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Trust-Weighted Progressive Deployment for Safety- and Finance-Critical Distributed System

Author(s) Ronak Indrasinh Kosamia
Country United States
Abstract Continuous delivery pipelines have significantly accelerated modern software development by enabling rapid feature delivery and iterative system improvement. Progressive deployment strategies such as canary releases, feature flags, and staged rollouts allow organizations to minimize operational risk by gradually exposing software changes to production environments. While these techniques work effectively for general web services, systems operating in safety-critical and finance-critical environments present unique reliability challenges that conventional rollout strategies do not fully address.
Distributed systems deployed across heterogeneous environments frequently experience asymmetric failure impacts. A deployment error affecting a financial transaction service may disrupt payment processing for thousands of users, while a similar failure in a low-priority telemetry system may have minimal operational consequences. Likewise, connected vehicle platforms and large-scale mobile financial applications operate across diverse device types, network conditions, and geographic infrastructure that introduce significant variability in system reliability.
This paper proposes a trust-weighted progressive deployment framework that integrates operational telemetry and reliability metrics into rollout decision logic. Instead of relying solely on percentage-based exposure strategies, the proposed system assigns dynamic trust scores to deployment targets based on historical stability indicators and real-time telemetry signals. Deployment progression decisions are then made using aggregated trust thresholds that prioritize lower-risk operational segments before gradually exposing high-impact systems.
Simulation experiments modeled on production telemetry characteristics demonstrate that trust-aware rollout sequencing significantly reduces exposure of high-risk segments during faulty releases while maintaining deployment velocity comparable to traditional progressive delivery strategies. The framework therefore provides a practical mechanism for integrating risk-aware decision making into modern continuous delivery pipelines.
Keywords continuous delivery, progressive deployment, canary releases, distributed systems reliability, mobile systems, software deployment safety
Field Engineering
Published In Volume 3, Issue 6, June 2022
Published On 2022-06-09
DOI https://doi.org/10.70528/IJLRP.v3.i6.2210
Short DOI https://doi.org/hb49x9
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