记忆

Huawei Cloud Cce Metric Analyzer

试用

查询华为云 CCE 集群 Pod/Node 指标及 ECS、ELB、EIP、NAT 资源指标,支持基于阈值的异常检测。

它能做什么

通过华为云 Python SDK 与 AOM Prometheus 服务拉取 CCE Pod/Node 的 CPU、内存、磁盘指标,并从 CES 获取 ECS/ELB/EIP/NAT 等云资源指标。Python 分发脚本提供 Pod/Node 的 TopN 排行、单资源时间序列查询,以及按时间窗口的集群级聚合分析。返回结果包含基于阈值的 critical、warning、normal、unknown 状态分类,并以 80% 作为异常检测阈值。

什么时候用它

  • 查询某命名空间下 CPU 或内存使用率最高的 10 个 Pod
  • 获取指定 Node 的内存与磁盘时间序列数据
  • 按时间窗口聚合整个集群的监控指标并检测异常
  • 查看 ELB 的 QPS、EIP 带宽使用率或 NAT 网关的 SNAT 连接数

技能文档

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 → Huawei Cloud Python SDK + AOM Prometheus → Pod/Node metrics, ECS/ELB/EIP/NAT metrics → Threshold classification → Anomaly detection

Related Skills:

  • huawei-cloud-cce-pod-failure-diagnoser - Pod CrashLoopBackOff, OOMKilled, restart storms
  • huawei-cloud-cce-node-failure-diagnoser - Node health, resource pressure diagnosis
  • huawei-cloud-cce-kubernetes-event-analyzer - Warning events, failure patterns
  • huawei-cloud-cce-capacity-trend-forecaster - Capacity planning and trend forecasting
  • huawei-cloud-cce-cost-optimization-advisor - Resource cost optimization
  • huawei-cloud-cce-auto-remediation-runner - Remediation actions (scale, resize, drain)

Capabilities:

  • Pod CPU/memory TopN ranking and single Pod time-series metrics
  • Node CPU/memory/disk TopN ranking and single Node time-series metrics
  • 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:

  • "Show Pods with the highest CPU usage in my cluster"
  • "Get Node memory usage ranking"
  • "Check ECS instance resource metrics"
  • "What is the ELB QPS for my load balancer?"
  • "Show EIP bandwidth usage"
  • "Aggregate all monitoring data for the cluster"
  • "Which resources have exceeded critical thresholds?"
  • "Detect resource anomalies in the last hour"

Prerequisites

1. Python Dependencies

  • Python 3.8+ with huaweicloudsdkcce, huaweicloudsdkcore, huaweicloudsdkaom, huaweicloudsdkces packages
  • Run environment check before first use (see Verification section)

2. Credential Configuration

  • Valid Huawei Cloud credentials (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
    • ✅ Use environment variables: HUAWEI_AK, HUAWEI_SK, HUAWEI_REGION
    • ✅ Prefer IAM users over root account for cloud operations
    • ✅ Enable MFA for sensitive operations

Configuration Method (Environment Variables Only):

export HUAWEI_AK=
export HUAWEI_SK=
export HUAWEI_REGION=cn-north-4

⚠️ Important Security Notes:

  • Never commit credentials to version control
  • Use IAM users with minimal required permissions
  • Enable MFA for sensitive operations
  • Rotate AK/SK regularly

3. IAM Permission Requirements

API ActionPermissionPurpose
cce:cluster:getGet clusterView CCE cluster details
aom:instance:listList AOM instancesDiscover AOM Prometheus instance for metrics
aom:metricsData:getGet metrics dataQuery Pod/Node CPU/memory/disk metrics
ces:metricsData:getGet CES metricsQuery ECS/ELB/EIP/NAT cloud resource metrics
ecs:cloudServers:listList ECS serversCorrelate ECS instance IDs
elb:loadbalancers:listList ELB instancesCorrelate ELB IDs
vpc:eips:listList EIPsCorrelate EIP IDs
nat:natGateways:listList NAT GatewaysCorrelate NAT Gateway IDs

Permission Failure Handling:

  1. When any command fails due to IAM permission errors, display the required permission list
  2. Guide the user to create a custom policy in the IAM console and grant authorization
  3. 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 ...

