Autonomous driving paper index
Site Reliability Engineering Practices for Enhancing Reliability of Large-Scale Cloud Services
One-line summary
Site Reliability Engineering (SRE) treats operations as a software problem to keep massive cloud services fast, scalable, and resilient.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Site Reliability Engineering (SRE) treats operations as a software problem to keep massive cloud services fast, scalable, and resilient. This paper breaks down how SRE bridges the gap between development and operations, using service-level management tools-SLIs, SLOs, and error budgets-to balance feature velocity with system uptime. This paper examines how Site Reliability Engineering (SRE) operates in practice, focusing on how teams handle outages, deploy new code safely, and plan for future traffic spikes. To make these practices work at scale, teams need the right technical tools. Because of this, we look at how to monitor systems using metrics, logs, and traces, and how to use automation and AI to fix problems automatically. Finally, we look at the human side of the job. We show how good team training and clear documentation keep engineers from burning out while keeping the system running smoothly. [1]
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