Need advice about which tool to choose?Ask the StackShare community!

Kubernetes

59.9K
51.8K
+ 1
681
Quarkus

307
379
+ 1
79
Add tool

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:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

Decisions about Kubernetes and Quarkus
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.2M views

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.
See more
Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Kubernetes
Pros of Quarkus
  • 166
    Leading docker container management solution
  • 129
    Simple and powerful
  • 107
    Open source
  • 76
    Backed by google
  • 58
    The right abstractions
  • 25
    Scale services
  • 20
    Replication controller
  • 11
    Permission managment
  • 9
    Supports autoscaling
  • 8
    Simple
  • 8
    Cheap
  • 6
    Self-healing
  • 5
    Open, powerful, stable
  • 5
    Reliable
  • 5
    No cloud platform lock-in
  • 5
    Promotes modern/good infrascture practice
  • 4
    Scalable
  • 4
    Quick cloud setup
  • 3
    Custom and extensibility
  • 3
    Captain of Container Ship
  • 3
    Cloud Agnostic
  • 3
    Backed by Red Hat
  • 3
    Runs on azure
  • 3
    A self healing environment with rich metadata
  • 2
    Everything of CaaS
  • 2
    Gke
  • 2
    Golang
  • 2
    Easy setup
  • 2
    Expandable
  • 2
    Sfg
  • 13
    Fast startup
  • 13
    Open source
  • 11
    Low memory footprint
  • 10
    Integrated with GraalVM
  • 10
    Produce native code
  • 9
    Hot Reload
  • 7
    AOT compilation
  • 6
    Reactive

Sign up to add or upvote prosMake informed product decisions

Cons of Kubernetes
Cons of Quarkus
  • 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
  • 1
    Additional vendor lock-in (Docker)
  • 1
    More moving parts to secure
  • 1
    Additional Technology Overhead
  • 2
    Boilerplate code when using Reflection

Sign up to add or upvote consMake informed product decisions

- No public GitHub repository available -

What is 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.

What is Quarkus?

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.

Need advice about which tool to choose?Ask the StackShare community!

What companies use Kubernetes?
What companies use Quarkus?
Manage your open source components, licenses, and vulnerabilities
Learn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Kubernetes?
What tools integrate with Quarkus?

Sign up to get full access to all the tool integrationsMake informed product decisions

Blog Posts

Kubernetesetcd+2
3
1194
Dec 8 2020 at 5:50PM

DigitalOcean

GitHubMySQLPostgreSQL+11
3
2443
PythonDockerKubernetes+7
5
1156
May 21 2020 at 12:02AM

Rancher Labs

KubernetesAmazon EC2Grafana+12
6
1533
Apr 16 2020 at 5:34AM

Rancher Labs

KubernetesRancher+2
3
973
What are some alternatives to Kubernetes and Quarkus?
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.
Nomad
Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.
OpenStack
OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface.
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.
See all alternatives