| id | huawei-cloud-cce-metric-analyzer |
| name | huawei-cloud-cce-metric-analyzer |
| description | Huawei Cloud CCE Metric analysis skill using the Python dispatcher with hcloud-backed cloud service queries.
Use this skill when the user wants to: (1) query Pod/Node/CoreDNS/nginx-ingress/autoscaler/control-plane CPU, memory, disk, QPS, latency, request, connection, certificate, scaling, or error-rate metrics, (2) get resource usage TopN rankings, (3) query ECS/ELB/EIP/NAT cloud resource metrics, (4) aggregate cluster monitoring data with anomaly detection, (5) detect threshold-based resource anomalies.
Trigger: user mentions "metric analysis", "指标分析", "CCE metrics", "CCE 指标", "AOM metrics", "AOM 指标", "CoreDNS metrics", "CoreDNS 指标", "nginx ingress metrics", "nginx-ingress 指标", "autoscaler metrics", "autoscaler 指标", "HPA metrics", "HPA 指标", "apiserver metrics", "etcd metrics", "controller manager metrics", "scheduler metrics", "control plane metrics", "控制面指标", "certificate expiration", "证书过期", "resource metrics", "资源指标", "CPU usage", "CPU 使用率", "memory usage", "内存使用率", "performance monitoring", "性能监控", "TopN", "resource ranking", "资源排名"
|
| tags | ["cce","metrics","aom","observability","analysis"] |
Huawei Cloud CCE Metric Analyzer
Overview
Query and analyze metrics for CCE clusters (Pod/Node CPU/memory/disk) and cloud resources (ECS, ELB, EIP, NAT). Supports threshold-based anomaly detection, status classification (critical/warning/normal), and full-cluster monitoring aggregation.
Architecture: python3 scripts/huawei-cloud.py dispatcher → hcloud (KooCLI) cloud service queries + signed AOM Prometheus HTTP queries + limited kubectl reads only when Kubernetes resource relationships are required → Pod/Node metrics, ECS/ELB/EIP/NAT metrics → Threshold classification → Anomaly detection
Execution method: Cloud service queries are executed through the local hcloud CLI. AOM Prometheus query_range calls are the only exception and use signed HTTPS requests because the required Prometheus range-query path is not compatible with hcloud. Do not call Huawei Cloud SDKs, curl IAM flows, openstack, or hand-written cloud APIs outside the bundled dispatcher.
Related Skills: use pod/node diagnosers, Kubernetes event analyzer, capacity/cost skills, or auto-remediation runner for follow-up diagnosis or explicitly requested remediation.
Capabilities:
- Pod CPU/memory TopN ranking and single Pod time-series metrics
- Node CPU/memory/disk TopN ranking and single Node time-series metrics
- Node GPU and xGPU metrics, including GPU utilization, memory, temperature, power, schedule policy, xGPU allocation, usage, and health
- CoreDNS QPS, error rate excluding NXDOMAIN, NXDOMAIN rate, P95 latency, replica count, and per-Pod CPU/memory metrics
- nginx-ingress QPS, 4xx/5xx rate, success rate, P95 latency, active connections, per-Pod CPU/memory, and Ingress TLS certificate expiration status
- Autoscaler unschedulable Pods, node state count, scale-up/down events, errors, node groups, HPA current/desired replicas, and per-Pod CPU/memory metrics
- Kubernetes control-plane metrics for apiserver, etcd, controller-manager, and scheduler
- ECS instance CPU/memory/disk/network metrics
- ELB connection, bandwidth, QPS metrics
- EIP bandwidth, traffic, packet loss metrics
- NAT Gateway SNAT connection metrics
- Full-cluster monitoring aggregation with anomaly detection (80% threshold)
- Threshold-based status classification (critical/warning/normal/unknown)
Typical Use Cases: query Pod/Node TopN, GPU/xGPU, CoreDNS, nginx-ingress, autoscaler, control-plane, ECS/ELB/EIP/NAT metrics, full-cluster aggregation, and threshold-based anomaly detection.
