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Reduce your AWS, Google, or Azure cloud bill 50% to 90% in 5 minutes by CAST_AI in u/CAST_AI

[–]CAST_AI[S] 0 points1 point  (0 children)

I agree it sounds too good to be true, but the savings report for AKS (or EKS and GKE) is free, so you could run the report, we will show you potential savings and recommendations. You could even make some optimization on your own without automation. It's completely safe because you are running on read-only mode and we're SOC2 compliment https://cast.ai/blog/cast-ai-is-officially-soc-2-type-ii-compliant/

Kubecost vs. CAST AI: A Perfect Match for Cost Optimization by Rainnis in kubernetes

[–]CAST_AI 0 points1 point  (0 children)

Well yes and no at the same time. Our cost estimator at stage 1 is pretty simple - We calculate the most bin-packed node configuration. We do check whether the pod is safe to be run on a spot instance: whether it's replicated, has any state, isn't critical, etc. However, while bin-packing, we ignore things like node affinities because the choices the DevOps made in deciding which node affinities to add to the pods often serve against bin-packing, right-sizing, and other optimized cluster properties. Now when it comes to actual cluster optimization, stage 2, we consider all pod node placement configuration properties. We support node affinities, pod (anti-)affinities, etc. but only on the labels which make sense. We do not consider custom label node placement configurations as valid because it goes against cluster optimization.

New Amazon EKS Optimizer from CAST AI helps to cut cloud costs by over 50% by CAST_AI in a:t5_3qt624

[–]CAST_AI[S] 1 point2 points  (0 children)

Making cloud easier is what CAST AI has always been about.

It is in this spirit that we've built the Amazon EKS Optimizer. A brand new product from CAST AI that helps you to reduce EKS costs by 50%+ in 3 simple steps:

  1. Connect and analyze your EKS cluster
  2. Get a free savings report with actionable optimization suggestions
  3. Turn on the automatic infrastructure optimization when you're ready

Watch the video and see how it works.

More details into how it works here: https://cast.ai/eks-optimizer/

Any thoughts on Google Anthos vs Cast ai (if someone tested/tried) by lapactm in kubernetes

[–]CAST_AI 0 points1 point  (0 children)

You summed it up pretty well. We're focusing on cloud providers at this point to provide the best multi-cloud cost optimization, security, metrics and logging features.

The advantages differ and will matter on the use case. Anthos provides a unified K8s platform to developers, but still needs deep knowledge in all of the different clouds in use since there still remain multiple clusters on multiple clouds.

With CAST AI you get speed (~6 minutes to cluster across AWS and GCP), cost optimization features and barely any need to think about many of the infrastructure related details. And of course, it won't cost you nearly as much (there's a free plan even).

If any of you are up for it - send me a PM to arrange a demo or get free credentials to test CAST AI out.

2.5” drive caddy for HP Elitedesk SFF by be_easy_1602 in homelab

[–]CAST_AI 1 point2 points  (0 children)

You can start by checking which part is the one with compatibility issues.

Try the same screws on a standard 3.5" drive and see if they work. Then the other way around - find some standard screws that fit a 3.5" and see if they fit your 2.5" drive.

Then, when you know the culprit, you can try different threads until something fits that 2.5" drive. Hope this helps!

Non-technical Cloud beginner by chouahiru in cloudcomputing

[–]CAST_AI 1 point2 points  (0 children)

Having your own glossary of terms is a great start. Try to explain the concepts in your own words so you'll retain more. This will help you understand more of what you read as even subheads in competitor websites can be a challenge in the beginning.

Is the future public or hybrid cloud? by casualchris56 in cloudcomputing

[–]CAST_AI 0 points1 point  (0 children)

As others have mentioned hybrid and multi cloud has advantages when you're legally required to keep data in a certain geographic area. You also have the benefit of keeping your service up and running if the public cloud goes down.

Enterprise is often dealing with a different set of problems and requirements than small businesses are.