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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cluster Management
  5. Apache Mesos vs Eureka

Apache Mesos vs Eureka

OverviewComparisonAlternatives

Overview

Apache Mesos
Apache Mesos
Stacks306
Followers418
Votes31
GitHub Stars5.3K
Forks1.7K
Eureka
Eureka
Stacks291
Followers779
Votes70
GitHub Stars12.7K
Forks3.8K

Eureka vs Apache Mesos: 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 Apache Mesos? Develop and run resource-efficient distributed systems. Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

Eureka can be classified as a tool in the "Open Source Service Discovery" category, while Apache Mesos is grouped under "Cluster Management".

"Easy setup and integration with spring-cloud " is the top reason why over 15 developers like Eureka, while over 19 developers mention "Easy scaling" as the leading cause for choosing Apache Mesos.

Eureka is an open source tool with 7.98K GitHub stars and 2.2K GitHub forks. Here's a link to Eureka's open source repository on GitHub.

Airbnb, Netflix, and Twitter are some of the popular companies that use Apache Mesos, whereas Eureka is used by Notify-e, Swingvy, and LabNetwork. Apache Mesos has a broader approval, being mentioned in 61 company stacks & 19 developers stacks; compared to Eureka, which is listed in 7 company stacks and 14 developer stacks.

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Detailed Comparison

Apache Mesos
Apache Mesos
Eureka
Eureka

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

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.

Fault-tolerant replicated master using ZooKeeper;Scalability to 10,000s of nodes;Isolation between tasks with Linux Containers;Multi-resource scheduling (memory and CPU aware);Java, Python and C++ APIs for developing new parallel applications;Web UI for viewing cluster state
-
Statistics
GitHub Stars
5.3K
GitHub Stars
12.7K
GitHub Forks
1.7K
GitHub Forks
3.8K
Stacks
306
Stacks
291
Followers
418
Followers
779
Votes
31
Votes
70
Pros & Cons
Pros
  • 21
    Easy scaling
  • 6
    Web UI
  • 2
    Fault-Tolerant
  • 1
    Elastic Distributed System
  • 1
    High-Available
Cons
  • 1
    Depends on Zookeeper
  • 1
    Not for long term
Pros
  • 21
    Easy setup and integration with spring-cloud
  • 9
    Web ui
  • 8
    Health checking
  • 8
    Monitoring
  • 7
    Circuit breaker
Cons
  • 1
    Nada
Integrations
Apache Aurora
Apache Aurora
Amazon EC2
Amazon EC2

What are some alternatives to Apache Mesos, Eureka?

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.

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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