Seems about right to me. Hyper-standardization around few architecture patterns using Kubernetes/Kafka/Microservice/GraphQL/React/OTelemetry etc can roughly cover 95-99% of all typical software development when you add a cloud DB.
Now I know there are ton of different flavors in each of these tech but they will be mostly distraction for employers. With heavy layer of abstraction of above pattern and SLAs by vendors as you say Microsoft/Google/Amazon etc employers will be least bothered vast variety of software products.
I've noticed over the years that those abstractions have moved up a step too. E.g. we used to code our own user auth with OSS, now we use cognito.
At some point it'll become impossible to build stuff off platform because it'll have to integrate to stuff on platform to be viable. Your startup might theoretically be able to run on 3 servers but your customers' first question will be "does it connect to googazure WS?" and googazure WS is gonna be like "you wanna connect to your customers' systems? Pay us. A lot.".
There goes your profit margins.
Then, if your startup is really good googazure WS will clone it.
The technologies you mentioned are merely the framework in which the work is done. 25 years ago none of that was even needed to create software. Now they are needed to manage the complexity of the stack, but the actual content is the same as it used to be.
Now I know there are ton of different flavors in each of these tech but they will be mostly distraction for employers. With heavy layer of abstraction of above pattern and SLAs by vendors as you say Microsoft/Google/Amazon etc employers will be least bothered vast variety of software products.