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Smooth Journey with CASTAI
What do you like best about the product?
CAST AI is an easy tool to onboard the kubernetes clusters.It provides the easy dashbords to understand the CPU and RAM utilization of the Node and workloads.It is easy to implement the things with the help of CAST.Quick action on the issues with the 24X7 customer support. Schedule rebalacing is the great feature provided by CAST with which we can schedule the rebalancing with the flexible timings.We from our organization will be frequently viewing the console.It also provides the slack configurations and alerts on the metrics.
What do you dislike about the product?
CAST AI should improve on the below features like proving the logs for the workload autoscalers,Audit logs has to be improved for more understanding of the onboardings.
What problems is the product solving and how is that benefiting you?
The main problem CAST solved me is that we have been spending alot of credits on the kuberneties clusters in our organization but with the help of the CAST we have seen huge savings.
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Maximizing Cloud Savings Through Kubernetes Automation
What do you like best about the product?
CAST AI made Kubernetes cost optimization effortless.
We saw immediate results, with significant savings and zero downtime during implementation.
Main key points:
- advanced node automation for node management and spot instance utilization
- simplicity usage with maximum savings in one package
We saw immediate results, with significant savings and zero downtime during implementation.
Main key points:
- advanced node automation for node management and spot instance utilization
- simplicity usage with maximum savings in one package
What do you dislike about the product?
I don't have any significant complaints about CAST AI.
They have been a reliable partner throughout our collaboration.
They have been a reliable partner throughout our collaboration.
What problems is the product solving and how is that benefiting you?
The ability to automatically scale and optimize workloads has not only reduced our Kubernetes costs but also freed up our DevOps team to focus on innovation rather than infrastructure management.
By automating complex optimization tasks, CAST AI helps us avoid overspending on unused resources while maintaining seamless application performance.
By automating complex optimization tasks, CAST AI helps us avoid overspending on unused resources while maintaining seamless application performance.
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.
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
A Kubernetes automation platform we were missing
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.
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.
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.
Optimise Kubernetes cost with minimal effort
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.
Being able to autoscale at the same time as reducing cost has been a huge win for us.
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