Blog
Product
Kubernetes
3
minutes

New Feature: Custom Kubernetes Annotations

Kubernetes annotations are key-value pairs attached to Kubernetes objects, providing a flexible way to extend the functionality of your Kubernetes resources without altering their internal specifications. These annotations serve as a tool to store additional metadata to tailor behavior, orchestrate tools, and interact seamlessly with third-party utilities that complement your Kubernetes environment. Today, we're excited to announce that Qovery supports the declaration of Custom Annotations for your Kubernetes clusters 🥳.
September 26, 2025
Romaric Philogène
CEO & Co-founder
Summary
Twitter icon
linkedin icon

Why Use Kubernetes Annotations?

Using annotations in Kubernetes gives you more control over Kubernetes internal resources like Ingress Controllers, Services, Pods, Deployment, Statefulset, <add your Kubernetes resource type>... and even third-party services. They provide enhanced features and controls without directly modifying the primary resource definitions.

Setting Custom Annotations with Qovery

At Qovery, setting up custom Kubernetes annotations is designed to be straightforward and efficient:

1/ Navigate to your Qovery dashboard and select your application.

2/ In the application settings, scroll down the "General" tab and add your Annotations Group.

Create my annotation group

3/ Select the Annotations Groups you want to attach to your app.

I attach my annotations group to my app

For enhanced management, Qovery introduces Annotations Groups, which allow you to group multiple annotations and apply them across various services, streamlining management and updates.

4/ Finally, save and deploy your changes.

Examples of Kubernetes Annotations

Here are some Kubernetes annotations that you could use:

DataDog Monitoring

This annotation integrates Nginx pods with DataDog's monitoring system to collect detailed metrics.

ad.datadoghq.com/nginx.checks: {"nginx":{"init_config":[],"instances":[{"nginx_status_url":"http://%%host%%/status"}]}}

NGINX Configuration

Adjusts the path of the NGINX ingress controller.

nginx.ingress.kubernetes.io/rewrite-target: /

Hashicorp Vault

Enables HashiCorp Vault to manage secrets for Kubernetes applications securely.

vault.hashicorp.com/role: my-role

Horizontal Pod Autoscaler (HPA)

Autoscale based on custom and external metrics.

autoscaling.kubernetes.io/metrics: "[{'type': 'Resource', 'resource': {'name': 'cpu', 'target': {'type': 'Utilization', 'averageUtilization': 80}}}]"  

Another example: This annotation sets the stabilization window, within a period during which the HPA does not decrease the number of replicas, even if there is no high load. This helps to prevent frequent scale-down operations which could lead to performance degradation during fluctuating loads.

autoscaling.kubernetes.io/scaleDownStabilizationWindowSeconds: 300

Linkerd

Automatically injects Linkerd’s service mesh resources for detailed network and performance monitoring.

linkerd.io/inject: enabled

Prometheus Scraping

Marks pods for scraping by Prometheus directly from Kubernetes.

prometheus.io/scrape: true

Istio Sidecar Injection

Ensures that Istio injects its sidecars for network traffic management within specified pods.

sidecar.istio.io/inject: true

Resource Limits

Defines the resource quota and management tier for the pod or namespace.

quota.management/cluster: gold

Helm Hooks

Specifies custom actions to be taken by Helm post-installation of a chart.

helm.sh/hook: post-install
helm.sh/hook-weight: "-5"
helm.sh/hook-delete-policy: hook-succeeded

Toleration Tags

Allows specific pods to tolerate node taints, facilitating the scheduling of pods on dedicated nodes.

scheduler.alpha.kubernetes.io/tolerations: [{"key":"dedicated","value":"search","effect":"NoSchedule"}]

Those are just a few examples. For more examples, refer to the documentation of services and internal resources deployed on your Kubernetes cluster.

Wrapping Up

Custom Kubernetes annotations on Qovery are now generally available to all users. With the Qovery Annotations Groups feature, Qovery enhances the power of Kubernetes annotations by allowing you to manage them as templates. This feature promotes reusability and ensures consistency across multiple services, simplifying the management and scaling of your Kubernetes applications. Explore this new capability and empower your team to manage Kubernetes more effectively, all within the streamlined developer experience that Qovery promises.

Start using custom Kubernetes annotations with Qovery today and take your infrastructure management to the next level!

Resources: Qovery Kubernetes Annotations documentation

Share on :
Twitter icon
linkedin icon
Tired of fighting your Kubernetes platform?
Qovery provides a unified Kubernetes control plane for cluster provisioning, security, and deployments - giving you an enterprise-grade platform without the DIY overhead.
See it in action

Suggested articles

Kubernetes
 minutes
Understanding CrashLoopBackOff: Fixing AI workloads on Kubernetes

Stop fighting CrashLoopBackOff on your AI deployments. Learn why traditional Kubernetes primitives fail large models and GPU workloads, and how to orchestrate AI infrastructure without shadow IT.

Morgan Perry
Co-founder
Kubernetes
Platform Engineering
 minutes
Mastering multi-cluster Kubernetes management: Strategies for scale

Stop fighting cluster sprawl. Learn why traditional scripting and GitOps fail at scale, and discover how to achieve fleet-wide consistency without the complexity of Kubernetes Federation.

Mélanie Dallé
Senior Marketing Manager
Developer Experience
Kubernetes
8
 minutes
Top 5 Kubernetes automation tools for streamlined management and efficiency

Looking to automate your Kubernetes environment in 2026? Discover the top automation tools, their weaknesses, and why scaling your infrastructure requires a unified management platform.

Mélanie Dallé
Senior Marketing Manager
AI
 minutes
Beyond Compute Constraints: Why AI Success is an Orchestration Problem

As the AI race shifts from hardware acquisition to GPU utilization, success is now an orchestration problem. Learn how to bridge the 84% capacity gap, eliminate "ghost" expenses, and leverage AI infrastructure copilots to maximize ROI in 2026.

Romaric Philogène
CEO & Co-founder
Kubernetes
DevOps
Platform Engineering
6
 minutes
Kubernetes vs. Docker: Escaping the complexity trap

Is Kubernetes complexity killing your team’s velocity? Compare Docker vs. Kubernetes in 2026 and discover how to get production-grade orchestration with the "Git Push" simplicity of Docker.

Morgan Perry
Co-founder
Kubernetes
DevOps
Platform Engineering
7
 minutes
Kubernetes vs. OpenShift (and how Qovery simplifies it all)

Stuck between Kubernetes and OpenShift? Discover their pros, cons, differences, and how Qovery delivers automated scaling, simplified deployments, and the best of both worlds.

Morgan Perry
Co-founder
Platform Engineering
DevOps
Kubernetes
9
 minutes
Rancher vs. OpenShift (and why Qovery might be the accelerator)

Comparing Rancher vs. OpenShift for Kubernetes management? Discover their pros, cons, and why Qovery offers a simpler, cost-effective alternative for growing teams.

Morgan Perry
Co-founder
DevOps
Platform Engineering
Kubernetes
8
 minutes
VMware Tanzu vs. Red Hat OpenShift (and why Qovery is the fast track)

Comparing VMware Tanzu vs. Red Hat OpenShift for enterprise Kubernetes? Explore their features, pros, cons, and discover why Qovery is the smarter alternative for rapid application delivery.

Morgan Perry
Co-founder

It’s time to change
the way you manage K8s

Turn Kubernetes into your strategic advantage with Qovery, automating the heavy lifting while you stay in control.