Debugging tools for cluster file system serviceability

A method of debugging problems in a cluster system provided by a vendor and operated by a user, and having a plurality of nodes executing containerized applications, comprising:

• collecting data for each node to form collected data that is combined together in a single support bundle for transmission to the vendor, wherein the clustered network comprises a Santorini filesystem network processing containerized data utilizing a Kubernetes-based framework, and wherein the cluster network comprises part of a deduplication backup system performing backup and restore operations for the nodes, and further wherein the applications comprise at least one of a Data Domain service running deduplication and compression processes, a cloud-native data protection manager, and a scalable object storage manager;
• monitoring system operation to detect occurrence of an error condition for an application, and that triggers a request from the vendor to obtain the support bundle from the user;
• and
• providing a centralized set of debugging tools in a service pod of the cluster system, wherein each debugging tool of the set is associated with a respective containerized application for use by the vendor to debug program code causing the error condition, wherein the collected data comprises system statistics, system information, and logs for each node, and further wherein the system statistics comprise performance and activity data for applications executed by the networked nodes, including read/write latencies, read/write throughputs, replication throughput, and garbage collection performance, and yet further wherein the system information comprises total storage capacity, currently utilized storage capacity, and remaining storage capacity, and further wherein the logs comprise information related to at least one of:
• component availability state changes, component failures and errors, configuration changes, changes to source code in production, or configuration changes in a production system.

A system for debugging problems in a cluster system operated by a user and having a plurality of nodes executing containerized applications, comprising:

• a Santorini filesystem network processing containerized data utilizing a Kubernetes-based framework, and wherein the cluster network comprises part of a deduplication backup system performing backup and restore operations for the nodes, and further wherein the applications comprise at least one of a Data Domain service running deduplication and compression processes, a cloud-native data protection manager, and a scalable object storage manager;
• a service pod in a node of the cluster system contains a centralized set of debugging tools, wherein the service pod further contains one or more containers for applications executed by the cluster system, and wherein each debugging tool of the set is associated with a respective application;
• a collector collecting data comprising system statistics, system information, and logs for each node, and further wherein the system statistics comprise performance and activity data for applications executed by the networked nodes, including read/write latencies, read/write throughputs, replication throughput, and garbage collection performance, and yet further wherein the system information comprises total storage capacity, currently utilized storage capacity, and remaining storage capacity, and further wherein the logs comprise information related to at least one of:
• component availability state changes, component failures and errors, configuration changes, changes to source code in production, or configuration changes in a production system;
• and
• a vendor system operated by a vendor providing support for the cluster network, executing a corresponding debugging tool of the set of debugging tools to address a problem encountered by a node executing an application.