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. Conduit vs kubernetes-deploy

Conduit vs kubernetes-deploy

OverviewComparisonAlternatives

Overview

kubernetes-deploy
kubernetes-deploy
Stacks11
Followers61
Votes0
Conduit
Conduit
Stacks8
Followers18
Votes0

Conduit vs kubernetes-deploy: What are the differences?

  1. Architecture: Conduit is a lightweight service mesh designed for Kubernetes, focusing on simplicity and performance, while kubernetes-deploy is a tool that simplifies the deployment process on Kubernetes clusters.
  2. Scope: Conduit is specifically developed for addressing service-to-service communication within a cluster, offering features like traffic splitting and metrics monitoring, whereas kubernetes-deploy focuses on managing deployments and providing visibility into the deployment process.
  3. Community Support: Conduit has a smaller user base and community support compared to kubernetes-deploy, which has a larger and more active community contributing to its development and maintenance.
  4. Ease of Use: Conduit offers a more streamlined and easy-to-use interface for managing service mesh configurations and monitoring, while kubernetes-deploy provides a robust set of features for orchestrating complex deployments.
  5. Integration: Conduit seamlessly integrates with Kubernetes environments, offering a more native experience for users already familiar with Kubernetes concepts, while kubernetes-deploy may require a steeper learning curve for users new to Kubernetes.
  6. Stability and Reliability: Conduit is known for its reliability and stability in managing service mesh functionality, whereas kubernetes-deploy may encounter occasional issues or bugs due to its broader scope of deployment management.

In Summary, Conduit focuses on service mesh functionality within Kubernetes, while kubernetes-deploy is a tool for simplifying deployment processes on Kubernetes clusters, with differences in architecture, scope, community support, ease of use, integration, and stability.

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

kubernetes-deploy
kubernetes-deploy
Conduit
Conduit

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.

Conduit is a lightweight open source service mesh designed for performance, power, and ease of use when running applications on Kubernetes. Conduit is incredibly fast, lightweight, fundamentally secure, and easy to get started with.

Statistics
Stacks
11
Stacks
8
Followers
61
Followers
18
Votes
0
Votes
0
Integrations
Kubernetes
Kubernetes
Ruby
Ruby
Kubernetes
Kubernetes

What are some alternatives to kubernetes-deploy, Conduit?

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.

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