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- Quick Start
- Cloud Product Monitoring
- Tencent Cloud Service Metrics
- CVM
- TKE
- Microservice
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- CBS
- TencentDB
- TencentDB for SQL Server Monitoring Metrics
- TencentDB for MySQL Monitoring Metrics
- TencentDB for Redis Monitoring Metrics
- TencentDB for MongoDB Monitoring Metrics
- TencentDB for PostgreSQL Monitoring Metrics
- TDSQL-C for MySQL Monitoring Metrics
- TencentDB for TcaplusDB Monitoring Metrics
- TencentDB for MariaDB Monitoring Metrics
- TDSQL for MySQL Monitoring Metrics (Legacy)
- TDSQL for MySQL Monitoring Metrics
- SCF
- CKafka
- TDMQ
- CLB
- COS
- CFS
- CPM
- ECM
- CDN And EdgeOne
- Direct Connect
- GAAP
- CMQ
- Elasticsearch
- WAF
- CLS
- Data Analysis
- Operation Guide
- CVM Agents
- CM Connection to Grafana
- Troubleshooting
- Practical Tutorial
- Tencent Cloud Service Metrics
- Application Performance Management
- Product Introduction
- Access Guide
- Operation Guide
- Practical Tutorial
- Parameter Information
- FAQs
- Mobile App Performance Monitoring
- Tencent Cloud Real User Monitoring
- Product Introduction
- Operation Guide
- Connection Guide
- FAQs
- Cloud Automated Testing
- Prometheus Monitoring
- Product Introduction
- Access Guide
- Scrape Configuration Description
- Custom Monitoring
- EMR Integration
- Java Application Integration
- Go Application Integration
- Exporter Integration
- Elasticsearch Exporter Integration
- Kafka Exporter Integration
- MongoDB Exporter Integration
- PostgreSQL Exporter Integration
- NGINX Exporter Integration
- Redis Exporter Integration
- MySQL Exporter Integration
- Consul Exporter Integration
- Memcached Exporter Integration
- Apache Exporter Integration
- Integration with Other Exporters
- CVM Node Exporter
- Health Check
- Cloud Monitoring
- Read Cloud-Hosted Prometheus Instance Data via Remote Read
- Agent Self-Service Access
- Pushgateway Integration
- Instructions for Installing Components in the TKE Cluster
- Security Group Open Description
- Operation Guide
- Practical Tutorial
- Terraform
- FAQs
- Grafana
- Dashboard
- API Documentation
- History
- Introduction
- API Category
- Making API Requests
- Alarm APIs
- DescribeAlarmPolicies
- DescribeAlarmMetrics
- DescribeAlarmHistories
- CreateAlarmPolicy
- DeleteAlarmPolicy
- DescribeAlarmPolicy
- ModifyAlarmPolicyStatus
- SetDefaultAlarmPolicy
- BindingPolicyObject
- UnBindingPolicyObject
- UnBindingAllPolicyObject
- ModifyAlarmPolicyCondition
- ModifyAlarmPolicyNotice
- ModifyAlarmPolicyTasks
- DescribeMonitorTypes
- DescribeAllNamespaces
- DescribeAlarmEvents
- DescribeBindingPolicyObjectList
- ModifyAlarmPolicyInfo
- DescribeConditionsTemplateList
- Notification Template APIs
- Monitoring Data Query APIs
- Legacy Alert APIs
- Prometheus Service APIs
- DescribePrometheusInstanceUsage
- DescribeServiceDiscovery
- CreateServiceDiscovery
- UpdateAlertRuleState
- UpdateAlertRule
- DescribeAlertRules
- DeleteAlertRules
- CreateAlertRule
- DescribePrometheusInstances
- UpgradeGrafanaDashboard
- UpdatePrometheusScrapeJob
- UpdatePrometheusAgentStatus
- UpdateExporterIntegration
- UninstallGrafanaDashboard
- UnbindPrometheusManagedGrafana
- TerminatePrometheusInstances
- ModifyPrometheusInstanceAttributes
- GetPrometheusAgentManagementCommand
- DestroyPrometheusInstance
- DescribePrometheusScrapeJobs
- DescribePrometheusAgents
- DescribeExporterIntegrations
- DeletePrometheusScrapeJobs
- DeleteExporterIntegration
- CreatePrometheusScrapeJob
- CreatePrometheusAgent
- CreateExporterIntegration
- BindPrometheusManagedGrafana
- UpdateRecordingRule
- DescribeRecordingRules
- DeleteRecordingRules
- CreateRecordingRule
- CreatePrometheusMultiTenantInstancePostPayMode
