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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cluster Management
  5. Dkron vs Nomad

Dkron vs Nomad

OverviewComparisonAlternatives

Overview

Nomad
Nomad
Stacks256
Followers344
Votes32
GitHub Stars15.9K
Forks2.0K
Dkron
Dkron
Stacks9
Followers28
Votes0

Dkron vs Nomad: What are the differences?

# Introduction

Here we will discuss the key differences between Dkron and Nomad.

1. **Architecture**: Dkron is a distributed job scheduling system that runs on top of the distributed key-value store, while Nomad is a cluster manager and scheduler. Dkron primarily focuses on scheduling jobs at specified intervals, while Nomad is a general-purpose scheduler for various types of workloads.
   
2. **Supported Workloads**: Dkron is specifically designed for running scheduled jobs like cron tasks, data pipelines, and recurring tasks, while Nomad supports a broader range of workloads including containerized jobs, VMs, and standalone binaries. Nomad is more versatile in terms of workload types it can manage compared to Dkron.
   
3. **Scaling Capability**: Dkron is more suitable for small to medium-scale deployments as it lacks some of the advanced features for large-scale job management and orchestration. On the other hand, Nomad is designed to scale horizontally and handle large-scale deployments efficiently.
   
4. **Community Support**: Dkron has a smaller but growing community compared to Nomad, which is a project maintained by HashiCorp, a company known for its popular infrastructure automation tools like Terraform and Vault. Nomad benefits from a larger community, resulting in more resources, documentation, and community support.
   
5. **Third-party Integrations**: Nomad has extensive integrations with other HashiCorp products like Consul, Vault, and Terraform, allowing for seamless integration and workflow automation. Dkron, while having some integrations, may not offer the same level of interoperability with a wide range of third-party tools and services.
   
6. **Use Cases**: Dkron is well-suited for scenarios that involve recurring, scheduled, or batch jobs that require timely execution, while Nomad is ideal for scenarios where a diverse set of workloads needs to be orchestrated across a cluster, including containerized applications, batch processing, and long-running services.

# Summary

In summary, Dkron is more focused on job scheduling for specific use cases, while Nomad offers a broader range of capabilities for managing diverse workloads in a cluster environment.

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Detailed Comparison

Nomad
Nomad
Dkron
Dkron

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.

Dkron is a system service that runs scheduled jobs at given intervals or times, just like the cron unix service but distributed in several machines in a cluster. If a machine fails (the leader), a follower will take over and keep running the scheduled jobs without human intervention.

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
Executor plugins; Processor plugins; Web UI; Rest API; Job retries; Job chaining; Concurrency control; Historial Metrics; Docker executor; AWS ECS executor; Elasticsearch processor; Advanced Email processor; Embedded storage engine (etcd); Encryption; Web UI Authorization; API Authorization; Dedicated Support
Statistics
GitHub Stars
15.9K
GitHub Stars
-
GitHub Forks
2.0K
GitHub Forks
-
Stacks
256
Stacks
9
Followers
344
Followers
28
Votes
32
Votes
0
Pros & Cons
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
    HCL language for configuration, an unpopular DSL
  • 1
    Small comunity
No community feedback yet
Integrations
Consul
Consul
Docker
Docker
Vault
Vault
No integrations available

What are some alternatives to Nomad, Dkron?

AWS Lambda

AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

Azure Functions

Azure Functions

Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

Google Cloud Run

Google Cloud Run

A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

Apache Mesos

Apache Mesos

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

Serverless

Serverless

Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.

Google Cloud Functions

Google Cloud Functions

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

Knative

Knative

Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center

OpenFaaS

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

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.

Nuclio

Nuclio

nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.

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