Managing cloud infrastructure is a constant balancing act between performance, cost, and reliability.
In this blog post, we take a closer look at how Cast AI has approached that challenge and earned a 5/5 rating on G2. We explore how Cast helps teams automate Kubernetes optimization, reduce cloud waste, and simplify operations.
Through real-world feedback and use cases, we’ll unpack what’s behind the high marks and what it means for engineers trying to do more with less.
Performance: optimizing Kubernetes without the guesswork
For DevOps teams, maintaining high performance in Kubernetes environments means juggling resource allocation, scaling decisions, and managing unpredictable workloads. Cast tackles this complexity head-on by automating these tasks at the infrastructure level. Instead of manually tuning clusters or reacting to bottlenecks, engineers can rely on Cast’s real-time autoscaling and workload-aware scheduling to keep applications running smoothly.
By continuously analyzing CPU, memory, and pod utilization, our platform ensures that workloads are placed on the most efficient nodes, reducing latency and improving throughput. The result: fewer performance hiccups, faster deployments, and more time for teams to focus on building, not firefighting.
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.
Vitalii B., DevOps
Cast AI’s ability to automatically optimize Kubernetes workloads for cost and performance is incredibly powerful. I particularly appreciate the autoscaling and rightsizing features that reduce our cloud bill without manual intervention. The interface is intuitive, and integration with AWS and GCP was seamless. The real-time cost visibility and actionable recommendations help us stay on top of resource usage.
Verified User in Computer Software, Mid-Market (51-1000 emp.)
A task that took seven days now gets done in three or four days.
Dheeraj A., Head Of DevOps
Cast AI’s autoscaler is more feature-rich and customizable than GKE’s autoscaler. This allowed for more rapid scaling up and down for more cost savings.
Verified User in Insurance
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 smoothly.
Cameron L., System Analyst
Cost: reducing Kubernetes cloud spend without sacrificing control
Cloud costs can spiral quickly in Kubernetes environments, especially when clusters are overprovisioned or underutilized. For DevOps teams, staying on budget often means making tough trade-offs between performance and spending. Cast helps shift that dynamic by automating cost optimization without compromising control.
By analyzing workload patterns and rightsizing resources in real time, Cast identifies and eliminates unused capacity, consolidates workloads efficiently, and selects the most cost-effective instances across cloud providers.
Engineers can set guardrails, monitor savings, and let the platform handle the heavy lifting, turning cost management from a reactive chore into a proactive strategy. The results are predictable cloud bills and more room in the budget for innovation.
Cast AI automatically rightsizes workloads, removes underutilized nodes, and selects the most cost-effective instances in real time—saving up to ~ 60% on cloud bills without sacrificing performance.
Their autoscaler is fast and responsive, scaling workloads vertically and horizontally with minimal delay, and supports real-time bin-packing.
Bilel I., Platform Architect
We are using Cast AI primarily to save overall cost. While using the product, it helped us identify data points to improve and make it well-architected. Reduced overall efforts and costs to develop and manage cost control mechanism.
Ravi D., Principal DevOps Engineer
We saw immediate results, with significant savings and zero downtime during implementation.
Vitalii B., DevOps
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 needed to try a solution and recommended we try Cast. from the moment we started using them, we saw 30-50% savings on clusters instantly.
Ron G., VP R&D
“I wish they would do my home savings that way as well :)
Daniel A., Senior Full Stack DevOps
Peace of mind: built on trust, reliability, and security
For DevOps teams, peace of mind comes from knowing your infrastructure is stable, secure, and predictable. Cast delivers that assurance by embedding trust and reliability into every layer of its platform. From continuous monitoring to compliance-ready security features, the system is designed to minimize risk and maximize uptime.
We adhere to industry best practices for data protection, access control, and vulnerability management, giving teams confidence that their workloads are safe. And with transparent reporting, engineers stay in control without being overwhelmed.
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 every time something changed on the workloads, meaning that now we have more time to focus on the overall picture, knowing that Cast is there to manage the costs of our infrastructure.
Ricardo S., CloudOps Engineer
The security platform was helpful in detecting critical errors and helping with a SOC2 audit.
Verified User in Insurance
…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.
Ron G., VP R&D
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.
Dario L., DevOps SRE
Conclusion: why Cast AI’s 5/5 rating isn’t just a number
By intelligently automating Kubernetes optimization, Cast empowers DevOps teams to unlock peak performance without overspending or compromising reliability. The platform’s real-time cost savings, seamless integrations, and hands-off infrastructure management aren’t just technical wins – they’re strategic advantages.
Kubernetes cost optimization
Monitor organization-wide and cluster-level resource spending. Automate resource allocation and scale instantly with zero downtime.