Prerequisites
1. Runtime Dependencies
- Python 3.8+ for the dispatcher and result processing
- hcloud (KooCLI) 7.2.2+ for CCE/ECS/ELB/VPC/EIP/NAT/CES/IAM cloud service queries
kubectl only for Kubernetes resource reads that cannot be derived from AOM/hcloud, such as Pod label_selector filtering, Ingress TLS certificate checks, and LoadBalancer Service discovery for ELB/EIP association; clusters without external EIP require the kubectl cce plugin from kubectl-cce-plugin/README.md- Prometheus-related monitoring data is queried from AOM Prometheus with signed HTTPS requests; the cluster must have the Prometheus add-on integrated with AOM, otherwise these tools may return empty metric series
- Controller-manager, scheduler, and etcd metrics require the
kube-controller-manager, kube-scheduler, and etcd-server ServiceMonitors to be enabled separately in AOM; otherwise these tools may return empty metric series
- Autoscaler, ingress-controller, and NVIDIA GPU metrics require the corresponding
autoscaler, ingress-controller, and nvidia-gpu-device-plugin PodMonitors to be enabled separately in AOM; ingress request metrics also require nginx_ingress_controller_requests to be explicitly allowed in the ingress-controller PodMonitor
- Run environment check before first use (see Verification section)
- Install and use
kubectl-cce according to references/kubectl-cce.md
2. Credential Configuration
- Valid Huawei Cloud credentials via hcloud profile or AK/SK mode
- Security Rules:
- 🚫 Never expose AK/SK values in code, conversation, or commands
- 🚫 Never use
echo $HUAWEI_AK or echo $HUAWEI_SK to check credentials
- ✅ Credential priority for hcloud calls is: explicit tool parameters > local hcloud profile > environment variables
- ✅ AOM Prometheus signed HTTP and Kubernetes certificate setup cannot use encrypted hcloud profile material, so they use explicit tool parameters first and environment variables as the signing fallback
- ✅ Prefer IAM users over root account for cloud operations
- ✅ Enable MFA for sensitive operations
Configuration Method:
hcloud configure list
export HUAWEI_AK=<your-ak>
export HUAWEI_SK=<your-sk>
export HUAWEI_REGION=cn-north-4
3. IAM Permission Requirements
| API Action | Permission | Purpose |
|---|
cce:cluster:get | Get cluster | View CCE cluster details |
aom:instance:list | List AOM instances | Discover AOM Prometheus instance for metrics |
aom:metricsData:get | Get metrics data | Query Pod/Node CPU/memory/disk metrics |
ces:metricsData:get | Get CES metrics | Query ECS/ELB/EIP/NAT cloud resource metrics |
ecs:cloudServers:list | List ECS servers | Correlate ECS instance IDs |
elb:loadbalancers:list | List ELB instances | Correlate ELB IDs |
vpc:eips:list | List EIPs | Correlate EIP IDs |
nat:natGateways:list | List NAT Gateways | Correlate NAT Gateway IDs |
Permission Failure Handling:
- When any command fails due to IAM permission errors, display the required permission list
- Guide the user to create a custom policy in the IAM console and grant authorization
- Pause execution and wait for user confirmation that permissions have been granted
Core Commands
All commands use the Python dispatcher script: python3 scripts/huawei-cloud.py <action> <key=value>...
KooCLI命令格式标准
Do not ask users to run raw hcloud commands directly. Use the dispatcher format:
python3 scripts/huawei-cloud.py <tool-name> key=value key=value
The dispatcher converts cloud service queries to KooCLI calls. AOM Prometheus range queries use signed HTTPS requests because that path is not compatible with hcloud. Avoid Kubernetes resource reads unless the tool explicitly needs Pod labels, Ingress TLS Secrets, or LoadBalancer Services. Quote values containing spaces, >, <, |, JSON, or PromQL; never print or persist AK/SK, security tokens, kubeconfig files, or temporary payloads; keep Kubernetes/AOM PromQL scoped with cluster="<cluster_id>".
