Application Real-Time Monitoring Service:Monitor ECS instances

Benefit

Description

Host discovery in seconds

• Adaptability: The automatic service discovery mechanism allows the monitoring system to quickly adapt to changes in cloud resources. This ensures that all running instances are monitored in a timely manner.

• Diversity: Multiple service discovery methods are supported to meet monitoring needs in different scenarios. For example, automatic discovery of services in Kubernetes clusters and the integration of other types of cloud services are supported.

Exporter installation in seconds

• Ready to use: Exporters can be automatically installed. This way, the monitoring system can immediately identify newly started compute nodes and collect the metrics of the compute nodes without any manual operations.

• Comprehensive monitoring: Multiple exporters, including the Node Exporter, the Process Exporter, the GPU Exporter, and exporters for middleware, are provided for comprehensive performance tracking.

Metric collection in seconds

• Simplified configurations: The automated configuration generation feature frees O&M engineers from manual configurations and ensures that the metrics of all nodes and services are accurately collected.

• Flexibility: You can modify the configurations based on your monitoring requirements to keep up with complex and changing monitoring environments.

After you create an ECS instance, the ECS instance can be included in the monitoring system within 30 to 60 seconds. The interval at which all metrics of ECS instances are monitored can be flexibly adjusted from 1 to 60 seconds. This helps implement all-around monitoring of ECS instances within seconds.

Serverless agents

• Centralized management: Managed Prometheus agents are used to manage data collection in a centralized manner. This simplifies the monitoring architecture and improves O&M efficiency. During data collection, your business is not affected.

• High performance: Prometheus agents free you from configuring complex monitoring algorithms. This reduces the possibility of invalid configurations and improves the accuracy and timeliness of data monitoring.

Smart metric tags

• The tags, resource groups, and regions of ECS instances are automatically extracted and injected into the entire metric system.

• You can add custom tags, such as business tags, environment tags, and data source tags, to ECS instances. This improves the flexibility of tag management.

Ultra-large-scale data collection and storage

• Multiple ECS instances can be integrated at a time, including dedicated and shared ECS instances. Hosted resources can be dynamically adjusted based on the number of ECS instances to be integrated. This ensures the timeliness and accuracy of the integration.

• Ultra-large-scale metric storage and high-performance query and display are supported

Comprehensive monitoring data from upstream and downstream applications

• Systematic and comprehensive observability requires the integration of monitoring data from different dimensions and the implementation of end-to-end monitoring. This way, the monitoring system can reflect the health status and performance of the whole application and service ecosystem.

• The monitoring solution provided by Managed Service for Prometheus includes monitoring policies that cover underlying hardware, applications, and external services, such as remote direct memory access (RDMA) networks, Object Storage Service (OSS) buckets, and Redis. This monitoring solution applies to hosts, networks, and dependencies.

Process-level monitoring

• Process-level monitoring allows you to track and analyze running processes on operating systems. This helps you understand the performance and resource utilization of the processes. Process-level monitoring plays a key role in implementing system-level monitoring and is designed to visualize the health status and performance of the applications that run on servers.

• During process-level monitoring, key performance metrics, such as the CPU utilization, memory usage, and disk reads and writes of a process, are captured. Other information, such as the startup time of a process, the number of open file handles, and the number of threads initiated in a process, is also collected. Near real-time monitoring capabilities are provided for immediate feedback. This allows system administrators to identify and resolve issues at the earliest opportunity.

• Process-level monitoring provides administrators with diverse fault diagnosis methods. It helps identify the processes that cause system performance degradation or faults, such as the processes in which memory leaks or resource contention issues occur and the processes that cause high CPU utilization or resource consumption.

Grafana dashboards

• By default, Managed Service for Prometheus is integrated with Grafana dashboards, including the ECS Overview dashboard, ECS Detail dashboard, GPU Overview dashboard, GPU Detail dashboard, and Node Process dashboard.

• ECS instances can be integrated into Managed Service for Prometheus for monitoring within a few clicks, and the monitoring feature can be used out of the box.