Command Schedulers

Dkron – distributed job scheduling system for cloud native environments

Dkron is a distributed job scheduling system for cloud native environments.

It acts as a cron replacement that runs scheduled jobs across clusters of servers, using leader failover and distributed coordination to avoid single points of failure. The software is built to scale from small deployments to large clusters and is suited to automating recurring workloads across multiple machines.

This is free and open source software.

Key Features

  • Includes a web UI for creating and editing jobs, viewing execution history and logs, monitoring cluster status, and running jobs manually.
  • Provides a REST API together with executor and processor plugin support for integrating scheduled workloads into existing systems.
  • Uses tag-based node selection so jobs can target matching nodes or groups of nodes.
  • Supports retries, job dependencies, chained execution, and concurrency controls for more complex workflows.

Website: https://github.com/dkron-io/dkron
Support:
Developer: Distributed Works
License: GNU Lesser General Public License v3.0

Dkron is written in Go. Learn Go with our recommended free books and free tutorials.


Related Software

Alternatives to cron
cronieModern day version of cron and associated tools
fcronDesigned for systems which are not continuously running or regularly
CronicleMulti-server task scheduler and runner
systemdSuite of basic building blocks for a Linux system
SupercronicCrontab-compatible job runner designed for container environments
OfeliaLow-footprint job scheduler for Docker environments
DkronDistributed job scheduling system for cloud native environments
mcron100% compatible replacement for Vixie cron
DaguLightweight workflow orchestration engine
anacronDesigned for systems which are not continuously running
JobberRun commands to a schedule
bcronDesigned with secure operations in mind
ChadburnModern job scheduler for Docker environments
runcronMinimal cron alternative for automated and container-friendly environments

Read our verdict in the software roundup.


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