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Alauda Container Platform
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Overview
Creating an On-Premise Cluster
etcd Encryption
Automated Rotate Kuberentes Certificates

How to

Add External Address for Built-in Registry
Choosing a Container Runtime
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Networking

Introduction

Architecture

Understanding Kube-OVN
Understanding ALB
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Concepts

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GatewayAPI
OTel

Guides

Creating Services
Creating Ingresses
Configure Gateway
Create Ingress-Nginx
Creating a Domain Name
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Creating External IP Address Pool
Creating BGP Peers
Configure Subnets
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Creating Admin Network Policies
Configure Cluster Network Policies

How To

Deploy High Available VIP for ALB
Soft Data Center LB Solution (Alpha)
Preparing Kube-OVN Underlay Physical Network
Automatic Interconnection of Underlay and Overlay Subnets
Use OAuth Proxy with ALB
Creating GatewayAPI Gateway
Configure a Load Balancer
How to properly allocate CPU and memory resources
Forwarding IPv6 Traffic to IPv4 Addresses within the Cluster
Calico Network Supports WireGuard Encryption
Kube-OVN Overlay Network Supports IPsec Encryption
ALB Monitoring
Load Balancing Session Affinity Policy in Application Load Balancer (ALB)

Trouble Shooting

How to Solve Inter-node Communication Issues in ARM Environments?
Find Who Cause the Error

Machine Configuration

Overview
Managing Node Configuration with MachineConfig
Node Disruption Policies

Storage

Introduction

Concepts

Core Concepts
Persistent Volume
Access Modes and Volume Modes

Guides

Creating CephFS File Storage Type Storage Class
Creating CephRBD Block Storage Class
Create TopoLVM Local Storage Class
Creating an NFS Shared Storage Class
Deploy Volume Snapshot Component
Creating a PV
Creating PVCs
Using Volume Snapshots

How To

Setting the naming rules for subdirectories in the NFS Shared Storage Class
Generic ephemeral volumes
Using an emptyDir
Third‑Party Storage Capability Annotation Guide

Troubleshooting

Recover From PVC Expansion Failure

Storage

Ceph Distributed Storage

Introduction

Install

Create Standard Type Cluster
Create Stretch Type Cluster
Architecture

Concepts

Core Concepts

Guides

Accessing Storage Services
Managing Storage Pools
Node-specific Component Deployment
Adding Devices/Device Classes
Monitoring and Alerts

How To

Configure a Dedicated Cluster for Distributed Storage
Cleanup Distributed Storage

Disaster Recovery

File Storage Disaster Recovery
Block Storage Disaster Recovery
Object Storagge Disaster Recovery
Update the optimization parameters
Create ceph object store user

MinIO Object Storage

Introduction
Install
Architecture

Concepts

Core Concepts

Guides

Adding a Storage Pool
Monitoring & Alerts

How To

Data Disaster Recovery

TopoLVM Local Storage

Introduction
Install

Guides

Device Management
Monitoring and Alerting

How To

Backup and Restore TopoLVM Filesystem PVCs with Velero

Security

Alauda Container Security

Security and Compliance

Compliance

Introduction
Installation

HowTo

Private Registry Access Configuration
Image Signature Verification Policy
Image Signature Verification Policy with Secrets
Image Registry Validation Policy
Container Escape Prevention Policy
Security Context Enforcement Policy
Network Security Policy
Volume Security Policy

API Refiner

Introduction
Install

Users and Roles

User

Introduction

Guides

Manage User Roles
Create User
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Group

Introduction

Guides

Manage User Group Roles
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Introduction

Guides

Create Role
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Introduction

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Introduction

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Install

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Virtualization

Overview

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Install

Images

Introduction

Guides

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How To

Creating Windows Images Based on ISO using KubeVirt
Creating Linux Images Based on ISO Using KubeVirt
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Virtual Machine

Introduction

Guides

Creating Virtual Machines/Virtual Machine Groups
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How To

Configuring USB host passthrough
Virtual Machine Hot Migration
Virtual Machine Recovery
Clone Virtual Machines on KubeVirt
Physical GPU Passthrough Environment Preparation
Configuring High Availability for Virtual Machines
Create a VM Template from an Existing Virtual Machine

Troubleshooting

Pod Migration and Recovery from Abnormal Shutdown of Virtual Machine Nodes
Hot Migration Error Messages and Solutions

Network

Introduction

Guides

Configure Network

How To

Control Virtual Machine Network Requests Through Network Policy
Configuring SR-IOV
Configuring Virtual Machines to Use Network Binding Mode for IPv6 Support

Storage

Introduction

Guides

Managing Virtual Disks

Backup and Recovery

Introduction

Guides

Using Snapshots

Developer

Overview

Quick Start

Creating a simple application via image

Building Applications

Concepts

Application Types
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Workload Types
Understanding Parameters
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Understanding Startup Commands
Resource Unit Description

Namespaces

Creating Namespaces
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Overcommit Ratio
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Creating Applications

Creating applications from Image
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Operation and Maintaining Applications

Application Rollout

Installing Alauda Container Platform Argo Rollouts
Application Blue Green Deployment
Application Canary Deployment
Status Description

KEDA(Kubernetes Event-driven Autoscaling)

KEDA Overview
Installing KEDA

How To

Integrating ACP Monitoring with Prometheus Plugin
Pausing Autoscaling in KEDA
Configuring HPA
Starting and Stopping Applications
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Configurations

Configuring ConfigMap
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Application Observability

Monitoring Dashboards
Logs
Events

How To

Setting Scheduled Task Trigger Rules

Registry

Introduction

Install

Install Via YAML
Install Via Web UI

How To

Common CLI Command Operations
Using Alauda Container Platform Registry in Kubernetes Clusters

Source to Image

Introduction

Install

Installing Alauda Container Platform Builds

Upgrading

Upgrading Alauda Container Platform Builds
Architecture

Guides

Managing applications created from Code

How To

Creating an application from Code

Node Isolation Strategy

Introduction
Architecture

Concepts

Core Concepts

Guides

Create Node Isolation Strategy
Permissions
FAQ

GitOps

Introduction

Install

Installing Alauda Build of Argo CD
Installing Alauda Container Platform GitOps

Upgrade

Upgrading Alauda Container Platform GitOps
Architecture

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Argo CD Concept

Introduction
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Alauda Container Platform GitOps Concepts

Introduction
Alauda Container Platform GitOps Sync and Health Status

Guides

Creating GitOps Application

Creating GitOps Application
Creating GitOps ApplicationSet

GitOps Observability

Argo CD Component Monitoring
GitOps Applications Ops

How To

Integrating Code Repositories via Argo CD dashboard
Creating an Argo CD Application via Argo CD dashboard
Creating an Argo CD Application via the web console
How to Obtain Argo CD Access Information
Troubleshooting

Extend

Operator
Cluster Plugin

Observability

Overview

Monitoring

Introduction
Install

Architecture

Monitoring Module Architecture
Monitoring Component Selection Guide
Concepts

Guides

Management of Metrics
Management of Alert
Management of Notification
Management of Monitoring Dashboards
Management of Probe

How To

Backup and Restore of Prometheus Monitoring Data
VictoriaMetrics Backup and Recovery of Monitoring Data
Collect Network Data from Custom-Named Network Interfaces

Distributed Tracing

Introduction
Install
Architecture
Concepts

Guides

Query Tracing
Query Trace Logs

How To

Non-Intrusive Integration of Tracing in Java Applications
Business Log Associated with the TraceID

Troubleshooting

Unable to Query the Required Tracing
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Logs

Introduction
Install

Architecture

Log Module Architecture
Log Component Selection Guide
Log Component Capacity Planning
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Guides

