버킷에서 메트릭 모니터링을 구성하는 방법에 대한 UI 예제

1. IBM Cloud 콘솔 리소스 목록 에서 메트릭 모니터링 추가에 관심이 있는 버킷을 포함하는 서비스 인스턴스를 선택하십시오. 그러면 Object Storage 콘솔이 표시됩니다.
2. 모니터링을 사용으로 설정할 버킷을 선택하십시오.
3. 구성 탭으로 이동하십시오.
4. 고급 구성 섹션으로 아래로 스크롤하여 이 버킷에 대해 모니터할 메트릭을 전환하십시오.
5. 몇 분 후에 모든 활동이 IBM Cloud Monitoring 웹 UI에 표시됩니다.

예제

java sdk

import com.ibm.cloud.objectstorage.config.resource_configuration.v1.ResourceConfiguration;
import com.ibm.cloud.objectstorage.config.resource_configuration.v1.model.BucketPatch;
import com.ibm.cloud.sdk.core.security.IamAuthenticator;

public class MetricsMonitoringExample {

   private static final String BUCKET_NAME = <BUCKET_NAME>;
   private static final String API_KEY = <API_KEY>;

   public static void main(String[] args) {
      IamAuthenticator authenticator = new IamAuthenticator.Builder()
               .apiKey(API_KEY)
               .build();
      ResourceConfiguration RC_CLIENT = new ResourceConfiguration("resource-configuration", authenticator);
      MetricsMonitoring metricsMonitoringConfig = new MetricsMonitoring().Builder()
            .requestMetricsEnabled(true)
            .usageMetricsEnabled(true)
            .build();
      BucketPatch bucketPatch = new BucketPatch.Builder().metricsMonitoring(metricsMonitoringConfig).build();
      UpdateBucketConfigOptions update = new UpdateBucketConfigOptions
               .Builder(BUCKET_NAME)
               .bucketPatch(bucketPatch.asPatch())
               .build();
      RC_CLIENT.updateBucketConfig(update).execute();

      GetBucketConfigOptions bucketOptions = new GetBucketConfigOptions.Builder(BUCKET_NAME).build();
      Bucket bucket = RC_CLIENT.getBucketConfig(bucketOptions).execute().getResult();
      MetricsMonitoring metricsMonitoringResponse = bucket.getMetricsMonitoring();
      System.out.println("Usage Metrics Enabled  : " + metricsMonitoringResponse.usageMetricsEnabled());
      System.out.println("Request Metrics Enabled : " + metricsMonitoringResponse.requestMetricsEnabled());
   }
}

NodeJS SDK

const ResourceConfigurationV1 = require('ibm-cos-sdk-config/resource-configuration/v1');
IamAuthenticator      = require('ibm-cos-sdk-config/auth');

var apiKey = "<API_KEY>"
var bucketName = "<BUCKET_NAME>"

authenticator = new IamAuthenticator({apikey: apiKey})
rcConfig = {authenticator: authenticator}
const client = new ResourceConfigurationV1(rcConfig);

function addMM() {
   console.log('Updating bucket metadata...');

   var params = {
      bucket: bucketName,
      metricsMonitoring: {
         "request_metrics_enabled": true,
         "usage_metrics_enabled": true
         }
   };

   client.updateBucketConfig(params, function (err, response) {
      if (err) {
            console.log("ERROR: " + err);
      } else {
            console.log(response.result);
      }
   });
}

addMM()

