# Janitor Process

# Overview

The Janitor is a Docker container that manages the lifecycle of archived persistence files generated by the Nekuti Matching Engine. It handles the compression, archival, and lifecycle management of command files and snapshots once they have been moved to the archive directory by the Snapshotter.

# Purpose

The Janitor serves three primary functions:

Deep Storage Archival: Compresses and transfers archived files to long-term storage
Snapshot Pruning: Retains only complete, necessary snapshots for long-term storage efficiency
Storage Optimization: Manages disk usage across persistence and deep storage volumes

# Architecture

# File Flow

flowchart TD
    A[Engine] --> B[/Engine Persistence Directory/]
    B --> C[Snapshotter]
    C --> D[/Engine Persistence Archive Directory/]
    D --> E[Janitor]
    E --> F[/Deep Storage/]
    
    style B fill:#cfe,stroke:#333
    style D fill:#cfe,stroke:#333
    style F fill:#cfe,stroke:#333

# Volume Requirements

The Janitor requires access to two mounted volumes:

Volume	Mount Point	Purpose	Volume Attributes
Engine Persistence	`/app/persistence`	Access to archive directory which is written to by the engine	Lowest possible latency
Deep Storage	`/app/deep_storage`	Long-term compressed storage, required for engine state recovery or audit purposes	Sufficient capacity, Reliable

# Core Operations

# Deep Storage Archival

# Command Files

Trigger: Upon completion of file write by the engine to the archive directory
Process: Compressed to ZIP format and written to Deep Storage
Retention: All command files are preserved indefinitely in Deep Storage
Cleanup: Original file removed after successful archival to Deep Storage

# Snapshots

Trigger: Upon completion of file write by the engine to archive directory
Process: Compressed to ZIP format and written to Deep Storage
Retention: Snapshot preservation in Deep Storage is subject to pruning policy
Cleanup: Original directory removed after successful archival to Deep Storage

# Snapshot Pruning Strategy

The Janitor implements a tiered retention policy for snapshots:

# Command File Retention Policy

Command files are retained indefinitely

# Snapshot Retention Policies

Do Not Prune (default for docker image deployments): All snapshots are retained indefinitely
Command Span: Retains at least 1 snapshot per 1 million commands

# Configuration

# Docker Deployment

  janitor:
    user: $PUID:$PGID
    image: janitor:current
    restart: unless-stopped
    volumes:
      - $ENGINE_PERSISTENCE_DIRECTORY:/app/persistence
      - $DEEP_STORAGE_DIR:/app/deep_storage
    container_name: janitor

# Storage Planning

# Deep Storage Requirements

# Compression Ratios

Command Files: Typically compress to 60-70% of original size
Snapshots: Compression varies by content (70-90% of original)

# Capacity Planning

To assist with capacity planning, the following table describes typical capacity requirements for Engine Persistence and Deep Storage volumes. The requirements serve as an indication only and will vary depending on engine usage.

Daily Engine Usage	Engine Persistence	Deep Storage (per day)
Minimum operational footprint	~300 MB	~200 Mb compressed
+100,000 orders	+50 MB	+30 MB compressed
+1,000,000 orders	+500 MB	+300 MB compressed
+10,000,000 orders	+5 GB	+3 GB compressed

# Operational Considerations

# Monitoring

# Health Checks

Engine Persistence Archive directory usage: Monitor usage of the archive directory on the Engine Persistence volume. In case files are accumulating there, check the health of the janitor
Deep storage utilization: Ensure deep storage has sufficient capacity. Failure of the janitor process risks causing causing engine failure due to lack of storage space on the Engine Persistence volume

# Recovery Scenarios

# Partial Archive Loss

Command Files: No recovery possible - commands are authoritative
Snapshots: Can be regenerated from command files
Compressed Archives: Verify integrity before deletion of originals

# Deep Storage Connectivity Issues

Janitor will pause until connectivity to the Deep Storage volume is restored
The Engine Persistence archive directory may accumulate files during outages
Ensure Disk usage on both Engine Persistence and Deep Storage is monitored

# Backup Strategies

# Deep Storage Backup

Data persisted into the Deep Storage volume is essential for the recovery of engine state. Therefore, it is necessary to consider strategies to manage potential disaster scenarios:

Consider the implementation of backups of Deep Storage volumes
Consider geographic distribution of Deep Storage backups

# Capacity Management

Monitoring: Set utilization threshold alerts
Growth Planning: Project storage needs based on trading volume