runc Alternatives

Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure. We’ve intentionally designed Cloud Run to make developers more productive - you get to focus on writing your code, using your favorite language, and Cloud Run takes care of operating your service. Fully managed compute platform for deploying and scaling containerized applications quickly and securely. Write code your way using your favorite languages (Go, Python, Java, Ruby, Node.js, and more). Abstract away all infrastructure management for a simple developer experience. Build applications in your favorite language, with your favorite dependencies and tools, and deploy them in seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously—depending on traffic. Cloud Run only charges you for the exact resources you use. Cloud Run makes app development & deployment simpler.

Ambassador Edge Stack is a Kubernetes-native API Gateway that delivers the scalability, security, and simplicity for some of the world's largest Kubernetes installations. Edge Stack makes securing microservices easy with a comprehensive set of security functionality, including automatic TLS, authentication, rate limiting, WAF integration, and fine-grained access control. The API Gateway contains a modern Kubernetes ingress controller that supports a broad range of protocols including gRPC and gRPC-Web, supports TLS termination, and provides traffic management controls for resource availability. Why use Ambassador Edge Stack API Gateway? - Accelerate Scalability: Manage high traffic volumes and distribute incoming requests across multiple backend services, ensuring reliable application performance. - Enhanced Security: Protect your APIs from unauthorized access and malicious attacks with robust security features. - Improve Productivity & Developer Experience

Docker takes away repetitive, mundane configuration tasks and is used throughout the development lifecycle for fast, easy and portable application development, desktop and cloud. Docker’s comprehensive end-to-end platform includes UIs, CLIs, APIs and security that are engineered to work together across the entire application delivery lifecycle. Get a head start on your coding by leveraging Docker images to efficiently develop your own unique applications on Windows and Mac. Create your multi-container application using Docker Compose. Integrate with your favorite tools throughout your development pipeline, Docker works with all development tools you use including VS Code, CircleCI and GitHub. Package applications as portable container images to run in any environment consistently from on-premises Kubernetes to AWS ECS, Azure ACI, Google GKE and more. Leverage Docker Trusted Content, including Docker Official Images and images from Docker Verified Publishers.

The Kubernetes platform for big ideas. Empower developers to innovate and ship faster with the leading hybrid cloud, enterprise container platform. Red Hat OpenShift offers automated installation, upgrades, and lifecycle management throughout the container stack—the operating system, Kubernetes and cluster services, and applications—on any cloud. Red Hat OpenShift helps teams build with speed, agility, confidence, and choice. Code in production mode anywhere you choose to build. Get back to doing work that matters. Red Hat OpenShift is focused on security at every level of the container stack and throughout the application lifecycle. It includes long-term, enterprise support from one of the leading Kubernetes contributors and open source software companies. Support the most demanding workloads including AI/ML, Java, data analytics, databases, and more. Automate deployment and life-cycle management with our vast ecosystem of technology partners.

Mirantis Kubernetes Engine (formerly Docker Enterprise) provides simple, flexible, and scalable container orchestration and enterprise container management. Use Kubernetes, Swarm, or both, and experience the fastest time to production for modern applications across any environment. Enterprise container orchestration Avoid lock-in. Run Mirantis Kubernetes Engine on bare metal, or on private or public clouds—and on a range of popular Linux distributions. Reduce time-to-value. Hit the ground running with out-of-the-box dependencies including Calico for Kubernetes networking and NGINX for Ingress support. Leverage open source. Save money and maintain control by using a full stack of open source-based technologies that are production-proven, scalable, and extensible. Focus on apps—not infrastructure. Enable your IT team to focus on building business-differentiating applications when you couple Mirantis Kubernetes Engine with OpsCare Plus for a fully-managed K8s experience.

The Open Container Initiative is an open governance structure for the express purpose of creating open industry standards around container formats and runtimes. Established in June 2015 by Docker and other leaders in the container industry, the OCI currently contains two specifications, the runtime specification (runtime-spec) and the image specification (image-spec). The runtime specification outlines how to run a “filesystem bundle” that is unpacked on disk. At a high-level an OCI implementation would download an OCI Image then unpack that image into an OCI Runtime filesystem bundle. At this point the OCI Runtime Bundle would be run by an OCI Runtime. The Open Container Initiative (OCI) is a lightweight, open governance structure (project), formed under the auspices of the Linux Foundation, for the express purpose of creating open industry standards around container formats and runtime. The OCI was launched on June 22nd 2015 by Docker, CoreOS and other leaders.

