Monthly work summary for 2025-12 highlighting delivery of GPU High-Frequency Metrics Integration Tests for CloudWatch Agent in aws/amazon-cloudwatch-agent-test, including test cases and validation logic, and improvements to test framework organization.

November 2025 delivered three high-impact improvements across the AWS Observability stack, delivering measurable business and operational value. Highlights include: (1) GPU metrics opt-in for the CloudWatch Agent enabling high-frequency collection with YAML-configurable intervals and a processor to group GPU attributes; (2) integration-test hardening in the test repo by introducing JSON schemas for PersistentVolume and PersistentVolumeClaim to improve logging and metrics validation, reducing flaky failures; (3) configurable GPU metrics exporter interval in Helm charts, enabling flexible DCGM exporter intervals based on accelerated_compute_gpu_metrics_collection_interval to balance telemetry fidelity and overhead. These changes collectively increase observability fidelity, reliability of tests, and configurability for GPU workloads.

In 2025-10, delivered two major features in amazon-contributing/opentelemetry-collector-contrib that enhance GPU metrics collection and CloudWatch metric analysis. Key outcomes include increased configurability for GPU monitoring via accelerated_compute_gpu_metrics_collection_interval (default 60s) and improved metric visualization through EMF exporter gauge-to-histogram conversion with configurable distribution mappings. These changes improve AWS container insights receiver flexibility, enable more detailed performance analysis in CloudWatch, and support more accurate cost/performance tuning. No major bugs fixed this month. Technologies demonstrated include Go-based metrics pipelines, configuration management, and CloudWatch/EMF integration.