Pod View the child processes of PID 1 1 ps --ppid 1 -f View TIME_WAIT connections 1 netstat -anp | grep TIME_WAIT Istio Ingress 1 kubectl -n istio-ingress logs -l app=istio-ingress |grep vlm-tag-v1 EastWestGateway 1 kubectl -n istio-ingress logs -l app=istio-eastwestgateway |grep vlm-tag-v1 Slow XDS Push 1 2 3 4 5 histogram_quantile(0.

Handling an Elasticsearch Index in the Red State GET _cat/shards?v=true&h=index,shard,prirep,state,node,unassigned.reason&s=state 1 2 ops-pod-loggie-2026.06.11 0 p UNASSIGNED NODE_LEFT ops-pod-loggie-2026.06.11 0 r UNASSIGNED ALLOCATION_FAILED Try to reallocate. 1 POST _cluster/reroute?retry_failed=true Or delete it outright. 1 DELETE ops-pod-loggie-2026.06.11 Scheduled Index Cleanup Keep all indexes for only 7 days. Create an ILM policy 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 PUT _ilm/policy/ops-delete-after-7d { "policy": { "phases": { "hot": { "actions": {} }, "delete": { "min_age": "7d", "actions": { "delete": {} } } } } } Create an index template 1 2 3 4 5 6 7 8 9 10 PUT _index_template/ops-delete-after-7d { "index_patterns": ["*", "-.

1. Production Cases Cleaning up a node Restarting a node Deleting an abnormal Pod Inspecting the cluster 2. Two Steps to Get Configured Step one: configure MCP. Hand this configuration to OpenClaw and it will set it up for you. 1 2 3 4 5 6 7 8 { "mcpServers": { "ops-mcp-server": { "baseUrl": "http://ops-mcp-server/mcp", "headers": { "Authorization": "Bearer xxx" } } } } Step two: install skills.

1. Interface Path Differences Between cgroup v1 and v2 v1 1 2 3 4 /sys/fs/cgroup/cpu/cpu.cfs_quota_us /sys/fs/cgroup/cpu/cpuacct.usage /sys/fs/cgroup/memory/memory.limit_in_bytes /sys/fs/cgroup/memory/memory.usage_in_bytes v2 1 2 3 4 /sys/fs/cgroup/cpu.max /sys/fs/cgroup/cpu.stat /sys/fs/cgroup/memory.max /sys/fs/cgroup/memory.current cgroup v2 is the upgraded version of v1, with advantages such as more unified resource hierarchy management and precise resource isolation. But it also means that when writing code, the paths for reading the relevant interface files are different, so compatibility handling is required.

1. What DCGM Is DCGM (Data Center GPU Manager) is a toolset NVIDIA provides for managing and monitoring GPUs in the data center. It offers the following capabilities: GPU behavior monitoring GPU configuration management GPU policy supervision GPU health and diagnostics GPU accounting and process statistics NVSwitch configuration and monitoring