What is Podman? Podman is a daemonless container engine for developing, managing, and running OCI Containers on your Linux System. Containers can either be run as root or in rootless mode. Simply put: alias docker=podman. Manage pods, containers, and container images. Supporting docker swarm. We believe that Kubernetes is the defacto standard for composing Pods and for orchestrating containers, making Kubernetes YAML a defacto standard file format. Hence, Podman allows the creation and execution of Pods from a Kubernetes YAML file (see podman-play-kube). Podman can also generate Kubernetes YAML based on a container or Pod (see podman-generate-kube), which allows for an easy transition from a local development environment to a production Kubernetes cluster.

Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments. Native support for launching containers with Docker and AppC images.Support for running cloud native and legacy applications in the same cluster with pluggable scheduling policies. HTTP APIs for developing new distributed applications, for operating the cluster, and for monitoring. Built-in Web UI for viewing cluster state and navigating container sandboxes.

LXC is a userspace interface for the Linux kernel containment features. Through a powerful API and simple tools, it lets Linux users easily create and manage system or application containers. LXC containers are often considered as something in the middle between a chroot and a full fledged virtual machine. The goal of LXC is to create an environment as close as possible to a standard Linux installation but without the need for a separate kernel. LXC is free software, most of the code is released under the terms of the GNU LGPLv2.1+ license, some Android compatibility bits are released under a standard 2-clause BSD license and some binaries and templates are released under the GNU GPLv2 license. LXC's stable release support relies on the Linux distributions and their own commitment to pushing stable fixes and security updates.

LXD is a next generation system container manager. It offers a user experience similar to virtual machines but using Linux containers instead. It's image based with pre-made images available for a wide number of Linux distributions and is built around a very powerful, yet pretty simple, REST API. To get a better idea of what LXD is and what it does, you can try it online! Then if you want to run it locally, take a look at our getting started guide. The LXD project was founded and is currently led by Canonical Ltd with contributions from a range of other companies and individual contributors. The core of LXD is a privileged daemon which exposes a REST API over a local unix socket as well as over the network (if enabled). Clients, such as the command line tool provided with LXD itself then do everything through that REST API. It means that whether you're talking to your local host or a remote server, everything works the same way.

KubeSphere is a distributed operating system for cloud-native application management, using Kubernetes as its kernel. It provides a plug-and-play architecture, allowing third-party applications to be seamlessly integrated into its ecosystem. KubeSphere is also a multi-tenant enterprise-grade open-source Kubernetes container platform with full-stack automated IT operations and streamlined DevOps workflows. It provides developer-friendly wizard web UI, helping enterprises to build out a more robust and feature-rich Kubernetes platform, which includes the most common functionalities needed for enterprise Kubernetes strategies. A CNCF-certified Kubernetes platform, 100% open-source, built and improved by the community. Can be deployed on an existing Kubernetes cluster or Linux machines, supports the online and air-gapped installation. Deliver DevOps, service mesh, observability, application management, multi-tenancy, storage, and networking management in a unified platform.

An engine purpose-built for embedded and IoT use cases, based on Moby Project technology from Docker. 3.5x smaller than Docker CE, packaged as a single binary. Available for a wide variety of chipset architectures, supporting everything from tiny IoT devices to large industrial gateways. Bandwidth-efficient updates with binary diffs, 10-70x smaller than pulling layers in common scenarios. Extract layers as they arrive to prevent excessive writing to disk, protecting your storage from eventual corruption. Atomic and durable image pulls defend against partial container pulls in the event of power failure. Prevents page cache thrashing during image pull, so your application runs undisturbed in low-memory situations. balenaEngine is a new container engine purpose-built for embedded and IoT use cases and compatible with Docker containers. Based on Moby Project technology from Docker, balenaEngine supports container deltas for 10-70x more efficient bandwidth usage.

