Business Software for Docker

Experience seamless data abstraction from any source with no deployment required, as everything is efficiently managed in the cloud without the need for physical presence at the data source. Abstracta facilitates the unification of diverse data sources, making interactions with them simpler and more efficient. With our unique service builder feature, data can be transformed into a service effortlessly. Business users are empowered to conduct real-time data analysis through self-service capabilities, while data security initiatives are accelerated beyond expectations. Our groundbreaking profiling tags enhance data authorization processes, ensuring robust protection with row and column-level access control policies. Companies can effectively safeguard and monitor their data access patterns, enabling data governance efforts to soar with our premier product, Abstracta™. This solution plays a crucial role in shielding businesses from both internal and external security threats. At Ekahaa, we champion the idea of achieving substantial growth through simplicity, enabling a 10X increase in efficiency. Additionally, our intuitive UI design allows any data to be made accessible as a service in just two minutes, revolutionizing the way organizations interact with their data.

Your development team is currently investing excessive time in manually establishing their infrastructure, which can be streamlined by Okteto, allowing developers to concentrate on innovation and delivering value. Whether you're working with simple applications or intricate systems comprising over 30 microservices, Okteto provides immediate environments that facilitate quick, consistent, and dependable development processes. With Okteto, you can easily create shareable preview environments linked to every pull request, ensuring your entire organization stays informed and engaged in collaboration. Once you embrace the capabilities of Okteto, you'll discover that the benefits extend beyond engineering, as these environments can also enhance sales efforts, customer feedback, and various other functions. If you're embarking on an exciting project and wish to eliminate the hassle of managing development infrastructure, now is the perfect time to begin exploring Okteto. Remote development environments enable your team to accelerate their workflows significantly, and we believe there is a tailored Okteto solution that meets the unique needs of your organization. By leveraging Okteto, your team can shift their focus from setup to strategy, paving the way for greater productivity and innovation.

Tailored for developers and site reliability engineers alike, Akita offers a straightforward approach to observability that eliminates unnecessary complications. There's no requirement for code alterations or specific frameworks; simply deploy it, observe the results, and gain insights. This enables you to resolve problems more swiftly and accelerate your deployment processes. By modeling API behaviors and illustrating the interactions between services, Akita empowers you to pinpoint the root causes of issues effectively. It constructs detailed models of your API endpoints and their operational patterns, facilitating quicker identification of breaking changes. Furthermore, Akita aids in diagnosing latency problems and errors by highlighting modifications within your service graph. You can easily visualize the services present in your architecture without the tedious process of onboarding each one individually. Utilizing a passive monitoring approach, Akita tracks API traffic effortlessly, enabling seamless integration across your services without the need for code modifications or proxy implementations. This innovative solution not only simplifies observability but also enhances overall system performance.

A comprehensive platform designed for reproducible and scalable applications in Machine Learning and Deep Learning. Explore the array of features and products that support the leading platform for managing data science workflows today. Polyaxon offers an engaging workspace equipped with notebooks, tensorboards, visualizations, and dashboards. It facilitates team collaboration, allowing members to share, compare, and analyze experiments and their outcomes effortlessly. With built-in version control, you can achieve reproducible results for both code and experiments. Polyaxon can be deployed in various environments, whether in the cloud, on-premises, or in hybrid setups, ranging from a single laptop to container management systems or Kubernetes. Additionally, you can easily adjust resources by spinning up or down, increasing the number of nodes, adding GPUs, and expanding storage capabilities as needed. This flexibility ensures that your data science projects can scale effectively to meet growing demands.

Empower your team by providing them with coding-optional tools that enhance their capabilities. By allowing both developers and non-developers to build APIs and integrations through a user-friendly, browser-based interface, you can significantly expand your team's potential. The inclusion of automated testing and coverage reporting right from the start accelerates your ability to confidently launch new PortX APIs and integrations. Rest easy knowing that your code is robust enough to handle the demands of your users. You won't need a large team of engineers to maintain a reliable infrastructure, as this enterprise-ready integration platform combines the features of an enterprise integration manager with those of an API management system. Additionally, we take care of the management aspect for you! With a streamlined, single-screen design, you can create comprehensive integrations effortlessly. Organize your endpoints, routes, and maps seamlessly without writing a single line of code. Visual tools make it easier to manage APIs, design workflows, and monitor the health and performance of your entire ecosystem, ensuring a smoother operational experience. With such a platform, collaboration and efficiency can thrive within your organization.