1. CCE Pod Metrics
python3 scripts/huawei-cloud.py huawei_get_cce_pod_metrics_topN \
region=cn-north-4 cluster_id=<cluster-id> \
namespace=default top_n=10 hours=1
python3 scripts/huawei-cloud.py huawei_get_cce_pod_metrics_topN \
region=cn-north-4 cluster_id=<cluster-id> \
namespace=default label_selector="app=nginx,version=v1" top_n=10 hours=1
python3 scripts/huawei-cloud.py huawei_get_cce_pod_metrics \
region=cn-north-4 cluster_id=<cluster-id> \
pod_name=my-app-xxx namespace=default hours=1
python3 scripts/huawei-cloud.py huawei_get_cce_pod_gpu_metrics \
region=cn-north-4 cluster_id=<cluster-id> \
pod_name=my-gpu-app-xxx namespace=default hours=1
2. CCE Node Metrics
python3 scripts/huawei-cloud.py huawei_get_cce_node_metrics_topN \
region=cn-north-4 cluster_id=<cluster-id> \
top_n=10 hours=1
python3 scripts/huawei-cloud.py huawei_get_cce_node_metrics \
region=cn-north-4 cluster_id=<cluster-id> \
node_ip=10.0.0.1 hours=1
python3 scripts/huawei-cloud.py huawei_get_cce_node_gpu_metrics \
region=cn-north-4 cluster_id=<cluster-id> \
node_ip=10.0.0.1 hours=1
3. CCE CoreDNS Metrics
python3 scripts/huawei-cloud.py huawei_get_cce_coredns_metrics \
region=cn-north-4 cluster_id=<cluster-id> \
namespace=kube-system pod_regex=".*coredns.*" hours=1
4. CCE nginx-ingress Metrics
python3 scripts/huawei-cloud.py huawei_get_cce_nginx_ingress_metrics \
region=cn-north-4 cluster_id=<cluster-id> \
namespace=kube-system pod_regex=".*nginx.*ingress.*|.*ingress.*nginx.*" \
ingress_namespace=default cert_expire_warning_days=30 hours=1
5. CCE Autoscaler Metrics
python3 scripts/huawei-cloud.py huawei_get_cce_autoscaler_metrics \
region=cn-north-4 cluster_id=<cluster-id> \
namespace=kube-system pod_regex=".*cluster.*autoscaler.*|.*autoscaler.*" \
include_hpa=true hours=1
6. Kubernetes Control Plane Metrics
python3 scripts/huawei-cloud.py huawei_get_cce_apiserver_metrics \
region=cn-north-4 cluster_id=<cluster-id> hours=1
python3 scripts/huawei-cloud.py huawei_get_cce_etcd_metrics \
region=cn-north-4 cluster_id=<cluster-id> hours=1
python3 scripts/huawei-cloud.py huawei_get_cce_controller_manager_metrics \
region=cn-north-4 cluster_id=<cluster-id> namespace=kube-system hours=1
python3 scripts/huawei-cloud.py huawei_get_cce_scheduler_metrics \
region=cn-north-4 cluster_id=<cluster-id> namespace=kube-system hours=1
7. Cloud Resource Metrics
python3 scripts/huawei-cloud.py huawei_get_ecs_metrics \
region=cn-north-4 instance_id=<instance-id>
python3 scripts/huawei-cloud.py huawei_get_elb_metrics \
region=cn-north-4 elb_id=<loadbalancer-id> hours=1
python3 scripts/huawei-cloud.py huawei_get_eip_metrics \
region=cn-north-4 eip_id=<eip-id> hours=1
python3 scripts/huawei-cloud.py huawei_get_nat_gateway_metrics \
region=cn-north-4 nat_gateway_id=<nat-gateway-id> hours=1
8. Cluster Monitoring Aggregation
python3 scripts/huawei-cloud.py huawei_cce_cluster_monitoring_aggregation \
region=cn-north-4 cluster_id=<cluster-id> \
start_time="2026-05-30 00:00:00" end_time="2026-05-30 23:59:59" \
namespace=default top_n=10
This tool aggregates: Pod TopN CPU/memory, Node TopN CPU/memory/disk, ELB metrics (matched through LoadBalancer Services fetched by kubectl), NAT Gateway metrics, EIP metrics (bandwidth, packet loss), and anomaly detection using 80% threshold.
