RetryGuard: Preventing Self-Inflicted and Attack-Driven Retry Storms in Cloud Applications
RetryGuard addresses how default retry patterns in auto-scaled microservice architectures can cascade into self-inflicted or attacker-triggered denial-of-service, a growing availability risk in cloud-native estates.
Summary written by editorial AI · Source link below
arXiv:2511.23278v2 Announce Type: replace-cross Abstract: Modern cloud applications are built from independent microservices, offering scalability and usage-based billing. However, their reliance on independently-operating auto-scalers introduces coordination challenges. Default retry patterns can trigger "retry storms" during service miscoordination or adversarial overload, amplifying load, latency, and resource billing. These storms can cause either self-inflicted Denial-of-Wallet (DoW) or am
Editorial Analysis
Cloud-native enterprises risk unplanned outages and cost spikes when uncoordinated retry logic across microservices amplifies transient failures into full cascading failures.
Review retry and circuit-breaker configurations across all production microservices to prevent retry-storm cascades.
Misconfigured retry logic in cloud microservices can trigger self-inflicted outages that look indistinguishable from external attacks.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
More from the Cloud Desk
- Hundreds of leaked AWS keys give full control over corporate accounts21 Aug
- Securing Filesystems for Confidential Computing21 Aug
- AWS Network Firewall now supports rule hit count20 Aug
- Implement custom authentication for tools integration using request Lambda interceptor in AgentCore Gateway18 Aug
- How to Spot and Stop Rogue Device Joins18 Aug