1. CCE Pod Metrics

# Pod TopN — cluster-wide CPU/memory ranking
python3 scripts/huawei-cloud.py huawei_get_cce_pod_metrics_topN \
  region=cn-north-4 cluster_id= \
  namespace=default top_n=10 hours=1

# Pod TopN with label selector
python3 scripts/huawei-cloud.py huawei_get_cce_pod_metrics_topN \
  region=cn-north-4 cluster_id= \
  namespace=default label_selector="app=nginx,version=v1" top_n=10 hours=1

# Single Pod time-series
python3 scripts/huawei-cloud.py huawei_get_cce_pod_metrics \
  region=cn-north-4 cluster_id= \
  pod_name=my-app-xxx namespace=default hours=1

2. CCE Node Metrics

# Node TopN — cluster-wide CPU/memory/disk ranking
python3 scripts/huawei-cloud.py huawei_get_cce_node_metrics_topN \
  region=cn-north-4 cluster_id= \
  top_n=10 hours=1

# Single Node time-series
python3 scripts/huawei-cloud.py huawei_get_cce_node_metrics \
  region=cn-north-4 cluster_id= \
  node_ip=10.0.0.1 hours=1

3. Cloud Resource Metrics

# ECS instance metrics
python3 scripts/huawei-cloud.py huawei_get_ecs_metrics \
  region=cn-north-4 instance_id=

# ELB metrics
python3 scripts/huawei-cloud.py huawei_get_elb_metrics \
  region=cn-north-4 elb_id= hours=1

# EIP metrics
python3 scripts/huawei-cloud.py huawei_get_eip_metrics \
  region=cn-north-4 eip_id= hours=1

# NAT Gateway metrics
python3 scripts/huawei-cloud.py huawei_get_nat_gateway_metrics \
  region=cn-north-4 nat_gateway_id= hours=1

4. Cluster Monitoring Aggregation

# Aggregate all monitoring data with anomaly detection
python3 scripts/huawei-cloud.py huawei_cce_cluster_monitoring_aggregation \
  region=cn-north-4 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 (with LoadBalancer service association), NAT Gateway metrics, EIP metrics (bandwidth, packet loss), and anomaly detection using 80% threshold.

Parameter Reference

Common Parameters

ParameterRequired/OptionalDescriptionDefault
regionRequiredHuawei Cloud regionHUAWEI_REGION
cluster_idRequiredCCE cluster IDN/A
namespaceRecommendedKubernetes namespacedefault
akOptionalOverride AKHUAWEI_AK
skOptionalOverride SKHUAWEI_SK
project_idOptionalProject IDAuto from IAM

huawei_get_cce_pod_metrics_topN Parameters

ParameterRequiredDescriptionDefault
namespaceNoNamespace filterall
label_selectorNoLabel selector (e.g. app=web)N/A
top_nNoNumber of top items10
hoursNoMetrics lookback hours1
node_ipNoFilter Pods on specific nodeN/A
cpu_queryNoCustom CPU PromQLAuto
memory_queryNoCustom memory PromQLAuto

huawei_get_cce_pod_metrics Parameters

ParameterRequiredDescriptionDefault
pod_nameYesTarget Pod nameN/A
namespaceNoNamespacedefault
hoursNoMetrics lookback hours1

huawei_get_cce_node_metrics_topN Parameters

ParameterRequiredDescriptionDefault
top_nNoNumber of top items10
hoursNoMetrics lookback hours1

huawei_get_cce_node_metrics Parameters

ParameterRequiredDescriptionDefault
node_ipYesTarget Node IPN/A
hoursNoMetrics lookback hours1

huawei_get_ecs_metrics Parameters

ParameterRequiredDescriptionDefault
instance_idYesECS instance IDN/A

huawei_get_elb_metrics Parameters

ParameterRequiredDescriptionDefault
elb_idYesELB loadbalancer IDN/A
hoursNoMetrics lookback hours1

huawei_get_eip_metrics Parameters

ParameterRequiredDescriptionDefault
eip_idYesEIP IDN/A
hoursNoMetrics lookback hours1

huawei_get_nat_gateway_metrics Parameters

ParameterRequiredDescriptionDefault
nat_gateway_idYesNAT Gateway IDN/A
hoursNoMetrics lookback hours1

huawei_cce_cluster_monitoring_aggregation Parameters

ParameterRequiredDescriptionDefault
start_timeYesStart time (YYYY-MM-DD HH:MM:SS)N/A
end_timeYesEnd time (YYYY-MM-DD HH:MM:SS)N/A
namespaceNoNamespace filterdefault
top_nNoNumber of top items10

Output Format

See Output Schema for the complete JSON response structure.

Key output fields:

  • success — boolean, true if query completed
  • region — Huawei Cloud region
  • cluster_id / cluster_name — CCE cluster identity
  • aom_instance_id — AOM Prometheus instance used for metric queries
  • metrics — Dict with cpu/memory/disk data per resource, including status classification
  • time_series — Historical data points with timestamp, time, average, min, max
  • status — Threshold classification: critical (>80% CPU, >85% memory/disk), warning (>50% CPU/memory, >70% disk), normal (below warning), unknown (no data)

Cloud resource metric fields (ECS/ELB/EIP/NAT):

