Application performance automation
Run Kubernetes on autopilot – faster, smarter, cost-optimized
Cast AI agents automatically redistribute workloads, maximize resource utilization, and reduce cost – letting your team innovate without worrying about infrastructure.
Trusted by 2100+ companies globally
Problem
Running Kubernetes shouldn’t be this hard
Containerized applications drive your business, but without intelligent automation, managing them at scale means constant tradeoffs between cost, performance, and time.
Overprovisioning
Manual scaling
Performance drift
Unstable workloads
Cluster sprawl
Visibility gaps
People shortage
Missed SLAs
Cost overruns
Inefficient scheduling
application performance automation platforM
Cast AI agents optimize performance and cost 24/7
Cut cloud costs automatically by rightsizing workloads, scaling clusters, and optimizing resource allocation.
Kubernetes cost optimization
Autoscale clusters intelligently with automated rightsizing, bin packing, and Spot Instance orchestration – all working together to cut costs without sacrificing performance.
Workload optimization
Continuously adjusts resource requests and limits based on real usage – ensuring every workload runs efficiently without waste or throttling.
Cost monitoring
Provides real-time visibility into your Kubernetes spend – broken down by cluster, namespace, label, and workload, with no tagging required.
Kubernetes security
Detects misconfigurations, policy violations, and vulnerabilities across clusters – enforcing best practices automatically to minimize risk.
LLM optimization
Keeps GPU workloads cost-efficient and high-performing by autoscaling based on job demand, queue depth, and resource availability – with intelligent Spot orchestration built in.
Database optimization
Optimizes managed databases by automatically selecting the right instance size, scheduling off-hours shutdowns, and reclaiming unused capacity – all without impacting performance.
Benefits
More stability. Lower costs. Higher performance. Fully automated.
Cast AI agents continuously optimize your Kubernetes environment – so you get peak efficiency and reliability, without the manual effort.
Resources that match your needs
Ensure every workload gets exactly the compute it needs – no over-provisioning, no slowdowns. Boost app performance while using fewer resources.
Your apps, always on
Deliver more reliable services with intelligent autoscaling and adaptive resource management. Cast AI keeps your infrastructure stable, even under pressure.
Max efficiency, minimum spend
Eliminate cloud waste with automated rightsizing and Spot Instance orchestration – all optimized in real time to reduce spend without impacting performance.
Give your team their time back
Replace manual scaling, tuning, and capacity planning with automation that works – freeing your DevOps team to focus on innovation and delivery.
integrations
Cast AI integrates with
Kubernetes
Case study
Akamai achieves 40-70% cloud savings, boosts engineer productivity
“I had an aha moment – an iPhone moment – with Cast. Literally two minutes into the integration, we saw the cost analytics, and I had an insight into something I had never had before and had tried to get for a very long time.”
Dekel Shavit
Sr. Director of Engineering
Case study
Yotpo automates Spot Instances, cuts 40% in cloud costs and saves time
“And with Cast AI, we didn’t do anything. Like, we didn’t do the move before, we didn’t do the move after. So there was a lot of human resources and time saved here. That was a very good experience. And again, from a cost perspective, it was highly optimized.”
Achi Solomon
Director of DevOps
Case study
Bede Gaming automatically optimizes K8s workloads with no risk to performance
“In my mind, it’s one less thing to worry about, and therefore teams can be focused on other things of potentially higher value. So having [Cast AI] just run in the background with a good level of confidence that we’re running as efficiently as we can, balancing the service that we’re providing – that’s great.”
Dan Whiteley
Chief Technology Officer
TESTIMONIALS
See what people say about Cast AI
Abhiroop Soni
Staff Engineer – DevOps at ShareChat
“I don’t have to do anything manually and we’re close to 98% commitment utilization. I used to do capacity planning twice a week for CUD management – now I do that once every two months.”
Nicolas Hug
Lead SRE at Voggt
“Cast AI gets the perfect machine for the workload every time.”
Johannes G.
Expert Lead Cloud and DevOps
“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.”
Achi Solomon
Director of DevOps at Yotpo
“The ROI was great right from the start. Reducing 40% of our compute costs just by migrating our workloads to Cast AI—that’s huge. And we haven’t even utilized all the CAST features up until now, just the automated instance selection, bin packing, and Spot instance automation.”
Ron G.
VP R&D
“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(!).”
Dekel Shavit
Senior Director of Engineering at Akamai
“For our use case, CAST was not two times better or five times better. It was immeasurably better.”
Rafael Tovar
Google Cloud Operation Leader
at Open Assessment Technologies
“Thanks to Cast AI, it was the first time that I took a vacation for a month, and nobody asked me to add more nodes to their applications because they’re running a new campaign. I was super happy because of that.”
Jenson C S
Senior Engineering Manager at ShareChat
“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.”
James O’Hare
Principal Platform Engineer at NielsenIQ
“Cast AI paid for itself close to within the first two months thanks to all the savings it generated around compute costs.”
Mark Weiler
Ex-Senior VP of Engineering at Branch
“Partnering with CAST AI has been a big success for Branch, saving us several millions of dollars per year in AWS Cloud compute costs for our Kubernetes clusters while maintaining our reliability SLAs.”
Achi Solomon
Director of DevOps at Yotpo
“After integrating Cast AI, we didn’t have to do anything during Black Friday, which is amazing. We gained not just compute cost reduction but also a reduction in engineer workload.”
Cameron L.
System Analyst
“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.”
2100+ companies choose Cast AI.
4.8/5 50+ reviews
