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  1. Stackups
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  4. Container Tools
  5. Helios vs kubernetes-deploy

Helios vs kubernetes-deploy

OverviewComparisonAlternatives

Overview

Helios
Helios
Stacks21
Followers74
Votes0
GitHub Stars2.2K
Forks233
kubernetes-deploy
kubernetes-deploy
Stacks11
Followers61
Votes0

Helios vs kubernetes-deploy: What are the differences?

Introduction: Helios and kubernetes-deploy are both tools used for deploying and managing applications, but they have distinct differences that cater to different needs and preferences.

1. Scalability: Helios is more suitable for smaller-scale deployments where the emphasis is on simplicity and ease of use. On the other hand, kubernetes-deploy is designed for larger-scale deployments with more complex requirements, offering more scalability options and advanced features for managing clusters and services.

2. Ecosystem Support: Kubernetes-deploy integrates seamlessly with the larger Kubernetes ecosystem, allowing for easy integration with other tools and services that are commonly used in Kubernetes environments. Helios, on the other hand, might have limited support and integration options with other related tools, limiting its extensibility in some cases.

3. Resource Management: Kubernetes-deploy provides more robust resource management capabilities, allowing for more granular control over resource allocation and utilization within the cluster. Helios, while still offering resource management features, may not be as fine-tuned and powerful as what kubernetes-deploy offers in this aspect.

4. Community and Support: The communities around Helios and kubernetes-deploy differ significantly in size and activity. Kubernetes-deploy, being part of the larger Kubernetes ecosystem, has a more active community and better support resources available. Helios, while still being used by some, may not have the same level of community engagement and support as kubernetes-deploy.

5. Deployment Flexibility: Kubernetes-deploy offers more deployment flexibility and options, such as rolling updates, canary deployments, and blue-green deployments, which can be essential for certain use cases. Helios, while providing basic deployment functionality, may lack some of the advanced deployment strategies that kubernetes-deploy can offer.

6. Learning Curve: Due to its simpler design and focus on ease of use, Helios typically has a lower learning curve compared to kubernetes-deploy, which can be more complex and require a deeper understanding of Kubernetes concepts and architecture. This difference in learning curve can influence the choice between the two tools based on the user's proficiency and requirements.

In Summary, Helios and kubernetes-deploy differ in scalability, ecosystem support, resource management, community and support, deployment flexibility, and learning curve.

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Detailed Comparison

Helios
Helios
kubernetes-deploy
kubernetes-deploy

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.

kubernetes-deploy is a command line tool that helps you ship changes to a Kubernetes namespace and understand the result. At Shopify, we use it within our much-beloved, open-source Shipit deployment app.

Helios is pragmatic.; Helios fits into the way you already do ops.;Hihgly scalable
-
Statistics
GitHub Stars
2.2K
GitHub Stars
-
GitHub Forks
233
GitHub Forks
-
Stacks
21
Stacks
11
Followers
74
Followers
61
Votes
0
Votes
0
Integrations
Docker
Docker
Kubernetes
Kubernetes
Ruby
Ruby

What are some alternatives to Helios, kubernetes-deploy?

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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