A centralized hub for metrics and insights related to your key software development projects is available. Bitergia Analytics aggregates data from over 30 different platforms, allowing you to gain a comprehensive view of the software development initiatives that are significant to you. It serves as a singular source of information, eliminating the need to waste time toggling between various platforms for essential data and metrics. By identifying users, contributors, and maintainers, you can uncover influencers and recognize trends within your community. This tool also helps you grasp software development workflows, such as code review and issue management, thereby enhancing both efficiency and collaboration. Notably, Bitergia Analytics is completely free and is built on open-source software, leveraging existing tools like GrimoireLab, Elasticsearch, and Kibana. GrimoireLab remains firmly committed to being 100% free and open-source. Upholding the principles of community and collective growth, we foster an environment where collaboration thrives.

SaaS Boilerplate is the developer’s way out of the vicious circle of redeveloping dull and repetitive features. Never waste time on building features every SaaS includes. 5 SaaS' features in the 1 package. SaaS features' are ready to go: - Authorization (including OAuth and email verification), - Emails (templates and scheduling); - Payments (integration with Stripe services and its dashboard), - CMS integration with Contentful services, - Subscriptions. SaaS Boilerplate is developed by Apptension. Apptension is a digital product design and software development company established in Poland. Among its partners are Netflix, Viu, Less, Hoover Technology - Backend (Python, Django, Postgresql, Docker); - Frontend (React, Redux, Typescript, JSX); - Integrations (Contentful, Stripe, Sentry). SaaS Boilerplate by Apptension gives you a developer-friendly, AWS-based scalable infrastructure and pre-configured CI/CD. Check all features, infrastructure, CI/CD model, documentation, pricing, and case study. Have a questions, ask questions.

Gitleaks serves as a static application security testing (SAST) tool designed to identify and mitigate hardcoded secrets, such as passwords, API keys, and tokens, within Git repositories. This user-friendly, comprehensive tool allows for the detection of secrets that may be embedded in your code, whether they are recent or from the past. You can install Gitleaks through various methods including Homebrew, Docker, or Go, and it is also available in binary format for a wide range of operating systems on its releases page. Furthermore, Gitleaks can be easily set up as a pre-commit hook in your repository, ensuring that secrets are checked before code is finalized. This added layer of security helps maintain the integrity of your codebase while preventing potential leaks of sensitive information.

Kovair QuickSync serves as a comprehensive and budget-friendly data migration solution suitable for enterprises across various industries. This desktop application, which operates on Windows, is straightforward to install and user-friendly. Its requirement for minimal infrastructural support enhances its cost-effectiveness and operational efficiency within the sector. Beyond enabling data migration from a single source to a single target, it also supports the transfer of data from one source to multiple destinations. The intuitive interface makes it highly adaptable and appealing to users. Additionally, it features an integrated disaster recovery system and the ability to perform re-migrations, guaranteeing a complete data transfer with zero loss. The solution also supports migration based on templates, allowing configurations from one project to be easily repurposed for future projects. Furthermore, it offers real-time monitoring of migration progress, ensuring users receive up-to-date information on the status and health of the migration process. This combination of features not only boosts efficiency but also instills confidence in the data migration process.

Legacy network monitoring tools only report device status and don't detect end-user performance problems. NetBeez monitors your network from the user's perspective, so you can maximize performance and availability. The NetBeez dashboard allows you to view historical and current network performance information from remote locations, users and public clouds. To reduce troubleshooting time, you can rely on active and distributed network monitoring agents. NetBeez appliances, software endpoints, and Wi-Fi monitoring devices monitor end-user experiences on WAN/SDWAN, Wi-Fi and public clouds. NetBeez provides network engineers the data and intelligence they need to manage complex network infrastructures. Hardware and software monitoring agents are dedicated to testing on-prem networks and remote networks from the user's perspective. They also report KPIs for service quality. Endpoints for Windows and Mac OS users of WFH