  • ECS: cpu_util, mem_util, disk_util, network_incoming/outgoing_bytes_rate, disk_read/write_bytes_rate
  • ELB: m1_cps, m14_l7_rt, mb_l7_qps, mc-me-mf_l7_http_2xx-5xx
  • EIP: upstream/downstream_bandwidth, upstream/downstream_bandwidth_usage, upstream/downstream_traffic, packet_loss_rate
  • NAT: snat_connection, inbound/outbound_bandwidth, snat_connection_ratio

Verification

  1. Run python3 scripts/huawei-cloud.py huawei_get_cce_pod_metrics_topN region=cn-north-4 cluster_id= namespace=default top_n=5 to verify Pod metric queries
  2. Run python3 scripts/huawei-cloud.py huawei_get_cce_node_metrics_topN region=cn-north-4 cluster_id= top_n=5 to verify Node metric queries
  3. Run python3 scripts/huawei-cloud.py huawei_get_ecs_metrics region=cn-north-4 instance_id= to verify CES metric connectivity

Best Practices

  1. Start with TopN for cluster-wide overview — use Pod/Node TopN before drilling into individual resources
  2. Time-bound queries — keep hours small (1-4) for recent analysis; cap at 24 hours for historical reviews
  3. Use namespace filtering — always provide namespace to reduce noise in Pod TopN results
  4. Check status classification — focus on critical and warning resources first; normal resources can be skipped
  5. Use aggregation for full-cluster health checkshuawei_cce_cluster_monitoring_aggregation gives a one-shot overview of all resource metrics with anomaly detection
  6. Correlate with events — if metrics show anomalies, check huawei-cloud-cce-kubernetes-event-analyzer for related warning events
  7. Hand off, don't remediate — this skill is read-only; hand off to diagnosis skills for root cause analysis
  8. Sanitize output — do not expose production pod names, node IPs, or cluster IDs in public summaries; use redacted examples

Reference Documents

DocumentDescription
WorkflowMetric query sequence, Pod/Node workflows, threshold detection, next-step handoff
Risk RulesRead-only constraints, data redaction rules, time-bounding, threshold caveats
Output SchemaJSON response format for CCE metrics, cloud resource metrics, time-series, status values

Notes

  • This skill is strictly read-only — it only queries and analyzes metrics; no modifications are made to resources or configurations
  • Thresholds (CPU >80%, Memory >85%, Disk >85%) are predefined baselines — actual thresholds may vary by workload SLO; recommend users customize thresholds based on their specific requirements
  • AK/SK must never be hardcoded — use environment variables only
  • The Python dispatcher script (scripts/huawei-cloud.py) is the only execution method — do not use hcloud CLI or direct API calls for metric queries
  • 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 — forward to huawei-cloud-cce-auto-remediation-runner only if explicitly requested and validated

Common Pitfalls

PitfallSymptomQuick Fix
Missing cluster_idAction fails immediatelyProvide cluster_id from cluster listing
AOM Prometheus instance not foundMetric queries return empty resultsEnsure AOM Prom instance is created for the cluster; check aom:instance:list permission
Large time window without namespace filterSlow response, too many resultsNarrow hours to 1-4 and add namespace filter
Cloud resource ID not foundECS/ELB/EIP/NAT query returns errorVerify resource ID exists; check CES IAM permission
Custom PromQL syntax errorcpu_query / memory_query returns emptyUse default auto-generated PromQL; only customize if familiar with AOM PromQL syntax
Permission denied on CES metricsCloud resource metrics failVerify ces:metricsData:get IAM permission
Aggregation missing time rangestart_time / end_time required but not providedAlways specify both time boundaries for aggregation queries
Node IP format mismatchSingle Node metrics failUse the exact node IP as shown in cluster node listing (e.g. 10.0.0.1)

常见问题

需要哪些凭证和环境准备?
需要 Python 3.8+ 并安装 huaweicloudsdkcce、huaweicloudsdkcore、huaweicloudsdkaom、huaweicloudsdkces 四个 SDK 包;华为云 AK/SK 和区域通过环境变量 HUAWEI_AK、HUAWEI_SK、HUAWEI_REGION 提供,建议使用 IAM 用户并授予文档中列出的最小权限集合。
状态等级和异常是怎么判定的?
采用固定阈值:CPU 超过 80% 或内存、磁盘超过 85% 判定为 critical;CPU、内存超过 50% 或磁盘超过 70% 判定为 warning;低于 warning 阈值为 normal;未取到数据则为 unknown。集群级聚合以 80% 阈值触发异常标记。
支持哪些云资源指标的查询?
针对 ECS 提供 CPU、内存、磁盘与网络吞吐;ELB 提供连接数、带宽、QPS、HTTP 2xx/5xx;EIP 覆盖上下行带宽、流量与丢包率;NAT 网关覆盖 SNAT 连接数、上下行带宽。CCE 部分仅覆盖 Pod 和 Node 的 CPU、内存、磁盘指标,数据来源是 AOM Prometheus。

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