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...It represents desired system state in a declarative model and coordinates agents to converge reality with that model, handling steps like install, start, verify, and promote. The system provides auditing and versioning of deployments, so operators can trace what changed, when, and why. A central console and APIs allow visualizing the topology, triggering rollouts, and performing controlled actions such as canaries and rolling updates. Under the hood it coordinates distributed nodes, tolerating partial failures while continuing to drive toward the target state. By separating deployment recipes from environment specifics, glu encourages repeatable, testable releases for multi-service stacks.