azure Kubernetes Service and Azure Red Hat OpenShift, as well as integrate with Azure services like App Service, Machine Learning, and Batch. Benefit from geo-replication that allows for the effective management of a single registry across multiple locations. Utilize an OCI artifact repository that supports the addition of helm charts, singularity, and other formats supported by OCI artifacts. Experience automated processes for building and patching containers, including updates to base images and scheduled tasks. Ensure robust security measures through Azure Active Directory (Azure AD) authentication, role-based access control, Docker content trust, and virtual network integration. Additionally, enhance the workflow of building, testing, pushing, and deploying images to Azure with the capabilities offered by Azure Container Registry Tasks, which simplifies the management of containerized applications. This comprehensive suite provides a powerful solution for teams looking to optimize their container management strategies.

Accelerate the development of your deep learning project on Google Cloud: Utilize Deep Learning Containers to swiftly create prototypes within a reliable and uniform environment for your AI applications, encompassing development, testing, and deployment phases. These Docker images are pre-optimized for performance, thoroughly tested for compatibility, and designed for immediate deployment using popular frameworks. By employing Deep Learning Containers, you ensure a cohesive environment throughout the various services offered by Google Cloud, facilitating effortless scaling in the cloud or transitioning from on-premises setups. You also enjoy the versatility of deploying your applications on platforms such as Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm, giving you multiple options to best suit your project's needs. This flexibility not only enhances efficiency but also enables you to adapt quickly to changing project requirements.

Stakkr serves as a tool for Docker recompose, simplifying the creation and management of service stacks, particularly useful in web development scenarios. With its configuration file, users can set up necessary services, allowing Stakkr to automatically link and initiate everything. Operating solely through the command line interface, it stands as a viable alternative to Vagrant. If you're familiar with Docker, you understand the challenge of constructing a comprehensive environment with interconnected services, which typically requires either manual configuration or the use of docker-compose. While docker-compose is often the preferred method, it necessitates frequent adjustments for different environments, including parameter changes, image selections, and mastering the command line tool, making it somewhat inflexible and challenging for newcomers. Stakkr addresses these hurdles by offering an easy-to-use configuration file alongside a set list of services that can be expanded with plugins, streamlining the environment-building process. Moreover, it enhances user experience by facilitating seamless control directly through the command line, ultimately simplifying the Docker usage experience for developers. With Stakkr, setting up environments becomes a more efficient and less daunting task.

The Open Container Initiative (OCI) serves as an open governance framework aimed at developing industry-wide standards for container formats and runtimes. Launched on June 22, 2015, by Docker alongside other prominent figures in the container sector, the OCI encompasses two main specifications: the runtime specification (runtime-spec) and the image specification (image-spec). The runtime specification delineates the process for executing a "filesystem bundle" that has been extracted onto a disk. In practice, an OCI implementation would download an OCI Image, subsequently unpacking it into a corresponding OCI Runtime filesystem bundle. Following this, the OCI Runtime is responsible for executing the OCI Runtime Bundle. Additionally, the OCI operates as a lightweight governance project under the Linux Foundation, promoting transparency and collaboration within the container ecosystem. Its establishment marked a significant step forward towards unifying diverse container technologies and ensuring interoperability across platforms.

DxEnterprise is a versatile Smart Availability software that operates across multiple platforms, leveraging its patented technology to support Windows Server, Linux, and Docker environments. This software effectively manages various workloads at the instance level and extends its capabilities to Docker containers as well. DxEnterprise (DxE) is specifically tuned for handling native or containerized Microsoft SQL Server deployments across all platforms, making it a valuable tool for database administrators. Additionally, it excels in managing Oracle databases on Windows systems. Beyond its compatibility with Windows file shares and services, DxE offers support for a wide range of Docker containers on both Windows and Linux, including popular relational database management systems such as Oracle, MySQL, PostgreSQL, MariaDB, and MongoDB. Furthermore, it accommodates cloud-native SQL Server availability groups (AGs) within containers, ensuring compatibility with Kubernetes clusters and diverse infrastructure setups. DxE's seamless integration with Azure shared disks enhances high availability for clustered SQL Server instances in cloud environments, making it an ideal solution for businesses seeking reliability in their database operations. Its robust features position it as an essential asset for organizations aiming to maintain uninterrupted service and optimal performance.

