Cast review
What do you like best about the product?
Cloud modernization and Software composition analysis are the best features .They give the best dashboard for application portfolio.
What do you dislike about the product?
This product has some flaws in SCA.Thia does support bbinar analysis
What problems is the product solving and how is that benefiting you?
We can get to know what application need to retire and which application should move to cloud
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..!
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
Senior DevOps Engineer working with Castai on a daily basis
What do you like best about the product?
Helpful in managing clusters autoscaling and making sure we spawn the optimal nodes in regards to costs and size.
What do you dislike about the product?
Release process is not great with a bunch of breaking changes being released very often which requires a lot of changes from customer perspective.
A bunch of costs calculation or UI bugs.
What problems is the product solving and how is that benefiting you?
Scaling and costs
Great cost saving product
What do you like best about the product?
* Auto scales Kubernetes cluster based on load.
* Automatically chooses Spot instances when feasible.
* Easy to try and understand value before buying
What do you dislike about the product?
* Not much, Overall it was a very smooth experience.
What problems is the product solving and how is that benefiting you?
* Cost reduction for Kubernetes cluster.
* Detailed metrics on usage of cluster and optimization of usage.
A Kubernetes scheduling tool that we were missing
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Cast.ai allows us to easily track the cost of our clusters and the various Kubernetes applications and namespaces. And in terms of node scheduling it allows us to have Kubernetes nodes faster and better balanced than the basic scheduling of our Cloud provider. Scheduling is the feature that interested us the most, especially for setting up spot nodes (reduced rates) very easily.
Cast AI is one of the best in the field when it comes to bin packing on kubernetes
What do you like best about the product?
Highly technical team, they listen to our problems and their product allows for a lot of granularity and control.
What do you dislike about the product?
There is a lot of helm chart setups to get the configurations that we need. They caused reliability issues which says that they need to mature a bit more, but are getting there.
What problems is the product solving and how is that benefiting you?
They help us bin pack, maximize spot instances
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.
Helped us optimize AWS Cloud Spend
What do you like best about the product?
We were able to reduce our AWS cloud spend by almost 40%. This has taken a considerable amount of spend from a DevOps teams perspective. I would highly recommend CAST AI to other SaaS platforms.
What do you dislike about the product?
It took a little bit of initial time in the Kubernetes configuration but it was worth. Seems to be all good as of now.
What problems is the product solving and how is that benefiting you?
- On a high volume sign up days, our systems were getting slow at times and other times, there was a spike in CPU usage resulting into high monthly cloud costs. Our systems were not optimized for spend.
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.
