Project

Reverse Dependencies for deadline_machines

The projects listed here declare deadline_machines as a runtime or development dependency

0.02
The project is in a healthy, maintained state
BreakerMachines is a production-ready circuit breaker implementation for Ruby that prevents cascade failures in distributed systems. Built on the battle-tested state_machines gem, it provides a clean DSL, thread-safe operations, multiple storage backends, and comprehensive introspection tools. Un...
2021
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0.01
The project is in a healthy, maintained state
ChronoMachines offers a flexible and configurable solution for handling transient failures in distributed Ruby applications. It provides powerful retry strategies, including exponential backoff and full jitter, with customizable callbacks. Features optional Rust-powered native performance on CRub...
2021
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0.0
The project is in a healthy, maintained state
BehaviorMachines runs behavior trees whose nodes follow the behavior-tree pattern: Sequence, Fallback, their reactive variants, thresholded Parallel, IfThenElse, WhileDoElse, and the usual decorators. Every running leaf the tree abandons is halted exactly once, in the same call, so leaves can own...
2021
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2026
0.0
The project is in a healthy, maintained state
Fault injection for chaos engineering: arms a named experiment that makes a dependency fail, stall or lie for a share of calls, so the breakers, retries and budgets around it can be shown to work. Bound to Ruby from the zero-dependency rogue-machines crate. Disarmed by default, and every experime...
2021
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0.0
The project is in a healthy, maintained state
A supervision tree that restarts what died the way OTP would: one_for_one, one_for_all or rest_for_one, bounded by a restart intensity that escalates instead of thrashing. The decisions come from the no_std supervisor-machines crate; Ruby owns the threads, the restart backoff comes from chrono_ma...
2021
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0.0
The project is in a healthy, maintained state
ThrottleMachines provides ultra-thin, elegant rate limiting with temporal precision for distributed systems.
2021
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2026