architecture

来源： https://stackoverflow.com/questions/38056786/in-memory-cache-vs-centralized-cache-in-a-distributed-system

来源： https://stackoverflow.com/questions/39485459/microservice-versioning

来源： https://stackoverflow.com/questions/39485459/microservice-versioning

来源： https://stackoverflow.com/questions/62839108/internal-vs-external-mapping-of-ids-to-file-paths-from-function-perspective

问题 I am designing a notification service (server). I can have two kinds of notifications: one which is delivered immediately, and the other is delivered at some time in the future. Is there a framework to handle the future notifications? I know I can write background worker who can for example sample the DB to look for a notification which needs to be sent, but I sure millions tried to solve this problem already and I'd prefer to reuse a proven solution. I didn't decide yet on the framework / DB

问题 We have microservices which work with different, but related data. For example, ads and their stats. We want to be able to filter, sort and aggregate this related data for UI(and not only for it). For example, we want to show to a user ads which have 'car' in their text and which have more than 100 clicks. Challenges: There could be a lot of data. Some users have millions of rows after filtration Services doesn't have all the data. For example, for statistics service ad without stats == non

问题 I am trying to configure a network for character recognition of sequential data like license plates. Now I would like to use the architecture which is noted in Table 3 in Deep Automatic Licence Plate Recognition system (link: http://www.ee.iisc.ac.in/people/faculty/soma.biswas/Papers/jain_icgvip2016_alpr.pdf). The architecture the authors presented is this one: The first layers are very common, but where I was stumbling was the top (the part in the red frame) of the architecture. They mention

问题 I am trying to configure a network for character recognition of sequential data like license plates. Now I would like to use the architecture which is noted in Table 3 in Deep Automatic Licence Plate Recognition system (link: http://www.ee.iisc.ac.in/people/faculty/soma.biswas/Papers/jain_icgvip2016_alpr.pdf). The architecture the authors presented is this one: The first layers are very common, but where I was stumbling was the top (the part in the red frame) of the architecture. They mention

问题 I am trying to configure a network for character recognition of sequential data like license plates. Now I would like to use the architecture which is noted in Table 3 in Deep Automatic Licence Plate Recognition system (link: http://www.ee.iisc.ac.in/people/faculty/soma.biswas/Papers/jain_icgvip2016_alpr.pdf). The architecture the authors presented is this one: The first layers are very common, but where I was stumbling was the top (the part in the red frame) of the architecture. They mention

问题 I am building a Blazor application with a REST API and Web interface. I will also have a monitoring part of the application that will poll data each second from a lot of different data sources. I have created a long running thread in a separate class that simply polls the data I want and it seems to be working fine. The application template I am using is a Blazor ASP.NET Server application. Simply like this: m_pollThread = new Thread(new ThreadStart(PollThread)) { IsBackground = true }; m