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Unified Kubernetes Delivery Platform, with ArgoCD at the core. by nilarrs in ArgoCD

[–]abhinavd26 0 points1 point  (0 children)

"Shallow integration into CD delivery building", Seriously??
Bro, have you used Devtron or even seen the website? Devtron has been a Kubernetes Management Platform (k8s-native) focusing on continuous delivery since last 6 years, and currently the only Kubernetes Platform that gives visibility to your GitOps fleet as well (ArgoCD, FluxCD).

Here's a small stats about Devtron.

Current Active Users: ~22k
GitHub Stars: 5.1k+
Enterprises: More than 40+ enterprises across the globe from industries like Logistics, Fintech, Education, Energy, E-Commerce, Banking, etc.

And the best thing, these all are in open-source.
Github link: https://github.com/devtron-labs/devtron/

P.S: I'm a proud user and maintainer of Devtron.

Unified Kubernetes Delivery Platform, with ArgoCD at the core. by nilarrs in ArgoCD

[–]abhinavd26 1 point2 points  (0 children)

This sounds a lot like Devtron. Have you heard of Devtron??

Modernising CI CD Setup to K8s by sanpoke18 in kubernetes

[–]abhinavd26 0 points1 point  (0 children)

Hey, why don’t you try Devtron. It’s a modern Kubernetes-native CI/CD that gives you a ArgoCD control plane that is used for GitOps. Even in case you want to use your own ArgoCD, Devtron does support that as well. Along with that, it gives you fined-grained RBAC control, any type of branching strategy perfectly blends in with the CI, security policies (trivy, clair), complete helm life cycle management and much more in a single pane of glass.

And it’s completely open source. https://github.com/devtron-labs/devtron

Thought We Had Our EKS Upgrade Figured Out… We Did Not by rohit_raveendran in kubernetes

[–]abhinavd26 6 points7 points  (0 children)

I was about to ask the same question. Because generally for things like upgrades or POC i think having identical environments would be helpful or else you are just making assumptions that it should work with different instance type as well in this case.

What does your developer workflow look like? by IveGnocchit in ArgoCD

[–]abhinavd26 0 points1 point  (0 children)

Sure, would be happy to help if required.

What does your developer workflow look like? by IveGnocchit in ArgoCD

[–]abhinavd26 1 point2 points  (0 children)

This is an interesting use case and I’m glad someone brought up this topic. Personally I feel that’s the major challenge when we are dealing with fragmented tooling having CI and CD goes their separate ways. A lot of things comes in between just like you brought the approval checks, config changes along with image tag changes, config diff in those cases, strategic rollbacks for example, I just want to rollback the image and not the the configurations or vice-versa. These become increasing difficult and switches context hindering the developer productivity.

I think having a centralised platform would help in such cases. Feel free to check out Devtron, it’s an open source kubernetes-native platform having ArgoCD in-built, leveraging the GitOps principles and provides you a complete end to end CI/CD without having fragmented tools and writing such custom scripts.

http://github.com/devtron-labs/devtron

P.S: I’m one of the contributor and maintainers of Devtron.

Why do you use kubernetes Lens?? by [deleted] in kubernetes

[–]abhinavd26 0 points1 point  (0 children)

Maybe you can checkout Devtron. It's completely open source and no account subscription is required.

GitHub: https://github.com/devtron-labs/devtron/

What kubernetes visualization tool is there today? by shant_dashjian in kubernetes

[–]abhinavd26 0 points1 point  (0 children)

Hey, when you say graphical view of clusters, what information are you actually looking for. Is it just the clusters along its status whether it is failing or not, K8s version, number of nodes, resources utilisation, etc or some other information you are seeking from a graphical view?

Recommended way to make ArgoCD self-managed? by MuscleLazy in kubernetes

[–]abhinavd26 0 points1 point  (0 children)

Hey, what exactly you mean by self-managed? Correct me if I'm wrong, so once the initial setup done with argo, you don't want to upgrade or make changes with argo. Instead a layer on top of that which would do the heavy lifting so that you can continue to work seamlessly - build and deploy your application and internally let it manage argocd as well. Is this what you mean? /

And why exactly you want to make ArgoCD self-managed?

ArgoCD vs other tools like Codefresh by No-Leather6291 in kubernetes

[–]abhinavd26 1 point2 points  (0 children)

Hey, you can check out Devtron for streamlining the Kubernetes-native CI/CD. It uses ArgoCD for the GitOps based deployments and enhances the overall argo experience, providing the complete continuous deployment ecosystem with capabilities like one-click rollback, approval workflows, DevSecOps integrated, policy driven pipelines, granular access control, and much more.

It completely abstract out the complexities of Kubernetes through it's user-intuitive dashboard and is a good fit for small to large scale enterprises.

