TencentCloud Managed Service for Prometheus
2025-12-12 20:39Tencent Cloud Managed Service for Prometheus (TMP) is a lightweight, stable, and highly available managed Prometheus service. Its core feature is Open-Source Prometheus Compatibility, with 100% compatibility with the open-source Prometheus protocol. It supports core APIs, custom multi-dimensional data models, and the PromQL query language, allowing users to seamlessly migrate and integrate their existing monitoring systems. As the preferred solution for Cloud-Native Monitoring (Kubernetes), it is inherently aligned with the Kubernetes ecosystem and can be quickly integrated with Tencent Cloud Container Service (TKE), providing comprehensive monitoring for services running on Kubernetes. Leveraging exporters, it covers nearly all open-source infrastructure software for metrics collection, perfectly meeting the business needs of Cloud-Native Monitoring (Kubernetes). The platform features Out-of-the-Box Grafana Integration, providing pre-configured Kubernetes basic monitoring and common service monitoring dashboards. After activation, users can quickly utilize visualization monitoring functions without additional configuration. In specific monitoring scenarios, it supports Application Service API Monitoring, enabling real-time tracking of API traffic, latency, and success rates, along with anomaly localization. It also offers specialized JVM Status Monitoring for Java applications, covering core metrics such as GC, memory, and threads, comprehensively ensuring application stability. Additionally, the service offers advantages such as low resource consumption, unlimited storage scalability, and low costs, significantly reducing user setup and operational expenses.
Frequently Asked Questions
Q: What conveniences does the Open-Source Prometheus Compatibility of Tencent Cloud Managed Service for Prometheus bring to Cloud-Native Monitoring (Kubernetes) and Application Service API Monitoring?
A: Open-Source Prometheus Compatibility is one of the core advantages of Tencent Cloud Managed Service for Prometheus. In Cloud-Native Monitoring (Kubernetes) scenarios, due to its 100% compatibility with the open-source protocol, it can directly integrate with the cloud-native monitoring capabilities of open-source Prometheus. This eliminates the need for adaptation or modifications to Kubernetes clusters and related components, allowing rapid adoption of existing monitoring systems for metrics collection and analysis. After integration with Tencent Cloud TKE, it further simplifies the deployment and operational processes for Cloud-Native Monitoring (Kubernetes). In Application Service API Monitoring, the Open-Source Prometheus Compatibility feature enables users to continue using familiar custom monitoring rule configurations. They can flexibly filter key metrics for Application Service API Monitoring (such as traffic and success rates) using the PromQL query language. Additionally, mature API monitoring and alerting templates from the open-source community can be directly reused without learning new configuration logic, reducing the implementation cost of Application Service API Monitoring and allowing users to quickly achieve real-time control over API statuses.
Q: How does the Out-of-the-Box Grafana Integration function collaborate with Application Service API Monitoring and JVM Status Monitoring to enhance the monitoring visualization experience?
A: The Out-of-the-Box Grafana Integration function of Tencent Cloud Managed Service for Prometheus requires no manual setup of Grafana environments. After activating the service, users can immediately use pre-configured monitoring dashboards, forming an efficient collaboration with Application Service API Monitoring and JVM Status Monitoring. In Application Service API Monitoring, Out-of-the-Box Grafana Integration provides dedicated API monitoring visualization panels, presenting metrics such as API traffic, latency, and success rates in intuitive charts. It supports multi-dimensional filtering and historical trend comparisons, helping users quickly identify API performance bottlenecks. In JVM Status Monitoring, the pre-configured panels of Out-of-the-Box Grafana Integration include visualization logic for core metrics such as GC frequency, memory usage, and thread count, allowing users to view JVM runtime status in real-time without manually configuring charts. Additionally, Out-of-the-Box Grafana Integration supports custom panel editing. Users can adjust metric display layouts and chart types according to the personalized needs of Application Service API Monitoring and JVM Status Monitoring, making monitoring data more aligned with business analysis scenarios and significantly enhancing the practicality and efficiency of monitoring visualization.
Q: In Cloud-Native Monitoring (Kubernetes) scenarios, how do the Open-Source Prometheus Compatibility and Out-of-the-Box Grafana Integration features of Tencent Cloud Managed Service for Prometheus work together to meet enterprise-grade monitoring requirements?
A: In Cloud-Native Monitoring (Kubernetes) scenarios, the Open-Source Prometheus Compatibility and Out-of-the-Box Grafana Integration features form a synergistic advantage of "fully compatible data collection + zero-barrier visualization," perfectly meeting enterprise-grade monitoring requirements. Open-Source Prometheus Compatibility ensures the service can seamlessly integrate with Kubernetes cluster monitoring data collection needs, supporting dynamic service discovery or static configuration to scrape metrics from various resources within the cluster without concerns about protocol compatibility. It also allows direct reuse of mature Kubernetes monitoring rules from the open-source community, reducing the configuration costs for enterprise-grade monitoring. Out-of-the-Box Grafana Integration provides ready-to-use Kubernetes basic monitoring dashboards, enabling enterprise users to quickly view the operational status of core resources such as cluster nodes, Pods, and services without investing time in building panels from scratch. The dashboards support metric correlation and drill-down analysis, and combined with the comprehensive data collection capabilities brought by Open-Source Prometheus Compatibility, they help operations teams quickly locate cluster anomalies. This collaboration ensures data completeness and compatibility for Cloud-Native Monitoring (Kubernetes) while lowering the visualization barrier through Out-of-the-Box Grafana Integration. It can also be combined with capabilities such as Application Service API Monitoring and JVM Status Monitoring to form an end-to-end monitoring system covering clusters, applications, and APIs, fully meeting the monitoring needs of enterprise-grade cloud-native architectures.