Scalable Spark Deployment using Kubernetes - Part 5 : Building Spark 2.0 Docker Image
Scalable Spark Deployment using Kubernetes - Part 5 : Building Spark 2.0 Docker Image In last few posts of our kubernetes series, we discussed about the various abstractions available in the framework. In next set of posts, we will be building a spark cluster using those abstractions. As part of the cluster setup, we will discuss how to use various different configuration available in kubernetes t
5 Python libraries to lighten your machine learning load
These libraries help speed up your data pipelines, use AWS Lambda to shred through computation-heavy jobs, and work with TensorFlow models minus TensorFlow Machine learning is exciting, but the work is complex and difficult. It typically involves a lot of manual lifting—assembling workflows and pipelines, setting up data sources, and shunting back and forth between on-prem and cloud-deployed resou
Tutorial : Getting Started with Kubernetes on your Windows Laptop with Minikube
Tutorial : Getting Started with Kubernetes on your Windows Laptop with Minikube If you are looking for running Kubernetes on your Mac, go to this tutorial. I have recently covered multiple posts (1 & 2)on getting started with Docker Swarm. I personally like the simplicity of Docker Swarm and have found in my teaching experience with developers, that it was easier for most people to understand what
GitHub - fission/fission: Fast and Simple Serverless Functions for Kubernetes
Fission is an open-source, Kubernetes-native serverless framework that simplifies the deployment of functions and applications on Kubernetes. With Fission, developers can easily create and deploy serverless functions that can be triggered by a variety of events, such as HTTP requests, messages from a message queue, or scheduled tasks. Fission provides a simple, easy-to-use interface for developers
Running containers without Docker
October 26, 2016 Right now at work, my team’s job is basically to be Heroku for the rest of the company – we want it to be really easy for developers to run and operate code on our servers. I’m not going to talk right now about why “make it easier for developers to run code on our servers” might involve “containers”, because that’s a whole other post. Let’s suppose we believe that. So if you have
Minikube: easily run Kubernetes locally
This article is more than one year old. Older articles may contain outdated content. Check that the information in the page has not become incorrect since its publication. Editor's note: This is the first post in a series of in-depth articles on what's new in Kubernetes 1.3 While Kubernetes is one of the best tools for managing containerized applications available today, and has been production-re
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New framework uses Kubernetes to deliver serverless app architecture
IBM Developer
Containers & Serverless Functions Have Their Day on AWS
I tried Google Container Engine (GKE) and really liked it - it's the best cloud ... | Hacker News
http://blog.kubernetes.io/2016/09/kubernetes-1.4-making-it-easy-to-run-on-kuberentes-anywhere.html
GitHub - skippbox/ansible-aws: Ansible recipes to start Kubernetes on AWS EC2
Run Kubernetes on a Mac with Kube Solo