Azure Pipelines vs wercker: What are the differences?
Azure Pipelines: Continuously build, test, and deploy to any platform and cloud. Fast builds with parallel jobs and test execution. Use container jobs to create consistent and reliable builds with the exact tools you need. Create new containers with ease and push them to any registry; wercker: Build, test, and deploy container-native applications. Wercker is a CI/CD developer automation platform designed for Microservices & Container Architecture.
Azure Pipelines and wercker can be primarily classified as "Continuous Integration" tools.
Some of the features offered by Azure Pipelines are:
- Any language, any platform
- Containers and Kubernetes
On the other hand, wercker provides the following key features:
- Pipelines - Wercker's Pipelines enable developers to fully automate builds, tests and deployments with Docker as a first class citizen.
- Workflows - With Workflows: a collection of pipelines can be chained and triggered to achieve complex automation goals.
- Steps Store - A step is a self contained best practice for accomplishing a specific automation task. Build your own or help yourself to our community based store.
According to the StackShare community, wercker has a broader approval, being mentioned in 40 company stacks & 23 developers stacks; compared to Azure Pipelines, which is listed in 7 company stacks and 8 developer stacks.
What is Azure Pipelines?
What is wercker?
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The new APIs were developed using a spec-first API approach for speed and sanity. The details of this approach are described in this blog post, and we relied on using Swagger and associated tools like Swagger UI.
A new service was created for managing the data. It provides a REST API for external use, and an internal API based on GraphQL. The service is built using Kotlin for increased developer productivity and happiness, and the Spring-Boot framework. PostgreSQL was chosen for the persistence layer, as we have non-trivial requirements that cannot be easily implemented on top of a key-value store.
The front-end has been built using React and querying the back-end service using an internal GraphQL API. We have plans of providing a public GraphQL API in the future.
New Jira Integrations: Bitbucket CircleCI AWS CodePipeline Octopus Deploy jFrog Azure Pipelines