k3s vs k8s-sidecar-injector

Overview

k8s-sidecar-injector

Stacks3

Followers12

Votes0

GitHub Stars349

Forks71

k3s

Stacks97

Followers252

Votes16

k3s vs k8s-sidecar-injector: What are the differences?

<Introduction>
In the world of container orchestration, k3s and k8s-sidecar-injector offer two distinct approaches with their own unique features and functionalities. Below are the key differences between k3s and k8s-sidecar-injector.

Architecture: k3s is a lightweight Kubernetes distribution optimized for Edge and IoT environments, offering a smaller footprint compared to a full-fledged Kubernetes cluster. On the other hand, k8s-sidecar-injector is a Kubernetes admission controller that dynamically injects sidecar containers into pods at runtime, providing additional functionalities and capabilities to the main container.
Scope of Use: k3s is designed for scenarios where resources are limited, such as Edge computing devices or IoT devices, aiming to provide Kubernetes capabilities within constrained environments. In contrast, k8s-sidecar-injector is focused on enhancing the capabilities of existing Kubernetes clusters by injecting sidecar containers to extend the functionality of primary containers.
Installation and Deployment: k3s offers a simplistic installation process, allowing users to quickly set up a Kubernetes cluster with minimal configurations and dependencies. On the other hand, deploying k8s-sidecar-injector requires integrating the admission controller into an existing Kubernetes cluster, which may involve additional configuration steps and considerations.
Resource Overhead: k3s has a smaller resource footprint, making it more suitable for resource-constrained environments, where performance and efficiency are crucial factors. In contrast, running k8s-sidecar-injector alongside primary containers may introduce additional resource overhead, impacting the overall performance and resource utilization of the cluster.
Use Cases: k3s is commonly used in scenarios where lightweight Kubernetes clusters are required, such as Edge computing, IoT deployments, or testing environments, prioritizing speed and efficiency. On the other hand, k8s-sidecar-injector is ideal for situations where extending the functionalities of primary containers with sidecar containers is necessary, enabling users to modularize and enhance the capabilities of their applications.

In Summary, k3s is a lightweight Kubernetes distribution optimized for Edge and IoT environments, while k8s-sidecar-injector is an admission controller that dynamically injects sidecar containers into pods to extend the functionalities of primary containers in existing Kubernetes clusters.

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Detailed Comparison

k8s-sidecar-injector	k3s
It is a small service that runs in each Kubernetes cluster, and listens to the Kubernetes API via webhooks. For each pod creation, the injector gets a (mutating admission) webhook, asking whether or not to allow the pod launch, and if allowed, what changes we would like to make to it.	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.
-	ARM64 and ARMv7 support; Simplified installation; SQLite3 support; etcd support; Automatic Manifest and Helm Chart management; containerd, CoreDNS, Flannel support
Statistics
GitHub Stars 349	GitHub Stars -
GitHub Forks 71	GitHub Forks -
Stacks 3	Stacks 97
Followers 12	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 Docker	Kubernetes SQLite

What are some alternatives to k8s-sidecar-injector, k3s?

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.

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

Simple Docker App management for Mac OS X

Related Comparisons

k3s vs k8s-sidecar-injector: What are the differences?

Architecture: k3s is a lightweight Kubernetes distribution optimized for Edge and IoT environments, offering a smaller footprint compared to a full-fledged Kubernetes cluster. On the other hand, k8s-sidecar-injector is a Kubernetes admission controller that dynamically injects sidecar containers into pods at runtime, providing additional functionalities and capabilities to the main container.
Scope of Use: k3s is designed for scenarios where resources are limited, such as Edge computing devices or IoT devices, aiming to provide Kubernetes capabilities within constrained environments. In contrast, k8s-sidecar-injector is focused on enhancing the capabilities of existing Kubernetes clusters by injecting sidecar containers to extend the functionality of primary containers.
Installation and Deployment: k3s offers a simplistic installation process, allowing users to quickly set up a Kubernetes cluster with minimal configurations and dependencies. On the other hand, deploying k8s-sidecar-injector requires integrating the admission controller into an existing Kubernetes cluster, which may involve additional configuration steps and considerations.
Resource Overhead: k3s has a smaller resource footprint, making it more suitable for resource-constrained environments, where performance and efficiency are crucial factors. In contrast, running k8s-sidecar-injector alongside primary containers may introduce additional resource overhead, impacting the overall performance and resource utilization of the cluster.
Use Cases: k3s is commonly used in scenarios where lightweight Kubernetes clusters are required, such as Edge computing, IoT deployments, or testing environments, prioritizing speed and efficiency. On the other hand, k8s-sidecar-injector is ideal for situations where extending the functionalities of primary containers with sidecar containers is necessary, enabling users to modularize and enhance the capabilities of their applications.

k3s vs k8s-sidecar-injector

Overview