Python SDK

from ibm_cos_sdk_config.resource_configuration_v1 import ResourceConfigurationV1
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

api_key = "<API_KEY>"
bucket_name = "<BUCKET_NAME>"

authenticator = IAMAuthenticator(apikey=api_key)
client = ResourceConfigurationV1(authenticator=authenticator)
metrics_monitoring_config = {'metrics_monitoring':
                           {
                              'request_metrics_enabled':True,
                              'usage_metrics_enabled':True
                              }
                           }
client.update_bucket_config(bucket_name, bucket_patch=metrics_monitoring_config

go sdk

import (
"github.com/IBM/go-sdk-core/core"
rc "github.com/IBM/ibm-cos-sdk-go-config/v2/resourceconfigurationv1"
)

apiKey := "<ApiKey>"
bucketName := "<BucketName>"

authenticator := new(core.IamAuthenticator)
authenticator.ApiKey = apiKey
optionsRC := new(rc.ResourceConfigurationV1Options)
optionsRC.Authenticator = authenticator
rcClient, _ := rc.NewResourceConfigurationV1(optionsRC)

patchNameMap := make(map[string]interface{})
patchNameMap["metrics_monitoring"] = &rc.MetricsMonitoring{
RequestMetricsEnabled:     core.BoolPtr(true),
UsageMetricsEnabled:    core.BoolPtr(true)
}
updateBucketConfigOptions := &rc.UpdateBucketConfigOptions{
Bucket:      core.StringPtr(bucketName),
BucketPatch: patchNameMap,
}
rcClient.UpdateBucketConfig(updateBucketConfigOptions)

예

resource "ibm_resource_instance" "cos_instance" {
   name              = "cos-instance"
   resource_group_id = data.ibm_resource_group.cos_group.id
   service           = "cloud-object-storage"
   plan              = "standard"
   location          = "global"
}

resource "ibm_cos_bucket" "metric_monitoring_bucket" {
   bucket_name          = “bucket_name”
   resource_instance_id = ibm_resource_instance.cos_instance.id
   region_location      = “us-south”
   storage_class        = “standard”
   metrics_monitoring {
      usage_metrics_enabled   = true
      request_metrics_enabled = true
}
}

COS 버킷에서 레거시에서 권장 이벤트 추적 구성으로 상태 전이하기 위한 UI 예제 패치

IBM Cloud® Object Storage 버킷 (SDK, RC API, UI, Terraform) 에서 레거시에서 권장 메트릭 모니터링 구성으로 상태 전이하기 위한 예제 패치

1. IBM Cloud 콘솔 리소스 목록에서 권장 메트릭 모니터링 구성으로 업그레이드할 버킷을 포함하는 서비스 인스턴스를 선택하십시오. 그러면 Object Storage 콘솔이 표시됩니다.
2. 업그레이드할 버킷을 선택하십시오.
3. 구성 탭으로 이동하십시오.
4. 고급 구성 섹션으로 스크롤 다운하여 메트릭 모니터링을 위한 구성 패널을 찾으십시오.
5. 패널의 오른쪽 상단 모서리를 클릭하고 업그레이드를 선택하십시오.
6. 이 버킷에 대한 메트릭 모니터링을 업그레이드할지 확인하십시오.

예제

java sdk

import com.ibm.cloud.objectstorage.config.resource_configuration.v1.ResourceConfiguration;
import com.ibm.cloud.objectstorage.config.resource_configuration.v1.model.BucketPatch;
import com.ibm.cloud.sdk.core.security.IamAuthenticator;

public class MetricsMonitoringExample {

   private static final String BUCKET_NAME = <BUCKET_NAME>;
   private static final String API_KEY = <API_KEY>;

   public static void main(String[] args) {
      IamAuthenticator authenticator = new IamAuthenticator.Builder()
               .apiKey(API_KEY)
               .build();
      ResourceConfiguration RC_CLIENT = new ResourceConfiguration("resource-configuration", authenticator);
      MetricsMonitoring metricsMonitoringConfig = new MetricsMonitoring().Builder()
            .metricsMonitoringCrn(MM_CRN)
            .requestMetricsEnabled(true)
            .usageMetricsEnabled(true)
            .build();
      BucketPatch bucketPatch = new BucketPatch.Builder().metricsMonitoring(metricsMonitoringConfig).build();
      UpdateBucketConfigOptions update = new UpdateBucketConfigOptions
               .Builder(BUCKET_NAME)
               .bucketPatch(bucketPatch.asPatch())
               .build();
      RC_CLIENT.updateBucketConfig(update).execute();

