StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. AWS Shell vs Helios

AWS Shell vs Helios

OverviewComparisonAlternatives

Overview

Helios
Helios
Stacks21
Followers74
Votes0
GitHub Stars2.2K
Forks233
AWS Shell
AWS Shell
Stacks33
Followers66
Votes0
GitHub Stars7.3K
Forks780

AWS Shell vs Helios: What are the differences?

Introduction

In this comparison, we will highlight key differences between AWS Shell and Helios, two powerful tools utilized for managing and orchestrating cloud resources efficiently.

  1. Deployment Approach: AWS Shell is a command-line interface tool specifically designed for managing AWS resources through a set of predefined commands and scripts, providing more granular control over individual components. On the other hand, Helios offers a more high-level approach, utilizing a centralized web-based interface for managing containers, clusters, and deployments across multiple cloud platforms, promoting simplified management and scaling of resources.

  2. Scalability and Flexibility: AWS Shell primarily focuses on AWS services and resources, limiting its scalability options to the AWS ecosystem. However, Helios offers greater flexibility by supporting multi-cloud deployments, allowing users to seamlessly manage resources across different cloud providers, enabling efficient resource allocation and orchestration.

  3. Automation Capabilities: AWS Shell excels in automation by providing extensive scripting capabilities and integration with AWS SDKs, enabling users to automate complex workflows and tasks effectively. Contrastingly, Helios emphasizes automation through built-in features like auto-scaling, self-healing, and service discovery, streamlining the deployment and management process without the need for extensive scripting.

  4. Monitoring and Logging: AWS Shell offers basic monitoring and logging functionality, primarily relying on AWS CloudWatch for tracking metrics and logs. In comparison, Helios provides advanced monitoring and logging capabilities through integrations with popular tools like Prometheus and Grafana, offering more comprehensive insights into resource utilization and performance metrics.

  5. Resource Isolation and Management: AWS Shell allows for resource isolation through AWS IAM roles and policies, ensuring secure access control and governance over cloud resources. Helios, on the other hand, provides enhanced resource management features like workload segmentation, resource tagging, and role-based access control, facilitating efficient resource utilization and governance across diverse cloud environments.

  6. Community Support and Documentation: AWS Shell benefits from extensive community support and comprehensive documentation due to its association with AWS, providing users with a wealth of resources for troubleshooting and learning. In contrast, Helios, being an open-source project, relies on community contributions and documentation, offering users the opportunity to collaborate and enhance the platform based on collective knowledge and experience.

In Summary, AWS Shell and Helios differ in deployment approach, scalability, automation capabilities, monitoring/logging features, resource management, and community support/documentation, catering to distinct user preferences and cloud management requirements.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Helios
Helios
AWS Shell
AWS Shell

Helios is a Docker orchestration platform for deploying and managing containers across an entire fleet of servers. Helios provides a HTTP API as well as a command-line client to interact with servers running your containers.

The AWS Command Line Interface is a unified tool to manage your AWS services.

Helios is pragmatic.; Helios fits into the way you already do ops.;Hihgly scalable
Auto Completion of Commands and Options;Shorthand Auto Completion;Server Side Auto Completion;Fuzzy Searching;Inline Documentation;Fish-Style Auto Suggestions;Command History;Toolbar Options;Dot Commands
Statistics
GitHub Stars
2.2K
GitHub Stars
7.3K
GitHub Forks
233
GitHub Forks
780
Stacks
21
Stacks
33
Followers
74
Followers
66
Votes
0
Votes
0
Integrations
Docker
Docker
No integrations available

What are some alternatives to Helios, AWS Shell?

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.

LocalStack

LocalStack

LocalStack provides an easy-to-use test/mocking framework for developing Cloud applications.

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.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana