distribworks/dkron
Dkron
dkron is a distributed cron service and high availability task scheduler designed to execute scheduled commands across a cluster of servers. It functions as a scalable replacement for traditional cron by synchronizing task execution across multiple nodes to eliminate single points of failure.
The system ensures fault tolerant task automation and high availability cron management through a distributed architecture. It utilizes a replicated state machine and consensus to maintain synchronized job schedules and provides automatic failover and redundancy.
The platform covers distributed job scheduling and cluster capacity scaling, allowing for the addition of server instances to handle increasing volumes of scheduled background jobs. Node availability is tracked through heartbeat monitoring to trigger the rescheduling of jobs upon member failure.
Features
- Distributed Job Schedulers - Provides a fault-tolerant system for executing scheduled commands across a cluster of worker nodes.
- Distributed Implementations - Acts as a scalable, distributed replacement for traditional cron by synchronizing execution across multiple nodes.
- Fault-Tolerant Coordinators - Ensures task continuity through quorum-based consensus and automatic failover when nodes go offline.
- Distributed Leader Election - Uses a distributed leader election process to centralize job coordination on a single active node.
- High-Availability Task Schedulers - Ensures high availability of scheduled jobs through horizontal scaling and automatic failover redundancy.
- Cron Job Automation - Automates periodic system tasks using a distributed cron-style scheduling mechanism.
- Raft Consensus Implementations - Utilizes the Raft consensus protocol to maintain a consistent and synchronized distributed state of job schedules.
- Time-Ordered Event Queues - Executes scheduled commands using a time-ordered queue of synchronized events across the cluster.
- Capacity Scaling - Supports increasing the number of nodes in the cluster to handle higher volumes of background jobs.
- Horizontal Scaling Job Schedulers - Allows adding more server instances to a distributed group to increase capacity for scheduled tasks.
- Heartbeat Monitors - Tracks node availability through periodic heartbeat signals to trigger automatic job rescheduling.
- Cluster State Coordinators - Maintains a consistent view of node memberships and job assignments using a replicated key-value store.
- Distributed State Machines - Implements a replicated log to synchronize scheduling data across nodes for fault tolerance and consistency.
- Distributed Messaging - Distributed system for fault-tolerant job scheduling.
- Task Scheduling and Queues - Distributed task scheduling system.
Star history
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