Configuration as code allows for pipelines to be set up using a straightforward and legible file that can be committed to your git repository. Each step in the pipeline runs within a dedicated Docker container, which is automatically retrieved at the time of execution. Drone is compatible with various source code management systems, effortlessly integrating with platforms like GitHub, GitHubEnterprise, Bitbucket, and GitLab. It supports a wide range of operating systems and architectures, including Linux x64, ARM, ARM64, and Windows x64. Additionally, Drone is flexible with programming languages, functioning seamlessly with any language, database, or service that operates in a Docker container, offering the choice of utilizing thousands of public Docker images or providing custom ones. The platform also facilitates the creation and sharing of plugins by leveraging containers to insert pre-configured steps into your pipeline, allowing users to select from hundreds of available plugins or develop their own. Furthermore, Drone simplifies advanced customization options, enabling users to implement tailored access controls, establish approval workflows, manage secrets, extend YAML syntax, and much more. This flexibility ensures that teams can optimize their workflows according to their specific needs and preferences.

Wekan serves as an open-source kanban tool designed for users with a JavaScript-enabled web browser, whether on mobile or desktop. It is essential to perform daily backups of the Wekan database using mongodump to safeguard against potential data loss from issues such as bugs, updates, accidental deletions of lists or cards, hard drive failures, or crashes. Currently, there is no undo feature available, making timely backups even more critical. Only the latest version of Wekan receives support, so it is important to report any new bugs as soon as they are discovered. Notably, Wekan hosted on Sandstorm remains unaffected by security vulnerabilities that may impact standalone versions running on Snap, Docker, or from source. For those using standalone Wekan on the public Internet, it is advisable to enable automatic security updates via Snap and to regularly restore from backups when necessary, rather than relying on outdated, manually updated Docker installations that may pose security risks. Keeping your installation updated is key to maintaining a secure and efficient workflow.

Seamlessly integrate your own private registries and collaborate with your team by sharing images effortlessly. Discover the largest public registries available to locate the ideal container image tailored for your project. Understanding the contents of your containers is essential for ensuring software security. The Slim platform unveils the intricacies of container internals, enabling you to analyze, refine, and evaluate modifications across various containers or versions. Leverage DockerSlim, our open-source initiative, to streamline and enhance your container images automatically. Eliminate unnecessary or risky packages, ensuring you only deploy what is essential for production. Learn how the Slim platform can assist your team in enhancing software and supply chain security, optimizing containers for development, testing, and production, and securely deploying container-based applications to the cloud. Currently, creating an account is complimentary, and the platform is free to use. As passionate container advocates rather than salespeople, we prioritize your privacy and security as the core values driving our business. In addition, we are committed to continuously evolving our offerings based on user feedback to better meet your needs.

Experience DefectDojo firsthand by checking out its demo and logging in using sample credentials provided. Available on GitHub, DefectDojo comes with a convenient setup script to facilitate installation, and there's also a Docker container featuring a pre-built version of the tool. You'll be able to pinpoint exactly when new vulnerabilities arise in a build or are addressed. Using DefectDojo's API, tracking the timing of security assessments on products is straightforward, allowing you to monitor security tests conducted on each build seamlessly. This powerful platform enables the tracking of crucial details such as build-id, commit hash, branch or tag, orchestration server, source code repository, and build server associated with every security test performed on demand. Additionally, it offers a variety of reports covering tests, engagements, and products. By organizing products into categories of critical importance, you can focus on those that matter most to your organization. Furthermore, DefectDojo provides the capability to consolidate similar findings into a single entry, helping developers manage issues more effectively and reducing clutter in their reports. This streamlined approach enhances the overall security management process and aids in prioritizing remediation efforts efficiently.

Comprehensive protection, oversight, and micro-segmentation of workloads are essential for private cloud and on-premises data center settings. This includes fortifying security and providing monitoring capabilities specifically designed for private cloud infrastructures and physical data centers, along with support for Docker containerization. Utilizing agentless protection for Docker containers allows for extensive application control paired with streamlined management. To defend against zero-day vulnerabilities, implementing application whitelisting, detailed intrusion prevention measures, and real-time file integrity monitoring (RT-FIM) is crucial. Additionally, ensuring the security of OpenStack deployments requires thorough hardening of the Keystone identity service module. Continuous monitoring of data center security is vital for maintaining safe operations in private clouds and physical environments. Moreover, enhancing security performance in VMware setups can be achieved through agentless antimalware solutions, alongside network intrusion prevention and file reputation services, which collectively contribute to a robust security posture. Ultimately, effective security measures are indispensable for safeguarding sensitive data within these infrastructures.

