Lens is a desktop application that provides a rich graphical interface for Kubernetes cluster management. Note that the open-source OpenLens project is no longer actively maintained; the current Lens product is developed and maintained by Mirantis. - Source: dev.to / 4 months ago

Lens Lens is an incredibly popular IDE for Kubernetes, offering a powerful graphical interface to interact with clusters. It simplifies the complexity of managing multiple clusters and provides tools for monitoring, logging, and troubleshooting. Site. - Source: dev.to / over 1 year ago

Thankfully, for whoever likes that approach, there are friendlier GUIs to help manage yours clusters and deployments. Rancher, developed by the same folks from K3s, is one of them, but honestly I've found too complicated to set up. In my previous job I came across an alternative that I consider much more practical: Lens. - Source: dev.to / almost 2 years ago

Lens is another Kubernetes management tool with a powerful visual interface. It's a desktop app that aims to offer an IDE-like Kubernetes experience. Lens's features include support for Helm charts, app templates, metrics monitoring across several engines, and seamless multi-cluster connectivity. You can also use Lens to control Kubernetes RBAC configs and invite team members to your clusters. - Source: dev.to / about 2 years ago

Generally I felt as if I was diving in the deepest of waters without the correct equipement and that was horrifying. Unfortunately to me, I had to dive even deeper before getting equiped with tools like ArgoCD, and k8slens. I had to start working with... HELM. - Source: dev.to / over 2 years ago

KitOps (a CNCF project backed by Jozu) offers a solution called ModelKits, which is a standardized artifact that packages an ML model with its dependencies and configuration. This open-source toolkit lets organizations, developers, and data scientists bundle their models into versionable, signable, and portable ModelKits that can be pushed to any OCI-compliant registry. The result is consistent version tracking... - Source: dev.to / 7 months ago

Ready to start versioning your prompts? Download KitOps and package your first ModelKit in minutes. - Source: dev.to / 11 months ago

And there you have it: 10 Open-source AI/ML platform engineering tools. Whether you are building scalable pipelines, tracking experiments, or deploying models in production, tools like KitOps can tackle the complexities of machine learning projects and model development while keeping your workflow efficient, user-friendly, and robust. - Source: dev.to / about 1 year ago

In machine learning (ML) projects, transitioning from experimentation to production deployment presents numerous challenges, including fragmented workflows, inconsistent processes, and scaling difficulties. These obstacles often result in project delays and increased operational costs. Effectively integrating MLOps tools with cloud platforms can address these issues by creating more coherent development processes,... - Source: dev.to / about 1 year ago

It's not the only one using OCI to package models. There's a CNCF project called KitOps (https://kitops.org) that has been around for quite a bit longer. It solves some of the limitations that using Docker has, one of those being that you don't have to pull the entire project when you want to work on it. Instead, you can pull just the data set, tuning, model, etc. - Source: Hacker News / about 1 year ago