We created Tenstorrent DevCloud to enable users to experiment with their models on our servers without the need to invest in our hardware. By developing Tenstorrent AI in the cloud, we allow developers to explore our AI offerings easily. The initial login is complimentary, after which users can connect with our dedicated team to better understand their specific requirements. Our team at Tenstorrent consists of highly skilled and enthusiastic individuals united in their goal to create the ultimate computing platform for AI and software 2.0. As a forward-thinking computing company, Tenstorrent is committed to meeting the increasing computational needs of software 2.0. Based in Toronto, Canada, Tenstorrent gathers specialists in computer architecture, foundational design, advanced systems, and neural network compilers. Our processors are specifically designed for efficient neural network training and inference while also capable of handling various types of parallel computations. These processors feature a network of cores referred to as Tensix cores, which enhance performance and scalability. With a focus on innovation and cutting-edge technology, Tenstorrent aims to set new standards in the computing landscape.

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.

runc is a command-line interface utility designed to create and manage containers in accordance with the OCI specification, but it is limited to Linux environments. For compilation, it requires Go version 1.17 or higher, and to activate seccomp features, libseccomp must be installed on your system. The tool offers optional build tags that allow for the inclusion of various functionalities, many of which are activated by default. Currently, runc allows its test suite to be executed through Docker, and simply typing `make test` initiates this process. Although there are additional make targets available for testing outside of a container, this practice is discouraged since the tests assume permission to read and write files freely. You can also specify individual test cases using the TESTFLAGS variable, or focus on a particular integration test with the TESTPATH variable; for rootless integration tests, the ROOTLESS_TESTPATH variable should be used. It’s important to remember that runc serves as a foundational tool rather than one intended for end-user interaction, making it more suitable for developers who need lower-level container management capabilities. Ultimately, understanding its purpose and use cases is essential for effective application.

Seneca serves as a toolkit for microservices within the Node.js ecosystem, designed to facilitate the creation of clean and organized code that can be easily scaled and deployed whenever necessary. This toolkit features plugins that manage the essential aspects of your application, allowing you to concentrate on developing the core business logic without the hassle of selecting databases, structuring components, or handling dependencies. You can dive straight into coding, as you express everything through commands that are triggered based on specific properties. The invoking code remains unaware of which command is performing the task, as it simply processes one JavaScript object input and produces another output in an asynchronous manner. If you need to enhance functionality, you can effortlessly add new microservices rather than altering existing ones, promoting a more scalable approach to adapting to evolving requirements without accruing technical debt. Additionally, execution scripts can be utilized to assemble your application in a cohesive manner, providing a structured way to manage its components effectively. This flexibility ensures that your development process remains efficient and straightforward.

OpenFaaS® simplifies the deployment of serverless functions and existing applications onto Kubernetes, allowing users to utilize Docker to prevent vendor lock-in. This platform is versatile, enabling operation on any public or private cloud while supporting the development of microservices and functions in a variety of programming languages, including legacy code and binaries. It offers automatic scaling in response to demand or can scale down to zero when not in use. Users have the flexibility to work on their laptops, utilize on-premises hardware, or set up a cloud cluster. With Kubernetes handling the complexities, you can create a scalable and fault-tolerant, event-driven serverless architecture for your software projects. OpenFaaS allows you to start experimenting within just 60 seconds and to write and deploy your initial Python function in approximately 10 to 15 minutes. Following that, the OpenFaaS workshop provides a comprehensive series of self-paced labs that equip you with essential skills and knowledge about functions and their applications. Additionally, the platform fosters an ecosystem that encourages sharing, reusing, and collaborating on functions, while also minimizing boilerplate code through a template store that simplifies coding. This collaborative environment not only enhances productivity but also enriches the overall development experience.

