Based on the most recent TOP500 rankings, Infiniband (IB) stands out as the dominant network architecture among the top 10 supercomputers. Yet, it primarily employs deterministic routing, which tends to be suboptimal in network traffic balance. While deterministic routing invariably opts for the same forwarding path, adaptive routing offers flexibility by permitting packets to traverse varied paths for every source-destination pair. Contemporary adaptive routing methods in HPC networks typically determine path selection rooted in the switch queue's occupancy. While the queue length provides a glimpse into local congestion, it's challenging to consolidate such fragmented information to portray the full path accurately. In this paper, we introduce Alarm, an adaptive routing system that uses probabilistic path selection grounded in one-way delay metrics. The one-way delay not only offers a more holistic view of congestion, spanning from source to destination, but also captures the intricacies of network flows. Alarm gleans the one-way delay from each pathway via data packets, eliminating the need for separate delay detection packets and clock synchronization. The probabilistic selection hinges on weights determined by the one-way delay, ensuring the prevention of bottleneck links during congestion updates. Notably, routing decisions under Alarm are made per-flowlet. Guided by delay cues, the gap between flowlets is dynamically adjusted to match the maximum delay variation across diverse paths, thereby preventing the occurrence of packet out-of-order. The simulation results show that Alarm can achieve 2.0X and 1.7X better average and p99 FCT slowdown than existing adaptive routing.