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  1. Stackups
  2. DevOps
  3. Build Automation
  4. IDE Tools
  5. Azure DevOps vs Google Cloud Code

Azure DevOps vs Google Cloud Code

OverviewComparisonAlternatives

Overview

Azure DevOps
Azure DevOps
Stacks2.7K
Followers2.9K
Votes249
Google Cloud Code
Google Cloud Code
Stacks4
Followers69
Votes0

Azure DevOps vs Google Cloud Code: What are the differences?

Azure DevOps is a comprehensive set of development tools provided by Microsoft Azure, offering services for planning, developing, testing, and deploying applications, while Google Cloud Code is a set of tools and extensions designed to streamline development workflows on Google Cloud Platform using popular IDEs like Visual Studio Code and IntelliJ IDEA. Let's explore the key differences between them.

  1. Integration with Cloud Platforms: Azure DevOps is tightly integrated with Microsoft's Azure cloud platform, providing seamless access to a wide range of cloud services and resources. On the other hand, Google Cloud Code is designed specifically for Google Cloud Platform (GCP), offering deep integration with GCP services such as Cloud Functions, App Engine, and Kubernetes Engine.

  2. Toolchain support: Azure DevOps provides a comprehensive set of tools, including version control, continuous integration and deployment, project management, and testing. It supports a wide range of programming languages and platforms, making it suitable for diverse development scenarios. In contrast, Google Cloud Code focuses primarily on Kubernetes-native development, providing tools and frameworks specifically tailored for building containerized applications for deployment on GCP.

  3. Development Environment: Azure DevOps offers a developer-friendly environment that includes a web-based interface, a command-line interface (CLI), and extensions for popular development environments like Visual Studio and Visual Studio Code. It also supports cross-platform development, enabling developers to work on Windows, macOS, and Linux. Google Cloud Code, on the other hand, provides seamless integration with popular integrated development environments (IDEs) like JetBrians' IntelliJ IDEA and Google's own Cloud Shell Editor.

  4. CI/CD Pipelines: Azure DevOps provides a powerful and flexible CI/CD pipeline tool called Azure Pipelines. It offers a range of features such as build and release automation, continuous integration, and automated testing. Google Cloud Code, on the other hand, offers similar capabilities through its integration with popular CI/CD platforms like Jenkins and Tekton. It also provides a set of Kubernetes-specific pipeline templates for building and deploying containerized applications on GCP.

  5. Monitoring and Logging: Azure DevOps offers built-in monitoring and logging capabilities through Azure Monitor and Azure Log Analytics. These services enable developers to collect and analyze real-time data from their applications and infrastructure. In contrast, Google Cloud Code integrates with Google Cloud Monitoring and Google Cloud Logging, which provide similar functionalities for monitoring and logging containerized applications running on GCP.

  6. Pricing and Cost: Azure DevOps offers a range of pricing options, including a free tier for small teams and individuals, as well as paid plans for larger organizations with more advanced needs. The pricing is based on usage and the number of users. On the other hand, Google Cloud Code's pricing is tied to the usage of Google Cloud Platform services. The cost is determined by factors such as the number of API calls, storage usage, and compute resources consumed by the applications.

In summary, Azure DevOps provides a wide range of integrated services for end-to-end application lifecycle management, including version control, continuous integration/continuous deployment (CI/CD), and project management, whereas Google Cloud Code focuses on enhancing development productivity and collaboration specifically within the Google Cloud environment, offering features like Kubernetes application development, debugging, and deployment directly from the IDE.

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Detailed Comparison

Azure DevOps
Azure DevOps
Google Cloud Code
Google Cloud Code

Azure DevOps provides unlimited private Git hosting, cloud build for continuous integration, agile planning, and release management for continuous delivery to the cloud and on-premises. Includes broad IDE support.

Tools to help you write, deploy, and debug cloud-native applications quickly and easily. Extensions to IDEs such as Visual Studio Code and IntelliJ are provided to let you rapidly iterate, debug, and deploy code to Kubernetes.

Agile Tools: kanban boards, backlogs, scrum boards; Reporting: dashboards, widgets, Power BI; Git: free private repositories, pull requests; Continuous Integration: automated builds and diagnostics; Cloud build agents: cross-platform agents for Windows, Mac and Linux; Testing Tools: unit testing, load testing, manual, exploratory and user acceptance testing; Release Management: automate deployments, gated approval workflows, audit trails; Marketplace: extensions for the Visual Studio family of products; Package Management: host npm and NuGet packages; IDE Support: Eclipse, IntelliJ, Xcode and Visual Studio; Integration: link code and releases to work items, builds, and test results
Speed up Kubernetes development; Simplify Kubernetes local deployment; Easily extend to production deployment; Debug deployed applications; Access powerful IDE features
Statistics
Stacks
2.7K
Stacks
4
Followers
2.9K
Followers
69
Votes
249
Votes
0
Pros & Cons
Pros
  • 56
    Complete and powerful
  • 32
    Huge extension ecosystem
  • 27
    Azure integration
  • 26
    One Stop Shop For Build server, Project Mgt, CDCI
  • 26
    Flexible and powerful
Cons
  • 8
    Still dependant on C# for agents
  • 5
    Many in devops disregard MS altogether
  • 5
    Half Baked
  • 4
    Jack of all trades, master of none
  • 4
    Capacity across cross functional teams not visibile
No community feedback yet
Integrations
GitHub
GitHub
Visual Studio
Visual Studio
Docker
Docker
Slack
Slack
Trello
Trello
Git
Git
IntelliJ IDEA
IntelliJ IDEA
Jenkins
Jenkins
Octopus Deploy
Octopus Deploy
Eclipse
Eclipse
Visual Studio Code
Visual Studio Code
Kubernetes
Kubernetes
IntelliJ IDEA
IntelliJ IDEA

What are some alternatives to Azure DevOps, Google Cloud Code?

Trello

Trello

Trello is a collaboration tool that organizes your projects into boards. In one glance, Trello tells you what's being worked on, who's working on what, and where something is in a process.

Asana

Asana

Asana is the easiest way for teams to track their work. From tasks and projects to conversations and dashboards, Asana enables teams to move work from start to finish--and get results. Available at asana.com and on iOS & Android.

Basecamp

Basecamp

Basecamp is a project management and group collaboration tool. The tool includes features for schedules, tasks, files, and messages.

Confluence

Confluence

Capture the knowledge that's too often lost in email inboxes and shared network drives in Confluence instead – where it's easy to find, use, and update.

Redmine

Redmine

Redmine is a flexible project management web application. Written using the Ruby on Rails framework, it is cross-platform and cross-database.

Taskulu

Taskulu

Taskulu is a collaborative project planning service. It combines task management, real-time chat and time tracking into a single interface.

Notion

Notion

A new tool that blends your everyday work apps into one. It's a unified and collaborative workspace for you and your team

Aha!

Aha!

Set product strategy, visualize and share roadmaps, and articulate features so your product development teams can build what matters.

Ora

Ora

Ora enables you to customize your projects and collaborate the way you want! Choose an existing methodology or create your own. Ora has everything your team might need to boost productivity and collaborate! Task management, kanban, lists...

Shortcut

Shortcut

Shortcut combines a simple, modern UI with enterprise-grade tools, allowing technology companies to plan and manage their projects effectively, visualize progress across the organization, and define deadlines and milestones based upon data.

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