RMel

RMel, short for Resource Modeling and Evaluation Language, is a domain-specific language and runtime designed to specify resources, constraints, and optimization objectives in information technology environments. It helps operators model hardware, software services, and cloud accounts as abstract resources, with locality constraints, budgets, and service-level agreements, and to generate implementable plans that meet those requirements.

RMel comprises a declarative modeling syntax, a modular execution engine, and adapters to common infrastructure tools. Models define resources (CPU, memory, storage, network, licenses, cloud projects), constraints (capacity, data residency, budgets, compliance), and objectives (minimize cost, maximize utilization, meet SLA targets). Actions describe changes such as scaling, migration, or decommissioning.

For execution, RMel translates models into solver-compatible representations and can run in planning mode (offline optimization) or in live-enforcement mode. It supports internal solving and interfaces with external solvers. RMel interoperates with cloud platforms and orchestration tools, and can export plans as Kubernetes manifests or Terraform modules.

Adoption and ecosystem: RMel is used in data centers and multi-cloud deployments to plan and enforce resource usage while reducing cost and improving reliability. The project maintains open-source repositories and documentation, with optional commercial extensions. Limitations include the need for modeling expertise and performance considerations for very large models. RMel sits among domain-specific languages for resource management and optimization and complements declarative infrastructure approaches.