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A Kubernetes Automation Platform That Delivers and Adapts
What do you like best about the product?
CAST AI has proven instrumental in optimizing our Kubernetes operations, leading to significant cost reductions and enhanced efficiency. This platform is not only user-friendly but also effective in managing our Kubernetes clusters, providing exceptional visibility that surpasses other tools we've used. A standout feature is CAST AI's responsiveness; they swiftly address inquiries and provide support via platforms like Slack. Notably, when faced with an unusual situation of IP address shortages, CAST AI quickly identified and resolved a critical feature gap by enabling dynamic subnet additions to our clusters. This adaptability and proactive service significantly alleviated potential operational hurdles.
What do you dislike about the product?
While the benefits of using CAST AI are numerous, new or inexperienced users might find the initial steep learning curve associated with understanding Kubernetes concepts a bit daunting. However, this challenge is mitigated by the comprehensive support and guidance provided by CAST AI's team, making the learning process far more manageable. Beyond this initial phase, I have no significant complaints. CAST AI has proven to be a reliable and proactive partner, consistently addressing our needs and significantly enhancing our operational capabilities.
What problems is the product solving and how is that benefiting you?
CAST AI has been instrumental in addressing two major challenges we faced: efficient cloud resource management and cost optimization. By automating Kubernetes cluster scaling, CAST AI ensured that we use only the necessary resources, which has substantially reduced our cloud expenses. Additionally, their dynamic response to a unique situation involving a shortage of IP addresses—by enabling the addition of new subnets—demonstrated their adaptability and problem-solving capabilities. This not only resolved our immediate issue but also enhanced our trust in their tool's ability to handle unexpected challenges effectively.
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The perfect fit to manage your workloads
What do you like best about the product?
- It allowed us to not worry about the size needed for EC2 instances. Without worrying about the resources that the pods used, Cast.ai was able to help us rightsize the instances. Without it this would be a manual job everytime something changed on the workloads, meaning that now we have more time to focus on the overall picture knowing that Cast.ai is there to manage the costs of our infrastructure
- Allowed us to quickly adapt and use different workloads for spot instances for example
- Easy onboard even with the free version that allows to have an immediate knowledge on how much can it be saved
- The possibility to use all the EC2 family types available with small configurations allowed us to quickly save and be ready for future growth and minimize possible cloud failures and lack of resources. For example if the configuration uses all the same family types of EC2 is probable that at some point in time there are not enough machines on the datacenter to provide the same service to multiple clients. Cast.ai allows to select the cheapest instances using filters if needed and always checking if the instances are available, if not, the next cheapest option is used
- Great support from the team with new features appearing constantly. Our feedback is listened :)
- Allowed us to quickly adapt and use different workloads for spot instances for example
- Easy onboard even with the free version that allows to have an immediate knowledge on how much can it be saved
- The possibility to use all the EC2 family types available with small configurations allowed us to quickly save and be ready for future growth and minimize possible cloud failures and lack of resources. For example if the configuration uses all the same family types of EC2 is probable that at some point in time there are not enough machines on the datacenter to provide the same service to multiple clients. Cast.ai allows to select the cheapest instances using filters if needed and always checking if the instances are available, if not, the next cheapest option is used
- Great support from the team with new features appearing constantly. Our feedback is listened :)
What do you dislike about the product?
To be sincere nothing until now happened that I could say that Cast.ai is not a great product
What problems is the product solving and how is that benefiting you?
- It greatly reduced the costs on our side I would say at least 50% depending on the workloads used and every cluster is different.
- With the possibility to predict if SPOT instances would be available we can minimize sudden disruptions on the server, that with a mix of spot instances can help even great cost reductions
- With the possibility to predict if SPOT instances would be available we can minimize sudden disruptions on the server, that with a mix of spot instances can help even great cost reductions
Effortless Cloud Cost Savings with CAST AI
What do you like best about the product?
CAST AI has provided us with instant cost savings and streamlined our Kubernetes management.
Moreover, the team support during the integration process was brilliant. They provided exceptional assistance, ensuring a smooth and successful integration of CAST AI into our existing infrastructure.
I highly recommend CAST AI to any SaaS platform looking to optimize its cloud costs and improve operational efficiency.
Moreover, the team support during the integration process was brilliant. They provided exceptional assistance, ensuring a smooth and successful integration of CAST AI into our existing infrastructure.
I highly recommend CAST AI to any SaaS platform looking to optimize its cloud costs and improve operational efficiency.
What do you dislike about the product?
CastAI Woop had some issues with allocating mem/CPU resources for Java workloads.
What problems is the product solving and how is that benefiting you?
- Cloud Cost Reduction;
- Cluster Autoscaling;
- Efficient Resource Utilization;
- Cost Tracking.
- Cluster Autoscaling;
- Efficient Resource Utilization;
- Cost Tracking.
CAST-AI is the ironsmith of saving
What do you like best about the product?
Keeping track of your CPU is hard, and we started from nodes, watched the drop in price! and now will adopt pods adjustments as well! thank you castAI for your white gloves integration and on going support.
What do you dislike about the product?
I wish they would do my home savings that way as well :)
What problems is the product solving and how is that benefiting you?
They choose the right size of EC2 and pods size, which is a dynamic task which requires logging, monitoring, man in the middle and they do it all.
How cast is able to handle your infra, saving money making and strong and safe infra.
What do you like best about the product?
I like my communication process with the team, and I love to ask for features and support help. They always come to me in less than 5 minutes for calls or messages. The way we delegate to this tool all our infra about gke is impressive we don't worry about the scaling and the recreation of nodes.
