Kubernetes vs Quarkus

Overview

Kubernetes

Stacks61.2K

Followers52.8K

Votes685

Quarkus

Stacks311

Followers382

Votes80

GitHub Stars15.2K

Forks3.0K

Kubernetes vs Quarkus: What are the differences?

Key Differences between Kubernetes and Quarkus

Kubernetes and Quarkus are both popular technologies used in the field of cloud computing, but they have distinct differences that set them apart. Here are the key differences between Kubernetes and Quarkus:

Scalability: Kubernetes is a container orchestration platform that allows for the management and scaling of containers across a cluster of machines. It provides features like auto-scaling, load balancing, and self-healing, which enable applications to handle high demand and traffic efficiently. On the other hand, Quarkus is a framework for building Java applications specifically optimized for cloud-native architectures. While it allows for scalability by leveraging containerization, it does not provide the same level of scalability features as Kubernetes.
Infrastructure Management: Kubernetes focuses on managing the infrastructure and abstracting away the underlying infrastructure layer, allowing developers to focus on deploying and managing applications. It provides features like container orchestration, networking, storage, and scheduling. Quarkus, on the other hand, is primarily a development framework focused on improving developer productivity and reducing startup time for Java applications. It does not provide the same level of infrastructure management capabilities as Kubernetes.
Application Development: Kubernetes is agnostic to programming languages and can be used to deploy and manage applications written in various languages. It allows developers to define the desired state of their application using YAML files and handles the deployment, scaling, and monitoring of the application. Quarkus, on the other hand, is a Java-focused framework that provides extensions and tools to simplify the development of Java applications. It is specifically optimized for building cloud-native and serverless applications.
Deployment Flexibility: Kubernetes provides a highly flexible and declarative approach to deploying applications. It allows for both stateless and stateful applications and provides various deployment options like rolling updates, blue/green deployments, and canary deployments. Quarkus is primarily focused on building microservices-based applications and is optimized for cloud-native deployment patterns. It provides a lightweight and reactive programming model that enables fast startup time and low memory consumption.
Community and Ecosystem: Kubernetes has a large and active open-source community, with a wide ecosystem of tools and plugins built around it. It has become the de facto standard for container orchestration and has extensive documentation, tutorials, and resources available. Quarkus, although relatively newer compared to Kubernetes, is also gaining popularity and has a growing community. However, its ecosystem is not as mature as Kubernetes, and the available libraries and extensions may be more limited compared to the Java ecosystem as a whole.
Use Case Focus: Kubernetes is a general-purpose container orchestration platform that can be used for a wide range of use cases, from running simple microservices to complex distributed systems. It is designed to handle the needs of large-scale deployments and supports a high level of customization and integrations. Quarkus, on the other hand, is primarily focused on providing a platform for building lightweight and efficient Java applications for cloud-native environments. It is suitable for use cases where fast startup time, low memory consumption, and efficient resource utilization are critical factors.

In summary, Kubernetes is a powerful container orchestration platform designed for managing and scaling containerized applications across a cluster of machines, while Quarkus is a Java-focused framework optimized for building cloud-native and serverless applications with a focus on lightweightness and developer productivity improvement.

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Advice on Kubernetes, Quarkus

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

Decidedon

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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.

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Detailed Comparison

Kubernetes	Quarkus
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 tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.
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	CONTAINER FIRST; UNIFIES IMPERATIVE AND REACTIVE; BEST OF BREED LIBRARIES AND STANDARDS
Statistics
GitHub Stars -	GitHub Stars 15.2K
GitHub Forks -	GitHub Forks 3.0K
Stacks 61.2K	Stacks 311
Followers 52.8K	Followers 382
Votes 685	Votes 80
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 13 Fast startup 13 Open source 11 Produce native code 11 Low memory footprint 10 Integrated with GraalVM Cons 2 Boilerplate code when using Reflection
Integrations
Vagrant Docker Rackspace Cloud Servers Microsoft Azure Google Compute Engine Ansible Google Kubernetes Engine	Apache Camel Hibernate Netty

What are some alternatives to Kubernetes, Quarkus?

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.

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

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.

Related Comparisons

Kubernetes vs Quarkus: What are the differences?

Key Differences between Kubernetes and Quarkus

Scalability: Kubernetes is a container orchestration platform that allows for the management and scaling of containers across a cluster of machines. It provides features like auto-scaling, load balancing, and self-healing, which enable applications to handle high demand and traffic efficiently. On the other hand, Quarkus is a framework for building Java applications specifically optimized for cloud-native architectures. While it allows for scalability by leveraging containerization, it does not provide the same level of scalability features as Kubernetes.
Infrastructure Management: Kubernetes focuses on managing the infrastructure and abstracting away the underlying infrastructure layer, allowing developers to focus on deploying and managing applications. It provides features like container orchestration, networking, storage, and scheduling. Quarkus, on the other hand, is primarily a development framework focused on improving developer productivity and reducing startup time for Java applications. It does not provide the same level of infrastructure management capabilities as Kubernetes.
Application Development: Kubernetes is agnostic to programming languages and can be used to deploy and manage applications written in various languages. It allows developers to define the desired state of their application using YAML files and handles the deployment, scaling, and monitoring of the application. Quarkus, on the other hand, is a Java-focused framework that provides extensions and tools to simplify the development of Java applications. It is specifically optimized for building cloud-native and serverless applications.
Deployment Flexibility: Kubernetes provides a highly flexible and declarative approach to deploying applications. It allows for both stateless and stateful applications and provides various deployment options like rolling updates, blue/green deployments, and canary deployments. Quarkus is primarily focused on building microservices-based applications and is optimized for cloud-native deployment patterns. It provides a lightweight and reactive programming model that enables fast startup time and low memory consumption.
Community and Ecosystem: Kubernetes has a large and active open-source community, with a wide ecosystem of tools and plugins built around it. It has become the de facto standard for container orchestration and has extensive documentation, tutorials, and resources available. Quarkus, although relatively newer compared to Kubernetes, is also gaining popularity and has a growing community. However, its ecosystem is not as mature as Kubernetes, and the available libraries and extensions may be more limited compared to the Java ecosystem as a whole.
Use Case Focus: Kubernetes is a general-purpose container orchestration platform that can be used for a wide range of use cases, from running simple microservices to complex distributed systems. It is designed to handle the needs of large-scale deployments and supports a high level of customization and integrations. Quarkus, on the other hand, is primarily focused on providing a platform for building lightweight and efficient Java applications for cloud-native environments. It is suitable for use cases where fast startup time, low memory consumption, and efficient resource utilization are critical factors.

Kubernetes vs Quarkus

Overview

Kubernetes vs Quarkus: What are the differences?