MongoDB Atlas for Government already provides a flexible way for the U.S. public sector to deploy, run, and scale modern applications in the cloud within a dedicated environment built for FedRAMP Moderate workloads. Achieving FedRAMP High and IL5 will allow MongoDB Atlas for Government's secure, reliable, and high-performance modern database solutions to be used to manage high-impact data, such as in emergency services, law enforcement systems, financial systems, health systems, and any other system where l ...

最近，我发现身边很多DBA朋友"消失"了——有的转行做了架构师，有的跳槽去了业务部门，还有人干 脆离开了IT行业。他们的离开让我不禁思考：为什么曾经在数据库领域深耕的"技术宅"们，如今却纷 纷"弃库而去"？ 是技术迭代太快，还是我们走错了方向？ 1.国内DBA的困境 一位老DBA曾自嘲："我们就像数据库的'保姆'，从装系统、调参数、写SQL到扛故障，样样都得会， 但样样都不精。"这句话道出了国内DBA的普遍现状——技术广度远超深度。 职责泛化：国内企业往往要求DBA"全能"。从安装配置、备份容灾到性能优化，甚至业务需求分析， DBA被赋予了太多角色。而国外DBA则更注重细分领域，比如Oracle调优专家、MySQL集群架构师 等。 技术浮躁：面对云原生、分布式数据库的浪潮，许多DBA疲于学习新工具，却忽视了底层原理的钻 研。一位资深DBA坦言："会用工具不等于懂技术，就像会开车的司机未必懂发动机原理。" 价值倒挂：国内许多DBA仍被视为"救火队员"，薪资与复杂度不匹配，而国外专精型DBA因解决核心 问题（如优化一条SQL节省数百万硬件成本）被视为"技术资产"。 2.技术深耕 广度是生存的基础，深度才是突破的天 ...

UKRAINE - 2021/04/29: In this photo illustration, a MongoDB logo seen displayed on a smartphone and ... More a pc screen. (Photo Illustration by Pavlo Gonchar/SOPA Images/LightRocket via Getty Images)SOPA Images/LightRocket via Getty Images MongoDB (NASDAQ: MDB), a prominent database management firm, recently reported impressive Q1 results that greatly surpassed analyst predictions. The company reported adjusted earnings of $1.00 per share on revenue of $549 million, easily exceeding consensus forecasts of ...

Core Viewpoint - MongoDB is set to report earnings on June 4, 2025, with historical data indicating a tendency for negative stock reactions post-earnings announcements, as evidenced by a 55% decline rate over the past five years [1][3]. Earnings Estimates - Consensus estimates predict earnings of $0.66 per share on revenues of $527.5 million, compared to $0.51 per share on sales of $450.6 million in the same quarter last year [3]. - MongoDB's current market capitalization stands at $15 billion, with $2.0 billion in revenue over the last twelve months, alongside an operating loss of $216 million and a net loss of $129 million during the same period [3]. Historical Performance - Over the last five years, there have been 20 earnings data points for MongoDB, with 9 positive and 11 negative one-day returns, resulting in positive returns approximately 45% of the time [6]. - The median of the 9 positive returns is 19%, while the median of the 11 negative returns is -10% [6]. - The percentage of positive returns drops to 36% when considering data from the last three years [6]. Trading Strategies - Event-driven traders can utilize historical patterns to inform their strategies, either by positioning themselves before earnings releases or analyzing the correlation between immediate and medium-term returns post-release [2][4]. - A less risky strategy involves understanding the correlation between short-term and medium-term returns, allowing traders to position themselves accordingly based on positive 1D returns [4][5].