Microbursts in Data Centers

Impact, Detection and Measurement

Modern data centers increasingly support latency-sensitive and performance-critical workloads across industries such as finance, healthcare, defense, research, and AI/ML. In these environments, even brief network disruptions can have outsized operational and business impact. One of the most difficult—and most damaging—sources of performance degradation is the microburst: an extremely short spike in traffic, often lasting only milliseconds, that can overwhelm switch buffers and trigger packet loss, retransmissions, and latency.

This white paper explains what microbursts are, why they occur, and why conventional monitoring tools often fail to detect them. It explores common microburst drivers such as bursty application behavior (including distributed deep learning training), fan-in traffic patterns, TCP congestion dynamics, ACK compression, and OS/NIC batching optimizations. Despite their short duration, microbursts can significantly degrade application performance, increase mean time to resolution (MTTR), and lead teams to misdiagnose root causes—often resulting in costly but ineffective bandwidth upgrades.

To address this challenge, cPacket introduces a real-time microburst detection and measurement approach using High Resolution Counters (HRCs) and cBurst, enabling millisecond- and microsecond-level visibility at line rate (up to 100Gbps). Unlike low-resolution tools that average traffic over seconds and mask microburst events, cPacket's solution allows NetOps teams to detect microbursts as they occur, quantify their severity and duration, and identify the specific traffic contributors responsible. This enables faster troubleshooting, better workload balancing, improved SLA tracking, and more cost-effective network planning.