Application Performance Automation
Automatically run applications faster and cost-effectively, with less risk and increased uptime.
Trusted by 800+ companies globally
Problem
Why automate application performance?
Resource optimization
A manual approach leads to wasted resources, high costs, and complexity at scale.
Security
Kubernetes’ dynamic nature complicates compliance and slows remediation.
DevOps efficiency
Balancing performance and cost is a challenge and causes DevOps toil.
Solution
Discover end-to-end application performance automation.
Manage less, save more with Cast AI.
PlatforM
Application Performance Automation Platform
Kubernetes cost optimization
Automate and cut cloud costs:
- Automatically rightsize workloads, bin-pack resources, and scale clusters
- Redistribute workloads to maximize node utilization and reduce overprovisioning
Kubernetes cost monitoring
Get actionable recommendations:
- Track your spending in real-time across cluster, namespace, and workload levels
- Track your cloud budget with detailed cost allocation for CPU, memory, storage, and GPU usage
Kubernetes security
Simplify Kubernetes security operations:
- Continuously monitor your clusters for misconfigurations, vulnerabilities, and compliance risks
- Pinpoint internet-exposed vulnerabilities, addressing critical risks and minimizing exposure
LLM optimization for AIOps
Build cost effective Gen AI applications:
- Gain detailed insights into LLM expenses across providers with an aggregated cost comparison dashboard
- Automate LLM selection, optimizing costs and performance without overspending
Ready to get started?
44,237
CPUs provisioned
280,524,844
Nodes provisioned
Integrations
Third-party tools for automation
Run Cast wherever you run Kubernetes clusters (public, on-prem, or self-managed clouds). Integrations available with Terraform, Grafana, Prometheus, Jira, Helm, and more.
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.”
800+ companies choose Cast AI.
4.8/5 50+ reviews