Overview
Observability is an approach that engineers use to monitor the infrastructure and applications in a cloud native environment with the help of a variety of tools and techniques. By analyzing the collected metrics, logs, and traces, engineers can gain insights into the applications for easier troubleshooting. This section describes the observability architecture of CCE and main observability capabilities.
The observability architecture consists of four parts: compute base, data collection, monitoring and logging, and O&M.
Compute Base
CCE allows you to create multiple types of clusters, including CCE Turbo and CCE standard clusters, to meet various service requirements. CCE provides a unified data collection solution for different cluster types, which ensures a consistent experience in cloud native observability. For details about CCE clusters, see CCE Service Overview.
Data Collection
Metric collection: An add-on based on Prometheus is provided for cloud native cluster monitoring. This add-on is much more lightweight and can be used out of the box. For details, see Cloud Native Cluster Monitoring.
Log collection: An add-on based on Fluent Bit and OpenTelemetry is provided for cloud native logging. This add-on features high performance and low resource usage. There are also CRD-based log collection policies, which are more flexible and easy to use. For details, see Cloud Native Log Collection.
Monitoring and Logging
Application Operations Management (AOM) is a one-stop, multi-dimensional O&M management platform for cloud applications. It monitors applications and related cloud resources in real time, analyzes application health, and provides flexible data visualization functions to help you detect faults in a timely manner.
Log Tank Service (LTS) collects log data from hosts and cloud services. LTS can process a massive number of logs efficiently, securely, and in real time, which enables you to gain insights into cloud services and applications and optimize their availability and performance. It also helps you in real-time decision-making, device O&M management, and service trend analysis.
O&M
CCE provides Health Center, Monitoring Center, Logging, and Alarm Center for O&M.
- Health Center
Health diagnosis carefully monitors cluster health by leveraging the experience of our container O&M experts to detect cluster faults and identify risks in a timely manner. It provides rectification suggestions too.
- Monitoring Center
Monitoring Center provides functions such as multi-dimensional data insights and dashboard. Monitoring Center provides monitoring views from dimensions such as clusters, nodes, workloads, and pods. It supports multi-level drill-down and association analysis. Dashboard gives you monitoring graphs for items such as the API server, CoreDNS, and PVC.
- Logging
CCE works with LTS to collect logs of control plane components (kube-apiserver, kube-controller-manager, and kube-scheduler), Kubernetes audit logs, Kubernetes events, and container logs (stdout logs, text logs, and node logs).
- Alarm Center
Alarm Center works with AOM 2.0 to allow you to create alarm rules and view alarms of clusters and containers.
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