Technical Support

MRS is a one-stop big data platform that provides enterprise-class clusters on the cloud. Tenants can fully control clusters and easily run big data components such as Hadoop, Hive, Spark, HBase, Kafka, and Flink. In addition, MRS helps enterprises quickly build a system to process massive amounts of data and discover new value and business opportunities in real time or in non-real time.

Maintenance Policy Statement

MRS provides tenants with fully controllable clusters and semi-hosting cloud services. By default, cloud services do not have permissions to perform operations on the clusters. Tenants are responsible for routine cluster O&M and management. They can contact the technical support team for help if any technical issues occur, excluding those not related to MRS, for example, how to build an application system based on the big data platform.

Technical Support Scope

Supported services
- The MRS console provides the following functions:
  - Creating, deleting, and scaling in or out a cluster
  - Managing cluster jobs
  - Managing cluster alarms
  - Managing cluster patches
  - Managing IAM users
  - Managing external APIs
- MRS provides open-source big data components. For details, see the List of MRS Component Versions.
- MRS supports vulnerability analysis of open-source components, such as impact analysis and fixing suggestions. It enables tenants to evaluate the impact of vulnerabilities on services and fix the vulnerabilities.
Services not supported
- Huawei is not responsible for providing O&M operations for MRS clusters and open-source big data components, including configuration modification, restart, capacity planning, component performance optimization, and any O&M operations on clusters.
- Huawei is not responsible for answering and handling questions about application development on MRS clusters, such as service design, coding, job performance optimization, and workload migration.
- If the MRS cluster component service has no exception or quality defect, Huawei is not responsible for troubleshooting and analyzing running exceptions of your big data jobs.
- Huawei is not responsible for analyzing or resolving unexpected problems caused by any non-standard operations on MRS clusters. Common high-risk operations include reinstalling the OS, deleting data by mistake, deleting service directories and files, modifying OS system configurations and file permissions, deleting /etc/hosts configurations, uninstalling disks in the background, changing node IP addresses, and deleting default security group rules. For more information about these operations, see High-Risk Operations.
- Huawei is not responsible for troubleshooting and resolving problems of third-party components that are not provided by MRS and installed by users of the MRS cluster environment.