kubernetes policies

The problem

Kubernetes policies are partially defined as YAML, as templating logic, as programmatically enforced checks and never-ending best practices, recommendations and questions from management. Keeping everything in mind is getting impossible.

Kubernetes solutions

Our solution

Use machine logic to plan exact kubectl commands and YAML patches that let you reach the state to satisfy all constraints. Express your intent in beautiful Python language with intuitive and forgiving declarations that follow your natural thought.

Kalc vs alternatives

Chaos engineering

Chaos Engineering

Kalc is a less disruptive alternative to chaos engineering. Kalc replicates the current cluster environment in AI and provides autonomous checks and config validations without chaos in your test or in the production environment.

policy based control

Policy-based control

Rather than limiting developer changes, Kalc AI can test the effect of each change on the AI-replicated Kubernetes environment and help you maximize security and efficiency.

manual  attributes

Manually keeping up

The complexity of home-grown validation tools in the microservices space has gone way beyond any human intellectual capacity. Our intelligent risk mitigation solution can keep every version/compatibility point in mind for everyone.

Kubernetes analysis

After-the-fact analysis

The production engineering team is usually assigned to after-the-fact outage analyses and debugging to design prohibitive policies all over the cluster that inevitably lead to slowing down the process and reducing the benefits of a new architecture.

kubernetes support

Wait for a failure to happen

Many companies with early-stage Kubernetes deployments have not yet adopted failure prevention strategies. Regardless of your stage, please do not hesitate to contact us so we can help you get started.


Our AI-first approach covers substantially more risk mitigation scenarios than possible to define manually.

Kubernetes benefits

Protect your cluster from evictions, freezes, and failures to perform scaling due to missing constraints/nodes that have requested resources.

Protect your cluster from hitting resource limits. Including setting incorrect constraints. Our model of RAM/CPU resources covers all possible variations.

Protect your cluster from cron jobs with no/incorrect concurrency policies, combined with all of the eviction/freeze scenarios with the above.

Protect your cluster from idling pods on nodes with a history of consuming lots of RAM or when anti-affinity is not defined. We have a full model of restart policies and real resource consumption behaviors.

Protect your cluster from incorrectly typed labels for services. Your request destination is always safe.

What People Say About Us

"The capabilities of the AI planning in Enterprise is unmatched, and the guys at Kalc have proven that automation with commercial AI planning is unavoidable."

Mike D. Kail
CTO at Everest, former Yahoo CIO

"This could be a "must-have" feature for every Kubernetes installation."

Former President and CEO at Lucent Technologies and ex EVP at Juniper Networks

Kalc can now automate Cloud policies, Kubernetes validation, and deploy features that are up to 10 times faster. Very impressed.

Michael V Dvorkin
Distinguished Engineer at Cisco