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  1. Stackups
  2. Utilities
  3. API Tools
  4. Service Discovery
  5. DC/OS vs Eureka

DC/OS vs Eureka

OverviewComparisonAlternatives

Overview

Eureka
Eureka
Stacks291
Followers779
Votes70
GitHub Stars12.7K
Forks3.8K
DC/OS
DC/OS
Stacks109
Followers180
Votes12
GitHub Stars2.4K
Forks488

DC/OS vs Eureka: What are the differences?

What is DC/OS? The Datacenter Operating System. The easiest way to run microservices, big data, and containers in production. Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.

What is Eureka? AWS Service registry for resilient mid-tier load balancing and failover. 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.

DC/OS belongs to "Cluster Management" category of the tech stack, while Eureka can be primarily classified under "Open Source Service Discovery".

"Easy to setup a HA cluster" is the primary reason why developers consider DC/OS over the competitors, whereas "Easy setup and integration with spring-cloud " was stated as the key factor in picking Eureka.

DC/OS and Eureka are both open source tools. Eureka with 7.98K GitHub stars and 2.2K forks on GitHub appears to be more popular than DC/OS with 2.17K GitHub stars and 458 GitHub forks.

Decision6, Astronomer, and Covve are some of the popular companies that use DC/OS, whereas Eureka is used by Notify-e, Swingvy, and LabNetwork. DC/OS has a broader approval, being mentioned in 19 company stacks & 12 developers stacks; compared to Eureka, which is listed in 7 company stacks and 14 developer stacks.

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Detailed Comparison

Eureka
Eureka
DC/OS
DC/OS

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.

Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.

-
High Resource Utilization;Mixed Workload Colocation;Container Orchestration;Resource Isolation;Stateful Storage;Package Repositories;Public Cloud;Private Cloud;On-Premise;Command Line Interface;Web Interface;Elastic Scalability;High Availability;Zero Downtime Upgrades;Service Discovery;Load Balancing;Production-Ready
Statistics
GitHub Stars
12.7K
GitHub Stars
2.4K
GitHub Forks
3.8K
GitHub Forks
488
Stacks
291
Stacks
109
Followers
779
Followers
180
Votes
70
Votes
12
Pros & Cons
Pros
  • 21
    Easy setup and integration with spring-cloud
  • 9
    Web ui
  • 8
    Monitoring
  • 8
    Health checking
  • 7
    Circuit breaker
Cons
  • 1
    Nada
Pros
  • 5
    Easy to setup a HA cluster
  • 3
    Open source
  • 2
    Has templates to install via AWS and Azure
  • 1
    Easy to get services running and operate them
  • 1
    Easy Setup
Integrations
Amazon EC2
Amazon EC2
Apache Mesos
Apache Mesos

What are some alternatives to Eureka, DC/OS?

Consul

Consul

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

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.

Nomad

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.

Apache Mesos

Apache Mesos

Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

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.

Mesosphere

Mesosphere

Mesosphere offers a layer of software that organizes your machines, VMs, and cloud instances and lets applications draw from a single pool of intelligently- and dynamically-allocated resources, increasing efficiency and reducing operational complexity.

Keepalived

Keepalived

The main goal of this project is to provide simple and robust facilities for loadbalancing and high-availability to Linux system and Linux based infrastructures.

Gardener

Gardener

Many Open Source tools exist which help in creating and updating single Kubernetes clusters. However, the more clusters you need the harder it becomes to operate, monitor, manage and keep all of them alive and up-to-date. And that is exactly what project Gardener focuses on.

SkyDNS

SkyDNS

SkyDNS is a distributed service for announcement and discovery of services. It leverages Raft for high-availability and consensus, and utilizes DNS queries to discover available services. This is done by leveraging SRV records in DNS, with special meaning given to subdomains, priorities and weights (more info here: http://blog.gopheracademy.com/skydns).

YARN Hadoop

YARN Hadoop

Its fundamental idea is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM).

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