Scale software platforms without friction

Modern platforms face constant demand shifts. Cast AI automates cloud-native infrastructure so systems stay reliable and performant as scale increases, without adding operational overhead for engineering teams.

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Trusted by software and technology companies running kubernetes at scale

Value

Built for fast-moving engineering teams

Automation over operational toil

Manual rightsizing, node management, and capacity planning can’t scale effectively. Continuous automation keeps environments responsive without constant human intervention.

Reliability under variable demand

User traffic, product launches, and background jobs rarely follow predictable patterns. With Cast AI, infrastructure adapts in real time to unpredictable traffic, launches, and background workloads, maintaining consistent application performance.

Efficiency without tradeoffs

Over-provisioning reduces risk but creates long-term waste. Continuous optimization improves efficiency without sacrificing stability or slowing teams down.

Adapt to unpredictable application demand

Support platforms that fluctuate with user traffic, launches, and background workloads without manual intervention.

Scale infrastructure dynamically based on real usage patterns
Maintain consistent performance during launches, campaigns, and traffic spikes
Eliminate manual capacity planning as platforms grow

Optimize safely, without downtime

Evolve infrastructure while customer-facing services remain online.

Move running, stateful, and long-lived workloads without interruption
Enable consolidation, maintenance, and optimization while applications stay available
Improve infrastructure efficiency without risking service reliability

Use Spot capacity without operational risk

Capture savings from spot instances without turning infrastructure into a full-time job.

Absorb spot interruptions automatically without impacting applications
Keep workloads running through seamless fallback to on-demand capacity
Improve efficiency while preserving predictable performance

Maintain operational visibility as you scale

Understand how infrastructure supports products, teams, and environments.

Track utilization, performance, and efficiency across clusters and workloads
Correlate infrastructure behavior with application demand
Make informed decisions without digging through fragmented tools

Case study

Akamai achieves 40-70% cloud savings, boosts engineer productivity

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“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.”