Kubernetes vs lazydocker

Overview

Kubernetes

Stacks61.2K

Followers52.8K

Votes685

lazydocker

Stacks15

Followers44

Votes0

GitHub Stars47.3K

Forks1.5K

Kubernetes vs lazydocker: What are the differences?

Scalability: Kubernetes offers a highly scalable container orchestration platform that can manage large clusters of containers efficiently, while lazydocker is a simple terminal-based UI that provides real-time information about containers for individual hosts and does not scale as well as Kubernetes.
Resource Management: Kubernetes excels in automatically managing resources, such as CPU and memory, for containerized applications, ensuring optimal utilization and performance. In contrast, lazydocker focuses more on providing a streamlined overview of resource usage for individual containers without the advanced resource management capabilities of Kubernetes.
Networking: Kubernetes has robust networking features with built-in service discovery, load balancing, and network policies for secure communication between containers, while lazydocker is primarily focused on providing a user-friendly interface for monitoring container activities and processes without advanced networking functionalities.
High Availability: Kubernetes supports high availability through features like automatic container rescheduling, rolling updates, and self-healing capabilities, ensuring continuous availability of containerized applications in case of failures. Lazydocker, on the other hand, lacks these advanced high availability features and is more suited for individual host monitoring rather than highly resilient cluster management.
Flexibility: Kubernetes offers a wide range of deployment options, including hybrid cloud, multi-cloud, and on-premises environments, making it a versatile solution for various deployment scenarios. Lazydocker, however, is limited to providing a simplified monitoring interface for containers on a single host and lacks the flexibility to deploy and manage containers across different environments.
Community Support: Kubernetes has a vast and active open-source community, contributing to its continuous development, innovation, and support, ensuring a robust and constantly evolving platform for container orchestration. In contrast, lazydocker, while also open-source, has a smaller user community and limited ongoing support and enhancement compared to Kubernetes.

In Summary, Kubernetes offers advanced scalability, resource management, networking capabilities, high availability features, deployment flexibility, and strong community support, while lazydocker provides a user-friendly interface for monitoring containers on individual hosts but lacks the advanced functionalities and extensive support of Kubernetes.

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Advice on Kubernetes, lazydocker

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

Decidedon

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Markdown

Our whole DevOps stack consists of the following tools:

@{GitHub}|tool:27| (incl. @{GitHub Pages}|tool:683|/@{Markdown}|tool:1147| for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
Respectively @{Git}|tool:1046| as revision control system
@{SourceTree}|tool:1599| as @{Git}|tool:1046| GUI
@{Visual Studio Code}|tool:4202| as IDE
@{CircleCI}|tool:190| for continuous integration (automatize development process)
@{Prettier}|tool:7035| / @{TSLint}|tool:5561| / @{ESLint}|tool:3337| as code linter
@{SonarQube}|tool:2638| as quality gate
@{Docker}|tool:586| as container management (incl. @{Docker Compose}|tool:3136| for multi-container application management)
@{VirtualBox}|tool:774| for operating system simulation tests
@{Kubernetes}|tool:1885| as cluster management for docker containers
@{Heroku}|tool:133| for deploying in test environments
@{nginx}|tool:1052| as web server (preferably used as facade server in production environment)
@{SSLMate}|tool:2752| (using @{OpenSSL}|tool:3091|) for certificate management
@{Amazon EC2}|tool:18| (incl. @{Amazon S3}|tool:25|) for deploying in stage (production-like) and production environments
@{PostgreSQL}|tool:1028| as preferred database system
@{Redis}|tool:1031| 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	lazydocker
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 a terminal UI for both docker and docker-compose, written in Go with the gocui library. It has all the information you need in one terminal window with every common command living one keypress away.
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	viewing logs; viewing the state of your docker
Statistics
GitHub Stars -	GitHub Stars 47.3K
GitHub Forks -	GitHub Forks 1.5K
Stacks 61.2K	Stacks 15
Followers 52.8K	Followers 44
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	Golang Docker Compose Docker

What are some alternatives to Kubernetes, lazydocker?

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.

Kitematic

Simple Docker App management for Mac OS X

Related Comparisons

Kubernetes vs lazydocker: What are the differences?

Scalability: Kubernetes offers a highly scalable container orchestration platform that can manage large clusters of containers efficiently, while lazydocker is a simple terminal-based UI that provides real-time information about containers for individual hosts and does not scale as well as Kubernetes.
Resource Management: Kubernetes excels in automatically managing resources, such as CPU and memory, for containerized applications, ensuring optimal utilization and performance. In contrast, lazydocker focuses more on providing a streamlined overview of resource usage for individual containers without the advanced resource management capabilities of Kubernetes.
Networking: Kubernetes has robust networking features with built-in service discovery, load balancing, and network policies for secure communication between containers, while lazydocker is primarily focused on providing a user-friendly interface for monitoring container activities and processes without advanced networking functionalities.
High Availability: Kubernetes supports high availability through features like automatic container rescheduling, rolling updates, and self-healing capabilities, ensuring continuous availability of containerized applications in case of failures. Lazydocker, on the other hand, lacks these advanced high availability features and is more suited for individual host monitoring rather than highly resilient cluster management.
Flexibility: Kubernetes offers a wide range of deployment options, including hybrid cloud, multi-cloud, and on-premises environments, making it a versatile solution for various deployment scenarios. Lazydocker, however, is limited to providing a simplified monitoring interface for containers on a single host and lacks the flexibility to deploy and manage containers across different environments.
Community Support: Kubernetes has a vast and active open-source community, contributing to its continuous development, innovation, and support, ensuring a robust and constantly evolving platform for container orchestration. In contrast, lazydocker, while also open-source, has a smaller user community and limited ongoing support and enhancement compared to Kubernetes.

Kubernetes vs lazydocker

Overview