Create Industry 4.0 solutions effortlessly with a user-friendly interface supported by Docker technology. Within minutes, IOhubTM enables you to link to your PLC through preconfigured applications, facilitating the construction of tailored dashboards, data exportation to either cloud or local storage, data integration from ERP systems and PLCs, and the establishment of notifications, among various other functions. Additionally, you can deploy your own software packaged in a Docker container, giving you the flexibility to customize your applications. Recognizing that coding can be tedious and prone to errors, we developed IOhubTM as an open platform that eliminates the need for any coding. Instead, you can assemble your application using our preconfigured Docker container blocks, offering limitless options for data management. The IOhubTM IIoT service is conveniently preconfigured with select EZ VPNTM hardware, sparing you from any extra monthly or annual licensing fees. Enjoy uninterrupted access to all IOhubTM services for the lifetime of your device, ensuring that you have all the tools necessary to optimize your operations. This comprehensive approach allows users to focus on innovation without the hassle of complex programming.

Explorer enables seamless navigation of your servers, mimicking the experience of using a personal computer. You can edit, cut, copy, paste, rename, create, and delete files effortlessly in real-time! With Docker, you gain comprehensive oversight of your docker containers, images, volumes, and networks through an easy-to-use interface. Meanwhile, the Monitor feature allows you to keep track of your CPU, RAM, and the processes active on your instances. The SOCKS Proxy Tunnel feature routes all your internet traffic through your server, eliminating the need to adjust your VPC's firewall settings or whitelist your IP address, as you can conveniently access your VPC like you're directly on your remote server. Additionally, you can write and execute scripts across all your servers simultaneously, streamlining your workflow. The Services Manager lets you control all services on your server, allowing you to start, stop, restart, and review logs for any active service. You also have the capability to execute git commands in any directory of your choice. Lastly, CloudSync facilitates the storage and synchronization of credentials across various devices, enabling easy access to servers through shared permissions. This comprehensive suite of tools significantly enhances server management and user convenience.

DeepSCA is an online service that uses AI to analyze software composition. It's free and can be used for software risk assessment. It accepts a variety of inputs, including binary, APKs, JavaScripts, Pythons, Docker images, etc. and does not require source code.

Conduct a thorough examination for unpatched and vulnerable operating systems, third-party applications, and libraries across your virtual machines, network devices, appliances, and endpoint workloads, all prioritized based on risk level. Streamline the management and deployment of essential security updates through our automated patching solution, which features pre-validated and easily reversible patches that can be deployed with a single click. Evaluate the configurations of your servers, network devices, and endpoints to ensure compliance. Leverage our exclusive compliance patching technology to address vulnerabilities for standards such as CIS Level 1 & 2, PCI-DSS, HIPAA, ISO 27001, and others. From static images to active running instances, you can discover, monitor, and maintain security for Docker containers, Kubernetes pods, and microservices in real-time. This comprehensive approach ensures that your entire infrastructure remains secure and compliant with industry standards.

Enhance the efficiency of your GitHub Actions with a simple one-line modification by utilizing high-performance gaming CPUs, which surpass GitHub's conventional server infrastructure. Our high-performance gaming CPUs are specifically designed to accelerate CI workloads, enabling quicker task execution. The cache is strategically positioned alongside the virtual machines, ensuring that read and write operations for your CI tasks are four times faster. Speed up your Docker image builds by taking advantage of robust machines with cached Docker layers situated close to your container registry. Additionally, Blacksmith provides seamless analytics for your GitHub Action pipelines without any extra fees, granting you unparalleled insights into your expenditure and runtime patterns across your CI environment. It's crucial to monitor cache hits to confirm that your workflows are effectively using caching, and you can easily remove any unnecessary cache entries directly from your dashboard. Furthermore, Blacksmith operates jobs in dedicated virtual machines that utilize bare metal for improved performance, while single-use GitHub access tokens are generated for each job execution, enhancing security and efficiency. This combination of features ensures that your CI processes are optimized for both speed and reliability.

