Fleet vs Helm

Overview

Fleet

Stacks13

Followers39

Votes0

GitHub Stars2.4K

Forks301

Helm

Stacks1.4K

Followers911

Votes18

Fleet vs Helm: What are the differences?

# Introduction
In the Kubernetes ecosystem, Fleet and Helm are two popular tools used for managing deployments. While both tools aim to simplify the deployment process, there are key differences between Fleet and Helm that users need to consider.

1. **Architecture**: Fleet utilizes a server-client architecture where the server component (Fleet Daemon) runs on a centralized server, managing multiple clients. In contrast, Helm uses a client-side architecture, where the Helm client interacts directly with the Kubernetes API server to deploy applications.

2. **Deployment Method**: Fleet focuses on managing Kubernetes clusters as a single unit, applying configurations uniformly across all clusters. On the other hand, Helm is designed for packaging and deploying applications on Kubernetes individually, providing more flexibility in managing different applications.

3. **Versioning and Rollbacks**: Helm offers support for versioning and rollbacks, allowing users to easily track the history of deployments and rollback to a previous version if needed. However, Fleet does not provide built-in support for versioning and rollbacks, making it more challenging to manage deployment history.

4. **Community Support**: Helm has a larger and more active community compared to Fleet, resulting in more resources, contributions, and community-maintained charts available for users to leverage. Fleet, while actively developed, may have a smaller community base, which could impact support and resources available.

5. **Use Case**: Fleet is well-suited for managing large-scale, homogenous clusters where uniform configurations are required across all clusters. In contrast, Helm is better suited for managing diverse applications and environments within a Kubernetes cluster, providing more flexibility in deploying and managing applications.

6. **Customization and Extensibility**: Helm allows for easy customization and extension through the use of charts, templates, and plugins, enabling users to tailor deployments to specific requirements. Fleet, while providing deployment management capabilities, may have limitations in terms of customization and extensibility compared to Helm.

In Summary, Fleet and Helm differ in architecture, deployment method, versioning capabilities, community support, use cases, and customization options in the Kubernetes ecosystem.

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Detailed Comparison

Fleet	Helm
Fleet is a low-level cluster engine that feels like a distributed init system. With fleet, you can treat your CoreOS cluster as if it shared a single init system.	Helm is the best way to find, share, and use software built for Kubernetes.
Deploy docker containers on arbitrary hosts in a cluster;Distribute services across a cluster using machine-level anti-affinity;Maintain N instances of a service, re-scheduling on machine failure;Discover machines running in the cluster;Automatically SSH into the machine running a job	-
Statistics
GitHub Stars 2.4K	GitHub Stars -
GitHub Forks 301	GitHub Forks -
Stacks 13	Stacks 1.4K
Followers 39	Followers 911
Votes 0	Votes 18
Pros & Cons
No community feedback yet	Pros 8 Infrastructure as code 6 Open source 2 Easy setup 1 Testability and reproducibility 1 Support
Integrations
No integrations available	Docker Kubernetes

What are some alternatives to Fleet, Helm?

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 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

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

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 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

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

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

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

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 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.

Related Comparisons

Fleet vs Helm: What are the differences?

# Introduction
In the Kubernetes ecosystem, Fleet and Helm are two popular tools used for managing deployments. While both tools aim to simplify the deployment process, there are key differences between Fleet and Helm that users need to consider.

1. **Architecture**: Fleet utilizes a server-client architecture where the server component (Fleet Daemon) runs on a centralized server, managing multiple clients. In contrast, Helm uses a client-side architecture, where the Helm client interacts directly with the Kubernetes API server to deploy applications.

2. **Deployment Method**: Fleet focuses on managing Kubernetes clusters as a single unit, applying configurations uniformly across all clusters. On the other hand, Helm is designed for packaging and deploying applications on Kubernetes individually, providing more flexibility in managing different applications.

3. **Versioning and Rollbacks**: Helm offers support for versioning and rollbacks, allowing users to easily track the history of deployments and rollback to a previous version if needed. However, Fleet does not provide built-in support for versioning and rollbacks, making it more challenging to manage deployment history.

4. **Community Support**: Helm has a larger and more active community compared to Fleet, resulting in more resources, contributions, and community-maintained charts available for users to leverage. Fleet, while actively developed, may have a smaller community base, which could impact support and resources available.

5. **Use Case**: Fleet is well-suited for managing large-scale, homogenous clusters where uniform configurations are required across all clusters. In contrast, Helm is better suited for managing diverse applications and environments within a Kubernetes cluster, providing more flexibility in deploying and managing applications.

6. **Customization and Extensibility**: Helm allows for easy customization and extension through the use of charts, templates, and plugins, enabling users to tailor deployments to specific requirements. Fleet, while providing deployment management capabilities, may have limitations in terms of customization and extensibility compared to Helm.

In Summary, Fleet and Helm differ in architecture, deployment method, versioning capabilities, community support, use cases, and customization options in the Kubernetes ecosystem.

Fleet vs Helm

Overview