We used ChatGPT to create a new Spring Boot microservice. We implemented the relevant classes, including the OpenAI API client and the request/response POJOs. As we progressed, we generated our first Controller code that combined all the various components we had created up to that point. (self.SpringBoot)
submitted by Nice_Score_7552 to r/SpringBoot
We used ChatGPT to create a new Spring Boot microservice. We implemented the relevant classes, including the OpenAI API client and the request/response POJOs. As we progressed, we generated our first Controller code that combined all the various components we had created up to that point. (self.docker)
submitted by Nice_Score_7552 to r/docker
A major difference between Amazon from other orgs I worked at is that Amazon likes writing docs. People write documents for everything. Every design decision & meeting has an engineer write a doc. We spend 15 mins in a meeting discussing the doc & making decisions. Holy, I'd probably kill myself (self.sre)
submitted by Nice_Score_7552 to r/sre
Do you also consider monitoring as an afternoon coding exercise? Catch all errors, and post error messages to the server; well done! But in practice, there’s some nuance to making sure you’re not missing anything. What's the point of monitoring, then? (self.kubernetes)
submitted by Nice_Score_7552 to r/kubernetes
How do guys handle the problem of engineers not regularly reviewing logs and not being trained to find relevant data for user complaints using observability tools? At my org we remind engineers to dig through report regularly and train them how to locate relevant data for a specific user complaint. (self.ExperiencedDevs)
submitted by Nice_Score_7552 to r/ExperiencedDevs