Open source container-based virtualization for Linux. Multiple secure, isolated Linux containers (otherwise known as VEs or VPSs) on a single physical server enabling better server utilization and ensuring that applications do not conflict. Each container performs and executes exactly like a stand-alone server; a container can be rebooted independently and have root access, users, IP addresses, memory, processes, files, applications, system libraries and configuration files.

rkt is an application container engine developed for modern production cloud-native environments. It features a pod-native approach, a pluggable execution environment, and a well-defined surface area that makes it ideal for integration with other systems. The core execution unit of rkt is the pod, a collection of one or more applications executing in a shared context (rkt's pods are synonymous with the concept in the Kubernetes orchestration system). rkt allows users to apply different configurations (like isolation parameters) at both pod-level and at the more granular per-application level. rkt's architecture means that each pod executes directly in the classic Unix process model (i.e. there is no central daemon), in a self-contained, isolated environment. rkt implements a modern, open, standard container format, the App Container (appc) spec, but can also execute other container images, like those created with Docker.

Cloud Foundry makes it faster and easier to build, test, deploy and scale applications, providing a choice of clouds, developer frameworks, and application services. It is an open source project and is available through a variety of private cloud distributions and public cloud instances. Cloud Foundry has a container-based architecture that runs apps in any programming language. Deploy apps to CF using your existing tools and with zero modification to the code. Instantiate, deploy, and manage high-availability Kubernetes clusters with CF BOSH on any cloud. By decoupling applications from infrastructure, you can make individual decisions about where to host workloads – on premise, in public clouds, or in managed infrastructures – and move those workloads as necessary in minutes, with no changes to the app.

Container Engine for Kubernetes (OKE) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute shapes. DevOps engineers can use unmodified, open source Kubernetes for application workload portability and to simplify operations with automatic updates and patching. Deploy Kubernetes clusters including the underlying virtual cloud networks, internet gateways, and NAT gateways with a single click. Automate Kubernetes operations with web-based REST API and CLI for all actions including Kubernetes cluster creation, scaling, and operations. Oracle Container Engine for Kubernetes does not charge for cluster management. Easily and quickly upgrade container clusters, with zero downtime, to keep them up to date with the latest stable version of Kubernetes.

Oracle Cloud Infrastructure provides fast, flexible, and affordable compute capacity to fit any workload need from performant bare metal servers and VMs to lightweight containers. OCI Compute provides uniquely flexible VM and bare metal instances for optimal price-performance. Select exactly the number of cores and the memory your applications need. Delivering high performance for enterprise workloads. Simplify application development with serverless computing. Your choice of technologies includes Kubernetes and containers. NVIDIA GPUs for machine learning, scientific visualization, and other graphics processing. Capabilities such as RDMA, high-performance storage, and network traffic isolation. Oracle Cloud Infrastructure consistently delivers better price performance than other cloud providers. Virtual machine-based (VM) shapes offer customizable core and memory combinations. Customers can optimize costs by choosing a specific number of cores.

Salad allows gamers to mine crypto in their downtime. Turn your GPU power into credits that you can spend on things you love. Our Store features subscriptions, games, gift cards, and more. Download our free mining app and run while you're AFK to earn Salad Balance. Support a democratized web through providing decentralized infrastructure for distributing compute power. o cut down on the buzzwords—your PC does a lot more than just make you money. At Salad, our chefs will help support not only blockchain, but other distributed projects and workloads like machine learning and data processing. Take surveys, answer quizzes, and test apps through AdGate, AdGem, and OfferToro. Once you have enough balance, you can redeem items from the Salad Storefront. Your Salad Balance can be used to buy items like Discord Nitro, Prepaid VISA Cards, Amazon Credit, or Game Codes.

Low-ops, minimal production Kubernetes, for devs, cloud, clusters, workstations, Edge and IoT. MicroK8s automatically chooses the best nodes for the Kubernetes datastore. When you lose a cluster database node, another node is promoted. No admin needed for your bulletproof edge. MicroK8s is small, with sensible defaults that ‘just work’. A quick install, easy upgrades and great security make it perfect for micro clouds and edge computing. Full enterprise support available, with no subscription needed. Optional 24/7 support with 10 year security maintenance. Under the cell tower. On the racecar. On satellites or everyday appliances, MicroK8s delivers the full Kubernetes experience on IoT and micro clouds. Fully containerized deployment with compressed over-the-air updates for ultra-reliable operations. MicroK8s will apply security updates automatically by default, defer them if you want. Upgrade to a newer version of Kubernetes with a single command. It’s really that easy.