Onboarding was super easy because the installation process was very smooth.
Amazing cost savings - we expect to reach savings of around 35% next year due to the fact that we have previously purchased CUDs with Google. They will end next year, and we’re bound to see more savings then.
Onboarding was super easy because the installation process was very smooth.
Amazing cost savings - we expect to reach savings of around 35% next year due to the fact that we have previously purchased CUDs with Google. They will end next year, and we’re bound to see more savings then.
What do you dislike about the product?
Is hard to find something, but I'll point to a specific topic, but this can be a request only for my company; I always miss some information about our infra prices or the total amount of prices related to specific nodes templates or clusters. I think is most related to our cases.
I also think the process to upgrade the tool is no transparent in different cases I found quite of differents UI bugs related to big impacts.
I also think the process to upgrade the tool is no transparent in different cases I found quite of differents UI bugs related to big impacts.
What problems is the product solving and how is that benefiting you?
We have an issue to handle the nodes before using cast, with cast when we need more pods they handle everything.
Kubernetes Optimization in Conexia S.A.
I have had the pleasure of using CAST.AI at Conexia S.A., and I must say, it's a game-changer when it comes to optimizing costs for Kubernetes clusters. This innovative platform offers a range of cutting-edge features that not only enhance cost-efficiency but also improve the overall management of your clusters.
One of the standout features of CAST.AI is its exceptional Autoscaling service for Spot instances. The platform intelligently selects instances with the lowest risk of disruption, ensuring that your applications continue running smoothly even in the face of potential restarts.
The Cost Optimization service is another remarkable aspect of CAST.AI. This feature takes the guesswork out of resource allocation by providing insightful recommendations for assigning resources to each pod in your Kubernetes deployments. This level of granular control allows you to fine-tune your cluster's resource usage, preventing over-provisioning and unnecessary expenses.
However, one of the standout advantages that truly sets CAST.AI apart is the "Evictor" service. This feature goes beyond traditional optimization techniques by intelligently compressing deployments. By identifying and consolidating resources, CAST.AI helps you significantly reduce the number of required nodes, leading to substantial cost savings. The ability to minimize deployment sprawl and achieve more with fewer resources is a major win for any organization seeking to optimize its cloud infrastructure.
In conclusion, CAST.AI is a must-have tool for anyone looking to make the most of their Kubernetes clusters while keeping costs in check. Whether you're a small startup or a large enterprise, CAST.AI has the potential to revolutionize the way you manage and optimize your Kubernetes deployments.
A experience truly positive thanks to Castai's cost-reduction tool and their efficient team
What do you like best about the product?
Castai is an incredible tool that has greatly helped us in reducing our cloud costs. When you use Castai, you also gain access to a wonderful team that is exceptionally efficient and provides valuable advice beyond just cost analysis. Moreover, the company's delivery service is the fastest I have ever seen, and their support team is highly responsive and consistently efficient.
Last but not least, the entire team is filled with talented individuals, and it is an absolute pleasure to work with them on a personal level..!
Last but not least, the entire team is filled with talented individuals, and it is an absolute pleasure to work with them on a personal level..!
What do you dislike about the product?
The aspect I find most challenging is perhaps the tool's high level of configurability, which can sometimes make it a bit difficult to fully harness its potential. However, I am thankful that their team is exceptionally adept at guiding users and assisting them in making progress, thus helping to overcome any hurdles and fully utilize its capabilities
What problems is the product solving and how is that benefiting you?
our cloud cost
a better provisionning
a quicker autoscaler
a better provisionning
a quicker autoscaler
Instant cost savings on public cloud Kubernetes
What do you like best about the product?
The onboarding was super easy. The supporting engineers provided clear guidance and worked with our DevOps to fit our needs. Eventually, the setup provides us with substantial cost savings.
What do you dislike about the product?
CAST AI worked well with only certain types of clusters. For others we did not see any substantial cost savings.
What problems is the product solving and how is that benefiting you?
It makes us certain we use our cloud at optimal level.
Stop worrying about Kubernetes node pools if you moved to Cast.ai.
What do you like best about the product?
Cast Customer support to adapt to a large system like us was really great and they were eager to listen and do changes depending upon the suggestions/requirements.
What do you dislike about the product?
Nothing as such. We have seen a lot of improvements in the products from where they started because we were one of their early adopters on a large scale.
What problems is the product solving and how is that benefiting you?
We use rebalancing extensively. That way our infrastructure stays optimized.
In terms of the Infrastructure or DevOps team, the Kubernetes management effort such as manual rightsizing, creation of node pools, and upgrade efforts are drastically reduced, so the DevOps team can focus on building products to improve developer productivity.
The mixed provision of spot v/s ondemand is an amazing feature.
Amazing customer support.
In terms of the Infrastructure or DevOps team, the Kubernetes management effort such as manual rightsizing, creation of node pools, and upgrade efforts are drastically reduced, so the DevOps team can focus on building products to improve developer productivity.
The mixed provision of spot v/s ondemand is an amazing feature.
Amazing customer support.
Cost optimisation using cast ai rebalancing and spot instances
What do you like best about the product?
The easy installation process
The cost view, divided by namespaces and workload
The kind support of the cast ai team along the setup
The cost view, divided by namespaces and workload
The kind support of the cast ai team along the setup
What do you dislike about the product?
I don't have much to say, no problem so far.
What problems is the product solving and how is that benefiting you?
The essential problem solved is cost monitoring. We now have a clear view of our k8s clusters
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