DC/OS vs Nomad
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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. | Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed 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 | 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 15.9K | GitHub Stars 2.4K |
GitHub Forks 2.0K | GitHub Forks 488 |
Stacks 256 | Stacks 109 |
Followers 344 | Followers 180 |
Votes 32 | Votes 12 |
Pros & Cons | |
Pros
Cons
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Integrations | |
What are some alternatives to Nomad, DC/OS?
Apache Mesos
Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
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.
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.
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).
kops
It helps you create, destroy, upgrade and maintain production-grade, highly available, Kubernetes clusters from the command line. AWS (Amazon Web Services) is currently officially supported, with GCE in beta support , and VMware vSphere in alpha, and other platforms planned.
Apache Aurora
Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
Elastic Apache Mesos
Elastic Apache Mesos is a web service that automates the creation of Apache Mesos clusters on Amazon Elastic Compute Cloud (EC2). It provisions EC2 instances, installs dependencies including Apache ZooKeeper and HDFS, and delivers you a cluster with all the services running.
Peloton
A Unified Resource Scheduler to co-schedule mixed types of workloads such as batch, stateless and stateful jobs in a single cluster for better resource utilization. Designed for web-scale companies with millions of containers and tens of thousands of nodes.
Kocho
Kocho provides a set of mechanisms to bootstrap AWS nodes that must follow a specific configuration with CoreOS. It sets up fleet meta-data, and patched versions of fleet, etcd, and docker when using Yochu.
Warewulf
It is an operating system provisioning platform for Linux that is designed to produce secure, scalable, turnkey cluster deployments that maintain flexibility and simplicity.