      GetBucketConfigOptions bucketOptions = new GetBucketConfigOptions.Builder(BUCKET_NAME).build();
      Bucket bucket = RC_CLIENT.getBucketConfig(bucketOptions).execute().getResult();
      MetricsMonitoring metricsMonitoringResponse = bucket.getMetricsMonitoring();
      System.out.println("Usage Metrics Enabled  : " + metricsMonitoringResponse.usageMetricsEnabled());
      System.out.println("Request Metrics Enabled : " + metricsMonitoringResponse.requestMetricsEnabled());
   }
}

NodeJS SDK

const ResourceConfigurationV1 = require('ibm-cos-sdk-config/resource-configuration/v1');
IamAuthenticator      = require('ibm-cos-sdk-config/auth');

var apiKey = "<API_KEY>"
var bucketName = "<BUCKET_NAME>"

authenticator = new IamAuthenticator({apikey: apiKey})
rcConfig = {authenticator: authenticator}
const client = new ResourceConfigurationV1(rcConfig);

function addMM() {
   console.log('Updating bucket metadata...');

   var params = {
      bucket: bucketName,
      metricsMonitoring: {
               "metrics_monitoring_crn": metricsCrn,
         "request_metrics_enabled": true,
         "usage_metrics_enabled": true
         }
   };

   client.updateBucketConfig(params, function (err, response) {
      if (err) {
            console.log("ERROR: " + err);
      } else {
            console.log(response.result);
      }
   });
}

addMM()

Python SDK

from ibm_cos_sdk_config.resource_configuration_v1 import ResourceConfigurationV1
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator

api_key = "<API_KEY>"
bucket_name = "<BUCKET_NAME>"

authenticator = IAMAuthenticator(apikey=api_key)
client = ResourceConfigurationV1(authenticator=authenticator)
metrics_monitoring_config = {'metrics_monitoring':
                           {
                        'metrics_monitoring_crn': mm_crn,
                              'request_metrics_enabled':True,
                              'usage_metrics_enabled':True
                              }
                           }

client.update_bucket_config(bucket_name, bucket_patch=metrics_monitoring_config

go sdk

import (
"github.com/IBM/go-sdk-core/core"
rc "github.com/IBM/ibm-cos-sdk-go-config/v2/resourceconfigurationv1"
)

apiKey := "<ApiKey>"
bucketName := "<BucketName>"

authenticator := new(core.IamAuthenticator)
authenticator.ApiKey = apiKey
optionsRC := new(rc.ResourceConfigurationV1Options)
optionsRC.Authenticator = authenticator
rcClient, _ := rc.NewResourceConfigurationV1(optionsRC)

patchNameMap["metrics_monitoring"] = &rc.MetricsMonitoring{
MetricsMonitoringCrn: core.StringPtr(MMCrn),
RequestMetricsEnabled:     core.BoolPtr(true),
UsageMetricsEnabled:    core.BoolPtr(true)
}

updateBucketConfigOptions := &rc.UpdateBucketConfigOptions{
Bucket:      core.StringPtr(bucketName),
BucketPatch: patchNameMap,
}
rcClient.UpdateBucketConfig(updateBucketConfigOptions)

예

resource "ibm_resource_instance" "cos_instance" {
   name              = "cos-instance"
   resource_group_id = data.ibm_resource_group.cos_group.id
   service           = "cloud-object-storage"
   plan              = "standard"
   location          = "global"
}

resource "ibm_cos_bucket" "metric_monitoring_bucket" {
   bucket_name          = “bucket_name”
   resource_instance_id = ibm_resource_instance.cos_instance.id
   region_location      = “us-south”
   storage_class        = “standard”
   metrics_monitoring {
      usage_metrics_enabled   = true
      request_metrics_enabled = true
      metrics_monitoring_crn = "crn:v1:bluemix:public:sysdig-monitor:us-east:a/xxxxxxxxxxxxxxxxxxxxxxxxx:4xxxxxxxx-xxxx-xxxx-xxxx-fxxxxxxxxx4c::"
}
}