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  1. Stackups
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  5. Eureka vs Kubernetes

Eureka vs Kubernetes

OverviewDecisionsComparisonAlternatives

Overview

Kubernetes
Kubernetes
Stacks61.2K
Followers52.8K
Votes685
Eureka
Eureka
Stacks291
Followers779
Votes70
GitHub Stars12.7K
Forks3.8K

Eureka vs Kubernetes: What are the differences?

Eureka and Kubernetes are used for managing containerized applications and providing service discovery within a distributed system. Let's explore the key differences between Eureka and Kubernetes:

  1. Architecture: Eureka is a service discovery tool following a client-server model, enabling services to register and discover each other using a central Eureka server. Kubernetes, on the other hand, is a container orchestration platform with a master-worker architecture, managing the deployment and networking of containerized applications.

  2. Scalability and Management: Eureka scales by adding more server instances, providing load balancing and failover mechanisms. Kubernetes offers advanced scalability, dynamically scaling applications and distributing workloads across nodes. It also ensures self-healing capabilities for fault tolerance.

  3. Containerization Support: Eureka is not inherently tied to containerization and can be used with any application, regardless of whether it is containerized or not. It primarily focuses on service registration, discovery, and load balancing. Kubernetes, on the other hand, is specifically designed for managing containerized applications. It provides features for deploying, scaling, and updating container instances, along with networking and storage management capabilities specific to containers.

  4. Multi-Cloud and Hybrid Cloud Support: Eureka is cloud-agnostic and can be deployed in various environments, including on-premises, public clouds, or hybrid setups. Kubernetes supports multi-cloud and hybrid cloud deployments, providing consistent application runtime across different cloud providers or on-premises infrastructure.

  5. Ecosystem and Integrations: Eureka, being part of the Netflix OSS suite, integrates well with other Netflix components and tools, such as Ribbon for client-side load balancing and Hystrix for fault tolerance. It has a lightweight footprint and is often used alongside other microservices frameworks and libraries. Kubernetes, on the other hand, has a rich ecosystem and wide adoption within the containerization community. It offers a comprehensive set of features for managing containerized applications, including networking, storage, monitoring, and logging. It integrates with various container runtimes, such as Docker, and has extensive support for declarative configuration and deployment management.

In summary, Eureka and Kubernetes are both widely used solutions for managing distributed systems and service discovery. Eureka focuses on service registration and discovery in microservices architectures, while Kubernetes provides a comprehensive container orchestration platform with advanced scalability and management features.

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Advice on Kubernetes, Eureka

Simon
Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

DecidedonGitHubGitHubGitHub PagesGitHub PagesMarkdownMarkdown

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
Kubernetes
Eureka
Eureka

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.

Eureka is a REST (Representational State Transfer) based service that is primarily used in the AWS cloud for locating services for the purpose of load balancing and failover of middle-tier servers.

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
-
Statistics
GitHub Stars
-
GitHub Stars
12.7K
GitHub Forks
-
GitHub Forks
3.8K
Stacks
61.2K
Stacks
291
Followers
52.8K
Followers
779
Votes
685
Votes
70
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
  • 21
    Easy setup and integration with spring-cloud
  • 9
    Web ui
  • 8
    Monitoring
  • 8
    Health checking
  • 7
    Circuit breaker
Cons
  • 1
    Nada
Integrations
Vagrant
Vagrant
Docker
Docker
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Google Compute Engine
Google Compute Engine
Ansible
Ansible
Google Kubernetes Engine
Google Kubernetes Engine
Amazon EC2
Amazon EC2

What are some alternatives to Kubernetes, Eureka?

Rancher

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

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

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

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.

Consul

Consul

Consul is a tool for service discovery and configuration. Consul is distributed, highly available, and extremely scalable.

Portainer

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

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.

Zookeeper

Zookeeper

A centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications.

etcd

etcd

etcd is a distributed key value store that provides a reliable way to store data across a cluster of machines. It’s open-source and available on GitHub. etcd gracefully handles master elections during network partitions and will tolerate machine failure, including the master.

CAST.AI

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.

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