CAST AI Reviews & Product Details

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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). Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Simple configuration to get going, user friendly interface. You get a safe way to test out the features in a "view" mode before committing to your purchase, and you can activate feature by feature easily.

Deep customization using kubernets primitives and you can tune how aggressive the rebalancer is.

Dedicated support monitors your clusters metrics and utilization, and they let you know if you should consider rebalancing certain nodes, very quick reponse time and they are quick to find solutions if you run into problems. Review collected by and hosted on G2.com.

still needs work on custom replica sets, for example ones controlled by Strimzi Kafka and ArangoDB. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

Nothing specfic I dislike, there are always things to improve, but generally - I like the product and I like them as partners Review collected by and hosted on G2.com.

The simplicity of installation and use of the platform. In about 20 minutes you have your Kubernetes nodes managed by cast.ai. It was really quick and easy to set up.

The configuration of the different node types is also very convenient and the cost tracking is very powerful. Review collected by and hosted on G2.com.

Actually, nothing. The product corresponded totally to our needs and expectations. But if we really want to find something to complain about, we could talk about the price. The pricing per CPU can be disadvantageous in some cluster configurations I think. In our case, we managed to negotiate a fixed price. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I dont have any significant complains about CAST AI at this moment. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

- 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 :) Review collected by and hosted on G2.com.

To be sincere nothing until now happened that I could say that Cast.ai is not a great product Review collected by and hosted on G2.com.