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Log data is critical to applications and the management and analysis of log data is a hot research topic. Existing log managements are normally tightly integrated with applications themselves, which may lead to problems including performance, local storage efficiency, security and non realtime functionality. To solve these problems, we present a SaaS method which shifts writing log data from local disk to clouds, at the same time the log management and analysis functionalities are also done by a cloud. We analyze two architectures to implement this method which are Shift-Log-by-WebService and Shift-Log-by-ActiveMQ. Initial experiments show the efficiency of later one. In the future, we can apply this tool to application systems which are based on web and database systems to improve their performances.