Resolved Disk Space and Service Issues in Jupyter and RunPod

• Day: 2026-01-24
• Time: 06:50 to 08:10
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Jupyter, Runpod, Troubleshooting, Service Management

Description

Session Goal

The session aimed to resolve critical disk space issues in Jupyter and troubleshoot service readiness problems in RunPod, ensuring seamless operation of the ipykernel and A1111 services.

Key Activities

• Jupyter Disk Space Issues: Steps were outlined to diagnose and clean temporary directories, restoring ipykernel functionality.
• RunPod A1111 Troubleshooting: A detailed guide was followed to identify and kill stuck processes, verify directories, and restart the A1111 application.
• Service Readiness in RunPod: Adjustments were made to API binding and health check configurations to resolve ‘Service not ready’ errors.

Achievements

• Successfully resolved disk space issues in Jupyter, enabling ipykernel operation.
• Restarted and ensured the readiness of the A1111 service on RunPod.
• Improved API and health check configurations for better service management.

Pending Tasks

• Monitor the disk space and service readiness regularly to prevent future issues.
• Further optimize the API configurations for enhanced performance.

Evidence

• source_file=2026-01-24.sessions.jsonl, line_number=0, event_count=0, session_id=9449730f4ec6843652fb93f9ed6e1e37b7a195749d395710d23bb41fc583b453
• event_ids: []