Use cases¶

Unified collection and observation of multicluster data¶

Pain points

On-cloud, off-cloud, and multicloud environment systems cannot be managed in a unified manner, and faults must be checked one by one, resulting in low operation and maintenance efficiency and high costs.
Different data are collected separately, which leads to the inability to correlate and analyze the data, and it is difficult to troubleshoot.

Solution

Supports one-click installation of Helm, supports graphical configuration management, does not limit the release version of Kubernetes, and realizes Insight on Any Kubernetes.
Observability has one-stop collection and storage of logs, metrics, distributed traces, and event logs. Full-stack data observation realizes the integration of data collection, storage, analysis, visualization and alert.
Real-time monitoring of resources in various dimensions, including cluster monitoring, node monitoring, workload monitoring, service monitoring, etc.

Pain points

In a complex microservice architecture, the maintenance cost of monitoring configuration increases, the cost of locating service failures increases, and the effective speed of monitoring faces huge challenges.
The superposition of microservice architecture in the container environment makes troubleshooting complicated, and it is necessary to avoid judging the root cause based on a single exception for troubleshooting.

Solution

Draw a service topology map based on trace data to quickly locate abnormal services.
After an abnormal application is found in the topology map, the root cause of the fault can be clearly seen through one-click drill-down through the call chain.
Query error logs by associating workloads to quickly resolve faults.