It also includes CoreDNS, nginx-ingress, and autoscaler summaries. Cloud resources are scoped to the current cluster when an association can be proven: ELB is matched through LoadBalancer Service IP/EIP, NAT Gateway is filtered by the cluster VPC, and EIP is limited to associated ELB/NAT/Service IPs.
LoadBalancer Service discovery uses kubectl with generated kubeconfig through the cluster EIP when external access is available. If the cluster has no EIP, it uses the kubectl cce plugin. If neither path works, aggregation fails.
Risk Levels
This skill is read-only. It does not create, update, delete, restart, scale, or modify Huawei Cloud or Kubernetes resources.
| Level | Meaning | Execution Guidance |
|---|
| R3 | No-risk read-only query or local analysis | May run automatically |
| R2 | Low-risk change, such as creating monitoring configuration without deleting resources or increasing service capacity/cost | Not used by current tools |
| R1 | Risky operation, such as restart-like impact, disabling protection, or changes that may increase cost or reduce observability | Not used by current tools |
| R0 | Critical operation, such as deleting clusters, applications, or broad-impact monitoring protections | Not used by current tools |
| Tool | Operation Type | Risk Level | Description |
|---|
huawei_get_cce_pod_metrics_topN | Query | R3 | Read Pod CPU/memory/disk TopN metrics from AOM Prometheus |
huawei_get_cce_pod_metrics | Query | R3 | Read single Pod CPU/memory/disk time-series metrics |
huawei_get_cce_node_metrics_topN | Query | R3 | Read Node CPU/memory/disk TopN metrics from AOM Prometheus |
huawei_get_cce_node_metrics | Query | R3 | Read single Node CPU/memory/disk time-series metrics |
huawei_get_cce_node_gpu_metrics | Query | R3 | Read single Node GPU and xGPU metrics from AOM Prometheus |
huawei_get_cce_pod_gpu_metrics | Query | R3 | Read single Pod GPU and xGPU metrics from AOM Prometheus |
huawei_get_cce_coredns_metrics | Query | R3 | Read CoreDNS QPS, error rate excluding NXDOMAIN, NXDOMAIN rate, P95 latency, replicas, and per-Pod CPU/memory metrics |
huawei_get_cce_nginx_ingress_metrics | Query | R3 | Read nginx-ingress request-processing metrics and Ingress TLS certificate expiration status; QPS falls back to nginx process request counters when request-dimension metrics are absent |
huawei_get_cce_autoscaler_metrics | Query | R3 | Read Cluster Autoscaler scaling metrics, HPA replica state, and autoscaler Pod CPU/memory metrics |
huawei_get_cce_apiserver_metrics | Query | R3 | Read kube-apiserver QPS, error rate, latency, and inflight request metrics |
huawei_get_cce_etcd_metrics | Query | R3 | Read etcd leader, proposal, DB size, disk latency, CPU, and memory metrics |
huawei_get_cce_controller_manager_metrics | Query | R3 | Read control-plane workqueue depth, adds, retries, queue latency, and work duration metrics |
huawei_get_cce_scheduler_metrics | Query | R3 | Read scheduler attempts, pending Pods, scheduling latency, and queue metrics |
huawei_get_ecs_metrics | Query | R3 | Read ECS monitoring data through hcloud/CES |
huawei_get_elb_metrics | Query | R3 | Read ELB monitoring data through hcloud/CES |
huawei_get_eip_metrics | Query | R3 | Read EIP monitoring data through hcloud/CES |
huawei_get_nat_gateway_metrics | Query | R3 | Read NAT Gateway monitoring data through hcloud/CES |
huawei_cce_cluster_monitoring_aggregation | Query + local analysis | R3 | Aggregate Pod/Node/cloud-resource metrics and classify anomalies locally |
Parameter Reference
Common Parameters
| Parameter | Required/Optional | Description | Default |
|---|
region | Required | Huawei Cloud region | HUAWEI_REGION |
cluster_id | Required | CCE cluster ID | N/A |
namespace | Recommended | Kubernetes namespace | default |
ak | Optional | Explicit AK; highest priority for all calls | profile/env fallback |
