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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Watchtower vs kubernetes-deploy

Watchtower vs kubernetes-deploy

OverviewComparisonAlternatives

Overview

kubernetes-deploy
kubernetes-deploy
Stacks11
Followers61
Votes0
Watchtower
Watchtower
Stacks30
Followers36
Votes6
GitHub Stars24.0K
Forks1.0K

Watchtower vs kubernetes-deploy: What are the differences?

Introduction

Watchtower and kubernetes-deploy are two popular tools used in the deployment process for containerized applications. While both tools serve the purpose of automating deployment, there are several key differences between them.

  1. Deployment Strategy: Watchtower focuses on continuous delivery by monitoring for changes to container images and automatically updating running containers. On the other hand, kubernetes-deploy is specifically designed for deploying to Kubernetes clusters, leveraging its declarative configuration approach to define desired state and manage deployments accordingly.

  2. Compatibility: Watchtower supports various container runtimes and deployment environments, including Docker and Amazon ECS. It can be used independent of any specific orchestration platform. In contrast, kubernetes-deploy is tightly integrated with Kubernetes and specifically tailored for deployment within a Kubernetes cluster. It leverages Kubernetes-specific objects and APIs for managing application deployment.

  3. Deployment Control: Watchtower operates at the container level and focuses on updating individual containers. It offers fine-grained control over which containers get updated and when, allowing for selective updates within a multi-container environment. Conversely, kubernetes-deploy operates at the application level and manages deployments as a whole. It ensures application consistency by deploying all the necessary components together.

  4. Rollback Capability: Watchtower provides a rollback mechanism by storing the previous versions of container images and allowing for their restoration if necessary. However, the rollback process is limited to individual containers and lacks automated support. In contrast, kubernetes-deploy offers robust rollback capabilities by leveraging Kubernetes' native features such as rollout history and replica sets. It allows for easy rollback to a previous known good state at the application level.

  5. Extensibility: Watchtower is a standalone tool with a narrower focus on container deployment and update automation. It provides less extensibility when compared to kubernetes-deploy, which benefits from the vast ecosystem of Kubernetes. Kubernetes provides a rich set of extensions and plugins for various use cases, allowing for more flexible customization of the deployment process.

  6. Advanced Deployment Strategies: Kubernetes-deploy offers advanced deployment strategies like blue-green deployment and canary release, which allow for seamless and controlled rollouts of new versions. Watchtower, primarily focused on container update automation, lacks these advanced deployment strategies and primarily focuses on keeping containers up to date.

In Summary, Watchtower and kubernetes-deploy differ in their deployment strategies, compatibility, deployment control, rollback capability, extensibility, and support for advanced deployment strategies in Kubernetes.

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Detailed Comparison

kubernetes-deploy
kubernetes-deploy
Watchtower
Watchtower

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 an application that will monitor your running Docker containers and watch for changes to the images that those containers were originally started from. If it detects that an image has changed, it will automatically restart the container using the new image.

-
Notifications; Container selection; Private registries; Linked containers; Remote hosts; Secure connections; Lifecycle hooks
Statistics
GitHub Stars
-
GitHub Stars
24.0K
GitHub Forks
-
GitHub Forks
1.0K
Stacks
11
Stacks
30
Followers
61
Followers
36
Votes
0
Votes
6
Pros & Cons
No community feedback yet
Pros
  • 2
    Automation Friendly
  • 1
    Easy setup
  • 1
    Small footprint
  • 1
    Open-source
  • 1
    Great community
Integrations
Kubernetes
Kubernetes
Ruby
Ruby
Mattermost
Mattermost
Slack
Slack
Docker
Docker
Docker Compose
Docker Compose
Microsoft Teams
Microsoft Teams
Telegram
Telegram
Discord
Discord
GNU Bash
GNU Bash
Hangouts
Hangouts

What are some alternatives to kubernetes-deploy, Watchtower?

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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