I'm biased of course - but CAST AI solution is way better :)
First huge difference - CAST AI Kubernetes cost monitoring is free with no limits to the number of clusters you can connect or nodes as Kubecost;
CAST AI also has automation module:
-rightsizing
-autoscaling
-bin packing
-spot instances automation with fallback
-...
On average companies saves ~63% of their current cloud cost with CAST, take a look, it's FREE
Actually you could use spot instances on friendly workloads and fallback feature will move to on demand if spot is out of stock
[disclaimer - I work at CAST AI]
You could also try CAST AI - savings report is free so you don't need to sign any contract to see how much you could save. For some users ie we've saved 90% - $124k/mo cloud cost. Feel free to play around https://cast.ai/
Upfront commitments aren't cost optimization management, you're simple taking money for reselling reserved instances and if the company spend is large, most likely it will get even better price on savings plan
agree tagging is good, but you only identify costs by teams and not solving optimization part. All the way you will need tools for autoscaling or to take an advantage of spot instances
I'm biased, but most likely you could reduce your cloud costs around 63%. Would suggest to run savings report at https://cast.ai (it's free) and see where you could end, maybe you will be able to implement some recommendations by your own not activating platform.
And sign for AWS savings plan paying upfront for at least 1 year for what most likely you won't need? Not the best option IMO. Yes, I'm biased at some point.
[Disclaimer - I'm CAST AI team member]
Our savings report is completely free and it takes less than 3 minutes to get the report. To be completely truthful, you could cut your bill 40%+ with the information from it alone. We have some use cases when saved 30-40% on top of what users were saving with spot. Feel free analyze your cluster and see potential savings https://cast.ai/eks-optimizer/
Hi HN! Excited to share this with you. If you've tried using EKS or other managed Kubernetes platforms native to the cloud provider, you know how the story goes. It's easy to set up and use, but there's not much consideration to how much will it all cost. What we've built at CAST AI is a platform that both analyzes and optimizes your compute resources on EKS clusters. The process goes like this:
1. You connect your EKS cluster with read-only permissions
2. CAST AI delivers you a free savings report with suggestions for cost savings
3. You decide if the numbers make sense and either enable the automatic optimization with CAST AI or implement them on your own.The savings are usually 50% and up if you're spending at least somewhere around 4 figures on the cloud bill. I'll answer your questions here, but you can check the platform as well.
GKE is on the roadmap and coming in a few months with UI, but we already have it running in the backend, so feel free to contact us/book a demo https://cast.ai/eks-optimizer
Hi HN! Excited to share this with you. If you've tried using EKS or other managed Kubernetes platforms native to the cloud provider, you know how the story goes. It's easy to set up and use, but there's not much consideration to how much will it all cost. What we've built at CAST AI is a platform that both analyzes and optimizes your compute resources on EKS clusters. The process goes like this:
1. You connect your EKS cluster with read-only permissions
2. CAST AI delivers you a free savings report with suggestions for cost savings
3. You decide if the numbers make sense and either enable the automatic optimization with CAST AI or implement them on your own.The savings are usually 50% and up if you're spending at least somewhere around 4 figures on the cloud bill. I'll answer your questions here, but you can check the platform out here: https://cast.ai/eks-optimizer
Exactly, it's crucial using multi-clouds because you never know when you will breach any clause of ToS. It's not so difficult to manage multiclouds with management tools as Anthos, Azure Arc, of course I would suggest independent like Openshift or CAST AI which pros would be one cluster
Not sure which outage was bigger and affected more services, but 2020 and seems like 2021 would be the same for aws like for all of us and multi cloud will be a must