Use Cases

Overview

Strengths

Concepts

Use Limits

Features

Service Regions

Product Introduction

Billing Overview

Pay-as-You-Go Description

Billing Rules for Free Metrics Exceeding Free Storage Period

Pay-as-You-Go (Postpaid)

Free Trial Introduction

Managed Collector Billing Introduction

Purchase Methods

Payment Overdue

Free Metrics in Pay-as-You-Go Mode

Pay-as-You-Go — Unit Price for One-Year/Two-Year Data Storage

Purchase Guide

Getting Started

Scrape Configuration Description

Custom Monitoring

EMR Metric Collection Component of Prometheus

EMR Integration

Spring Boot Integration

JVM Integration

Java Application Integration

Go Application 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

Integration with Other Exporters

CVM Node Exporter

Apache Exporter Integration

Exporter Integration

Health Check

Instructions for Installing Components in the TKE Cluster

Cloud Monitoring

Read Cloud-Hosted Prometheus Instance Data via Remote Read

Agent Self-Service Access

Pushgateway Integration

Security Group Open Description

Integration Guide

Creating Instance

Searching for Instance

Renaming Instance

Terminating Instance

Rebooting Instance

Modifying Storage Period

Viewing Instance's Basic Information

Instance

Integration with TKE

Integration Center

Data Multi-Write

Rule Management

List of Default Recording Rules

Recording Rule

Alerting Rule Description

Creating Alerting Rule

Disabling Alerting Rule

Rule Type Description(old)

Notification Template

Alarm Suppression

Alerting Rule

Examples

Using Tag

Editing Tag

Setting Policy

Granting Policy

Description of Role Permissions Related to Service Authorization

Access Control

Grafana

Writing Data

Querying Monitoring Data

API Guide

Instance Diagnosis

Recommended Common Metrics for TKE

Container Monitoring Chart Metrics

Data Collection Configuration

Configuring Necessary Monitoring Metrics

Adjusting Collection IntervalAdjusting Collection Interval

TKE Metrics

Resource Usage and Billing Overview

Operation Guide

Migration from Self-Built Prometheus

Custom Integration with CVM

TKE Monitoring

Enabling Public Network Access for TKE Serverless Cluster

Connecting TMP to Local Grafana

Enabling Public Network Access for Prometheus Instances

Configuring a Public Network Address for a Prometheus Instance

Practical Tutorial

Terraform Overview

Managing Prometheus Instances Using Terraform

Managing the Integration Center of Prometheus Instances Using Terraform

Collecting Container Monitoring Data Using Terraform

Configuring Alarm Policies Using Terraform

Terraform

Basic Questions

Integration with TKE Cluster

Product Consulting

Use and Technology

FAQs

Service Level Agreement

Privacy Policy

Data Processing And Security Agreement

TMP Policy

TencentCloud Managed Service for Prometheus

TMP provides the one-stop out-of-the-box Prometheus monitoring service, which is natively integrated with Grafana dashboards and Cloud Monitor alarms for various monitoring scenarios such as basic services, application layer, and container services.

An application provides external API services but their quality information cannot be secured. TMP can be integrated according to the development language to monitor the access request volume, delay, and success rate of APIs in real time.

TMP also detects service exceptions to help you understand which APIs an exception responds to, which servers an exception occurs on, and whether an exception occurs on individual servers or in the entire cluster.

For Java applications, TMP can monitor the GC, memory, and thread status of individual servers to help you fully understand the internal status of JVM.

If your service is deployed in CVM, you must modify the Prometheus scrape configuration almost every time the service is scaled. For this kind of scenario, with the aid of the tagging capability of the Tencent Cloud platform and the tag discovery capability of the Prometheus agent, you only need to properly associate tags with CVM instances to easily manage and monitor target objects, which helps you get rid of continuously updating the configuration manually; for example:

Service A is deployed on 2 CVM instances at the same time, and the instances are associated with the tag "service name: A";

The original number of CVM instances cannot meet the requirements of a business campaign, and 3 more instances should be added. At this time, you only need to associate the tag "service name: A" with these new instances, and then the agent will automatically discover them and actively scrape their monitoring metrics;

After the campaign is over, 3 CVM instances are removed, and the agent can automatically discover the instance deactivation and stop scraping their monitoring metrics.

You can use TMP to customize the reported metric monitoring data so as to monitor internal status of applications or services, such as the number of processed requests and the number of orders. You can also monitor the processing duration of some core logic, such as requesting external services.

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