- DescribePrometheusZones
- Grafana Service APIs
- UpgradeGrafanaInstance
- UpdateSSOAccount
- UpdateGrafanaWhiteList
- UpdateGrafanaNotificationChannel
- UpdateGrafanaIntegration
- UpdateGrafanaEnvironments
- UpdateGrafanaConfig
- UpdateDNSConfig
- UninstallGrafanaPlugins
- ResumeGrafanaInstance
- ModifyGrafanaInstance
- InstallPlugins
- EnableSSOCamCheck
- EnableGrafanaSSO
- EnableGrafanaInternet
- DescribeSSOAccount
- DescribeInstalledPlugins
- DescribeGrafanaWhiteList
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- CreatePrometheusGlobalNotification
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- DeletePrometheusTempSync
- DeletePrometheusAlertPolicy
- DeletePrometheusClusterAgent
- DescribePrometheusAgentInstances
- DescribePrometheusAlertPolicy
- DescribePrometheusInstanceDetail
- DescribePrometheusClusterAgents
- DescribePrometheusInstanceInitStatus
- DescribePrometheusGlobalConfig
- DescribePrometheusInstancesOverview
- DescribePrometheusGlobalNotification
- DescribePrometheusRecordRules
- DescribePrometheusTemp
- DescribePrometheusTempSync
- DescribePrometheusTargetsTMP
- ModifyPrometheusTemp
- ModifyPrometheusAgentExternalLabels
- ModifyPrometheusAlertPolicy
- ModifyPrometheusGlobalNotification
- RunPrometheusInstance
- DescribeClusterAgentCreatingProgress
- SyncPrometheusTemp
- Monitoring APIs
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What is dynamic threshold alarm?
TCOP dynamic threshold alarm relies on the Tencent Cloud Intelligent Anomaly Detection (IAD) solution for time series data. TCOP adopts leading machine learning technologies to learn historical change patterns of metrics for different services. Then TCOP will intelligently detect metric exceptions and send you alarm notifications with no need for manually setting thresholds.
Dynamic thresholds can be used to detect exceptions in basic and business time series data in various uses cases of monitoring and OPS.
Dynamic thresholds support built-in product monitoring metrics and custom ones.
Common built-in monitoring metrics include CPU, memory, network bandwidth, inbound traffic, and outbound traffic.
Common custom monitoring metrics include latency, user volume, and traffic.
What are the advantages of dynamic thresholds over static ones?
When you use static thresholds, TCOP will send alarm notifications only when manually set trigger conditions are met. Static thresholds are only suitable for metrics that fluctuate within a certain range, e.g., CPU/memory/disk utilization. However, static thresholds are not effective for network traffic, latency, and other metrics that fluctuate widely or have no obvious upper and lower boundaries.
Advantages of dynamic thresholds:
Low labor cost: setting static thresholds relies on experienced developers or OPS personnel. You can save such labor costs by using dynamic thresholds.
Low maintenance cost: upper and lower boundaries of dynamic thresholds are adaptively adjusted according to historical change patterns of metrics. There is no need for regular maintenance by IT staff.
More accurate alarming: TCOP provides multiple built-in detection models to monitor various metrics. TCOP will detect and learn the trends, cycles, and other aspects of metrics to increase alarm accuracy.
Limits
Alarm policy: a user can configure up to 20 alarm policies and create up to 20 alarm objects for each policy.
Time granularity: currently, only granularity of 1 minute is supported for dynamic thresholds. Other granularities will be supported in the future.
Data amount: to ensure effective detection by dynamic thresholds, the data amount reported on one metric shall be no less than three days. Otherwise, an alarm will not be triggered.
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