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The CAST Ai Technology and Team are outstanding.
What do you like best about the product?
The CAST AI Team and ease of implementation.
What do you dislike about the product?
The lack of being able to use the CAST console reflects actual cloud cost (after discounts) vs public on-demand costs.
What problems is the product solving and how is that benefiting you?
CAST AI is enabling us to reduce our cloud waste and cost and become more stable and efficient overall.
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The overall experience with CastAI has been great.
What do you like best about the product?
The easy installation, Deployment and upgrade.
Expert and the blazing fast support.
Very intutive UI.
One among the best documentation.
Seemless integration.
Expert and the blazing fast support.
Very intutive UI.
One among the best documentation.
Seemless integration.
What do you dislike about the product?
So far have not encountered anythign that can qualify a feature being irrelevant.
Need more fine grain control to manage interdependant workloads.
Need more fine grain control to manage interdependant workloads.
What problems is the product solving and how is that benefiting you?
We are using CASTAI primamrily to save overal cost. While using the product, it helped us identify data points to improvise and make it well architected. Reduced overal efforts and costs to develop and manage cost control mechanism.
The overall experience with CastAI has been great.
What do you like best about the product?
The easy installation, Deployment and upgrade.
Expert and the blazing fast support.
Very intutive UI.
One among the best documentation.
Seemless integration.
Expert and the blazing fast support.
Very intutive UI.
One among the best documentation.
Seemless integration.
What do you dislike about the product?
So far have not encountered anythign that can qualify a feature being irrelevant.
Need more fine grain control to manage interdependant workloads.
Need more fine grain control to manage interdependant workloads.
What problems is the product solving and how is that benefiting you?
We are using CASTAI primamrily to save overal cost. While using the product, it helped us identify data points to improvise and make it well architected. Reduced overal efforts and costs to develop and manage cost control mechanism.
Cast.AI: Innovative savings automation meets outstanding support
What do you like best about the product?
Cast.AI's cloud cost automation offers a robust solution for resource optimization through its innovative technology, significantly alleviating the burden on DevOps teams. As it integrates seamlessly into our Kubernetes clusters, it has become a critical component of our infrastructure. Without the solid support from Cast.AI, the integration process could have been risky and complex.
What truly sets Cast.AI apart is how it simplifies onboarding and ensures that users can effectively utilize all features. The support team is always prompt and effective, providing the necessary guidance to navigate the complexities of the tool. This level of assistance instills confidence in both the platform and the dedicated professionals behind it.
What truly sets Cast.AI apart is how it simplifies onboarding and ensures that users can effectively utilize all features. The support team is always prompt and effective, providing the necessary guidance to navigate the complexities of the tool. This level of assistance instills confidence in both the platform and the dedicated professionals behind it.
What do you dislike about the product?
I have no significant complaints about Cast.AI; any issues encountered during our integration journey have been promptly resolved by the support team or even directly by the developers.
What problems is the product solving and how is that benefiting you?
Reduce resource waste and lowering overall cost of our cloud infrastructure
Product is straight forward and Support is great
What do you like best about the product?
It was very easy for us to switch from AWS EKS Karpenter to CastAI. There Terraform Modules enabled us to integrate it perfectly into our Infrastructure as Code workflows.
We already during the POC, were able to reduce the Instance Costs by arround 30%, so the product payed for itself. Because of that it was very easy to convince the management to buy the product.
Right now we are working together with cast ai to implement vertical and horezontal autoscaling for all our main workloads (Cast ai VPA+ keda HPA).
We already during the POC, were able to reduce the Instance Costs by arround 30%, so the product payed for itself. Because of that it was very easy to convince the management to buy the product.
Right now we are working together with cast ai to implement vertical and horezontal autoscaling for all our main workloads (Cast ai VPA+ keda HPA).
What do you dislike about the product?
Permission Model needs to be extended. Currently there is no way to give permissions per cluster or namespace. That would be needed for shared responsibility.
What problems is the product solving and how is that benefiting you?
It improves the Cluster Node Scaling and Spot selection. This reduces Instance costs already by arround 30% for us.
We are working on implementing Autoscaling for all our major workloads, by combining cast ai's vertical pod autoscaling and Keda for horezontal autoscaling on application metrics.
We are working on implementing Autoscaling for all our major workloads, by combining cast ai's vertical pod autoscaling and Keda for horezontal autoscaling on application metrics.
A cost-savings dream for cluster administrators
What do you like best about the product?
Starting off -- CAST is extremely easy to install and configure. They offer scripted install, Helm charts, and Terraform modules which made it very simply to integrate them into our existing cluster bootstrapping process.
Once deployed you instantly are met with dashboards that wil give you valuable insights into spend, usage, and security and enacting cost savings is as simple as clicking a button.
From that moment on they do all of the legwork in node selection and ensure that your nodegroups are running at the most efficient price-point and are scaling as-needed. Say goodbye to manually provisioning and manging node groups for good.
Support has aslo been a high-point when working with CAST. In the rare occasion that we have encountered any issues they have been extraordinarily responsive and dedicate resources to assist with our problem until it is resolved, no matter the time of day or night.
Once deployed you instantly are met with dashboards that wil give you valuable insights into spend, usage, and security and enacting cost savings is as simple as clicking a button.
From that moment on they do all of the legwork in node selection and ensure that your nodegroups are running at the most efficient price-point and are scaling as-needed. Say goodbye to manually provisioning and manging node groups for good.
Support has aslo been a high-point when working with CAST. In the rare occasion that we have encountered any issues they have been extraordinarily responsive and dedicate resources to assist with our problem until it is resolved, no matter the time of day or night.
What do you dislike about the product?
The primary difficulty that we have encountered with CAST is cost justification. The tool costs significantly less money than it saves (and is by far a net positive), however, we find ourselves having to explain to leadership why our largest cost is now CAST. Ultimately this is easy to explain, it is jsut something that we encounter often.
What problems is the product solving and how is that benefiting you?
CAST handles our node selection and provisioning for us entirely. We just install cast in clusters and walk away and can trust that our costs are as low as possible and that our node provisioning will run smoothy.
CAST AI on Azure for larage scale spark workload
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
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
EC2 Worker Management Automated
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.
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.
Huge savings on our AWS cloud expenses!
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
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
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
Huge savings on our AWS cloud expenses!
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
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
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
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