Oxeye is specifically created to identify weak points in the code of distributed cloud-native applications. By integrating advanced SAST, DAST, IAST, and SCA functionalities, we enable comprehensive risk assessment in both Development and Runtime environments. Tailored for developers and AppSec teams alike, Oxeye facilitates a shift-left approach to security, streamlining the development process, minimizing obstacles, and eradicating vulnerabilities. Our solution is known for providing dependable outcomes with exceptional accuracy. Oxeye thoroughly examines code vulnerabilities within microservices, offering a risk assessment that is contextualized and enhanced by data from infrastructure configurations. With Oxeye, developers can efficiently monitor and rectify vulnerabilities in their applications. We provide transparency in the vulnerability management process, including visibility into the steps needed to reproduce issues and pinpointing the specific lines of code affected. Furthermore, Oxeye seamlessly integrates as a Daemonset through a single deployment, requiring no modifications to existing code. This ensures that security remains unobtrusive while enhancing the safety of your cloud-native applications. Ultimately, our goal is to empower teams to prioritize security without compromising their development speed.

JHipster serves as a comprehensive development platform designed for the rapid creation, development, and deployment of contemporary web applications and microservice architectures. It accommodates a variety of frontend technologies, such as Angular, React, and Vue, and also extends support to mobile applications using Ionic and React Native. On the backend, JHipster offers compatibility with Spring Boot (utilizing either Java or Kotlin), Micronaut, Quarkus, Node.js, and .NET frameworks. When it comes to deployment, the platform adheres to cloud-native principles via Docker and Kubernetes, providing deployment options for various environments including AWS, Azure, Cloud Foundry, Google Cloud Platform, Heroku, and OpenShift. The primary objective is to produce a comprehensive and modern web application or microservice architecture equipped with a high-performance and resilient server-side stack, showcasing excellent test coverage. The user interface is designed to be sleek, modern, and mobile-first, utilizing Angular, React, or Vue along with Bootstrap for styling. Moreover, the platform incorporates a powerful workflow for application building through tools like Webpack and Maven or Gradle, ensuring a resilient microservice architecture that remains focused on cloud-native methodologies. This holistic approach ensures that developers have all the resources they need to create scalable and efficient applications.

Developers and businesses have the opportunity to create Quantum-resistant smart contracts, decentralized applications (DApps), DeFi solutions, NFTs, tokens, and Metaverse projects using the QAN blockchain platform in any programming language they prefer. QANplatform stands out as the first Hyperpolyglot Smart Contract platform, allowing developers to write in various programming languages while also earning rewards for producing high-quality, reusable code. The threat posed by quantum computing is significant, and current blockchain technologies are unable to provide adequate protection against it. In contrast, QAN has been designed from the ground up to be resilient to these threats, ensuring the safety of your future assets. Quantum-resistant algorithms, which are referred to as post-quantum, quantum-secure, or quantum-safe, are cryptographic methods specifically formulated to counteract potential attacks from quantum computers. Embracing these advanced algorithms is essential for securing digital assets in an evolving technological landscape.

With industry-leading security and support, deploy and scale backups for clients. You pay nothing extra for data usage, and we charge a flat monthly fee per device. The Magnus Box team has been HIPAA-certified and trained. All data is encrypted and no personal information is exposed. These are the reasons Magnus Box was built. We tried several backup solutions but they either limit the amount of data you can back up or are too difficult or clunky. Magnus Box fills those gaps by being simple to use and allowing unlimited storage. Magnus Box is only available to technology service providers, computer repair professionals, and MSPs around the world. Magnus Box will not be sold directly to the public. Why are we doing this? We do this because we are there with you, trying to provide services for our clients while our providers were directly competing. Our team has extensive experience in the MSP industry.

The hybrid edgeCloud platform allows various smart devices, ranging from smartphones to IoT gadgets, to function as cloud servers when necessary. The edgeEngine serves as a downloadable software that empowers these devices to operate as cloud servers under suitable conditions. This versatile engine is compatible with any smart device, regardless of its operating system or network, and integrates seamlessly with any cloud infrastructure. In contrast to traditional backend development, which often demands significant time and financial resources for server maintenance and scaling, mimik offers a serverless environment tailored for edge microservices, ensuring optimal performance and efficiency. By utilizing the edgeEngine, users can enhance any smart device with basic computing capabilities—such as smartphones, PCs, set-top boxes, residential and IoT gateways, game consoles, smart TVs, drones, robots, infotainment systems in cars, and industrial sensors—with server functionality. Furthermore, developers have the flexibility to either create and deploy custom edge microservices or take advantage of mimik’s pre-built, field-proven microservices to introduce innovative solutions or modernize existing applications. This capability not only streamlines the development process but also significantly reduces the barriers to implementing cutting-edge technology.

