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  4. Container Tools
  5. Argo vs Google Cloud Container Builder

Argo vs Google Cloud Container Builder

OverviewComparisonAlternatives

Overview

Google Cloud Container Builder
Google Cloud Container Builder
Stacks177
Followers198
Votes0
Argo
Argo
Stacks761
Followers470
Votes6

Argo vs Google Cloud Container Builder: What are the differences?

Introduction

Argo and Google Cloud Container Builder are two popular tools used for building and managing containers in the cloud. While both offer container building capabilities, there are key differences between them. Below are the six specific differences between Argo and Google Cloud Container Builder.

  1. Workflow Management: Argo focuses on providing a workflow management system for building and orchestrating complex workflows involving multiple containers and parallel processing. It offers advanced features such as conditional execution, retries, and resource management. On the other hand, Google Cloud Container Builder is primarily focused on building individual containers and does not provide as comprehensive workflow management capabilities as Argo.

  2. Native Kubernetes Integration: Argo is built on top of Kubernetes and is specifically designed to work seamlessly with Kubernetes clusters. It leverages Kubernetes features such as custom resource definitions (CRDs) and uses the Kubernetes API for managing workflows. In contrast, while Google Cloud Container Builder can be used with Kubernetes, it is not tightly integrated with it. It is a standalone service that can build and push containers to various hosting platforms, including Kubernetes.

  3. Customizability: Argo offers a high level of customizability, allowing users to define custom templates, plugins, and even extend the core functionality. It supports fine-grained control over the execution environment, enabling users to specify resource limits, timeouts, and environment variables. Google Cloud Container Builder, on the other hand, provides a simpler interface and does not offer as many customization options as Argo.

  4. Pricing Model: Argo is an open-source tool that can be self-hosted or deployed on cloud infrastructure, making it more cost-effective for organizations that have their own infrastructure. Google Cloud Container Builder, being a managed service provided by Google, has a pricing model based on the number of build minutes used. This can be advantageous for organizations that prefer a fully managed service and are willing to pay for the convenience and scalability offered by Google Cloud.

  5. Integration with CI/CD Pipelines: Argo provides seamless integration with popular CI/CD tools such as Jenkins, GitLab, and GitHub Actions. It can be easily incorporated into existing CI/CD pipelines to enable powerful container-based workflows. On the other hand, while Google Cloud Container Builder can be integrated with CI/CD pipelines, it may require additional configuration and setup compared to Argo.

  6. Community and Support: Argo has a growing and active community of users and developers, with regular updates and contributions from various organizations. It has a dedicated support system and documentation to assist users. Google Cloud Container Builder has the backing of Google and benefits from its extensive cloud infrastructure and support ecosystem. It offers documentation, forums, and support channels for users.

In Summary, Argo is a powerful workflow management system with advanced features, native Kubernetes integration, and high customizability, while Google Cloud Container Builder is a managed service focused on building containers with simplified workflows, Kubernetes compatibility, and Google's extensive support ecosystem.

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Detailed Comparison

Google Cloud Container Builder
Google Cloud Container Builder
Argo
Argo

Run your container image builds in a fast, consistent, and reliable environment on Google Cloud Platform. Build in any language and package your build artifacts into Docker containers for deployment.

Argo is an open source container-native workflow engine for getting work done on Kubernetes. Argo is implemented as a Kubernetes CRD (Custom Resource Definition).

-
DAG or Steps based declaration of workflows;Artifact support (S3, Artifactory, HTTP, Git, raw);Step level input & outputs (artifacts/parameters);Loops;Parameterization;Conditionals;Timeouts (step & workflow level);Retry (step & workflow level);Resubmit (memoized);Suspend & Resume;Cancellation;K8s resource orchestration;Exit Hooks (notifications, cleanup);Garbage collection of completed workflow;Scheduling (affinity/tolerations/node selectors);Volumes (ephemeral/existing);Parallelism limits;Daemoned steps;DinD (docker-in-docker);Script steps
Statistics
Stacks
177
Stacks
761
Followers
198
Followers
470
Votes
0
Votes
6
Pros & Cons
No community feedback yet
Pros
  • 3
    Open Source
  • 2
    Autosinchronize the changes to deploy
  • 1
    Online service, no need to install anything
Integrations
Bitbucket
Bitbucket
GitHub
GitHub
Docker
Docker
Google Cloud Storage
Google Cloud Storage
Kubernetes
Kubernetes
Docker
Docker

What are some alternatives to Google Cloud Container Builder, Argo?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

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