WebSphere Hybrid Edition is a flexible, all-in-one solution for WebSphere application server deployments that can enable organizations to meet current and future requirements. It will enable you to optimize your existing WebSphere entitlements, modernize your applications, and build new cloud-native Java EE applications. An all-in-one solution to help you run, modernize and create new Java applications. Use IBM Cloud® Transformation Advisor and IBM Mono2Micro to help assess the cloud readiness of your applications, explore options for containerization and microservices, and get assistance in adapting code. Explore and unlock the benefits of the all-in-one IBM WebSphere Hybrid Edition solution for your application run time and modernization features. Identify which WebSphere applications can easily move to containers for immediate savings. Manage costs, enhancements, and security proactively throughout the application lifecycle.

We’ve been designing the OS for for more than two decades, always ensuring that we’ve engineered in features to meet the latest market trends while maintaining backward compatibility. Our Application Binary Guarantee gives you the ability to run your newest and legacy applications on modern infrastructure. Integrated lifecycle management technologies allow you to issue a single command to update your entire cloud installation—clear down to the firmware and including all virtualized environments. One large financial services company saw a 16x efficiency gain by managing its virtual machines (VMs) using Oracle Solaris, compared to a third-party open-source platform. New additions to the Oracle Solaris Observability tools allow you to troubleshoot system and application problems in real time, giving you real-time and historical insight and allowing for unprecedented power to diagnose and resolve issues quickly and easily.

Sandboxie is a sandbox-based isolation software for 32- and 64-bit Windows NT-based operating systems. It is being developed by David Xanatos since it became open source, before that it was developed by Sophos (which acquired it from Invincea, which acquired it earlier from the original author Ronen Tzur). It creates a sandbox-like isolated operating environment in which applications can be run or installed without permanently modifying the local or mapped drive. An isolated virtual environment allows controlled testing of untrusted programs and web surfing. Since the Open Sourcing sandboxie is being released in two flavors the classical build with a MFC based UI and as plus build that incorporates new features and an entirely new Q’t based UI. All newly added features target the plus branch but often can be utilized in the classical edition by manually editing the sandboxie.ini file.

Turbo lets you publish and manage all of your enterprise applications from a single point to every platform and device. Book a demo with our team to see Turbo in action. Deploy custom containerized applications on desktops, on-premises servers, and public and private clouds. The student digital workspace brings applications to every campus and personal device. Deliver applications everywhere from a single, configurable container environment. Freely migrate between devices and platforms with rich APIs and connectors. Deploy to managed and BYOD PCs with no installs. Stream to HTML5, Mac, and mobile with Turbo Application Server. Publish to existing Citrix and VMware VDI environments. Dynamically image applications onto non-persistent WVD instances. Bring course applications directly inside Canvas, Blackboard, and other major LMS systems. Authoring environment for creating your own containerized applications and components.

One-click migration from your existing VM workloads. Get instant mobility of your applications across on-prem and clouds. Why settle for one-way cloud migration when you can have continuous mobility. Migrate from on-prem to the cloud, across clouds, or back. Embrace the cloud your way. Business continuity needs application mobility and a multi-cloud approach. Leave behind long drawn out and expensive VM migration projects. Instashift gives you single-click automation. No need to adopt complex approaches. Migrate your VMs complete with applications, databases, and states. Benefit from continuous mobility for your instashifted applications. Move to the cloud or back to on-prem in a click. Need to move thousands of VMs. Instashift gives you an automated solution that works seamlessly. A new innovation platform for sovereign and emerging cloud providers to deliver the same capabilities and flexibility users have come to expect from the public cloud.

Since system administration is a difficult task, many tools have been developed to make life easier for the administrator. These tools often enhance the way systems are installed, configured, and maintained. One of the tools which can be used to enhance the security of a FreeBSD system is jails. Jails have been available since FreeBSD 4.X and continue to be enhanced in their usefulness, performance, reliability, and security. Jails build upon the chroot(2) concept, which is used to change the root directory of a set of processes. This creates a safe environment, separate from the rest of the system. Jails improve on the concept of the traditional chroot environment in several ways. In a traditional chroot environment, processes are only limited in the part of the file system they can access. The rest of the system resources, system users, running processes, and the networking subsystem are shared by the chrooted processes and the processes of the host system.

