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Azure Pipelines
Azure Pipelines

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wercker
wercker

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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
  • Extensible

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.

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What is Azure Pipelines?

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.

What is wercker?

Wercker is a CI/CD developer automation platform designed for Microservices & Container Architecture.
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Why do developers choose Azure Pipelines?
Why do developers choose wercker?

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      Jobs that mention Azure Pipelines and wercker as a desired skillset
      What companies use Azure Pipelines?
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      What tools integrate with Azure Pipelines?
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      What are some alternatives to Azure Pipelines and wercker?
      Jenkins
      In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.
      AWS Data Pipeline
      AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.
      Travis CI
      Free for open source projects, our CI environment provides multiple runtimes (e.g. Node.js or PHP versions), data stores and so on. Because of this, hosting your project on travis-ci.com means you can effortlessly test your library or applications against multiple runtimes and data stores without even having all of them installed locally.
      AWS CodePipeline
      CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.
      Azure Data Factory
      It is a service designed to allow developers to integrate disparate data sources. It is a platform somewhat like SSIS in the cloud to manage the data you have both on-prem and in the cloud.
      See all alternatives
      Decisions about Azure Pipelines and wercker
      Oliver Burn
      Oliver Burn
      Architect at Atlassian · | 12 upvotes · 103.3K views
      atAtlassianAtlassian
      Azure Pipelines
      Azure Pipelines
      jFrog
      jFrog
      Octopus Deploy
      Octopus Deploy
      AWS CodePipeline
      AWS CodePipeline
      CircleCI
      CircleCI
      Bitbucket
      Bitbucket
      Jira
      Jira

      We recently added new APIs to Jira to associate information about Builds and Deployments to Jira issues.

      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

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      Reviews of Azure Pipelines and wercker
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      How developers use Azure Pipelines and wercker
      Avatar of James Bowman
      James Bowman uses werckerwercker

      Automatic generation and deployment of site

      Avatar of Ruben Timmerman
      Ruben Timmerman uses werckerwercker

      For automated testing and deployment

      How much does Azure Pipelines cost?
      How much does wercker cost?
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