
Andrii Kushch contributed to several Grafana repositories, focusing on backend development, cloud integration, and infrastructure as code. He enhanced log ingestion reliability in grafana/loki and grafana/alloy by improving Azure Event Hubs parsing and validation, using Go for robust message handling. In grafana/terraform-provider-grafana, Andrii implemented Azure credentials management and automated resource discovery, leveraging Terraform and HCL to streamline cloud monitoring. He also improved AWS DMS observability in grafana/grafana-aws-sdk by adding new CloudWatch metrics and addressed configuration accuracy through targeted bug fixes. His work demonstrated depth in API integration, configuration management, and CI/CD, resulting in more resilient telemetry and monitoring pipelines.

October 2025: Delivering a targeted bug fix and CI/CD improvement in grafana/grafana-aws-sdk. Implemented a Route53Resolver metric name typo fix and updated the GitHub Actions workflow to use an internal setup action, enhancing metric accuracy and pipeline reliability.
October 2025: Delivering a targeted bug fix and CI/CD improvement in grafana/grafana-aws-sdk. Implemented a Route53Resolver metric name typo fix and updated the GitHub Actions workflow to use an internal setup action, enhancing metric accuracy and pipeline reliability.
July 2025 monthly summary for grafana/jsonnet-libs focused on targeted feature delivery that enhances Grafana alert labeling capabilities. Delivered the withLabels function in mixin-utils/utils.libsonnet to enable adding custom labels to alert rules within specified groups, with an optional filter to selectively apply labels. This work is linked to commit b0386da102fc3e403f84c5b7b3cec49f871e3c43 and supports PR #1459.
July 2025 monthly summary for grafana/jsonnet-libs focused on targeted feature delivery that enhances Grafana alert labeling capabilities. Delivered the withLabels function in mixin-utils/utils.libsonnet to enable adding custom labels to alert rules within specified groups, with an optional filter to selectively apply labels. This work is linked to commit b0386da102fc3e403f84c5b7b3cec49f871e3c43 and supports PR #1459.
Month: 2025-05 — Focused on observability enhancements for the Grafana AWS SDK. Delivered a new monitoring metric for DMS: Added AvailableMemory metric to the AWS/DMS namespace within NamespaceMetricsMap, enabling visibility of available memory for DMS instances. This supports proactive capacity planning, alerting, and faster fault detection. No major bugs fixed this month. Overall impact: improved monitoring coverage for DMS workloads, enabling data-driven incidents and SLA adherence. Technologies demonstrated: AWS SDK integration, Grafana metrics instrumentation, NamespaceMetricsMap configuration, and commit-based change tracking.
Month: 2025-05 — Focused on observability enhancements for the Grafana AWS SDK. Delivered a new monitoring metric for DMS: Added AvailableMemory metric to the AWS/DMS namespace within NamespaceMetricsMap, enabling visibility of available memory for DMS instances. This supports proactive capacity planning, alerting, and faster fault detection. No major bugs fixed this month. Overall impact: improved monitoring coverage for DMS workloads, enabling data-driven incidents and SLA adherence. Technologies demonstrated: AWS SDK integration, Grafana metrics instrumentation, NamespaceMetricsMap configuration, and commit-based change tracking.
March 2025 monthly summary focusing on Azure credentials documentation and resource-definition corrections in grafana/terraform-provider-grafana. Key improvements centered on clarifying descriptions for resource_tags_to_add_to_metrics and resource_id, ensuring accurate guidance and resource scope without API changes, and reducing misconfigurations for Azure credentials usage.
March 2025 monthly summary focusing on Azure credentials documentation and resource-definition corrections in grafana/terraform-provider-grafana. Key improvements centered on clarifying descriptions for resource_tags_to_add_to_metrics and resource_id, ensuring accurate guidance and resource scope without API changes, and reducing misconfigurations for Azure credentials usage.
February 2025: Delivered two key feature improvements in grafana/terraform-provider-grafana, with accompanying docs and schema updates. Azure Metrics Tagging Enhancement adds resource_tags_to_add_to_metrics attribute to allow appending additional tags to Azure metrics during credential configuration, improving organization and filtering in Grafana. AWS CloudWatch Scrape Jobs Static Labels adds predefined static labels to CloudWatch scrape jobs, with updates to docs, resource schemas, and internal models to ensure consistent labeling across metrics. These changes enhance observability, searchability, and governance of metrics in Grafana. No major bugs fixed this month. Technologies demonstrated include Terraform provider development, Go client and schema updates, and comprehensive documentation improvements, reinforcing business value through better metrics management and developer experience.
February 2025: Delivered two key feature improvements in grafana/terraform-provider-grafana, with accompanying docs and schema updates. Azure Metrics Tagging Enhancement adds resource_tags_to_add_to_metrics attribute to allow appending additional tags to Azure metrics during credential configuration, improving organization and filtering in Grafana. AWS CloudWatch Scrape Jobs Static Labels adds predefined static labels to CloudWatch scrape jobs, with updates to docs, resource schemas, and internal models to ensure consistent labeling across metrics. These changes enhance observability, searchability, and governance of metrics in Grafana. No major bugs fixed this month. Technologies demonstrated include Terraform provider development, Go client and schema updates, and comprehensive documentation improvements, reinforcing business value through better metrics management and developer experience.
January 2025 (2025-01) monthly summary for grafana/terraform-provider-grafana. Focused on delivering Azure credentials management capabilities and automated Azure resource discovery, with API client updates and practical usage examples. The month delivered a new Azure credentials resource/data source, AutoDiscoveryConfiguration, and accompanying configurations to streamline credential management and monitoring of Azure resources.
January 2025 (2025-01) monthly summary for grafana/terraform-provider-grafana. Focused on delivering Azure credentials management capabilities and automated Azure resource discovery, with API client updates and practical usage examples. The month delivered a new Azure credentials resource/data source, AutoDiscoveryConfiguration, and accompanying configurations to streamline credential management and monitoring of Azure resources.
October 2024 monthly update: Across grafana/loki and grafana/alloy, delivered robust Azure Event Hubs ingestion improvements and bug fixes that enhance reliability and data quality. Implemented time vs timeStamp handling and validation to prevent malformed messages, reducing ingestion errors and downstream processing issues. Key wins include a bug fix in Loki's Promtail parser to handle messages without a time field, and feature enhancements in Alloy to support timeStamp as an alternative to time with validation. These changes strengthen end-to-end log ingestion, improve operator confidence and enable more resilient telemetry pipelines. The work demonstrates cross-repo collaboration, parser enhancements, input validation, and Azure Event Hubs integration.
October 2024 monthly update: Across grafana/loki and grafana/alloy, delivered robust Azure Event Hubs ingestion improvements and bug fixes that enhance reliability and data quality. Implemented time vs timeStamp handling and validation to prevent malformed messages, reducing ingestion errors and downstream processing issues. Key wins include a bug fix in Loki's Promtail parser to handle messages without a time field, and feature enhancements in Alloy to support timeStamp as an alternative to time with validation. These changes strengthen end-to-end log ingestion, improve operator confidence and enable more resilient telemetry pipelines. The work demonstrates cross-repo collaboration, parser enhancements, input validation, and Azure Event Hubs integration.
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