Bifalgorithm post

"docker versus kubernetes docker puts your application and everything it needs into a container so it can run the same way on your laptop or on a server kubernetes manages lots of these containers and if more users arrive kubernetes can run more of them Now tell me CI vs CD, what is the difference? CI automatically checks your code whenever you make changes. For example, it can run tests and tell you if your new code broke something. CD takes the code that passed those checks and helps release it to the users. And DevOps vs. MLOps? DevOps is about getting normal software into production and keeping it running properly. MLOps does the same for machine learning but now you have to manage things like data and continuous training of models. And MLOps versus LLMOps? MLOps is for machine learning systems in general, whereas LLMOps is specifically for applications built around large language models. In LLMOps, you may also need to manage prompts, AI evaluations, token costs, and answer quality of the system. Monitoring versus observability, what's the difference? Monitoring tells you something is wrong. Maybe your app became slow or too many requests are failing. Observability helps to figure out why it is wrong by giving you more information about it. And logs versus metrics? Logs are records of individual things that happen like an error in application. Metrics are numbers that summarize what is happening like 5% of requests that failed."

"docker versus kubernetes docker puts your application and everything it needs into a container so it can run the same way on your laptop or on a server kubern…