
Worked on the wazuh/wazuh-indexer repository to deliver enhancements for remote cluster state monitoring, focusing on improving observability and reliability in distributed systems. Refactored the backend logic handling remote cluster state downloads and publications, separating statistics for download failures and publication failures to enable more granular fault isolation. Introduced new metrics for incoming publication failures and updated existing metrics to accurately reflect the source of issues, supporting faster diagnosis and targeted remediation. Leveraged Java and system design expertise to enhance monitoring granularity, streamline root-cause analysis, and reduce mean time to recovery for remote state management in production environments.
Monthly summary for 2024-11 for wazuh/wazuh-indexer. Delivered Remote Cluster State Monitoring Enhancements to improve observability and reliability of cross-cluster state management. Refactored handling of remote cluster state downloads and publications to separate statistics for download failures and publication failures, and introduced metrics for incoming publication failures. Updated existing metrics to accurately reflect the failure source, enabling faster diagnosis and targeted fixes. This work enhances monitoring granularity, supports root-cause analysis, and reduces mean time to recover for remote state issues in production. Business value: improved incident response, better SLA adherence, and more predictable cross-cluster operations.
Monthly summary for 2024-11 for wazuh/wazuh-indexer. Delivered Remote Cluster State Monitoring Enhancements to improve observability and reliability of cross-cluster state management. Refactored handling of remote cluster state downloads and publications to separate statistics for download failures and publication failures, and introduced metrics for incoming publication failures. Updated existing metrics to accurately reflect the failure source, enabling faster diagnosis and targeted fixes. This work enhances monitoring granularity, supports root-cause analysis, and reduces mean time to recover for remote state issues in production. Business value: improved incident response, better SLA adherence, and more predictable cross-cluster operations.

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