Accelerate your development by using a storage layer that works natively with your Kubernetes environment. Focus on running your application, while we make sure you have the persistent volumes that give you the scale and stability you need. Reduce complexity and increase efficiency in your app modernization journey by truly integrating stateful storage into Kubernetes. Run your database or any persistent workload in a Kubernetes environment without having to worry about managing the storage layer. Ondat gives you the ability to deliver a consistent storage layer across any platform. We give you the persistent volumes to allow you to run your own databases without paying for expensive hosted options. Take back control of your data layer in Kubernetes. Kubernetes-native storage with dynamic provisioning that works as it should. Fully API-driven, tight integration with your containerized applications.

With JupyterHub you can create a multi-user Hub which spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server. Project Jupyter created JupyterHub to support many users. The Hub can offer notebook servers to a class of students, a corporate data science workgroup, a scientific research project, or a high performance computing group. JupyterHub officially does not support Windows. You may be able to use JupyterHub on Windows if you use a Spawner and Authenticator that work on Windows, but the JupyterHub defaults will not. Bugs reported on Windows will not be accepted, and the test suite will not run on Windows. Small patches that fix minor Windows compatibility issues (such as basic installation) may be accepted, however. For Windows-based systems, we would recommend running JupyterHub in a docker container or Linux VM.

Coco® is a multi-language code coverage tool. Automatic source code instrumentation is used to measure test coverage of statements, branches and conditions. Executing a test suite against an instrumented application produces data that can later be analyzed. This analysis can be used to understand how much of the source code has been hit by tests, which additional tests need to be written, how the test coverage changed over time and more. Identify redundant tests, untested or dead code. Identify the impact of a patch on the code and code coverage & your testing. Coco supports statement coverage, branch coverage, MC/DC and other levels. Linux, Windows, RTOS and others. Using GCC, Visual Studio, embedded compilers and more. Choice of different report formats (text, HTML, XML, JUnit, Cobertura). Coco can also be integrated with various build, test and CI frameworks like JUnit, Jenkins and SonarQube.

Cantata is a unit and integration testing tool, enabling developers to verify standard compliant or business critical code on host native and embedded target platforms. Cantata helps accelerate compliance with the standard’s dynamic testing requirements by automating test framework generation, test execution. results diagnostics and report generation. Cantata is integrated with an extensive set of embedded development toolchains, from compilers and static analysis tools to build and requirements management tools. The ECLIPSE® GUI, tight tool integrations and tests written in the source C/C++ code, all make Cantata easy to use. Cantata has been independently certified by SGS-TÜV SAAR GmbH for the main software safety standards. Standard specific Cantata tool certification kits are provided free of charge and contain everything needed out-of-the-box as well as comprehensive guidance to help you achieve certification for your device software.

Aqua is the first IDE created specifically for test automation. It‘s an all-in-one workspace that supports Selenium, Cypress, and Playwright. Aqua is a polyglot IDE that understands Java, Python, JavaScript, TypeScript, Kotlin, and SQL. Get straight to testing without having to install and configure lots of plugins. Aqua boasts a unique feature set containing everything a test automation engineer needs on a daily basis. Aqua’s Web Inspector works like a built-in browser and allows you to capture any page element without switching to another tool. There is also the HTTP client for API testing and integration with databases, Docker, and version control. Aqua minimizes the hassle for even the most challenging tasks. The combination of intelligent code analysis, powerful search and refactoring capabilities, and overall ease of use enables you to boost your quality engineering productivity.

TestEngine is an optimized test execution engine for automating SoapUI and ReadyAPI tests at a tremendous scale. With flexible deployment options, TestEngine can be installed in any cloud or on-premise environment using Docker, VMs, Mac, Linux, or Windows, supporting centralized execution models or distributed options. Accelerate your delivery pipelines by executing tests concurrently with TestEngine. Run large test suites alongside shorter ad-hoc test cases with minimal infrastructure maintenance. TestEngine queues requests to execute tests as they arrive, staging projects being submitted during peak times. Results are returned to distributed clients as demand fluctuates, while also being stored for consumption later. Testing is an integral part of shipping and maintaining high-quality, stable applications and services. TestEngine allows teams to accelerate test executions while avoiding complex environments.

