美团技术沙龙03 - 数据权限管理方案
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美团崇尚用数据说话，也非常重视数据的安全性，从数据生产到应用都需要对数据从数据库到字段值域粒度的权限管理。在此过程中，如何管理各个粒度数据的权限，并在安全保障机制与数据使用效率间的平衡，是我们面临的主要问题。本次分享将会介绍美团数据权限管理的整体方案，以及目前已落地实现的功能和将来规划。
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美团配送自15年开始发展到现在一年多时间，订单从0到几百万单；这个高速发展的速度，对技术提出了高并发、高可用、高性能等很多的挑战，特别是O2O行业的即时性，使上面的挑战相较于一般的交易系统更加突出。本次分享将为大家介绍美团配送履约团队应对上面的挑战整个架构升级的优化历程。
美团点评沙龙012-初创电商的物流摸索
餐馆无忧是由来自百度、豌豆荚等IT企业、知名大型餐饮连锁企业高管联手打造，致力于整合、优化餐饮企业食材供应链的互联网络科技公司。 作为线下O2O的初创公司，在接触到物流领域后，如何从零起步，在有限资源下，低成本，低技术门槛的优化物流供应链。准时高效的将食材配送到客户手中。
美团点评技术沙龙011 - 团购系统流量和容量评估实践
百万级的购买用户数，活动带来的瞬时流量可能是平时流量的几十倍，这对我们的系统来说是一个不小的挑战。本次分享的主要内容是一次大促活动前的系统压力测试、容量评估和分析实践。
美团点评技术沙龙011 - 客户端用户体验数据量化
对移动端App用户来说，最直观的用户体验包括加载快慢、流量消耗、崩溃率、内存和CPU占用等。随着业务功能越来越复杂，对于用户体验优化问题，客户端开发同学常常无从下手。 因此，客观地量化用户体验就显得尤为重要。如何从多个维度通过性能数据来客观量化用户体验，如何在公司内构建移动客户端测试工具开发流程闭环，与各业务线QA同学合作，让开发的测试工具发挥最大的落地价值，以及移动客户端云测平台架构设计，是本次分享的主要内容。
美团点评技术沙龙011 - 移动app兼容性测试工具Spider
移动App的兼容性测试及回归测试需要花费QA同学大量的时间做重复的数据制造和数据准备工作，通过测试工具Spider将数据制造、场景重现的成本降到最低，极大的提高QA的测试效率，本次分享的主要内容是Spider的功能及实现。
美团点评技术沙龙010-美团Atlas实践
介绍美团中间件 Atlas 在360的开源版本的演进历程，内容包括美团 Atlas 在架构体系，性能优化，测试体系，运维体系以及关键业务中上线的一些经验；同时会分享在开源软件基础上维护，开发的一些感受。
美团点评技术沙龙010-Redis Cluster运维实践
介绍Redis Cluster在小米的运营体系，Redis常见问题和Trouble shooting; Redis Cluster的容量规划；目前大规模集群面临的问题，以及正在规划的Redis基于Docker容器运维管理。
美团点评技术沙龙09 - 美团外卖中的单量预估及列表优化
经过几年的发展，目前每天美团外卖的已是一个数百万单量级的大应用。在此报告中我们一起探讨其中的几个问题： 1，订单量的预测：针对不同地理位置级别，如果对日单量进行建模，分析有哪些因数会影响单量，如何提高预测精度的同时，保证模型的可解释性； 2，主流量的优化：列表是美团外卖平台的主要流量入口，利用技术手段更好地完成了用户订餐需求和商家外卖供给的个性化匹配，提升用户点餐体验和流量使用效率。
美团点评技术沙龙09 - 美团配送智能调度实践
美团配送智能调度系统是针对外卖配送业务，支持超大数据量、多目标、实时调度需求的新一代调度系统。系统依托大数据和实时云计算平台，采用多目标动态优化、实时预测、并行仿真等创新技术手段，每天能处理 2,000,000订单 * 100,000骑手的实时调度任务，并大幅提升配送效率、降低配送时长。在本报告中，我们将探讨外卖配送问题的难点以及我们主要采用的技术手段，未来的优化方向等技术热点问题。
美团点评技术沙龙09 - 外卖O2O的用户画像实践
美团外卖经过3年的飞速发展，达到了上亿用户，每天数百万订单的规模，留存了大量的用户数据。如何充分挖掘这些用户数据以更好地帮助外卖的发展是一个重大课题。同时外卖的高频O2O的特点也带来了一些新的问题需要解决。本报告将分享我们在助外卖吸引新的客户、留存已有用户以及用户订单数据挖掘的实践。
美团点评技术沙龙09 - 一个用户行为分析产品的设计与实现
神策分析是一个可以私有化部署的用户行为分析产品，支持每个实例每天十亿级别用户行为数据的秒级导入与秒级查询延迟。本次分享会以产品的功能设计与性能指标为出发点，详细介绍整个系统的技术选型、整体架构、数据模型、技术实现，以及我们团队一年多的开发演进过程中所遇到的问题。
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美团技术沙龙03 - 数据权限管理方案
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