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  1. Stackups
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  4. Service Discovery
  5. Eureka vs Nomad

Eureka vs Nomad

OverviewComparisonAlternatives

Overview

Eureka
Eureka
Stacks291
Followers779
Votes70
GitHub Stars12.7K
Forks3.8K
Nomad
Nomad
Stacks256
Followers344
Votes32
GitHub Stars15.9K
Forks2.0K

Eureka vs Nomad: What are the differences?

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.

What is Nomad? A cluster manager and scheduler. 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.

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

Eureka and Nomad are both open source tools. It seems that Eureka with 7.88K GitHub stars and 2.16K forks on GitHub has more adoption than Nomad with 4.86K GitHub stars and 882 GitHub forks.

CircleCI, LendUp, and Wealthsimple are some of the popular companies that use Nomad, whereas Eureka is used by Notify-e, Swingvy, and LabNetwork. Nomad has a broader approval, being mentioned in 21 company stacks & 3 developers stacks; compared to Eureka, which is listed in 7 company stacks and 14 developer stacks.

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Detailed Comparison

Eureka
Eureka
Nomad
Nomad

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.

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.

-
Handles the scheduling and upgrading of the applications over time; With built-in dry-run execution, Nomad shows what scheduling decisions it will take before it takes them. Operators can approve or deny these changes to create a safe and reproducible workflow; Nomad runs applications and ensures they keep running in failure scenarios. In addition to long-running services, Nomad can schedule batch jobs, distributed cron jobs, and parameterized jobs; Stream logs, send signals, and interact with the file system of scheduled applications. These operator-friendly commands bring the familiar debugging tools to a scheduled world
Statistics
GitHub Stars
12.7K
GitHub Stars
15.9K
GitHub Forks
3.8K
GitHub Forks
2.0K
Stacks
291
Stacks
256
Followers
779
Followers
344
Votes
70
Votes
32
Pros & Cons
Pros
  • 21
    Easy setup and integration with spring-cloud
  • 9
    Web ui
  • 8
    Health checking
  • 8
    Monitoring
  • 7
    Circuit breaker
Cons
  • 1
    Nada
Pros
  • 7
    Built in Consul integration
  • 6
    Easy setup
  • 4
    Bult-in Vault integration
  • 3
    Built-in federation support
  • 2
    Self-healing
Cons
  • 3
    Easy to start with
  • 1
    Small comunity
  • 1
    HCL language for configuration, an unpopular DSL
Integrations
Amazon EC2
Amazon EC2
Consul
Consul
Docker
Docker
Vault
Vault

What are some alternatives to Eureka, Nomad?

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.

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.

DC/OS

DC/OS

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

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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