sk | Optional | Explicit SK; highest priority for all calls | profile/env fallback |
project_id | Optional | Explicit Project ID; hcloud uses profile before env fallback | Auto from IAM/profile |
huawei_get_cce_pod_metrics_topN Parameters
| Parameter | Required | Description | Default |
|---|
namespace | No | Namespace filter | all |
label_selector | No | Label selector (e.g. app=web) | N/A |
top_n | No | Number of top items | 10 |
hours | No | Metrics lookback hours | 1 |
node_ip | No | Filter Pods on specific node | N/A |
cpu_query | No | Custom CPU PromQL | Auto |
memory_query | No | Custom memory PromQL | Auto |
disk_query | No | Custom disk PromQL | Auto |
huawei_get_cce_pod_metrics Parameters
| Parameter | Required | Description | Default |
|---|
pod_name | Yes | Target Pod name | N/A |
namespace | No | Namespace | default |
hours | No | Metrics lookback hours | 1 |
cpu_query | No | Custom CPU PromQL | Auto |
memory_query | No | Custom memory PromQL | Auto |
disk_query | No | Custom disk PromQL | Auto |
huawei_get_cce_pod_gpu_metrics Parameters
| Parameter | Required | Description | Default |
|---|
pod_name | Yes | Target Pod name | N/A |
namespace | No | Target Pod namespace | all |
hours | No | Metrics lookback hours | 1 |
gpu_selector | No | Custom GPU metric label selector. Use this when GPU metrics do not use the pod or namespace labels | pod="<pod_name>",namespace="<namespace>" |
Optional custom PromQL overrides are supported for GPU utilization, memory, schedule policy, xGPU allocation/usage, and xGPU health metrics.
huawei_get_cce_node_metrics_topN Parameters
| Parameter | Required | Description | Default |
|---|
top_n | No | Number of top items | 10 |
hours | No | Metrics lookback hours | 1 |
huawei_get_cce_node_metrics Parameters
| Parameter | Required | Description | Default |
|---|
node_ip | Yes | Target Node IP | N/A |
hours | No | Metrics lookback hours | 1 |
huawei_get_cce_node_gpu_metrics Parameters
| Parameter | Required | Description | Default |
|---|
node_ip | Yes | Target Node IP or node name | N/A |
hours | No | Metrics lookback hours | 1 |
gpu_selector | No | Custom GPU metric label selector. Use this when GPU metrics do not use the node label | `node=~"<node_ip> |
Optional custom PromQL overrides are supported for GPU utilization, memory, temperature, power, schedule policy, xGPU allocation/usage, and xGPU health metrics.
huawei_get_cce_coredns_metrics Parameters
| Parameter | Required | Description | Default |
|---|
namespace | No | CoreDNS namespace | kube-system |
pod_regex | No | Regex used to match CoreDNS Pods | .*coredns.* |
hours | No | Metrics lookback hours | 1 |
Optional custom PromQL overrides are supported for QPS, error rate, NXDOMAIN rate, P95 latency, CPU, memory, and replica count.
huawei_get_cce_nginx_ingress_metrics Parameters
| Parameter | Required | Description | Default |
|---|
namespace | No | Namespace of nginx-ingress controller Pods. Use an empty value to query all namespaces | kube-system |
pod_regex | No | Regex used to match nginx-ingress controller Pods | `.*nginx.ingress. |
ingress_namespace | No | Namespace filter for Ingress TLS certificate checks | all |
hours | No | Metrics lookback hours | 1 |
cert_expire_warning_days | No | Days before expiry to mark certificates as warning | 30 |
check_certificates | No | Whether to inspect Ingress TLS Secrets for expiration status | true |
Ingress-controller metrics depend on the corresponding AOM PodMonitor. The nginx_ingress_controller_requests metric must be explicitly allowed in the ingress-controller PodMonitor; otherwise request-dimension metrics such as 4xx/5xx QPS, success rate, and latency may be empty, and QPS may only use the nginx_ingress_controller_nginx_process_requests_total fallback when available.
