I don't want advocate one way or another (micro vs. monoliths) because tomato tomato. However here are a few arguments in defense of microservices regarding these three signs you commented:
1. Microservices do not have some inherent property of having to duplicate data. You can have data in single source and deliver that data to anyone who needs it through an API. There are infinitely many caching solutions if you are worried about this becoming a bottleneck
2 and 2.5. There are tools for microservice architectures that counter these problems to a degree, mainstream example being containers and container orchestration (e.g. Docker and Kubernetes). One can even make an argument that microservices force you to build your systems so they are more robust than your monolith would be. If the argument for monoliths is that it's easier to maintain reliability when every egg is in one basket then you are putting all your bets into that basket and it becomes a black hole for developer and operations resources, as well as making operations evolution very slow
3. There are again tools for handling data and "syncing" (although I don't like the idea of having to "sync") the services, for example message queues / streaming processing platforms (e.g. Kafka). If some data or information might be of interest to multiple services, you should then push such data to a message queue and consume it from services that need it. The "syncing" problem sounds like something that arises when you start duplicating your data across services which shouldn't happen (see my argument on 1.)
Again not to say microservices are somehow universally better. Just coming into defense of their core concepts when they get unfairly accused