The solution addresses the three key elements of Time, Cost, and Productivity, alleviating concerns for your technology teams. Introducing a new service environment is a straightforward process, as BuildPiper allows effortless modification and duplication of build and deployment specifications from existing environments. This cloning capability significantly streamlines the creation of new environments, making it both rapid and efficient. Additionally, BuildPiper features a well-structured ‘Build Details setup template’ that can easily construct the docker image of the service with just a few straightforward inputs and configurations. For any custom requirements in the docker build process, BuildPiper accommodates them seamlessly! With the inclusion of Pre hooks and Post hooks, it facilitates the execution of personalized steps before and after the Docker image is created. Furthermore, the build template permits the establishment of CI checks right at the build definition stage, ensuring thorough oversight throughout the process. This comprehensive approach not only enhances the efficiency of the build process but also empowers development teams to innovate without being bogged down by the complexities of environment management.

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.

DevOps Build is an advanced, distributed build-management solution designed to handle software builds across multiple platforms. It simplifies the complexity of project builds by leveraging project interdependencies. Establish a secure environment tailored to the specific structure and requirements of your organization. With a template-driven approach, you can configure and execute builds efficiently, resulting in quicker feedback loops. Monitor standard build procedures, adhere to source control protocols, and access comprehensive test reports to gain insights into project performance. Detect any discrepancies in projects effectively. Manage permissions to determine who can access and execute builds, which streamlines the configuration of security settings and saves considerable time and effort. Visualize intricate application structures and generate detailed performance reports to track project trends. Leverage the Docker plug-in to create Docker images seamlessly within DevOps Build. Automate the process of cloning Git repositories, tagging source artifacts, and publishing changes to source artifacts. Your workflow can be enhanced through established integrations with various tools and technologies, including those from IBM, open-source solutions, and third-party vendors, allowing for a more cohesive development experience. Additionally, the platform supports continuous improvement by providing users with the flexibility to adapt and expand their build processes as needed.

The rise of containers in the software industry has been nothing short of revolutionary, and there are many reasons behind this shift. They are essential for both DevOps practices and deployment processes, offering a wide range of advantages for developers. Unlike Virtual Machines, containers are lightweight, quick to deploy, and easily scalable. Docker serves as the perfect solution for companies, products, and agile projects alike. While Kubernetes offers powerful orchestration capabilities, it comes with a steep learning curve. Fortunately, sloppy.io simplifies this complexity by managing critical aspects such as overlay networks, storage providers, and ingress controllers for you. We handle the infrastructure needed to host your Docker containers, ensuring a secure connection to your users while reliably managing your data storage. You can effortlessly deploy and oversee your projects using our intuitive web-based interface, command line tools (CLI), and API. Additionally, our dedicated support chat connects you with experienced software engineering and operations professionals, always ready to assist you with any inquiries or challenges. This level of support ensures that your focus can remain on development rather than infrastructure concerns.

The NVIDIA GPU-Optimized AMI serves as a virtual machine image designed to enhance your GPU-accelerated workloads in Machine Learning, Deep Learning, Data Science, and High-Performance Computing (HPC). By utilizing this AMI, you can quickly launch a GPU-accelerated EC2 virtual machine instance, complete with a pre-installed Ubuntu operating system, GPU driver, Docker, and the NVIDIA container toolkit, all within a matter of minutes. This AMI simplifies access to NVIDIA's NGC Catalog, which acts as a central hub for GPU-optimized software, enabling users to easily pull and run performance-tuned, thoroughly tested, and NVIDIA-certified Docker containers. The NGC catalog offers complimentary access to a variety of containerized applications for AI, Data Science, and HPC, along with pre-trained models, AI SDKs, and additional resources, allowing data scientists, developers, and researchers to concentrate on creating and deploying innovative solutions. Additionally, this GPU-optimized AMI is available at no charge, with an option for users to purchase enterprise support through NVIDIA AI Enterprise. For further details on obtaining support for this AMI, please refer to the section labeled 'Support Information' below. Moreover, leveraging this AMI can significantly streamline the development process for projects requiring intensive computational resources.