Pexpect makes Python a better tool for controlling other applications. Pexpect is a pure Python module for spawning child applications; controlling them, and responding to expected patterns in their output. Pexpect works like Don Libes’ Expect. Pexpect allows your script to spawn a child application and control it as if a human were typing commands. Pexpect can be used for automating interactive applications such as ssh, FTP, passwd, telnet, etc. It can be used to automate setup scripts for duplicating software package installations on different servers. It can be used for automated software testing. Pexpect is in the spirit of Don Libes’ Expect, but Pexpect is pure Python. Unlike other Expect-like modules for Python, Pexpect does not require TCL or Expect nor does it require C extensions to be compiled. It should work on any platform that supports the standard Python pty module. The Pexpect interface was designed to be easy to use.

TESSY automates the whole unit test cycle including regression testing for your embedded software in C/C++ on different target systems. As an easy-to-install and easy-to-operate testing tool TESSY guides you through the unit test workflow from the project setup through the test design and execution to the result analysis and reporting. TESSY takes additional care of the complete test organization as well as the test management, including requirements, coverage measurement, and traceability. The TESSY test project management feature provides the possibility to define an individual test project structure based on collections and folders, to define environment variables, and to configure your desired compiler/debugger with the help of the integrated Test Environment Editor. The coverage results are displayed directly within the project structure and the test results are stored within test runs which allows for keeping former (successful) results for reporting.

Create and run unit tests, performance tests, and UI tests for your Xcode project. Use the XCTest framework to write unit tests for your Xcode projects that integrate seamlessly with Xcode's testing workflow. Tests assert that certain conditions are satisfied during code execution, and record test failures (with optional messages) if those conditions aren’t satisfied. Tests can also measure the performance of blocks of code to check for performance regressions and can interact with an application's UI to validate user interaction flows. A test method is a small, self-contained method that tests a specific part of your code. A test case is a group of related test methods. Add test cases and test methods to a test target to confirm that your code performs as expected. The primary class for defining test cases, test methods, and performance tests. An abstract base class for creating, managing, and executing tests.

Automate Security testing in CI/CD. Identify vulnerabilities in apps and APIs with dynamic security testing as fast as your DevOps runs. Automated continuous security enables high-velocity CI/CD. Integrated testing for every code build. Security is guardrails. Unified CI workflows for DevSecOps. Developer friendly. FAST automatically transforms existing functional tests into security tests in CI/CD. A FAST proxy (Docker container) is used to capture requests as baselines. It then creates and runs a multitude of security checks for every build. Use OWASP Top 10 defaults or specify your own testing policies, like types of parameters to test, payloads, or fuzzer settings. Report vulnerabilities and anomalies to the CI pipeline and ticketing system.

TestNG is a testing framework inspired from JUnit and NUnit but introducing some new functionalities that make it more powerful and easier to use, such as annotations, or the possibility to run your tests in arbitrarily big thread pools with various policies available (all methods in their own thread, one thread per test class, etc.). You can test that your code is multithread safe, there is flexible test configuration, support for data-driven testing (with @DataProvider), support for parameters, powerful execution model (no more TestSuite). There is a supported by a variety of tools and plug-ins (Eclipse, IDEA, Maven, etc.), it also embeds BeanShell for further flexibility, and there is default JDK functions for runtime and logging (no dependencies), and dependent methods for application server testing. TestNG is designed to cover all categories of tests, unit, functional, end-to-end, integration, etc.

It works with .NET Framework on Windows and .NET Core on all supported platforms. Coverlet supports coverage for deterministic builds. The solution at the moment is not optimal and need a workaround. If you want to visualize coverlet output inside Visual Studio while you code, you can use the following addins depending on your platform. Coverlet also integrates with the build system to run code coverage after tests. Enabling code coverage is as simple as setting the CollectCoverage property to true. The coverlet tool is invoked by specifying the path to the assembly that contains the unit tests. You also need to specify the test runner and the arguments to pass to the test runner using the --target and --targetargs options respectively. The invocation of the test runner with the supplied arguments must not involve a recompilation of the unit test assembly or no coverage result will be generated.

JavaScript test coverage made simple. Istanbul instruments your ES5 and ES2015+ JavaScript code with line counters, so that you can track how well your unit-tests exercise your codebase. The nyc command-line-client for Istanbul works well with most JavaScript testing frameworks, tap, mocha, AVA, etc. First-class support of ES6/ES2015+ using babel-plugin-Istanbul. Support for the most popular JavaScript testing frameworks. Support for instrumenting subprocesses, using the nyc command-line interface. Adding coverage to your mocha tests could not be easier. Now, simply place the command nyc in front of your existing test command. nyc's instrument command can be used to instrument source files outside of the context of your unit tests. nyc is able to show you all Node processes that are spawned when running a test script under it. By default, nyc uses Istanbul's text reporter. However, you may specify an alternative reporter.

