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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Clair vs k3s

Clair vs k3s

OverviewComparisonAlternatives

Overview

Clair
Clair
Stacks41
Followers57
Votes0
k3s
k3s
Stacks97
Followers252
Votes16

Clair vs k3s: What are the differences?

  1. Installation and Resources: Clair is a vulnerability management tool that requires dedicated resources like storage and compute power to function efficiently. On the other hand, k3s is a lightweight Kubernetes distribution designed for resource-constrained environments, making it more suitable for edge computing or IoT devices with limited resources.

  2. Managed vs. Self-hosted: Clair is typically run as a managed service, where users rely on external providers or platforms for hosting and maintenance. In contrast, k3s is self-hosted, allowing users to have more control over the deployment and management of their Kubernetes clusters.

  3. Focus and Functionality: Clair primarily focuses on vulnerability scanning and monitoring in containerized environments, providing insights into potential security risks. In comparison, k3s is a full-fledged Kubernetes distribution that includes a container runtime, orchestrator, and other essential components for deploying and managing containerized applications.

  4. Community and Support: Clair is primarily maintained by the open-source community with limited official support, which may impact the responsiveness to user issues and updates. On the contrary, k3s has strong community support and backing from Rancher Labs, ensuring regular updates, bug fixes, and a vibrant user community.

  5. Scalability and Flexibility: Clair may face scalability challenges when dealing with a large number of containers or images, impacting its performance and responsiveness. In contrast, k3s is designed for scalability and can easily adapt to the changing workload demands, making it a more flexible option for dynamic environments.

  6. Ease of Use and Learning Curve: Clair may have a steeper learning curve due to its focus on vulnerability management and specific use cases, requiring users to have a good understanding of security concepts. On the other hand, k3s offers a more user-friendly experience with simplified installation procedures and intuitive tools, making it easier for beginners to get started with Kubernetes.

In Summary, Clair and k3s differ in their resource requirements, deployment models, focus on functionality, community support, scalability, and ease of use, catering to different needs in containerized and Kubernetes environments.

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Detailed Comparison

Clair
Clair
k3s
k3s

Clair is a container vulnerability analysis service by CoreOS. It provides the list of vulnerabilities that threaten each container and can sends notifications whenever new vulnerabilities that affect existing containers are released.

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.

Api defines how users interact with Clair and exposes a documented HTTP API; Worker extracts useful informations from layers and store everything in the database; Updater periodically updates Clair's vulnerability database from known vulnerability sources; Notifier dispatches notifications about vulnerable containers when vulnerabilities are released or updated; Database persists layers informations and vulnerabilities in Cayley graph database; Health summarizes health checks of every Clair's services
ARM64 and ARMv7 support; Simplified installation; SQLite3 support; etcd support; Automatic Manifest and Helm Chart management; containerd, CoreDNS, Flannel support
Statistics
Stacks
41
Stacks
97
Followers
57
Followers
252
Votes
0
Votes
16
Pros & Cons
No community feedback yet
Pros
  • 6
    Lightweight
  • 4
    Easy
  • 2
    Scale Services
  • 2
    Open Source
  • 2
    Replication Controller
Integrations
Kubernetes
Kubernetes
Kubernetes
Kubernetes
SQLite
SQLite

What are some alternatives to Clair, k3s?

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.

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.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

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