Logs

How To

How to Archive Logs to Third-Party Storage
How to Interface with External ES Storage Clusters

Events

Introduction
Events

Inspection

Introduction
Architecture

Guides

Inspection
Component Health Status

Hardware accelerators

Overview

Introduction
Features
Install

Application Development

Introduction

Guides

CUDA Driver and Runtime Compatibility
Add Custom Devices Using ConfigMap

Troubleshooting

Troubleshooting float16 is only supported on GPUs with compute capability at least xx Error in vLLM
Paddle Autogrow Memory Allocation Crash on GPU-Manager

Configuration Management

Introduction

Guides

Configure Hardware accelerator on GPU nodes

Resource Monitoring

Introduction

Guides

GPU Resource Monitoring

Alauda Service Mesh

About Alauda Service Mesh

Alauda AI

About Alauda AI

Alauda DevOps

About Alauda DevOps

Alauda Cost Management

About Alauda Cost Management

Alauda Application Services

Overview

Introduction
Architecture
Install
Upgrade

Alauda Database Service for MySQL

About Alauda Database Service for MySQL-MGR
About Alauda Database Service for MySQL-PXC

Alauda Cache Service for Redis OSS

About Alauda Cache Service for Redis OSS

Alauda Streaming Service for Kafka

About Alauda Streaming Service for Kafka

Alauda Streaming Service for RabbitMQ

About Alauda Streaming Service for RabbitMQ

Alauda support for PostgreSQL

About Alauda support for PostgreSQL

Operations Management

Introduction

Parameter Template Management

Introduction

Guides

Parameter Template Management

Backup Management

Introduction

Guides

External S3 Storage
Backup Management

Inspection Management

Introduction

Guides

Create Inspection Task
Exec Inspection Task
Update and Delete Inspection Tasks

How To

How to set Inspection scheduling?

Inspection Optimization Recommendations

MySQL

MySQL IO Load Optimization
MySQL Memory Usage Optimization
MySQL Storage Space Optimization
MySQL Active Thread Count Optimization
MySQL Row Lock Optimization

Redis

Redis BigKey
High CPU Usage in Redis
High Memory Usage in Redis

Kafka

High CPU Utilization in Kafka
Kafka Rebalance Optimization
Kafka Memory Usage Optimization
Kafka Storage Space Optimization

RabbitMQ

RabbitMQ Mnesia Database Exception Handling

Alert Management

Introduction

Guides

Relationship with Platform Capabilities

Upgrade Management

Introduction

Guides

Instance Upgrade

API Reference

Overview

Introduction
Kubernetes API Usage Guide

Advanced APIs

Alert APIs

AlertHistories [v1]
AlertHistoryMessages [v1]
AlertStatus [v2]
SilenceStatus [v2]

Event APIs

Search

Log APIs

Aggregation
Archive
Context
Search

Monitoring APIs

Indicators [monitoring.alauda.io/v1beta1]
Metrics [monitoring.alauda.io/v1beta1]
Variables [monitoring.alauda.io/v1beta1]

Kubernetes APIs

Alert APIs

AlertTemplate [alerttemplates.aiops.alauda.io/v1beta1]
PrometheusRule [prometheusrules.monitoring.coreos.com/v1]

Inspection APIs

Inspection [inspections.ait.alauda.io/v1alpha1]

Notification APIs

Notification [notifications.ait.alauda.io/v1beta1]
NotificationGroup [notificationgroups.ait.alauda.io/v1beta1]
NotificationTemplate [notificationtemplates.ait.alauda.io/v1beta1]
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#Management of Metrics

The platform's monitoring system is based on the metrics collected by Prometheus / VictoriaMetrics. This document will guide you on how to manage these metrics.

