Scheduling method of distributed, containerized kafka cluster, electronic device and storage medium

CN115981784BActive Publication Date: 2026-07-21DUXIAOMAN TECH (BEIJING) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
DUXIAOMAN TECH (BEIJING) CO LTD
Filing Date
2022-12-26
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing solutions cannot effectively manage containerized Kafka cluster component failures or capacity risks in Kubernetes clusters, resulting in cluster instability and low troubleshooting efficiency.

Method used

By introducing components such as Prober-agent, Judger-server, and kafka-ex-scheduler, the system monitors and analyzes the running status of the Kafka cluster, enables customized scheduling policies, and automatically discovers and resolves Kafka cluster component failures and capacity risks, including operations such as component redeployment, traffic redirection, and data migration.

Benefits of technology

It enables self-healing capabilities for containerized Kafka clusters, improving system stability and anomaly handling speed, and shortening the time for fault mitigation.

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Abstract

The application discloses a scheduling method of a distributed containerized kafka cluster, an electronic device and a computer readable storage medium. The scheduling method comprises the following steps: a Prober-agent component monitors the status of a corresponding kafka-broker application instance and sends monitoring exception information to a Judger-server component; the Judger-server component writes the monitoring exception information into a manager apiserver and stores the monitoring exception information in etcd; after the second scheduler kafka-ex-scheduler listens to the monitoring exception information from the etcd, the kafka-ex-scheduler performs scheduling on the kafka-broker application instance according to a first preset strategy to disable the abnormal kafka-broker application instance and enable a new kafka-broker application instance. The technical scheme of the application can shorten the stop time, is beneficial to realizing cluster self-recovery and guaranteeing the stability of the system.
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