* Basic Monitoring, instrumentation, health checks
* Distributed logging, tracing
* Ready to isolate not just code, but whole build+test+package+promote for every service
* Can define upstream/downstream/compile-time/runtime dependencies clearly for each service
* Know how to build, expose and maintain good APIs and contracts
* Ready to honor b/w and f/w compatibility, even if you're the same person consuming this service on the other side
* Good unit testing skills and readiness to do more (as you add more microservices it gets harder to bring everything up, hence more unit/contract/api test driven and lesser e2e driven)
* Aware of [micro] service vs modules vs libraries, distributed monolith, coordinated releases, database-driven integration, etc
* Know infrastructure automation (you'll need more of it)
* Have working CI/CD infrastructure
* Have or ready to invest in development tooling, shared libraries, internal artifact registries, etc
* Have engineering methodologies and process-tools to split down features and develop/track/release them across multiple services (xp, pivotal, scrum, etc)
* A lot more that doesn't come to mind immediately
Thing is - these are all generally good engineering practices.
But with monoliths, you can get away without having to do them. There is the "login to server, clone, run some commands, start a stupid nohup daemon and run ps/top/tail to monitor" way. But with microservices, your average engineering standards have to be really high. Its not enough if you have good developers. You need great engineers.
Microservices necessitate the application of a more rigorous set of engineering practices to all service infrastructure components and therefore carry a greater overhead than traditional development methodologies - rigorous engineering does not come free. Whether that trade-off makes sense for any given project is a question of resources and requirements.
I feel two salient points were not mentioned: (1) Popular microservice orchestration/infrastructure management approaches are not universally applicable; their limitations should be recognized before assuming applicability. (2) The webhost is currently down; perhaps the author should have used a scalable or distributed cluster of microservices ;)
I urge everyone to use it to decide whether they really need microservices or not.
When micro services work, it's because they made it easy to verify each of these [obvious] bullet points. For some jobs, file this under premature contemplation.
When other methods work... My top two are "clarity of focus" and "[relative] lots of unnecessary labour". "Lifecycle" takes a coalition third.
Btw - the list is not an invention worth copying. All items in that are not novel or unique, they are general practices that every good engineer would have their own version of. I'd like to see the talk and try to add a few more items to this.