A self-contained CodeCoverage compatible driver for PHP. When PCOV is left unset, PCOV will attempt to find src, lib or, app in the current working directory, in that order; If none are found the current directory will be used, which may waste resources storing coverage information for the test suite. If PCOV contains test code, it's recommended to set the exclude command to avoid wasting resources. To avoid unnecessary allocation of additional arenas for traces and control flow graphs, PCOV should be set according to the memory required by the test suite. To avoid reallocation of tables, PCOV should be set to a number higher than the number of files that will be loaded during testing, inclusive of test files. interoperability with Xdebug is not possible. At an internal level, the executor function is overridden by PCOV, so any extension or SAPI which does the same will be broken. PCOV is zero cost, code runs at full speed.

AgileTest is a comprehensive, full-featured test management for Jira, it supports all possible testing management strategies and more. - Write test scripts and checklists with a robust editor. Immediately execute and record the outcomes. - Enhance your development lifecycle with exploratory testing, test session management and note taking capabilities - General Jira Test management: Full-featured traditional test management strategy with Test Case, Test PreCondition, Test Suite, Test Steps, Test Plan, Test Run and comprehensive reports. - Sprint Test (coming soon): designed for testing the work of a Scrum team sprint-by-sprint. - Automation (coming soon): Open APIs and features to support automated Test, BDD, integration with CI/CD pipelines, DevOps tools and other related elements to maximize efficiency and performance.

Data-driven computational pipelines. Nextflow enables scalable and reproducible scientific workflows using software containers. It allows the adaptation of pipelines written in the most common scripting languages. Its fluent DSL simplifies the implementation and deployment of complex parallel and reactive workflows on clouds and clusters. Nextflow is built around the idea that Linux is the lingua franca of data science. Nextflow allows you to write a computational pipeline by making it simpler to put together many different tasks. You may reuse your existing scripts and tools and you don't need to learn a new language or API to start using it. Nextflow supports Docker and Singularity containers technology. This, along with the integration of the GitHub code-sharing platform, allows you to write self-contained pipelines, manage versions, and rapidly reproduce any former configuration. Nextflow provides an abstraction layer between your pipeline's logic and the execution layer.

TestBench offers an advanced software solution to plan, design, manage, execute, and analyze product tests more efficiently. The tool was designed specifically for software development teams and their test managers, testers, developers, product owners, and stakeholders. Systematic software testing is a demanding and complex task that is time-consuming and resource-intensive but at the same time of crucial importance for the quality of the overall product. This is precisely where TestBench comes in, providing professional tool support to make this process simpler, faster, and of higher quality. TestBench provides support in all phases of the test process – from planning, through design and automation of the tests, to complete logging of the test results.

A deployment tool for Docker. Takes containers from a Docker registry and runs them on a fleet of hosts with the correct environment variables, host volume mappings, and port mappings. Supports rolling deployments out of the box, and makes it easy to ship applications to Docker servers. We're using it in our production infrastructure. Centurion works in a two part deployment process where the build process ships a container to the registry, and Centurion ships containers from the registry to the Docker fleet. Registry support is handled by the Docker command line tools directly so you can use anything they currently support via the normal registry mechanism. If you haven't been using a registry, you should read up on how to do that before trying to deploy anything with Centurion. This code is developed in the open with input from the community through issues and PRs. There is an active maintainer team within New Relic.

Embunit is a unit testing tool for programmers and testers developing software in C or C++. It is aimed at embedded software development, but can be used to create unit tests for any software written in C or C++. Embunit eliminates the mundane, repetitive aspects of writing unit tests, leaving you free to concentrate on defining the test behaviour. This is achieved by specifying a sequence of actions as shown in the example screenshot below. Embunit generates the unit test source code automatically. Embunit has been developed with flexibility in mind, and can be customised to create unit tests for virtually any hardware platform; even the smallest microcontrollers. It is not tied to any specific toolset and is designed to accommodate the common limitations of embedded C++ compilers.

