Overview
Devtron is a software delivery platform for Kubernetes apps that helps you achieve advanced maturity in just a few weeks. It is built modularly, with a Kubernetes dashboard as a base module. It can be extended to provide a seamless Kubernetes native CI/CD with a 360-degree overview of K8s applications and clusters. Deploy on demand and enable faster triage on a web-based Dashboard Interface with integrated SecOps.
Highlights
- Reach Day 1 K8s Operations maturity 10X faster
- 3X developer efficiency and confidence with out-of-box release strategies and one-click rollbacks.
- 3X cost savings achieved with improved efficiency across resources.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
From a usage point of view, we don't offer any refund. However, if you have any concerns, please reach out to us at support@devtron.ai
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
The AMI is packaged with Devtron's latest stack that can be accessed through the Public IP of the instance launched.
- Login to instance - ssh -i $key-pair.pem ubuntu@$PublicIP
- Execute the command: 'kubectl get pods -ndevtroncd'
- Wait till all pods are up and running.
- Once pods are in Running status, open Devtron dashboard at 'http://$PublicIP/dashboard'
- To get the password, execute the command: 'kubectl -n devtroncd get secret devtron-secret -o jsonpath='{.data.ADMIN_PASSWORD}' | base64 -d'
Congratulations! Now you can access the dashboard.
Devtron Configurations: After successful login move to Global Configurations -> GitOps - Add the GitOps Configurations you want. Refer to Docs for more information - https://docs.devtron.ai/global-configurations/gitops Once GitOps is done configure Global Configurations -> Container Registries - Add the container registry where all the images will be pushed and pulled from. Refer to Docs for more information - https://docs.devtron.ai/global-configurations/docker-registries If you want to deploy an application from a private repository, configure Global Configurations -> Git Accounts - Git Accounts allow you to connect your code source with Devtron. For more info, refer to the documentation -https://docs.devtron.ai/global-configurations/git-accounts
Additional Resources: Website: https://www.devtron.ai Devtron Docs: https://docs.devtron.ai Github: https://github.com/devtron-labs/devtron Try-out Devtron: https://preview.devtron.ai
Resources
Vendor resources
Support
Vendor support
Being an open-source software, we adhere to Apache License 2.0 (https://opensource.org/license/apache-2-0/ ) https://discord.devtron.ai/ prakarsh@devtron.ai , abhinav@devtron.ai
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Customer reviews
Easy to implement and use!
As per the customer support, they are very helpful and easy to contact and solve the problems. They are friendly too.
Also, used the global configurations to make the pipeline and integration more seamless.
If anywhere there was a problem with Devtron, the support team was always available.
Deployments at lightening speed and faster release cycles
The template for deployment makes it easier for a person with no prior exprience to work on it.
The helm charts deployed as demon sets help collect the metrics and give an insight of the application.
The node-selector cannot be added in the deployment template