Software Alternatives, Accelerators & Startups

Starsheep VS Google Cloud Deployment Manager

Compare Starsheep VS Google Cloud Deployment Manager and see what are their differences

Starsheep logo Starsheep

YAML automation framework for creating decentralized applications with your favourite language. It gives fully scallable and fault tolerant tool, based on cryptography as user-friendly framework, for defining data models, listeners and own scripts

Google Cloud Deployment Manager logo Google Cloud Deployment Manager

Infrastructure Build Tools
  • Starsheep Landing page
    Landing page //
    2023-07-28
  • Google Cloud Deployment Manager Landing page
    Landing page //
    2023-09-12

Starsheep videos

No Starsheep videos yet. You could help us improve this page by suggesting one.

+ Add video

Google Cloud Deployment Manager videos

Pros & Cons of Google Cloud Deployment Manager

Category Popularity

0-100% (relative to Starsheep and Google Cloud Deployment Manager)
DevOps Tools
20 20%
80% 80
Developer Tools
100 100%
0% 0
Continuous Integration
0 0%
100% 100
Cloud Computing
100 100%
0% 0

User comments

Share your experience with using Starsheep and Google Cloud Deployment Manager. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Google Cloud Deployment Manager seems to be more popular. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Starsheep mentions (0)

We have not tracked any mentions of Starsheep yet. Tracking of Starsheep recommendations started around Mar 2021.

Google Cloud Deployment Manager mentions (12)

  • Building a security-conscious CI/CD pipeline
    Infrastructure as code (IaC) allows DevOps teams to define the end state of the required infrastructure and deploy it using a template-based approach. Public cloud platforms each provide proprietary IaC tools, such as Azure (ARM Templates and Bicep), AWS (CloudFormation), and GCP (Deployment Manager). - Source: dev.to / 11 months ago
  • Hi, anyone aware of Deployment manager and please guide me on how to use it
    Start with the google docs https://cloud.google.com/deployment-manager/docs. Source: about 1 year ago
  • Google Cloud Reference
    Cloud Deployment Manager: Templated infrastructure deployment 🔗Link 🔗Link. - Source: dev.to / almost 2 years ago
  • Deploying a Mostly Serverless Website on GCP
    When exploring options on how to deploy the architecture we briefly considered Google Cloud Deployment Manager. Upon further investigation we were led to use Terraform instead. It was evident that Cloud Deployment Manager did not have the necessary support for the resource types that we were trying to create. Many of the supported resource types were still listed in beta. - Source: dev.to / almost 2 years ago
  • DEVOPS AS A SERVICE
    Deployment Manager templates give declarative language choices rather than imperative ones; this means that DevOps teams may tell Deployment Manager what a final deployment should look like, and GCP will automatically utilize the tools and procedures. When an excellent deployment method is created, it is saved so that it may be repeated and scaled on demand. Source: almost 2 years ago
View more

What are some alternatives?

When comparing Starsheep and Google Cloud Deployment Manager, you can also consider the following products

Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.

AWS CloudFormation - AWS CloudFormation gives developers and systems administrators an easy way to create and manage a...

Rancher - Open Source Platform for Running a Private Container Service

Pulumi - Cloud Infrastructure for any cloud using languages you already know and love.

Jekyll - Jekyll is a simple, blog aware, static site generator.

Hashicorp Terraform - Hashicorp Terraform is a tool that collaborate on infrastructure changes to reduce errors and simplify recovery.