In March 2026, the Cast AI Terraform provider delivered two high-impact features and stabilized metrics management, delivering tangible business value through improved autoscaling, observability, and IaC reliability. Key features delivered: - JVM Memory Optimization in Workload Scaling: Added a new jvm block to the resource schema to optimize heap sizing for JVM applications by adapting memory allocation based on runtime metrics, enabling more predictable scaling and better resource utilization. (Commit: 7033f41597d8b324fd039c4c74a620d6f1b91fa8) - Prometheus Custom Metrics Data Sources Terraform Resource: Introduced a new workload_custom_metrics_data_source resource to manage Prometheus data sources, supporting presets (e.g., JVM) and manual metric definitions with full CRUD and enhanced import handling. Read uses a List endpoint and import supports the format cluster_id/data_source_id; TypeSet was adopted to reduce false diffs. (Commit: 50e2f1dda058812b014aef6e06f401532173a0bd) Major bugs fixed: - Terraform import reliability for custom metrics data sources: refined read path and origin handling to ensure manual metrics are correctly reflected during import, eliminating prior loss of manual metrics. - Stability of metric diffs: switched metric blocks to TypeSet to prevent spurious ordering diffs when API results return metrics in different orders. Overall impact and accomplishments: - Improved autoscaling decision accuracy for JVM-based workloads and more efficient resource usage. - Stronger observability and metrics governance through centralized management of Prometheus data sources. - Reduced operational toil with robust, repeatable IaC workflows and fewer Terraform plan/apply diffs. Technologies/skills demonstrated: - Terraform provider development, resource schema design, and CRUD implementations. - Prometheus metrics integration and data source management. - REST API integration (WorkloadOptimizationAPI) and API-origin-aware read handling. - Data modeling improvements (TypeSet vs TypeList) to improve Terraform diff stability.

February 2026 — Cast AI k8s-agent: Delivered significant CRD enhancements to CustomMetricsExporter, improving metrics collection and observability. Focused on configurability via transformer configurations and detailed status reporting, enabling richer data source visibility and easier troubleshooting. No critical bugs reported this month; changes integrated into the release pipeline to support production-scale monitoring and future improvements in data quality and reliability.