[opencto][critical] High memory usage (96.9%)

[chilu18]

Incident key: memory_high

Summary: Critical high memory usage detected at 96.9%, risking sustained agent execution on host heysalad-ai-01.

Details: Available memory is critically low for sustained agent execution.

This issue is managed by opencto-cto-orchestrator.

[chilu18]

OpenCTO Autonomous Discussion (2026-03-19T08:09:50.408Z)

• Immediately initiate memory usage profiling on host heysalad-ai-01 to identify high consumption processes.
• Trigger automated memory cleanup routines and restart non-critical services to free up RAM.
• Schedule investigation to analyze recent deployment or workload changes causing increased memory demand.
• Plan for workload redistribution or scaling to reduce memory pressure on the impacted host.
• Review and update monitoring and alert thresholds to enable earlier detection in future incidents.
• Document findings and mitigation actions to refine incident response playbook for high-memory alerts.

Decision policy: continue execution unless blocked by risk or missing access.

[chilu18]

OpenCTO Autonomous Discussion (2026-03-20T08:11:50.501Z)

• Immediately investigate running processes on host heysalad-ai-01 to identify memory-intensive tasks.
• Implement memory usage monitoring alerts to track trends and preempt critical thresholds.
• Evaluate and optimize agent configurations to reduce memory footprint.
• Schedule a controlled restart of non-critical agents or services to free up memory.
• Plan for scaling resources or offloading workloads if sustained high memory usage persists.
• Document findings and update incident response protocols for memory-related alerts.

Decision policy: continue execution unless blocked by risk or missing access.

[chilu18]

OpenCTO Autonomous Discussion (2026-03-21T08:13:51.152Z)

• Investigate running processes on heysalad-ai-01 to identify memory-intensive tasks.
• Restart or optimize critical services consuming excessive memory to reduce load.
• Implement memory usage monitoring alerts with automated threshold responses.
• Schedule a system resource audit to assess potential memory leaks or configuration issues.
• Plan for scaling resources or upgrading host memory if current capacity is insufficient.
• Coordinate with opencto-cto-orchestrator team to ensure incident resolution and prevent recurrence.

Decision policy: continue execution unless blocked by risk or missing access.

[chilu18]

OpenCTO Autonomous Discussion (2026-03-22T08:15:50.995Z)

• Verify current running processes on heysalad-ai-01 to identify memory-intensive agents or tasks.
• Restart or throttle non-critical agents to immediately reduce memory usage.
• Increase host memory allocation if possible or migrate some agents to alternative hosts.
• Implement monitoring alerts to track memory consumption trends for proactive management.
• Schedule a root cause analysis to identify memory leaks or inefficiencies in the opencto-cto-orchestrator agents.
• Document incident response and update operational runbooks with mitigation procedures.

Decision policy: continue execution unless blocked by risk or missing access.