Kubernetes
Rancher
Docker
Helm.sh
Google Kubernetes Engine
Docker Swarm
Portainer
Docker Compose
Metaflow
Apache Airflow
Luigi
Azkaban
DepHell
Activeeon
StackStorm
n8n.io
Kubernetes MetaflowBased on our record, Kubernetes seems to be a lot more popular than Metaflow. While we know about 358 links to Kubernetes, we've tracked only 14 mentions of Metaflow. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Over the years, Indian developers have played increasingly vital roles in many international projects. From contributions to frameworks such as Kubernetes and Apache Hadoop to the emergence of homegrown platforms like OpenStack India, India has steadily carved out a global reputation as a powerhouse of open source talent. - Source: dev.to / about 3 hours ago
Kubernetes isn't just for container orchestration—it packs a powerful built-in service discovery system that's changing how developers think about service connectivity. It uses DNS under the hood, along with environment variables, to help services find each other. - Source: dev.to / 6 days ago
For a comprehensive overview, explore the Kubernetes 1.33 release notes and GitHub changelog. Engage with the community at events like KubeCon or join the Kubernetes Slack to collaborate on the future of cloud-native computing. With Octarine, Kubernetes continues to shine as the backbone of modern infrastructure. - Source: dev.to / 8 days ago
Imagine trying to keep a fleet of ships sailing smoothly across the ocean. You need to ensure each ship has enough crew, fuel, and cargo, and that they're all heading in the right direction. This is a complex task, requiring constant monitoring and adjustments. In the world of Kubernetes, Controllers and Operators play a similar role, ensuring your applications run smoothly and efficiently. This blog post delves... - Source: dev.to / 16 days ago
Kubernetes has become the de facto standard for container orchestration. With the rise of microservices and cloud-native applications, managing network traffic within a Kubernetes cluster has become increasingly critical. The Ingress API has been the traditional solution for managing external access to services in Kubernetes. However, with the evolution of Kubernetes and the need for more advanced traffic... - Source: dev.to / 16 days ago
Metaflow is an open source framework developed at Netflix for building and managing ML, AI, and data science projects. This tool addresses the issue of deploying large data science applications in production by allowing developers to build workflows using their Python API, explore with notebooks, test, and quickly scale out to the cloud. ML experiments and workflows can also be tracked and stored on the platform. - Source: dev.to / 6 months ago
As a data scientist/ML practitioner, how would you feel if you can independently iterate on your data science projects without ever worrying about operational overheads like deployment or containerization? Let’s find out by walking you through a sample project that helps you do so! We’ll combine Python, AWS, Metaflow and BentoML into a template/scaffolding project with sample code to train, serve, and deploy ML... - Source: dev.to / 9 months ago
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: about 2 years ago
1) I've been looking into [Metaflow](https://metaflow.org/), which connects nicely to AWS, does a lot of heavy lifting for you, including scheduling. Source: about 2 years ago
Even for people who don't have an ML background there's now a lot of very fully-featured model deployment environments that allow self-hosting (kubeflow has a good self-hosting option, as do mlflow and metaflow), handle most of the complicated stuff involved in just deploying an individual model, and work pretty well off the shelf. Source: about 2 years ago
Rancher - Open Source Platform for Running a Private Container Service
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
Helm.sh - The Kubernetes Package Manager
Azkaban - Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.