Visualize your microservices from your CDN to your databases, with external dependencies. Automately measure baselines and receive recommendations for SLIs or SLOs. Measure and understand the impact across microservices. Every change creates ripples in your connected system. Login API was affected by a security group's change? Last9 makes it easy for you to find the 'last change' that caused an incident. Last9 is a modern reliability platform. It leverages your existing observation tricks and allows you to build and enforce mental model on top of your data. This will help you cover infrastructure, service, product metrics with minimal effort. We love reliability and make it fun and embarrassingly simple to run systems at scale. Last9 uses the knowledge graph to automatically generate maps of all known infrastructure and service components.

The CLI tool integrates Git, Docker, Helm, and Kubernetes with any CI system to facilitate CI/CD and Giterminism. By leveraging established technologies, you can create efficient, reliable, and cohesive CI/CD pipelines. Werf simplifies the process of getting started, allowing users to implement best practices without the need to start from scratch. Not only does Werf build and deploy applications, but it also ensures that the current state of Kubernetes is continually synchronized with any changes made in Git. This tool pioneers Giterminism, using Git as a definitive source of truth and making the entire delivery process predictable and repeatable. With Werf, users have two deployment options: either converge the application from a Git commit into Kubernetes or publish the application from a Git commit to a container registry as a bundle before deploying it to Kubernetes. The setup for Werf is straightforward, requiring minimal configuration, making it accessible even to those without a background in DevOps or SRE. To assist users further, a variety of guides are available to help you deploy your application in Kubernetes quickly and effectively, enhancing the overall user experience.

Atlantis operates as a self-hosted solution, ensuring that your credentials remain within your own infrastructure. It functions as either a Golang binary or a Docker image and is compatible with deployment on various platforms such as VMs, Kubernetes, and Fargate. This tool listens for webhooks from popular version control systems including GitHub, GitLab, Bitbucket, and Azure DevOps. It executes Terraform commands remotely and provides feedback with their outputs. Employed by one of the leading companies globally, it effectively manages over 600 Terraform repositories and supports a team of 300 developers. Having been in production for more than two years, each pull request now features a comprehensive log detailing the infrastructure changes made, the contributors involved, and the approvals granted. Atlantis includes the option to mandate approvals for every production change, facilitating compliance with audits without disrupting your workflows. Developers can initiate Terraform pull requests without needing to expose their credentials, while operators can set requirements for approvals before permitting application changes. This ensures that all alterations are applied prior to merging into the master branch, enhancing both accountability and oversight in the development process. Additionally, the system's detailed change logs promote transparency and traceability, making it an invaluable tool for managing infrastructure as code.

Our platform uses a variety of security techniques, including feedback-based fuzz testing and coverage-guided fuzz testing, in order to generate millions upon millions of test cases that trigger difficult-to-find bugs deep in your application. This white-box approach helps to prevent edge cases and speed up development. Advanced fuzzing engines produce inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Only uncover true vulnerabilities. You will need the stack trace and input to prove that you can reproduce errors reliably every time. AI white-box testing is based on data from all previous tests and can continuously learn the inner workings of your application. This allows you to trigger security-critical bugs with increasing precision.

Meltano offers unparalleled flexibility in how you can deploy your data solutions. Take complete ownership of your data infrastructure from start to finish. With an extensive library of over 300 connectors that have been successfully operating in production for several years, you have a wealth of options at your fingertips. You can execute workflows in separate environments, perform comprehensive end-to-end tests, and maintain version control over all your components. The open-source nature of Meltano empowers you to create the ideal data setup tailored to your needs. By defining your entire project as code, you can work collaboratively with your team with confidence. The Meltano CLI streamlines the project creation process, enabling quick setup for data replication. Specifically optimized for managing transformations, Meltano is the ideal platform for running dbt. Your entire data stack is encapsulated within your project, simplifying the production deployment process. Furthermore, you can validate any changes made in the development phase before progressing to continuous integration, and subsequently to staging, prior to final deployment in production. This structured approach ensures a smooth transition through each stage of your data pipeline.