LONDON, Nov. 15, 2016 /PRNewswire/ -- Wercker, the Docker-native developer automation platform, has today launched Virtual Private Pipelines (VPP), a paid SaaS offering aimed at helping application development teams move faster.
VPP helps businesses adopt a true cloud-native approach, and in doing so tackle software development inefficiencies, enabling them to move faster, be more competitive and save costs. VPP provides customers with a fully managed, SaaS-based CI/CD automation toolchain. It features multiple levels of scalable concurrency within dedicated network-isolated instances and professional support. Wayne Gibbins, Chief Commercial Officer at Wercker, said, "We're excited to launch VPP, wrapping up our previous product iterations and customer trials over the past two years into one solution, delivering the tooling and experience that modern developer teams sorely need. Wercker is the automation glue in the cloud-native movement, marked by the convergence of microservices, Docker and container orchestration." Developers using Wercker can deploy to all major cloud providers, and the platform is compatible with all container orchestration tools. In particular, Wercker is optimised for teams deploying to Kubernetes, Google's production-grade container orchestration tool, which is also used by Wercker. The Wercker platform consists of a SaaS interface as well as a Command Line Interface (CLI), which the company open-sourced in January 2016. Wercker also provides extensibility through its API and open marketplace, where users can create and share custom automation workflows. Wercker supports a microservice architecture with features like API contract testing with the ability to spin up multiple services within Docker containers for pre-deployment testing between services. Wercker is an ideal solution for cutting-edge development teams within companies of all sizes. It is targeted at teams looking for a modern, Docker-native automation toolchain which supports microservices and cloud-native orchestration such as Kubernetes.