Month: 2026-05 | Focused on delivering a reproducible testing harness for performance spike analysis in the holmesgpt repository, with emphasis on VictoriaMetrics MySQL handlers.

April 2026: Implemented optional API key authentication for HolmesGPT HTTP endpoints, enhancing security with minimal overhead. Health endpoints remain publicly accessible. The feature is implemented via a server.py middleware gated by HOLMES_API_KEY; if HOLMES_API_KEY is not set, auth is disabled. Documentation updated (docs/reference/environment-variables.md, docs/reference/http-api.md) and usage examples added. Added 11 tests covering enabled/disabled modes, valid/invalid keys, and both header formats; verified via a live Docker deployment. Commit 44fc7c0b0bc0bf0a2d61ce2b70207c7ecd3ff5d5 (PR #1948). No major bugs fixed this month; security hardening and access control improvements delivered business value by reducing unauthorized access and blast radius. This aligns with security best practices and improves trust with customers.

February 2026 monthly summary for the Percona Helm Charts team. Focused on enhancing the release workflow to streamline deployment of Percona Helm charts and the PMM High Availability (PMM-HA) feature, enabling more reliable and repeatable releases.

January 2026 performance highlights focused on strengthening observability, reliability, and resource efficiency across PMM ecosystem. Delivered high-impact features in Helm charts, PMM core, and Grafana dashboards, enabling faster debugging, scalable operations, and improved security monitoring. The work aligns with business goals of reducing downtime, improving cross-service visibility, and optimizing cloud resource usage.

In December 2025, delivered major PMM PostgreSQL monitoring enhancements, expanded HAProxy monitoring and deployment capabilities, and unified Prometheus scraping across ClickHouse, ClickHouse Keeper, and VictoriaMetrics. These changes improve reliability, observability, deployment consistency, and automation, delivering deeper metrics and business value across the stack.

November 2025 performance summary for PMM HA and related charts. The month focused on stabilizing and scaling deployments, improving data reliability in dashboards, and accelerating cloud-native management through operator-based patterns and automated workflows. Key outcomes include:

October 2025 monthly summary: Delivered two business-impact improvements across Percona’s Grafana dashboards and PMM platform, focusing on documentation accuracy and backup alert reliability. Key deliverables include updating PMM Grafana dashboard documentation links to reflect current MySQL/MariaDB versions and directing users to the latest PMM plugin documentation, and enhancing MongoDB PBM backup alerting to reduce noise while improving visibility of cluster-wide backup health. These changes improve onboarding efficiency, reduce support overhead, and strengthen proactive maintenance signals for operators. Technologies demonstrated include Grafana/PMM documentation practices, ProMeThus-like alert optimization concepts (max_over_time for backup age), PromQL-based alert templating, and cross-repo collaboration across grafana-dashboards and pmm. Overall impact: clearer guidance for users, more reliable backup alerts, and a measurable uplift in operator confidence and response quality.

September 2025 monthly summary for percona/pmm. Focused on improving documentation to reduce setup friction and ensure alignment with current MySQL/MariaDB versions and permissions. Delivered a refreshed PMM setup guide for MySQL, with clarified user permissions, version compatibility, data collection sources, and setup workflows. This work directly supports smoother deployments and reduces misconfigurations, contributing to faster onboarding and lower support load.

Month: 2025-08. Focused on improving PMM documentation and backup monitoring through targeted updates in percona/pmm. Delivered clear guidance on MySQL administrative connections and introduced a Stale PBM backups alert template to enhance backup reliability and operator response.