Overview

Kubernetes

Stacks61.2K

Followers52.8K

Votes685

Lando

Stacks61

Followers63

Votes4

GitHub Stars4.2K

Forks530

Kubernetes vs Lando: What are the differences?

Introduction

Kubernetes and Lando are both popular tools used in the development and deployment of applications, but they have key differences that set them apart. In this markdown, we will highlight the main differences between Kubernetes and Lando and provide a concise summary of these distinctions.

Scalability and Orchestration: Kubernetes is a container orchestration platform that enables the management and scaling of containerized applications across a cluster of nodes. It provides advanced features like auto-scaling, load balancing, and automatic deployment rollbacks. On the other hand, Lando is primarily focused on creating development environments and does not offer the same level of scalability and orchestration capabilities as Kubernetes.
Supported Services: Kubernetes offers a vast ecosystem of services and plugins that can be integrated, including storage, networking, monitoring, and logging solutions. It has a wide range of options for customizing and extending its functionalities. Lando, on the other hand, is more focused on providing pre-configured environments for popular development platforms and services, such as PHP, Node.js, and databases like MySQL and PostgreSQL.
Complexity and Learning Curve: Kubernetes has a steeper learning curve compared to Lando. It requires a deeper understanding of containerization concepts, networking, and distributed systems. Kubernetes deployments typically involve a higher level of complexity, configuration, and management. Lando, on the other hand, aims to simplify the development workflow by providing a straightforward and user-friendly interface, abstracting away some of the complexities involved in configuring environments and services.
Target Users and Use Cases: Kubernetes is designed for large-scale production deployments and is commonly used by enterprises or organizations with complex infrastructure needs. It is well-suited for building and managing cloud-native applications across multiple environments. Lando, on the other hand, caters more to individual developers and small to medium-sized projects that require quick and easy setup of development environments. Lando is particularly useful for local development workflows and provides a consistent environment across different machines.
Community and Ecosystem: Kubernetes has a vibrant and extensive community, with a plethora of documentation, resources, and active contribution from various organizations. It benefits from a large ecosystem of tools, integrations, and support, making it suitable for a wide range of use cases and scenarios. Lando, while still having an active community, has a narrower focus and a smaller ecosystem compared to Kubernetes.
Portability and Vendor Lock-In: Kubernetes is known for its portability across different cloud providers and infrastructure platforms. It provides a layer of abstraction that allows applications to be deployed consistently regardless of the underlying infrastructure. This portability helps avoid vendor lock-in and allows for more flexible deployment options. Lando, on the other hand, is more tied to specific development environments and is less flexible in terms of portability and deployment options.

In summary, Kubernetes is a powerful container orchestration platform suitable for large-scale production deployments, offering advanced scalability, flexibility, and a wide range of integrations and services. Lando, on the other hand, is a developer-focused tool that simplifies local development workflows and provides pre-configured environments for popular development platforms. It offers ease of use, simplicity, and consistency but lacks the scalability and advanced orchestration features of Kubernetes.

🔥 Trending in Container Registry on StackShare

SpinKube Container Registry

Hyper-efficient serverless on Kubernetes, powered by WebAssembly

Try it View Docs Alternatives

Try

0

6

Advice on Kubernetes, Lando

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}|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.

12.8M views12.8M

Comments

Detailed Comparison

Kubernetes	Lando
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's a free, open source, cross-platform, local development environment and DevOps tool built on Docker container technology and developed by Tandem. Designed to work with most major languages, frameworks and services, it provides an easy way for developers of all skill levels to specify simple or complex requirements for their projects, and then quickly get to work on them.
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	Mimicking your production environment locally; Integrating with hosting providers like Pantheon; Running CI tests locally, running local tests in CI
Statistics
GitHub Stars -	GitHub Stars 4.2K
GitHub Forks -	GitHub Forks 530
Stacks 61.2K	Stacks 61
Followers 52.8K	Followers 63
Votes 685	Votes 4
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	Pros 2 Open source 2 Multi containers
Integrations
Vagrant Docker Rackspace Cloud Servers Microsoft Azure Google Compute Engine Ansible Google Kubernetes Engine	Linux Drupal WordPress Windows Mac OS X Joomla!

What are some alternatives to Kubernetes, Lando?

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.