partially agree. In another repo, the same vulnerability was only fixed after years ...

https://github.com/watson-developer-cloud/assistant-simple/c...

I wrote about security threats for chatbots

https://floriantreml.medium.com/security-threats-and-securit...

awesome, many thanks!

sure, that's a good point. and scaling a one-node-cluster to a multi-node-cluster is also nearly no effort on AWS. but for the topics where we can predict the computing power for the next months, we migrated everything to baremetal.

fully agree - that's how we started - getting some servers up and running is quick and easy, but as soon as you can foresee what computer power you will need in the next months and years, baremetal is surely the better choice. If you can deal with the technical stuff, of course.

> The only people who are optimizing for three-figure costs every month are either:

In our case, we are doing the same for around 50 clients, so it sums up :-)

> Who would do this and why? Why would you have a load balancer in front of a single server?

afaik, for publishing something to the outside world from EKS, that's the only way - even for single node clusters

> In our case, we are doing the same for around 50 clients, so it sums up :-)

Wow, so AWS is actually a better value for you than for most people. Being able to easily script and deploy your infra is hugely valuable when you have so much overhead.

We heavily use Elastic Beanstalk for dozens of running services, and it's amazing. We don't think about infra at all.

> for publishing something to the outside world from EKS

But why are you using Kubernetes at all? What problem is it solving for you?

See also: https://endler.dev/2019/maybe-you-dont-need-kubernetes/

We built a software (Botium Box - https://botium.ai) mainly for On-Premise use, and we delivered as Kubernetes, Openshift, Docker. We added a hosted plan later and thought it would be a good idea to just use managed Kubernetes for this offer as it didn't require much coding changes.

We have to support multiple clouds (Azure and AWS), but with Rancher, it is really easy in usage - setting up new clusters, deploying new services, restarting, logging etc. But now that we built up container technology know-how we are transitioning every service where we don't need the scaling capabilities of Kubernetes to plain old docker-compose on baremetal.

Thanks for the interesting article, didn't know about Nomad and will try it for sure.

thanks for this valuable input

nobody asks how to make money if you already have a hell lot of money and a growth rate like clubhouse. there is plenty of venture money available, more that can be spent.

After several months of beta test we now published Botium Speech Processing version 1.0.0. It was proven to work in several client-specific speech processing tasks, mainly related to automated testing of voice interfaces.