kubernetes-deploy vs Testcontainers

Overview

kubernetes-deploy

Stacks11

Followers61

Votes0

Testcontainers

Stacks139

Followers59

Votes0

GitHub Stars8.5K

Forks1.8K

kubernetes-deploy vs Testcontainers: What are the differences?

What is kubernetes-deploy? A command-line tool that helps you ship changes to a Kubernetes namespace and understand the result, by Shopify. 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.

What is Testcontainers? A library that integrates Docker with testing libs - for databases, Selenium web browsers, or anything else that can run in a Docker container. It is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.

kubernetes-deploy and Testcontainers belong to "Container Tools" category of the tech stack.

kubernetes-deploy is an open source tool with 891 GitHub stars and 74 GitHub forks. Here's a link to kubernetes-deploy's open source repository on GitHub.

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Detailed Comparison

kubernetes-deploy	Testcontainers
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.	It is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.
-	Data access layer integration tests; Application integration tests; UI/Acceptance tests
Statistics
GitHub Stars -	GitHub Stars 8.5K
GitHub Forks -	GitHub Forks 1.8K
Stacks 11	Stacks 139
Followers 61	Followers 59
Votes 0	Votes 0
Integrations
Kubernetes Ruby	Oracle Docker PostgreSQL MySQL Spock Framework JUnit

What are some alternatives to kubernetes-deploy, Testcontainers?

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.