What do you like best about the product?

value, ease of integration, the ability to have fine-grained control over what and how we optimize

What do you dislike about the product?

That i did not use it before... (-:
but to be honest, It's one out of 3 or 4 tools that, in 20+ years of career, I'm struggling to find something to dislike

What problems is the product solving and how is that benefiting you?

cloud cost... that is the main driver but we also have more benefit such as cost insight and perf

What do you like best about the product?

Fairly simple to install, we used it's Terraform provider -- and the team onboarding with us actively addressed some minor issues from the provider on the fly (literal next day solutions +1). Initially i was pretty skeptical and nervous about handing over scaling of EC2 to a third party - but after it was in play we saw DRAMATIC savings wherever it was installed with our many EKS clusters, and little to no impact to services hosted inside of them. The impacts we had seen were from our own installations for PVC management, that we have since rectified and its been resilient since. Totally worth checking out, highly recommended.

What do you dislike about the product?

Workload optimization seems to strip out the CPU limits, and i dont see a means in the settings for it to brick that behavior. There are annoations etc - but would prefer something also to be globally accessible to prevent that. Additionally, node sizes work fairly well - but with worker consolidation we had some workers end up with 90+ pods on them -- and with our stack the resources aren't totally defined yet causing impact to other pods on the same ec2. Restricting total IP count as an optional setting would be nice.

Problems we experienced were almost entirely due to negligence from our internal staff with kubernetes manifests however -- If those were configured properly it wouldn't even be mentioned.

What problems is the product solving and how is that benefiting you?

Instead of static set workers or the generic cluster-autoscaler for kubernetes hosted in EKS, it provides a way to consolidate pods to ec2 so it can be more compacted. This ultimately saved us a ton of money overall.

What do you like best about the product?

Cast does a great job at optimizing the workload, thus reducing the cloud costs. we were pretty optimized already and it still saved us around 30-40% of the total costs(!)

The team is very engaged and really care about our success. they are always there to answer questions and do deep dives when changes are made

Also they give very good transparency so you know where you stand

And I loved the onboarding process where they monitor your clusters and tell you how much money you could have spent, which was pretty accurate when we connected them. it was a smooth process, so implementation was really painless

What do you dislike about the product?

Nothing specfic I dislike, there are always things to improve, but generally - I like the product and I like them as partners

What problems is the product solving and how is that benefiting you?

We have millions of K8S jobs running weekly. We were using the AWS scaler and we had a feeling we were paying too much for what we were running. One of our DevOps engineers thought we really need to try a solution and recommended we tried cast. from the moment we started using them we say 30-50% savings on clusters instantly.
The bin packing and better orchestration of jobs together to a great job at optimizing the use of compute resources and really saves you money
The only thing we regretted was that we waited so long

What do you like best about the product?

So we had issues in a small team managing a couple of clusters in different environment and managing them in cost effective way. We appreciate the ease of use and the efficiency gains CAST provides, allowing teams to focus on development rather than infrastructure management. We also significantly reduced cloud costs for AKS in Azure. CAST is helping for managing cluster autoscaling and spawn optimal nodes. Also additional features like security scanning and giving potential vulnerabilities in our images helps a lot. The simplicity of installation of the platform, cost optimization ,security features , bin packing, cost tracking, workloads right sizing and many more makes the platform really brilliant. Also helping us to easily upgrade k8s from version to version. Even the features that we potenatially might need and are not yet implemented they listen and plan some feature request for them.
Last but not least is the awesome fast and accurate support from CAST team in case of issues.

What do you dislike about the product?

I dont have any significant complains about CAST AI at this moment.

What problems is the product solving and how is that benefiting you?

Recommendations and cost optimization. Reducing the cost of AKS clusters.
Automation bean packing and ease of upgrade for k8s versions.
Workloads right sizing.
Reight sizing of the nodes and especially spot instances.
Responsiveness of CAST AI's support team in case of issues.
Detailed usage patterns, allowing teams to make informed decisions about optimizations.
Security image scanning feature for Vulnerabilities of the images.

What do you like best about the product?

Cast AI enabled us to significantly reduce our EKS costs, much to the delight of our board of directors. The implementation was remarkably straightforward, and making configuration changes was effortless. Cast AI also adeptly managed our cluster autoscaling needs. Their support is outstanding; the team is always available to help with configuration issues and resolve any Kubernetes challenges we face.

What do you dislike about the product?

I am yet to see any downside of using Cast AI

What problems is the product solving and how is that benefiting you?

We were looking a solution to enable to to scaling our EKS cluster which is when we came across Cast.
Being able to autoscale at the same time as reducing cost has been a huge win for us.