Optional custom PromQL overrides are supported for QPS, 4xx/5xx, success rate, P95 latency, active connections, CPU, and memory.
huawei_get_cce_autoscaler_metrics Parameters
| Parameter | Required | Description | Default |
|---|
namespace | No | Namespace of Cluster Autoscaler Pods. Use an empty value to query all namespaces | kube-system |
pod_regex | No | Regex used to match autoscaler Pods | `.*cluster.autoscaler. |
hpa_namespace | No | Namespace filter for HPA replica metrics | all |
hours | No | Metrics lookback hours | 1 |
include_hpa | No | Whether to query HPA current/desired replica metrics | true |
Optional custom PromQL overrides are supported for unschedulable Pods, node states, scale events, errors, node groups, HPA replicas, CPU, and memory.
Kubernetes Control Plane Tool Parameters
Applies to huawei_get_cce_apiserver_metrics, huawei_get_cce_etcd_metrics, huawei_get_cce_controller_manager_metrics, and huawei_get_cce_scheduler_metrics.
huawei_get_cce_apiserver_metrics defaults to cluster="<cluster_id>",component="apiserver" and does not add namespace or Pod labels. Its default P95 latency excludes WATCH|CONNECT requests and also returns latency_p95_by_verb_ms for diagnosis. Use metric_selector only when the Prometheus labels differ.
huawei_get_cce_etcd_metrics defaults to cluster="<cluster_id>" and does not add namespace or Pod labels. Use metric_selector only when the Prometheus labels differ.
huawei_get_cce_controller_manager_metrics defaults to cluster="<cluster_id>" because CCE AOM workqueue metrics may not expose stable controller-manager Pod labels. It returns both aggregate workqueue metrics and per-queue name breakdowns.
huawei_get_cce_scheduler_metrics defaults to cluster="<cluster_id>" and returns aggregate metrics plus result, profile/result, and queue breakdowns.
Controller-manager, scheduler, and etcd metrics depend on AOM ServiceMonitor collection being enabled for the corresponding kube-controller-manager, kube-scheduler, and etcd-server endpoints. If ServiceMonitor is not enabled, the tools can run successfully but return empty series.
| Parameter | Required | Description | Default |
|---|
namespace | No | Namespace of control-plane Pods. Use an empty value to query all namespaces | kube-system |
pod_regex | No | Regex used to match target component Pods | component-specific |
metric_selector | No | Custom apiserver/etcd/controller-manager/scheduler metric label selector | apiserver: cluster="<cluster_id>",component="apiserver"; etcd/controller-manager/scheduler: cluster="<cluster_id>" |
hours | No | Metrics lookback hours | 1 |
Cloud Resource Tool Parameters
| Tool | Required ID Parameter | Optional Parameters |
|---|
huawei_get_ecs_metrics | instance_id | none |
huawei_get_elb_metrics | elb_id | hours |
huawei_get_eip_metrics | eip_id | hours |
huawei_get_nat_gateway_metrics | nat_gateway_id | hours |
huawei_cce_cluster_monitoring_aggregation Parameters
| Parameter | Required | Description | Default |
|---|
start_time | Yes | Start time (YYYY-MM-DD HH:MM:SS) | N/A |
end_time | Yes | End time (YYYY-MM-DD HH:MM:SS) | N/A |
namespace | No | Namespace filter | default |
top_n | No | Number of top items | 10 |
security_token | No | Temporary security token for AK/SK session credentials | env fallback |
Output Format
See Output Schema for the complete JSON response structure.
Key output fields:
success — boolean, true if query completedregion — Huawei Cloud regioncluster_id / cluster_name — CCE cluster identityaom_instance_id — AOM Prometheus instance used for metric queriesmetrics — Dict with cpu/memory/disk data per resource, including status classificationcertificate_check — nginx-ingress Ingress TLS certificate expiration summary when certificate checking is enabledtime_series — Historical data points with timestamp, time, average, min, maxstatus — Threshold classification: critical (>80% CPU, >85% memory/disk), warning (>50% CPU/memory, >70% disk), normal (below warning), unknown (no data)
Workflow
- Resolve region, cluster ID, and credentials using the documented priority.
