Dev Ops Engineer at a leisure / travel company with 10,001+ employees
Real User
Top 10
Jul 3, 2026
Devtron Enterprise serves as our primary CI/CD platform for Kubernetes, and all of our workloads are managed and deployed through it. Developers manage their own workloads, and DevOps and platform teams use it for all admin tasks. We also use Devtron API keys for several automations regarding our Kubernetes visualization, visibility, and observability. A specific example of how my team uses Devtron Enterprise in our daily workflow is when we need to onboard a new application or microservice to Kubernetes. We can create a new Devtron application with dev, staging, and production pipelines. We can configure our Dockerfile and source code repository, build our application, and deploy it. We can monitor our application pods and configure ingress entirely within Devtron. Everything is done through Devtron, and we use it to manage our entire Kubernetes workload and CI/CD pipelines.
My main use case for Devtron Enterprise is AI-native Kubernetes application management. A specific example of how I use Devtron Enterprise in my daily work is for Kubernetes application management, combining Kubernetes management, CI/CD, GitOps, security, observability, cost optimization, and multi-cluster management into a single platform. I use all those features and integrate many of those things, as it supports Kubernetes-native CI/CD, has multi-cluster management, GitOps, security features such as RBAC, single sign-on, and audit logs, as well as observability and cost optimization. Most of the time, I use it for multi-cluster management to manage multiple Kubernetes clusters from one dashboard, and it supports AWS EKS and any other cloud providers.
My main use case for using Devtron Enterprise is to simplify Kubernetes deployment workflows. In our microservices-based applications, I use Devtron Enterprise to manage deployment pipelines which have multiple Kubernetes environments including staging, production, and development. When developers commit code changes, it is triggered with automated builds and container image creation. Then Devtron Enterprise deploys these images to the staging environments for testing. After validation, the same pipeline promotes the deployment to production. This automated process reduces deployment errors and improves release speed. The best use case I have observed for the organization using Devtron Enterprise is running containerized applications on Kubernetes because it is valuable for teams adopting GitOps practices and microservices architecture. The platform has helped to manage multi-cluster deployments and CI/CD workflows. It also supports enterprise governance, which includes RBAC (role-based access control) and policy management, which is very important for a large team to have role-based access. It has the capabilities and is ideal for cloud-native development teams.
Devtron Enterprise is a robust platform designed to streamline application delivery and management, catering to the intricate needs of modern development teams. It offers a comprehensive suite of tools to enhance operational efficiency.Designed for enterprises seeking agility and scalability, Devtron Enterprise simplifies the deployment process and integrates seamlessly within existing workflows. Its automation capabilities reduce manual tasks, allowing teams to focus on innovation. With a...
Devtron Enterprise serves as our primary CI/CD platform for Kubernetes, and all of our workloads are managed and deployed through it. Developers manage their own workloads, and DevOps and platform teams use it for all admin tasks. We also use Devtron API keys for several automations regarding our Kubernetes visualization, visibility, and observability. A specific example of how my team uses Devtron Enterprise in our daily workflow is when we need to onboard a new application or microservice to Kubernetes. We can create a new Devtron application with dev, staging, and production pipelines. We can configure our Dockerfile and source code repository, build our application, and deploy it. We can monitor our application pods and configure ingress entirely within Devtron. Everything is done through Devtron, and we use it to manage our entire Kubernetes workload and CI/CD pipelines.
My main use case for Devtron Enterprise is AI-native Kubernetes application management. A specific example of how I use Devtron Enterprise in my daily work is for Kubernetes application management, combining Kubernetes management, CI/CD, GitOps, security, observability, cost optimization, and multi-cluster management into a single platform. I use all those features and integrate many of those things, as it supports Kubernetes-native CI/CD, has multi-cluster management, GitOps, security features such as RBAC, single sign-on, and audit logs, as well as observability and cost optimization. Most of the time, I use it for multi-cluster management to manage multiple Kubernetes clusters from one dashboard, and it supports AWS EKS and any other cloud providers.
My main use case for using Devtron Enterprise is to simplify Kubernetes deployment workflows. In our microservices-based applications, I use Devtron Enterprise to manage deployment pipelines which have multiple Kubernetes environments including staging, production, and development. When developers commit code changes, it is triggered with automated builds and container image creation. Then Devtron Enterprise deploys these images to the staging environments for testing. After validation, the same pipeline promotes the deployment to production. This automated process reduces deployment errors and improves release speed. The best use case I have observed for the organization using Devtron Enterprise is running containerized applications on Kubernetes because it is valuable for teams adopting GitOps practices and microservices architecture. The platform has helped to manage multi-cluster deployments and CI/CD workflows. It also supports enterprise governance, which includes RBAC (role-based access control) and policy management, which is very important for a large team to have role-based access. It has the capabilities and is ideal for cloud-native development teams.