A distributed, fault tolerant scheduler database that can potentially scale to millions of jobs.

The idea is to build it with a storage layer based on B+tree implementation, distributed hash table for load balancing, and raft for consensus.

• Purpose
• Architecture • Components of a node • Also read
• Developer APIs • Job APIs • Route APIs
• TODO

# Build 
❯ go build

# Clean and create 5 data folders
❯ ./scripts/clean-create.sh 5

# Spawn 5 instances
❯ ./scripts/spawn.sh 5 true

# Create a cluster
❯ ./scripts/join.sh 5

# Check status
❯ ./scripts/status.sh 5

Checkout the detailed guide

You can find the roadmap here

Time machine is built on

• BBoltDB
• Raft
• Distributed hash table
• GRPC

For more details checkout our Tech stack

• Choose a component to work on.
• Research the component thoroughly.
• Reach out to me, so that I can mark it as "Work in Progress" to prevent duplication of efforts.
• Build, code, and test the component.
• Submit a pull request (PR) when you are ready to have your changes reviewed.

Refer Contributing for more