- Discover the AOM Prometheus instance from the CCE cluster add-on binding.
- Start with Pod/Node TopN or aggregation, then drill into a Pod, Node, component, or cloud resource.
- Keep PromQL scoped by
cluster="<cluster_id>"; add namespace, pod, or resource filters only to reduce noise.
- Use status classification as an investigation lead, then correlate anomalies with events or alarm history.
Verification
- Run
python3 scripts/huawei-cloud.py huawei_get_cce_pod_metrics_topN region=cn-north-4 cluster_id=<cluster-id> namespace=default top_n=5 to verify Pod metric queries
- Run
python3 scripts/huawei-cloud.py huawei_get_cce_node_metrics_topN region=cn-north-4 cluster_id=<cluster-id> top_n=5 to verify Node metric queries
- Run
python3 scripts/huawei-cloud.py huawei_get_ecs_metrics region=cn-north-4 instance_id=<instance-id> to verify CES metric connectivity
Best Practices
- Start with Pod/Node TopN before drilling into individual resources.
- Keep
hours small (1-4) for recent analysis; cap historical reviews at 24 hours.
- Provide
namespace to reduce Pod noise while preserving the cluster filter.
- Focus on
critical and warning resources first.
- Use
huawei_cce_cluster_monitoring_aggregation for full-cluster health checks.
- Correlate metric anomalies with
huawei-cloud-cce-kubernetes-event-analyzer.
- Do not expose production Pod names, node IPs, or cluster IDs in public summaries.
Notes
- This skill is strictly read-only and never modifies resources or configurations.
- Thresholds are predefined baselines; tune them against workload SLOs before making operational decisions.
- AK/SK must never be hardcoded; use hcloud profile for normal hcloud calls or environment fallback for signed AOM/Kubernetes calls.
scripts/huawei-cloud.py is the only user-facing execution method- AOM Prometheus instance is auto-discovered; no need to manually specify
aom_instance_id
- Cloud resource metrics (ECS/ELB/EIP/NAT) use CES (Cloud Eye Service), not AOM
- Do not make automatic scaling or remediation decisions based solely on metric analysis.
Troubleshooting
| Pitfall | Symptom | Quick Fix |
|---|
Missing cluster_id | Action fails immediately | Provide cluster_id from cluster listing |
| AOM Prometheus instance not found | Metric queries return empty results | Ensure AOM Prom instance is created for the cluster; check aom:instance:list permission |
| Large time window without namespace filter | Slow response, too many results | Narrow hours to 1-4 and add namespace filter |
| Cloud resource ID not found | ECS/ELB/EIP/NAT query returns error | Verify resource ID and CES IAM permission |
| Custom PromQL syntax error | Custom query returns empty | Use default PromQL unless familiar with AOM PromQL |
| Aggregation missing time range | start_time / end_time missing | Provide both time boundaries |
Limitations
- AOM Prometheus data requires the cluster Prometheus add-on to be integrated with AOM.
- Control-plane ServiceMonitors and component PodMonitors must be enabled before related metrics appear.
- Query results reflect collected monitoring data only; missing series are not proof that the workload is healthy.
- This skill does not remediate, scale, restart, create, update, or delete cloud or Kubernetes resources.
References
| Document | Description |
|---|
| Workflow | Metric query sequence, threshold detection, next-step handoff |
| Risk Rules | Read-only constraints, data redaction, time-bounding, threshold caveats |
| Output Schema | JSON response schema for metric and status output |
| CLI Installation Guide | hcloud, kubectl, kubectl-cce, and dispatcher setup |
| IAM Policies | Required read-only Huawei Cloud and Kubernetes permissions |
| Verification Method | Static checks and smoke tests |
| Acceptance Criteria | Functional, security, documentation, and quality gates |
