
Yurii Kondrakov developed advanced monitoring and alerting features across the canonical/mysql-operator and canonical/postgresql-operator repositories, focusing on production reliability for MySQL and PostgreSQL workloads. He implemented Prometheus alert rules and Grafana dashboards to detect issues such as MySQL Group Replication failures, PgBackrest backup errors, and Patroni split-brain scenarios, integrating topology awareness and automated tests to ensure accuracy. Using Python and YAML, Yurii standardized observability practices and updated documentation, enabling faster incident response and safer high-availability configurations in Kubernetes environments. His work demonstrated depth in DevOps, CI/CD, and monitoring, delivering robust, maintainable solutions for database operator teams.
February 2026 monthly summary for the Postgres operators. Delivered topology-aware Patroni alerting to detect multi-primary and split-brain scenarios across two repositories, with Juju topology-aligned alert rules, updated Prometheus scrape configurations, and accompanying tests. These enhancements improve observability, reduce MTTR for critical Postgres deployments, and enable safer multi-region/high-availability configurations in Kubernetes. Overall, the work strengthens uptime, operator confidence, and system reliability for customers relying on automated Postgres HA.
February 2026 monthly summary for the Postgres operators. Delivered topology-aware Patroni alerting to detect multi-primary and split-brain scenarios across two repositories, with Juju topology-aligned alert rules, updated Prometheus scrape configurations, and accompanying tests. These enhancements improve observability, reduce MTTR for critical Postgres deployments, and enable safer multi-region/high-availability configurations in Kubernetes. Overall, the work strengthens uptime, operator confidence, and system reliability for customers relying on automated Postgres HA.
October 2025 focused on strengthening PostgreSQL backup observability and reliability across two core repositories. Key features delivered include PgBackrest monitoring, metrics, dashboards, and alerting with tests and documentation updates. No major bugs fixed this month; maintenance included CI workflow improvements to support these features. Impact: improved data protection, faster issue detection, and standardized monitoring across operators. Technologies demonstrated include Prometheus exporters, Grafana dashboards, alerting rules, unit tests, CI/workflow updates, and thorough documentation.
October 2025 focused on strengthening PostgreSQL backup observability and reliability across two core repositories. Key features delivered include PgBackrest monitoring, metrics, dashboards, and alerting with tests and documentation updates. No major bugs fixed this month; maintenance included CI workflow improvements to support these features. Impact: improved data protection, faster issue detection, and standardized monitoring across operators. Technologies demonstrated include Prometheus exporters, Grafana dashboards, alerting rules, unit tests, CI/workflow updates, and thorough documentation.
Month: 2025-09 — Delivered monitoring and reliability enhancements for the canonical/mysql-operator, with a focus on proactive visibility into MySQL Group Replication and improved operator usability. The work strengthens production readiness and accelerates incident response through targeted alerts, documentation, and tests.
Month: 2025-09 — Delivered monitoring and reliability enhancements for the canonical/mysql-operator, with a focus on proactive visibility into MySQL Group Replication and improved operator usability. The work strengthens production readiness and accelerates incident response through targeted alerts, documentation, and tests.

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