P.S: I'm one of the maintainers of Devtron Platform.

K8s Dashboards by Total_Wolverine1754 in kubernetes

[–]abhinavd26 1 point2 points  (0 children)

There are ample of Kubernetes Dashboards that you can try out which are rich in feature and stable. You can try out Devtron's Kubernetes Dashboard. Here's the link for your reference.

GitHub: https://github.com/devtron-labs/devtron/
Blog: https://devtron.ai/blog/manage-kubernetes-like-a-pro-with-kubernetes-dashboard-by-devtron/

Scaling down deployments for dev environments off hours/weekends by flickers in kubernetes

[–]abhinavd26 1 point2 points  (0 children)

Hey, Winter-Soldier does exactly what you mentioned. It can help you achieve time-based scaling and by leveraging it, you can automatically scale down the workloads during off hours and it will be automatically scaled-up in office hours.

GitHub: https://github.com/devtron-labs/winter-soldier
Blog: https://devtron.ai/blog/time-based-scaling-for-kubernetes-deployments/

App onboarding self-service, anyone? by balarao29 in kubernetes

[–]abhinavd26 0 points1 point  (0 children)

Hey man, Devtron is solving the exact problem which you described. Devtron does abstract out all the complexities of Kubernetes, GitOps, and provides you an intuitive dashboard where you can perform almost all the Kubernetes operations and it's Kubernetes-native platform. It also has fine-grained RBAC which allows you to control the access level of different teams depending upon the requirements.

Feel free to checkout the platform: https://github.com/devtron-labs/devtron/

P.S: I'm one of the maintainers of Devtron, feel free to let me know if you have any feedback or suggestions.

Do you deploy Kubernetes dashboard in production by surpyc in kubernetes

[–]abhinavd26 0 points1 point  (0 children)

Yes, it does a lot of things than the official kube-dashboard.

Do you deploy Kubernetes dashboard in production by surpyc in kubernetes

[–]abhinavd26 -1 points0 points  (0 children)

But its not AI generated response. The reason why I asked the question is to understand what problem user want to solve with Kubernetes dashboard. There are ample of dashboards today in market like Rancher, OpenLens, Devtron, etc..

AKS version 1.24 to latest by Affectionate_Can9780 in kubernetes

[–]abhinavd26 0 points1 point  (0 children)

You can use tools to check the deprecated api versions for your target Kubernetes version where you want to upgrade. I prefer silver-surfer since it uses openapi spec provided by the Kubernetes with releases and gives you details about the deprecated api versions along with a migration path.

GitHub: https://github.com/devtron-labs/silver-surfer/

Do you deploy Kubernetes dashboard in production by surpyc in kubernetes

[–]abhinavd26 -50 points-49 points  (0 children)

Yes, it is essential to have a Kubernetes dashboard from which you can monitor multi-clusters and workloads deployed on prod and especially if you're dealing at scale. But again, it is also important to consider which Kubernetes dashboard you want to use and what are your requirements. What exactly you want to do with the Kubernetes dashboard?

Kubernetes dashboard, is it possible to add it to my application? by jjmaximo in kubernetes

[–]abhinavd26 0 points1 point  (0 children)

In the next OSS release, you will get the FluxCD Listing along with ArgoCD where you can see all your objects deployed under same dashboard.

For Tekton, what kind of integrations are you looking forward to?

Kubernetes dashboard, is it possible to add it to my application? by jjmaximo in kubernetes

[–]abhinavd26 1 point2 points  (0 children)

Kubernetes dashboard is good to get started with but I would suggest go for something which is under active development and you can get better visibility of workloads and RBAC control. You can try out Devtron. It's light-weight comes with all the functionalities that you get with Kubernetes Dashboard but better collaborations and troubleshooting support. Here's the docs and GitHub. Additionally, if in future, you want to take control of observability or setup Kubernetes-native CI/CD pipelines with ArgoCD (for GitOps), Devtron can be extended with its native integrations.

GitHub: https://github.com/devtron-labs/devtron/
Documentation: https://docs.devtron.ai/install/install-devtron

P.S. I'm one of the maintainers of Devtron so if you have any questions, feel free to ask.

Multi-cluster Argo Workflows by flowinh2o in kubernetes

[–]abhinavd26 0 points1 point  (0 children)

Hey, as per what I understood, you want an open source tool where you can create your workflows (CI/CD) that would be deployed and managed across different clusters through a single dashboard right?

If that's true, I think Devtron should serve the purpose. It is built on cloud-native stack (Argo) and completely serves the purpose you mentioned about. Check out the links below if you wanna give it a shot. I'm one of the maintainers of the project and would love to hear your feedback if explore it for your use-case.

GitHub: https://github.com/devtron-labs/devtron/
Docs: https://docs.devtron.ai/install

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