#TOC

#Viewing Metrics Exposed by Platform Components

The monitoring method for the cluster components within the platform is to extract metrics exposed via ServiceMonitor. Metrics in the platform are publicly available through the /metrics endpoint. You can view the exposed metrics of a specific component in the platform using the following example command:

curl -s http://<Component IP>:<Component metrics port>/metrics | grep 'TYPE\|HELP'

Sample Output:

# HELP controller_runtime_active_workers Number of currently used workers per controller
# TYPE controller_runtime_active_workers gauge
# HELP controller_runtime_max_concurrent_reconciles Maximum number of concurrent reconciles per controller
# TYPE controller_runtime_max_concurrent_reconciles gauge
# HELP controller_runtime_reconcile_errors_total Total number of reconciliation errors per controller
# TYPE controller_runtime_reconcile_errors_total counter
# HELP controller_runtime_reconcile_time_seconds Length of time per reconciliation per controller

#Viewing All Metrics Stored by Prometheus / VictoriaMetrics

You can view the list of available metrics in the cluster to help you write the PromQL you need based on these metrics.

#Prerequisites

  1. You have obtained your user Token

  2. You have obtained the platform address

#Procedures

Run the following command to get the list of metrics using the curl command:

curl -k -X 'GET' -H 'Authorization: Bearer <Your token>' 'https://<Your platform access address>/v2/metrics/<Your cluster name>/prometheus/label/__name__/values'

Sample Output:

{
  "status": "success",
  "data": [
    "ALERTS",
  "ALERTS_FOR_STATE",
  "advanced_search_cached_resources_count",
  "alb_error",
  "alertmanager_alerts",
  "alertmanager_alerts_invalid_total",
  "alertmanager_alerts_received_total",
  "alertmanager_cluster_enabled"]
}

#Viewing All Built-in Metrics Defined by the Platform

To simplify user usage, the platform has built in a large number of commonly used metrics. You can directly use these metrics when configuring alerts or monitoring dashboards without needing to define them yourself. The following will introduce you to how to view these metrics.

#Prerequisites

  1. You have obtained your user Token

  2. You have obtained the platform address

#Procedures

Run the following command to get the list of metrics using the curl command:

curl -k -X 'GET' -H 'Authorization: Bearer <Your token>' 'https://<Your platform access address>/v2/metrics/<Your cluster name>/indicators'

Sample Output:

[
  {
  "alertEnabled": true, 
  "annotations": {
   "cn": "CPU utilization of containers in the compute component",
   "descriptionEN": "Cpu utilization for pods in workload",
   "descriptionZH": "CPU utilization of containers in the compute component",
   "displayNameEN": "CPU utilization of the pods",
   "displayNameZH": "CPU utilization of containers in the compute component",
   "en": "Cpu utilization for pods in workload",
   "features": "SupportDashboard", 
   "summaryEN": "CPU usage rate {{.externalLabels.comparison}}{{.externalLabels.threshold}} of Pod ({{.labels.pod}})",
   "summaryZH": "CPU usage rate {{.externalLabels.comparison}}{{.externalLabels.threshold}} of pod ({{.labels.pod}})"
  },
  "displayName": "CPU utilization of containers in the compute component",
  "kind": "workload",
  "multipleEnabled": true,  
  "name": "workload.pod.cpu.utilization",
  "query": "avg by (kind,name,namespace,pod) (avg by (kind,name,namespace,pod,container)(cpaas_advanced_container_cpu_usage_seconds_total_irate5m{kind=~\"{{.kind}}\",name=~\"{{.name}}\",namespace=~\"{{.namespace}}\",container!=\"\",container!=\"POD\"}) / avg by (kind,name,namespace,pod,container)(cpaas_advanced_kube_pod_container_resource_limits{kind=~\"{{.kind}}\",name=~\"{{.name}}\",namespace=~\"{{.namespace}}\",resource=\"cpu\"}))", 
  "summary": "CPU usage rate {{.externalLabels.comparison}}{{.externalLabels.threshold}} of pod ({{.labels.pod}})",
  "type": "metric",
  "unit": "%",
  "legend": "{{.namespace}}/{{.pod}}",
  "variables": [ 
   "namespace",
   "name",
   "kind"
  ]
 }
]
  1. Whether this metric supports being used for configuring alerts
  2. Whether this metric supports being used in monitoring dashboards
  3. Whether this metric supports being used when configuring alerts for multiple resources
  4. The PromQL statement defined for the metric
  5. The variables that can be used in the PromQL statement of the metric

