Kubernetes vs Katacontainers Comparison | StackShare

Overview

Kubernetes

Stacks61.2K

Followers52.8K

Votes685

Katacontainers

Stacks9

Followers6

Votes0

Kubernetes vs Katacontainers: What are the differences?

What is Kubernetes? Manage a cluster of Linux containers as a single system to accelerate Dev and simplify Ops. 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.

What is Katacontainers? Open source project delivering the security of VMs with the speed of containers. It is an open source container runtime, building lightweight virtual machines that seamlessly plug into the containers ecosystem.

Kubernetes and Katacontainers can be primarily classified as "Container" tools.

Some of the features offered by Kubernetes are:

Lightweight, simple and accessible
Built for a multi-cloud world, public, private or hybrid
Highly modular, designed so that all of its components are easily swappable

On the other hand, Katacontainers provides the following key features:

Runs in a dedicated kernel, providing isolation of network, I/O and memory and can utilize hardware-enforced isolation with virtualization VT extensions
Supports industry standards including OCI container format, Kubernetes CRI interface, as well as legacy virtualization technologies
Delivers consistent performance as standard Linux containers

Kubernetes is an open source tool with 68.5K GitHub stars and 24.6K GitHub forks. Here's a link to Kubernetes's open source repository on GitHub.

Advice on Kubernetes, Katacontainers

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

Decidedon

GitHub

GitHub Pages

Markdown

Our whole DevOps stack consists of the following tools:

GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
Respectively Git as revision control system
SourceTree as Git GUI
Visual Studio Code as IDE
CircleCI for continuous integration (automatize development process)
Prettier / TSLint / ESLint as code linter
SonarQube as quality gate
Docker as container management (incl. Docker Compose for multi-container application management)
VirtualBox for operating system simulation tests
Kubernetes as cluster management for docker containers
Heroku for deploying in test environments
nginx as web server (preferably used as facade server in production environment)
SSLMate (using OpenSSL) for certificate management
Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
PostgreSQL as preferred database system
Redis as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
Scalability: All-in-one framework for distributed systems.
Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.

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Detailed Comparison

Kubernetes	Katacontainers
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.	It is an open source container runtime, building lightweight virtual machines that seamlessly plug into the containers ecosystem.
Lightweight, simple and accessible;Built for a multi-cloud world, public, private or hybrid;Highly modular, designed so that all of its components are easily swappable	Runs in a dedicated kernel, providing isolation of network, I/O and memory and can utilize hardware-enforced isolation with virtualization VT extensions; Supports industry standards including OCI container format, Kubernetes CRI interface, as well as legacy virtualization technologies; Delivers consistent performance as standard Linux containers; increased isolation without the performance tax of standard virtual machines; Eliminates the requirement for nesting containers inside full blown virtual machines; standard interfaces make it easy to plug in and get started
Statistics
Stacks 61.2K	Stacks 9
Followers 52.8K	Followers 6
Votes 685	Votes 0
Pros & Cons
Pros 166 Leading docker container management solution 130 Simple and powerful 108 Open source 76 Backed by google 58 The right abstractions Cons 16 Steep learning curve 15 Poor workflow for development 8 Orchestrates only infrastructure 4 High resource requirements for on-prem clusters 2 Too heavy for simple systems	No community feedback yet
Integrations
Vagrant Docker Rackspace Cloud Servers Microsoft Azure Google Compute Engine Ansible Google Kubernetes Engine	OpenStack AWS Firecracker

What are some alternatives to Kubernetes, Katacontainers?

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.