Modern software development, especially with containerized applications running on Kubernetes, has rapidly evolved to demand not only performance and scalability but also strong security, governance, and automation. As teams scale across multiple clusters and microservices, enforcing consistent practices across Kubernetes environments becomes essential.
Kubernetes policies are rules that control the behavior of workloads in a cluster. These rules can validate incoming resources, modify configurations, enforce naming conventions, and even ensure that security best practices are followed.
But managing these policies manually or using generic tools is time-consuming and error-prone. That's where Kyverno shines as a Kubernetes-native policy management engine, bringing policy-as-code to the heart of Kubernetes in the most intuitive way.
Kyverno is an open-source, Kubernetes-native policy engine designed to simplify the creation, validation, mutation, and generation of policies directly in Kubernetes. Unlike other policy tools like OPA (Open Policy Agent), which require learning a separate language like Rego, Kyverno uses YAML, making it approachable and intuitive for Kubernetes users.
Developers and DevOps teams can define policies using native Kubernetes Custom Resource Definitions (CRDs), which means no external DSL or policy engine is required. It integrates seamlessly with the Kubernetes admission controller, processing requests as they enter the system, ensuring misconfigurations are blocked at the earliest stage possible.
At its core, Kyverno works by hooking into the Kubernetes Admission Controller, which intercepts every request to the Kubernetes API server. When a developer or automation system attempts to create or modify a Kubernetes resource, like a Pod, Deployment, or Service, Kyverno evaluates the defined policies against that resource.
These policies can be grouped into three types of rules:
Each rule runs based on matching conditions, such as namespace, labels, resource kinds, or user groups, and can either enforce the policy (block) or audit it (report violations). This flexibility allows developers to gradually roll out policies across environments, starting in audit mode and moving to enforce mode once stable.
One of Kyverno’s standout benefits is its developer-first approach. Since it uses standard Kubernetes YAML, developers do not have to learn a new language or abstraction. Policies look and feel like other Kubernetes manifests, which dramatically reduces the learning curve and accelerates adoption.
Kyverno doesn’t just validate configurations, it provides full policy lifecycle management:
This end-to-end control transforms Kyverno from a simple validator into a powerful Kubernetes policy orchestrator.
By integrating into the admission phase of the Kubernetes lifecycle, Kyverno shifts security and compliance left, catching issues before they reach runtime. This drastically reduces risk, improves compliance, and aligns with modern DevSecOps principles.
Kyverno policies are written in YAML and stored like any other Kubernetes manifest. This means they can be versioned, tested, and managed in Git, enabling policy-as-code workflows and seamless integration into GitOps pipelines.
Moreover, with the Kyverno CLI, developers can:
To ensure workloads are correctly categorized and discoverable, you might want all Pods to have a specific label, such as app.kubernetes.io/name.
Here’s a Kyverno policy to validate that:
apiVersion: kyverno.io/v1
kind: ClusterPolicy
metadata:
name: require-app-label
spec:
validationFailureAction: enforce
rules:
- name: check-app-label
match:
resources:
kinds: ["Pod"]
validate:
message: "Pods must include the 'app.kubernetes.io/name' label"
pattern:
metadata:
labels:
app.kubernetes.io/name: "?*"
Result: If a developer forgets to add this label, the Pod creation will be blocked. This ensures better organization, observability, and tooling compatibility across environments.
Imagine you want to ensure that all Deployments have a sidecar logging container. Instead of manually adding it every time, Kyverno can mutate the resource by injecting it.
apiVersion: kyverno.io/v1
kind: ClusterPolicy
metadata:
name: inject-logging-sidecar
spec:
rules:
- name: add-logging
match:
resources:
kinds: ["Deployment"]
mutate:
patchStrategicMerge:
spec:
template:
spec:
containers:
- name: logging-sidecar
image: myregistry/logging-agent:latest
This improves consistency, ensures compliance with observability standards, and saves time during onboarding or app migration.
To avoid security risks, organizations often want to restrict images to be pulled only from trusted registries.
apiVersion: kyverno.io/v1
kind: ClusterPolicy
metadata:
name: restrict-image-registry
spec:
rules:
- name: enforce-trusted-registry
match:
resources:
kinds: ["Pod"]
validate:
message: "Only images from trusted-registry.io are allowed"
pattern:
spec:
containers:
- image: "trusted-registry.io/*"
Developers are now protected from accidentally deploying potentially unsafe or tampered images, strengthening supply chain security.
Kyverno often gets compared to OPA Gatekeeper, another Kubernetes policy engine. However, Kyverno has some distinct advantages, especially from a developer’s perspective:
However, OPA remains a strong choice in multi-domain policy management, particularly for teams managing complex business logic across APIs and microservices. But for Kubernetes-specific policy management, Kyverno is more purpose-built, easier to use, and faster to adopt.
Install Kyverno into your Kubernetes cluster using Helm or kubectl:
helm repo add kyverno https://kyverno.github.io/kyverno/
Use the Kyverno CLI to test policies against your Kubernetes manifests:
Kyverno’s ability to verify container image signatures using tools like Cosign and Sigstore makes it a key player in securing your Kubernetes supply chain.
Developers can write policies that:
Kyverno can auto-inject default CPU, memory requests/limits based on application type or team. This ensures that workloads are always correctly sized, avoiding resource contention and over-provisioning.
Kyverno empowers developers, SREs, and platform engineers to enforce consistent, scalable, and secure practices in Kubernetes environments without adding unnecessary complexity.
In today’s cloud-native world, where clusters span multiple environments, and developer velocity is key, Kyverno helps you maintain governance without slowing things down.
Whether you're a platform engineer setting guardrails or a developer looking to move fast safely, Kyverno is your go-to Kubernetes policy engine.