#Integrating External Metrics

In addition to the built-in metrics of the platform, you can also integrate metrics exposed by your applications or third-party applications via ServiceMonitor or PodMonitor. This section uses the Elasticsearch Exporter installed in pod form in the same cluster as an example for explanation.

#Prerequisites

You have installed your application and exposed metrics through specified interfaces. In this document, we assume your application is installed in the cpaas-system namespace and has exposed the http://<elasticsearch-exporter-ip>:9200/_prometheus/metrics endpoint.

#Procedures

  1. Create a Service/Endpoint for the Exporter to expose metrics

    apiVersion: v1
    kind: Service
    metadata:
      labels:
        chart: elasticsearch
        service_name: cpaas-elasticsearch
      name: cpaas-elasticsearch
      namespace: cpaas-system
    spec:
      clusterIP: 10.105.125.99
      ports:
      - name: cpaas-elasticsearch
        port: 9200
        protocol: TCP
        targetPort: 9200
      selector:
        service_name: cpaas-elasticsearch
      sessionAffinity: None
      type: ClusterIP
  2. Create a ServiceMonitor object to describe the metrics exposed by your application:

    apiVersion: monitoring.coreos.com/v1
    kind: ServiceMonitor
    metadata:
      labels:
        app: cpaas-monitor
        chart: cpaas-monitor
        heritage: Helm
        prometheus: kube-prometheus
        release: cpaas-monitor
      name: cpaas-elasticsearch-Exporter
      namespace: cpaas-system
    spec:
      jobLabel: service_name
      namespaceSelector:
        any: true
      selector:
        matchExpressions:
          - key: service_name
            operator: Exists
      endpoints:
        - port: cpaas-elasticsearch
          path: /_prometheus/metrics
          interval: 60s
          honorLabels: true
          basicAuth:
            password:
              key: ES_PASSWORD
              name: acp-config-secret
            username:
              key: ES_USER
              name: acp-config-secret
    1. To which Prometheus should the ServiceMonitor be synchronized; the operator will listen to the corresponding ServiceMonitor resource based on the serviceMonitorSelector configuration of the Prometheus CR. If the ServiceMonitor's labels do not match the serviceMonitorSelector configuration of the Prometheus CR, this ServiceMonitor will not be monitored by the operator.
    2. The operator will listen to which namespaces of ServiceMonitor based on the serviceMonitorNamespaceSelector configuration of the Prometheus CR; if the ServiceMonitor is not in the serviceMonitorNamespaceSelector of the Prometheus CR, this ServiceMonitor will not be monitored by the operator.
    3. Metrics collected by Prometheus will add a job label, with the value being the service label value corresponding to jobLabel.
    4. The ServiceMonitor matches the corresponding Service based on the namespaceSelector configuration.
    5. The ServiceMonitor matches the Service based on the selector configuration.
    6. The ServiceMonitor matches the Service's port based on port configuration.
    7. The access path to the Exporter, default is /metrics.
    8. The interval at which Prometheus scrapes the Exporter metrics.
    9. If authentication is required to access the Exporter path, authentication information needs to be added; it also supports bearer token, tls authentication, and other methods.
  3. Check if the ServiceMonitor is being monitored by Prometheus

    Access the UI of the monitoring component to check if the job cpaas-elasticsearch-exporter exists.

    • Prometheus UI address: https://<Your platform access address>/clusters/<Cluster name>/prometheus-0/targets
    • VictoriaMetrics UI address: https://<Your platform access address>/clusters/<Cluster name>/vmselect/vmui/?#/metrics