Easily deploy any number of ESB instances on the Integration Platform with just a few mouse clicks. Monitor and debug individual instances as well as entire clusters via a single dashboard. ESB instances are spawned in lightweight Docker containers, which provides better resource utilization and responsiveness than virtual machines. The platform detects and re-spawns failed instances within a matter of seconds, using the powerful Kubernetes framework. Adjust computing power of the platform by adding or removing physical or virtual machines, with zero impact on existing components. Easily manage ESB clusters, projects, configurations and user permissions, monitor statistics and debug ESB instances via the IPS dashboard. Plug in project-specific dashboards and seamlessly manage and monitor the platform as well as individual projects via a single, unified dashboard.

Bash is a free software Unix shell and command language. It has become the default login shell for most Linux distributions. In addition to being available on Linux systems, a version of Bash is also available for Windows through the Windows Subsystem for Linux. Bash is the default user shell in Solaris 11 and was the default shell in Apple macOS from version 10.3 until the release of macOS Catalina, which changed the default shell to zsh. Despite this change, Bash remains available as an alternative shell on macOS systems. As a command processor, Bash allows users to enter commands in a text window that are then executed by the system. Bash can also read and execute commands from a file, known as a shell script. It supports a number of features commonly found in Unix shells, including wildcard matching, piping, here documents, command substitution, variables, and control structures for condition testing and iteration. Bash is compliant with the POSIX shell standards.

Etheno is an Ethereum-testing, JSON RPC multiplexer, analysis tool wrapper, and test integration tool. It eliminates the complexity of setting up analysis tools like Echidna on large, multi-contract projects. If you are a smart contract developer, you should use Etheno to test your contracts. If you are an Ethereum client developer, you should use Etheno to perform differential testing on your implementation. Etheno runs a JSON RPC server that can multiplex calls to one or more clients. API for filtering and modifying JSON RPC calls. Enables differential testing by sending JSON RPC sequences to multiple Ethereum clients. Deploy to and interact with multiple networks at the same time. Integration with test frameworks like Ganache and Truffle. Run a local test network with a single command. Use our prebuilt Docker container to quickly install and try Etheno. Etheno can be used in many different ways and therefore, has numerous command-line argument combinations.

PHPUnit requires the dom and json extensions, which are normally enabled by default. PHPUnit also requires the pcre, reflection, and spl extensions. These standard extensions are enabled by default and cannot be disabled without patching PHP’s build system and/or C sources. The code coverage report feature requires the Xdebug (2.7.0 or later) and tokenizer extensions. Generating XML reports requires the xmlwriter extension. Unit Tests are primarily written as a good practice to help developers identify and fix bugs, to refactor code and to serve as documentation for a unit of software under test. To achieve these benefits, unit tests ideally should cover all the possible paths in a program. One unit test usually covers one specific path in one function or method. However a test method is not necessarily an encapsulated, independent entity. Often there are implicit dependencies between test methods, hidden in the implementation scenario of a test.

Visual COBOL provides COBOL development and integration tools, in your choice of Visual Studio, Visual Studio Code or Eclipse, that offer programmers an unrivaled development experience. Use Visual COBOL to help your software delivery teams transform core business systems written in COBOL using the latest technologies including .NET, JVM, Containers and Cloud. Introducing the next chapter of COBOL Innovation, Visual COBOL 7.0. This latest release delivers new and exciting development capabilities designed for Micro Focus COBOL applications. Take full advantage of the new, open and popular toolset, Visual Studio Code for COBOL development. Visual COBOL 7.0 also delivers a continued Micro Focus commitment to COBOL deployment across a wide array of platforms including new Linux distributions, .NET core, Docker containers, Azure Cloud and AWS. Compile COBOL applications to Java byte code for deployment within the Java Virtual Machine.

Nightwatch.js is an integrated, easy to use End-to-End testing solution for web applications and websites, written in Node.js. It uses the W3C WebDriver API to drive browsers and perform commands and assertions on DOM elements. Simple but powerful syntax which enables you to write tests very quickly, using Javascript (Node.js) and CSS or Xpath selectors. Typescript is supported as well. Built-in command-line test runner which runs the tests either sequentially or in parallel, with retries and implicit waits. Also supports grouping of test suites and tags. Manages automatically Selenium or WebDriver services (ChromeDriver, GeckoDriver, Edge, Safari) in a separate child process. Fluent and easy to work with Page Object Model support to better organise elements and sections, with support for both CSS or Xpath selectors.